Nr. doc. | Classificazioni |
155 | 4 Contributo in Atti di Convegno (Proceeding) |
57 | 1 Contributo su Rivista |
52 | 2 Contributo in Volume |
2 | 5 Altro |
Anno | Risorsa |
---|---|
MO.SE.: MOSAIC IMAGE SEGMENTATION BASED ON DEEP CASCADING LEARNING
VIRTUAL ARCHAEOLOGY REVIEW Autore/i: Felicetti, Andrea; Paolanti, Marina; Zingaretti, Primo; Pierdicca, Roberto; Malinverni, Eva Savina Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/284972 ![]() |
|
2020 |
An Ontology-Based Study for the Design of a Database for Data Management in Precision Farming
MID-TERM AIIA 2019: Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production Autore/i: Chiappini, Stefano; Galli, Andrea; MALINVERNI, Eva Savina; Zingaretti, Primo; Orsini, Roberto; Fiorentini, Marco; Zenobi, S Editore: Springer Nature Switzerland AG 2020 Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Abstract: Precision Farming is nowadays an important challenge aiming to improve environmental quality in rural areas, giving more sustainability to agricultural operations by improving the quality of fieldworks and increasing the food safety and security for social life. To these purposes, the setting up of specific methodologies, for precision Farming Management System (FMS), is required the use of sensors and Geomatics techniques and optimization of field operation with the aim to build a precision Farming Management System (FMS) enhancing the agricultural performance and ability to predict and mitigate environmental risks. The research activities here presented belong to a multidisciplinary project named “PFRLab: Setting of a Precision Farming Robotic Laboratory for cropping system sustainability and food safety and security” founded by the Università Politecnica delle Marche during the period 2017–2020. The main goal of the research is to design a database for data management based on agriculture ontology, using as case study the experimental farm of Università Politecnica delle Marche. To solved this task, many data have been connected by advanced technologies like Unmanned (UAV), Internet of Things (IoT), Remote Sensing and field sensors. In the future, the big amount of field data allow building a Decision Support System to increase the performances of precision farming experimental trials and making farm’s decision potentially more productive and efficient. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/275510 ![]() |
2020 |
Deep understanding of shopper behaviours and interactions using RGB-D vision
MACHINE VISION AND APPLICATIONS Autore/i: Paolanti, Marina; Pietrini, Rocco; Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/284038 ![]() |
2020 |
Supervised CNN Strategies for Optical Image Segmentation and Classification in Interventional Medicine
Deep Learners and Deep Learner Descriptors for Medical Applications Autore/i: Moccia, Sara; Romeo, Luca; Migliorelli, Lucia; Frontoni, Emanuele; Zingaretti, Primo Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/279085 ![]() |
2020 |
A Decision Support System for Diabetes Chronic Care Models based on General Practitioner engagement and EHR data sharing
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE Autore/i: Frontoni, Emanuele; Romeo, Luca; Bernardini, Michele; Moccia, Sara; Migliorelli, Lucia; Paolanti, Marina; Ferri, Alessandro; Misericordia, Paolo; Mancini, Adriano; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/284443 ![]() |
2019 |
Sharing health data among general practitioners: The Nu.Sa. project
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS Autore/i: Frontoni, Emanuele; Mancini, Adriano; Baldi, Marco; Paolanti, Marina; Moccia, Sara; Zingaretti, Primo; Landro, Vincenzo; Misericordia, Paolo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266851 ![]() |
2019 |
Robotic retail surveying by deep learning visual and textual data
ROBOTICS AND AUTONOMOUS SYSTEMS Autore/i: Paolanti, M.; Romeo, L.; Martini, M.; Mancini, A.; Frontoni, E.; Zingaretti, P. Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271293 ![]() |
2019 |
Challenges of multi/hyper spectral images in precision agriculture applications
IOP Conference Series: Earth and Environmental Science Autore/i: Mancini, A.; Frontoni, E.; Zingaretti, P. Editore: Institute of Physics Publishing Luogo di pubblicazione: DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271291 ![]() |
2019 |
Satellite and UAV data for precision agriculture applications
2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019 Autore/i: Mancini, A.; Frontoni, E.; Zingaretti, P. Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271292 ![]() |
2019 |
An IoT edge-fog-cloud architecture for vision based planogram integrity
ACM International Conference Proceeding Series Autore/i: Pietrini, R.; Placidi, V.; Manco, D.; Frontoni, E.; Paolanti, M.; Zingaretti, P. Editore: Association for Computing Machinery Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271295 ![]() |
2019 |
CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Autore/i: Pietrini, R.; Liciotti, D.; Paolanti, M.; Frontoni, E.; Zingaretti, P. Editore: Springer Verlag Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271289 ![]() |
2019 |
A cloud computing architecture to map trawling activities using positioning data
Proceedings of the ASME Design Engineering Technical Conference Autore/i: Galdelli, A.; Mancini, A.; Tassetti, A. N.; Ferra Vega, C.; Armelloni, E.; Scarcella, G.; Fabi, G.; Zingaretti, P. Editore: American Society of Mechanical Engineers (ASME) Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272863 ![]() |
2019 |
A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units
ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Autore/i: Migliorelli, Lucia; Cenci, Annalisa; Bernardini, Michele; Romeo, Luca; Moccia, Sara; Zingaretti, Primo Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272362 ![]() |
2019 |
An IOT Edge-Fog-Cloud Architecture for Vision Based Pallet Integrity
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Autore/i: Vaira, R.; Pietrini, R.; Pierdicca, R.; Zingaretti, P.; Mancini, A.; Frontoni, E. Editore: Springer Verlag Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271287 ![]() |
2019 |
Visual and textual sentiment analysis of daily news social media images by deep learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Autore/i: Felicetti, A.; Martini, M.; Paolanti, M.; Pierdicca, R.; Frontoni, E.; Zingaretti, P. Editore: Springer Verlag Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271288 ![]() |
2019 |
DEEP CONVOLUTIONAL NEURAL NETWORKS for SENTIMENT ANALYSIS of CULTURAL HERITAGE
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives Autore/i: Paolanti, M.; Pierdicca, R.; Martini, M.; Felicetti, A.; Malinverni, E. S.; Frontoni, E.; Zingaretti, P. Editore: International Society for Photogrammetry and Remote Sensing Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271294 ![]() |
2019 |
Semantic 3D Object Maps for Everyday Robotic Retail Inspection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Autore/i: Paolanti, M.; Pierdicca, R.; Martini, M.; Di Stefano, F.; Morbidoni, C.; Mancini, A.; Malinverni, E. S.; Frontoni, E.; Zingaretti, P. Editore: Springer Verlag Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/270984 ![]() |
2019 |
Design, large-scale usage testing, and important metrics for augmented reality gaming applications
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS Autore/i: Pierdicca, R.; Emanuele, E.; ZINGARETTI, Primo; Mancini, A.; Loncarski, J.; Paolanti, M. Classificazione: 1 Contributo su Rivista Abstract: Augmented Reality (AR) offers the possibility to enrich the real world with digital mediated content, increasing in this way the quality of many everyday experiences. While in some research areas such as cultural heritage, tourism, or medicine there is a strong technological investment, AR for game purposes struggles to become awidespread commercial application. In this article, a novel framework for AR kid games is proposed, already developed by the authors for other AR applications such as Cultural Heritage and Arts. In particular, the framework includes different layers such as the development of a series of AR kid puzzle games in an intermediate structure which can be used as a standard for different applications development, the development of a smart configuration tool, together with general guidelines and long-life usage tests and metrics. The proposed application is designed for augmenting the puzzle experience, but can be easily extended to other AR gaming applications. Once the user has assembled the real puzzle, AR functionality within the mobile application can be unlocked, bringing to life puzzle characters, creating a seamless game that merges AR interactions with the puzzle reality. The main goals and benefits of this framework can be seen in the development of a novel set of AR tests and metrics in the pre-release phase (in order to help the commercial launch and developers), and in the release phase by introducing the measures for long-life app optimization, usage tests and hint on final users together with a measure to design policy, providing a method for automatic testing of quality and popularity improvements. Moreover, smart configuration tools, as part of the general framework, enabling multi-app and eventually also multi-user development, have been proposed, facilitating the serialization of the applications. Results were obtained from a large-scale user test with about 4 million users on a set of eight gaming applications, providing the scientific community a workflow for implicit quantitative analysis in AR gaming. Different data analytics developed on the data collected by the framework prove that the proposed approach is affordable and reliable for long-life testing and optimization. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/279595 ![]() |
2019 |
PRELIMINARY RESULTS OF NO-TILLAGE EFFECT AGAINST CONVENTIONAL TILLAGE AND FERTILIZATION ON DURUM WHEAT QUALITY
BOOK OF ABSTRACT of SIB 2019 60th CONGRESS Italian Society of Biochemistry and Molecular Biology, Lecce,, September 18 – 20, 2019 Autore/i: Alia, Sonila; Pugnaloni, Sofia; Mazzanti, Laura; Magagnini, Mattia; Cecati, Monia; Orsini, Roberto; Basili, Danilo; Belletti, Matteo; Bentivoglio, Deborah; ALBERTO BOZZI, Carlo; Chiappini, Stefano; Conti, Carla; Galli, Andrea; Giorgini, Elisabetta; Fiorentini, Marco; Malinverni, Eva Savina; Mancini, Adriano; Monaci, Elga; Passerini, Giorgio; Pro, Chiara; Santilocchi, Rodolfo; Zenobi, Stefano; Zingaretti, Primo; Vignini, Arianna Classificazione: 2 Contributo in Volume Abstract: With increasing world population, agriculture must face the challenge of ensuring the growing demand for food. Durum wheat (Triticum turgidum L. subsp. Durum) is a staple food that provides calories and nutrients in many parts of the world. It is the main cereal crop in Italy and in the Marche region is the most representative crop. The Interdepartmental Research founded by Università Politecnica delle Marche called “PFRLab: Setting of a Precision Farming Robotic Laboratory for cropping system sustainability and food safety and security”, is examining the effect of different nitrogen (N) fertilization sources, soil tillage depths and crop rotations on durum wheat quality, which is still underway. This project also aims at evaluating specific criteria for food safety, studying the effects of pollutants together with the bioavailability of nutrients. The durum wheat samples were cultivated and subsequently collected at “Pasquale Rosati” experimental farm of the Università Politecnica delle Marche on a ground divided into conventional tillage (CT) and no-tillage (NT). As regards the biochemical characterization of durum wheat, the percentage of proteins via the Kjeldahl method, lutein, and the mineral composition (Mn, Cu, Se), present in wheat grains, were evaluated. The preliminary results suggest a higher percentage of protein in the product on NT soil compared to CT; in relation to the quantity of fertilizer used N 0 Kg ha-1 and N 180 Kg ha-1 a higher protein percentage following N 180 Kg ha-1 fertilization was noted. Durum wheat is a significant source of manganese (Mn), copper (Cu), and selenium (Se) and between the two types of soil and fertilizer no significant differences were found. The same also for lutein. The NT treatment expressed its superior nature for a good level of grain quality. Further and extensive studies are planned to combine the effects of nitrogen fertilization and soil management on the main durum wheat production variables. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272847 ![]() |
2019 |
From Artificial Intelligence and Databases to Cognitive Computing: Past and Future Computer Engineering Research at UNIVPM
The First Outstanding 50 Years of “Università Politecnica delle Marche” Autore/i: Cucchiarelli, Alessandro; Diamantini, Claudia; Dragoni, Aldo Franco; Francescangeli, Fabrizio; Frontoni, Emanuele; Mancini, Adriano; Marinelli, Fabrizio; Morbidoni, Christian; Pezzella, Ferdinando; Pisacane, Ornella; Potena, Domenico; Ribighini, Giuseppa; Spalazzi, Luca; Storti, Emanuele; Ursino, Domenico; Vici, Francesco; Zingaretti, Primo Editore: Springer, Cham Classificazione: 2 Contributo in Volume Abstract: In the last decades, Computer Engineering has shown an impressive development and has become a pervasive protagonist in daily life and scientific research. Databases and Artificial Intelligence represent two of the major players in this development. Today, they are quickly converging towards a new, much more sophisticated and inclusive, paradigm, namely Cognitive Computing. This paradigm leverages Big Data and Artificial Intelligence to design approaches and build systems capable of (at least partially) reproducing human brain behavior. In this paradigm, an important role can be also played by Mathematical Programming. Cognitive systems are able to autonomously learn, reason, understand and process a huge amount of extremely varied data. Their ultimate goal is the capability of interacting naturally with their users. In the last 50 years, UNIVPM has played a leading role in scientific research in Databases and Artificial Intelligence, and, thanks to the acquired expertise, is going to play a key role in Cognitive Computing research in the future. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272654 ![]() |
2019 |
Deep learning for soil and crop segmentation from remotely sensed data
REMOTE SENSING Autore/i: Dyson, J.; Mancini, A.; Frontoni, E.; Zingaretti, P. Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271290 ![]() |
2019 |
Setting of a precision farming robotic laboratory for cropping system sustainability and food safety and security: Preliminary results
IOP CONFERENCE SERIES. EARTH AND ENVIRONMENTAL SCIENCE Autore/i: Orsini, R.; Basili, D.; Belletti, M.; Bentivoglio, D.; Bozzi, C. A.; Chiappini, Stefano; Conti, C.; Galli, A.; Giorgini, E.; Fiorentini, Marco; Malinverni, E. S.; Mancini, A.; Mazzanti, L.; Monaci, E.; Passerini, G.; Pro, Chiara; Santilocchi, R.; Vignini, A.; Zenobi, Stefano; Zingaretti, P. Classificazione: 1 Contributo su Rivista Abstract: The acceleration of Digital Agriculture is evident through the increased adoption of digital technologies on farms including smart machines, sensors and cloud computing. In this paper we present the preliminary results of the research project funded by Università Politecnica delle Marche in 2018 "PFRLab: Setting of a precision farming robotic laboratory for cropping system sustainability and food safety and security", which is still underway. In this context, as first result, an interdepartmental Research and Services Center called "Smart Farming" has been set up with the aim to strengthen multidisciplinary collaborations in the fields of Agriculture and Forestry, Geomatics, ICT and Robotics. Regarding field activities the SPAD 502 as well as Normalized Difference Vegetation Index (NDVI) provide a good estimate of the Chlorophylla+b content in durum wheat leaves so can be used to predict in a quickly and non-destructively way, the crop greenness status and to identify any nutritional deficiencies in real time. Future research activities are certainly needed to fully explore the potentialities of conservation agriculture and precision farming, and to drive the transition process from conventional agriculture to modern conservation agriculture and precision farming techniques. In-depth studies are planned on the combined effect of nitrogen fertilization and soil management on the main production variables of durum wheat in order to evaluate whether specific tools for precision agriculture applications can find significant diffusion even in Mediterranean cereal based cropping systems. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266945 ![]() |
2018 |
Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment
Proceedings - International Conference on Pattern Recognition Autore/i: Liciotti, Daniele; Paolanti, Marina; Pietrini, Rocco; Frontoni, Emanuele; Zingaretti, Primo Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266000 ![]() |
2018 |
An IoT Solution for Energy Management at Building and District Level
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA) Autore/i: Arnesano, Marco; Dyson, Jack; Fagiani, Marco; Mancini, Adriano; Revel, Gian Marco; Severini, Marco; Squartini, Stefano; Zampetti, Lorenzo; Zingaretti, Primo Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Abstract: Today the monitoring of energy variables plays a key-role in the proper management of buildings to optimize costs along with the low emission profile and comfortable environments. The monitoring could be augmented by adding also optimization aspects that could decrease the energy/costs. Up to now the optimization is performed by using building and context (district) data, but with no or rough evaluation of comfort conditions delivered to the occupants. The work presented in this paper is derived from the ENERGIS project that takes into account individual buildings and districts including detailed comfort conditions representing a novelty in the Energy Management System. The monitoring is used to locally sense the energy demand while the optimization is performed at two different scales. The first optimization tries to consider different aspects related to the thermal management of rooms, supported by a novel sensor that is able to evaluate the comfort taking into account the room model and to control the thermal actuators to track a comfort set-point. The second level of optimization starts from the collected data from each building to set-up a district model that is able to map and then predict the energy demand enabling an energy management that is built on the concept of “sharing”. This paper outlines the overall system architecture that exploits the benefit of IoT also showing the first optimization level performed on a business office showing the overall pipeline that starts from the sensing of environment and ends with the control of actuators to track an optimized set-point. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259045 ![]() |
2018 |
Use of an energy harvesting smart floor for indoor localization of people
INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY Autore/i: Contigiani, Marco; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo; Gatto, Andrea; Groppo, Riccardo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265996 ![]() |
2018 |
Energy harvesting applied to smart shoes
INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo; Gatto, Andrea Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265995 ![]() |
2018 |
Automatic Mosaic Digitalization: a Deep Learning approach to tessera segmentation
METROARCHEO, IEEE International Conference on Metrology for Archaeology and Cultural Heritage Autore/i: Felicetti, A.; Albiero, A.; Gabrielli, R.; Pierdicca, R.; Paolanti, M.; Zingaretti, P.; Malinverni, E. S. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Abstract: A mosaic, made of small coloured tiles, called tesserae or tessellas, is a form of decorative art to create images and patterns on a surface. One of the first steps to obtain digital mosaics is the segmentation process to separate (identify) tesserae. Then, various tools are necessary to catalog the digitalized scenes, to extract the figures, such as animal or human beings, from the puzzle of small pieces, to geolocalize the segmented objects and to assign a semantic meaning to them. While some mosaic segmentation approaches have already been reported in the literature, currently, mosaic segmentation is still done by human operators, resulting time consuming and error prone. We propose in this paper an automatic approach, based on Deep Learning, to segment the mosaic floor tesserae of the church of S. Stephen in Umm ar Rasas. Our approach allows to obtain automatically and with good reliability the description of the main elements of a mosaic (the tesserae) that are not homogeneous. The experients performed on the collected tesserae dataset yield high accuracies and demonstrate the effectiveness and suitability of our approach. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265914 ![]() |
2018 |
Improving Variable Rate Treatments by Integrating Aerial and Ground Remotely Sensed Data
2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018 Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265998 ![]() |
2018 |
A Synergic Photometric Stereo and Super Resolution Approach for Optical Inspection
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018 Autore/i: Galdelli, Alessandro; Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265997 ![]() |
2018 |
Introduction to the Special Issue on Applications of Mechatronic and Embedded Systems (MESA) in ITS
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Autore/i: Bertozzi, Massimo; Chen, Bo; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254075 ![]() |
2018 |
A methodological approach to fully automated highly accelerated life tests
MICROSYSTEM TECHNOLOGIES Autore/i: Massi, Gionata; Morganti, Gianluca; Claudi, Andrea; Zingaretti, Primo; Mancini, Adriano; Frontoni, Emanuele Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254077 ![]() |
2018 |
Mechatronic System to Help Visually Impaired Users during Walking and Running
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254076 ![]() |
2018 |
Design and test of a real-time shelf out-of-stock detector system
MICROSYSTEM TECHNOLOGIES Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo; Contigiani, Marco; Bello, Luigi Di; Placidi, Valerio Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240005 ![]() |
2018 |
Mechatronic and Embedded Systems for Robotics and Mobile Machines
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS Autore/i: Callegari, M.; Zingaretti, P. Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254094 ![]() |
2018 |
Deep convolutional neural network for automatic detection of damaged photovoltaic cells
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives Autore/i: Pierdicca, R.; Malinverni, E. S.; Piccinini, F.; Paolanti, M.; Felicetti, A.; Zingaretti, P. Editore: International Society for Photogrammetry and Remote Sensing Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Abstract: The number of distributed Photovoltaic (PV) plants that produce electricity has been significantly increased, and issue of monitoringand maintaining a PV plant has become of great importance and involves many challenges as efficiency, reliability, safety, and stability.This paper presents the novel approach to estimate the PV cells degradations with DCNNs. While many studies have performedimages classification, to the best of our knowledge, this is the first exploitation of data acquired with a drone equipped with a thermalinfrared sensor. The experiments on “Photovoltaic images Dataset”, a collected dataset, are presented to show the degradation problemand comprehensively evaluate the method presented in this research. Results in terms of precision, recall and F1-score show theeffectiveness and the suitability of the proposed approach. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265911 ![]() |
2018 |
Person re-identification with RGB-D camera in top-view configuration through multiple nearest neighbor classifiers and neighborhood component features selection
SENSORS Autore/i: Paolanti, Marina; Romeo, Luca; Liciotti, Daniele; Pietrini, Rocco; Cenci, Annalisa; Frontoni, Emanuele; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265999 ![]() |
2017 |
Design of an interoperable framework with domotic sensors network integration
Consumer Electronics - Berlin (ICCE-Berlin), 2017 IEEE 7th International Conference on Autore/i: Frontoni, Emanuele; Liciotti, Daniele; Paolanti, Marina; Pollini, Rama; Zingaretti, Primo Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/256690 ![]() |
2017 |
Movements analysis of preterm infants by using depth sensor
ACM International Conference Proceeding Series Autore/i: Cenci, Annalisa; Liciotti, Daniele; Frontoni, Emanuele; Zingaretti, Primo; Carnielli, Virgilio Paolo Editore: Association for Computing Machinery Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/262398 ![]() |
2017 |
Building detection in multi-source aerial data with imbalanced training samples: an approach based on the Bayesian Vector Quantizer
INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION Autore/i: BENVENUTI, FILIPPO; MANCINI, ADRIANO; POTENA, Domenico; DIAMANTINI, Claudia; FRONTONI, EMANUELE; ZINGARETTI, PRIMO Classificazione: 1 Contributo su Rivista Abstract: The problem of building detection in multi-source aerial data has a large variety of applications from map updating to the detection of illegal construction. The development of a capability to integrate multispectral and LiDAR technologies has been proved to be the most effective strategy in dealing with the problem. An automated and combined approach enables such joint capabilities to process data, reducing human effort that is usually limited to the creation of training sets. This aspect plays a key role in getting accurate results and it is central to dealing with the problem of an imbalanced data set. We tailor the Bayesian Vector Quantizer algorithm (BVQ) to the problem of building detection from multi-source high-resolution aerial data like LiDAR with a focus on the imbalanced data set problem. The result is a methodology that is optimised towards the solution of strongly imbalanced problems where noise is present and where the number of training samples for buildings over classes like trees, land and grass is one order of magnitude lower. The formulation is compared with other well-adopted approaches which highlight the relative strengths of the BVQ approach. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248350 ![]() |
2017 |
Soil / crop segmentation from remotely sensed data acquired by Unmanned Aerial System
2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017 Autore/i: Mancini, Adriano; Dyson, Jack; Frontoni, Emanuele; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255842 ![]() |
2017 |
Visual and textual sentiment analysis of brand-related social media pictures using deep convolutional neural networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Autore/i: Paolanti, Marina; Kaiser, Carolin; Schallner, René; Frontoni, Emanuele; Zingaretti, Primo Editore: Springer Verlag Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255845 ![]() |
2017 |
People Detection and Tracking from an RGB-D Camera in Top-View Configuration: Review of Challenges and Applications
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Autore/i: Liciotti, Daniele; Paolanti, Marina; Frontoni, Emanuele; Zingaretti, Primo Editore: Springer Verlag Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255843 ![]() |
2017 |
Vehicle tracking and classification from videos under illumination changes and occlusions
Proceedings of the ASME Design Engineering Technical Conference Autore/i: Sturari, Mirco; Esposto, Luca; Spurio, Christian; Tigano, Domenico; Mancini, Adriano; Zingaretti, Primo Editore: American Society of Mechanical Engineers (ASME) Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255846 ![]() |
2017 |
Robotic platform for deep change detection for rail safety and security
2017 European Conference on Mobile Robots, ECMR 2017 Autore/i: Sturari, Mirco; Paolanti, Marina; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255839 ![]() |
2017 |
Mobile robot for retail surveying and inventory using visual and textual analysis of monocular pictures based on deep learning
2017 European Conference on Mobile Robots, ECMR 2017 Autore/i: Paolanti, Marina; Sturari, Mirco; Mancini, Adriano; Zingaretti, Primo; Frontoni, Emanuele Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255840 ![]() |
2017 |
HMM-based Activity Recognition with a Ceiling RGB-D Camera
ICPRAM: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS Autore/i: Duckett, Tom; Bellotto, Nicola; Zingaretti, Primo; Frontoni, Emanuele; Liciotti, Daniele Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/256824 ![]() |
2017 |
Pervasive system for consumer behaviour analysis in retail environments
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Autore/i: Liciotti, Daniele; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Editore: Springer Verlag Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246869 ![]() |
2017 |
Person re-identification dataset with RGB-D camera in a top-view configuration
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Autore/i: Liciotti, Daniele; Paolanti, Marina; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Editore: Springer Verlag Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246871 ![]() |
2017 |
A clinical decision support system for chronic venous insufficiency
Proceedings of the ASME Design Engineering Technical Conference Autore/i: Calamanti, Chiara; Cenci, Annalisa; Bernardini, Michele; Frontoni, Emanuele; Zingaretti, Primo Editore: American Society of Mechanical Engineers (ASME) Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255844 ![]() |
2017 |
Gestione di dati multimediali
Lavorare con i Big Data. La guida completa per il Data Scientist Autore/i: Zingaretti, Primo Editore: Tecniche Nuove Luogo di pubblicazione: Milano Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/251712 ![]() |
2017 |
An intelligent RGB-D video system for bus passenger counting
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING Autore/i: Liciotti, Daniele; Cenci, Annalisa; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246111 ![]() |
2017 |
Integrating elevation data and multispectral high-resolution images for an improved hybrid Land Use/Land cover mapping
EUROPEAN JOURNAL OF REMOTE SENSING Autore/i: Sturari, Mirco; Frontoni, Emanuele; Pierdicca, Roberto; Mancini, Adriano; Malinverni, Eva Savina; Tassetti, Anna Nora; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250295 ![]() |
2017 |
Whistland: An augmented reality crowd-mapping system for civil protection and emergency management
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION Autore/i: Luchetti, Gioele; Mancini, Adriano; Sturari, Mirco; Frontoni, Emanuele; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246110 ![]() |
2017 |
HDOMO: Smart sensor integration for an active and independent longevity of the elderly
SENSORS Autore/i: Frontoni, Emanuele; POLLINI, RAMA; Russo, Paola; Zingaretti, Primo; Cerri, Graziano Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255836 ![]() |
2017 |
Shelf space re-allocation for out of stock reduction
COMPUTERS & INDUSTRIAL ENGINEERING Autore/i: Frontoni, Emanuele; Marinelli, Fabrizio; Rosetti, Roberto; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Abstract: An ILP formulation is proposed for Shelf space re-allocation problem.Out-of-stock data are collected from the Shelf Detector System in real time.Space elastic demand function is linked with real-time statistical data.Tests performed on real, random and large instances. A planogram is a detailed visual map that establishes product positions over a shelf in a retail store. It is designed to support an innovative merchandising approach, to increase sales and profits, to supply the best location of a product for suppliers and to better manage the shelves. Product selection and the shelf space reserved to each product is a central activity for retailers and Shelf Out of Stock (SOOS) events are often strongly related to planogram design. In this paper we present a solution to optimally re-allocate shelf space to minimize Out of Stock (OOS) events. The approach uses SOOS data coming in real time from a sensor network technology, named Shelf Detector System, and an Integer Linear Programming model that integrates a space elastic demand function. Experimental results, based on a real scenario in the diaper category in Belgium, have proved that the system can efficiently calculate a proper solution able to re-allocate space and reduce OOS events. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246103 ![]() |
2016 |
Robust and affordable retail customer profiling by vision and radio beacon sensor fusion
PATTERN RECOGNITION LETTERS Autore/i: Sturari, Mirco; Liciotti, Daniele; Pierdicca, Roberto; Frontoni, Emanuele; Mancini, Adriano; Contigiani, Marco; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235222 ![]() |
2016 |
Multi-Point Stereovision System for Contactless Dimensional Measurements
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS Autore/i: Fulvio, Gianluca Di; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235068 ![]() |
2016 |
Smart maintenance of riverbanks using a standard data layer and augmented reality
COMPUTERS & GEOSCIENCES Autore/i: Pierdicca, Roberto; Frontoni, Emanuele; Zingaretti, Primo; Mancini, Adriano; Malinverni, Eva Savina; Tassetti, Annanora; Marcheggiani, Ernesto; Galli, Andrea Classificazione: 1 Contributo su Rivista Abstract: Linear buffer strips (BS) along watercourses are commonly adopted to reduce run-off, accumulation of bank-top sediments and the leaking of pesticides into fresh-waters, which strongly increase water pollution. However, the monitoring of their conditions is a difficult task because they are scattered over wide rural areas. This work demonstrates the benefits of using a standard data layer and Augmented Reality (AR) in watershed control and outlines the guideline of a novel approach for the health-check of linear BS. We designed a mobile environmental monitoring system for smart maintenance of riverbanks by embedding the AR technology within a Geographical Information System (GIS). From the technological point of view, the system's architecture consists of a cloud-based service for data sharing, using a standard data layer, and of a mobile device provided with a GPS based AR engine for augmented data visualization. The proposed solution aims to ease the overall inspection process by reducing the time required to run a survey. Indeed, ordinary operational survey conditions are usually performed basing the fieldwork on just classical digitized maps. Our application proposes to enrich inspections by superimposing information on the device screen with the same point of view of the camera, providing an intuitive visualization of buffer strip location. This way, the inspection officer can quickly and dynamically access relevant information overlaying geographic features, comments and other contents in real time. The solution has been tested in fieldwork to prove at what extent this cutting-edge technology contributes to an effective monitoring over large territorial settings. The aim is to encourage officers, land managers and practitioners toward more effective monitoring and management practices Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236195 ![]() |
2016 |
Electromagnetic Technology for a New Class of Electronic Travel Aids Supporting the Autonomous Mobility of Visually Impaired People
Visually Impaired: Assistive Technologies, Challenges and Coping Strategies Autore/i: DI MATTIA, Valentina; Scalise, Lorenzo; Petrini, Valerio; Russo, Paola; DE LEO, Alfredo; Pallotta, Emanuele; Mancini, Adriano; Zingaretti, Primo; Cerri, Graziano Editore: Nova Science Publishers Classificazione: 2 Contributo in Volume Abstract: It is well known that the most common and largely used assistive technology among the visually impaired community is the white cane. Despite it is a passive technology with a very limited range of work, its easiness of use and low cost make still prevalent its use. Many technologies have been proposed as alternative assistive devices (in literature and on the market) to improve the autonomous mobility of people affected by eye diseases. Nevertheless, whatever is the physical quantity used by these active assistive technologies - mainly ultrasonic or optical sensors - they present many limitations and none of them adequately meets the international guidelines defined for the electronic travel aids and the specific requests coming from the visually impaired community. This chapter aims to provide an overview of the existing travel aids for people affected by visual disorders, discussing pros and cons of available technologies, and to describe the design and the characterization of a novel class of electronic travel aids based on electromagnetic fields, whose advantages, with respect to the traditional ultrasonic and optic devices, will be explained. Starting from a laboratory prototype, the aspects relative to the miniaturization of the device will be discussed, with a particular attention to the realization of a small radiating element to be attached onto the cane. Operative tests with a blind end user will be reported, demonstrating several potentialities of the electromagnetic technology: detecting in advance (few meters from the user) dangerous objects of different shape and material, detecting the presence of obstacles located at chest or head levels, providing the position of the obstacle respect to the user, easiness of use, etc. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235219 ![]() |
2016 |
Current Developments in Robotics and Mobile Machines
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS Autore/i: Callegari, Massimo; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/230180 ![]() |
2016 |
Visual based landing for an unmanned quadrotor
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS Autore/i: Cocchioni, Francesco; FRONTONI, Emanuele; IPPOLITI, Gianluca; LONGHI, SAURO; MANCINI, ADRIANO; ZINGARETTI, Primo Classificazione: 1 Contributo su Rivista Abstract: One of the main challenges for Unmanned Aerial Systems (UAVs) is to extend the endurance of small vehicles such as multi-rotors. Actually, Li-po batteries that guarantee a flight of about 20 min power this type of vehicles. The endurance can be extended by enabling vehicles to look for recharging station(s). In this paper, we propose a vision system able to detect and track a given pattern hosted on the target-landing platform. The pattern is also useful to estimate the UAV position while approaching the target or during the hovering close to the target. The paper focuses on an optimized adaptive thresholding technique that manages critical situations as changes in the scene’s illumination / shadows. The developed system runs at 90 Hz for processing a 752×480 grayscale image. Preliminary results on an NVidia Tegra Jetson K1 platform are also presented to distribute the computation between CPU and GPU. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/228731 ![]() |
2016 |
A multi/hyper-spectral imaging system for land use/land cover using unmanned aerial systems
2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016 Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240004 ![]() |
2016 |
A cloud-based healthcare infrastructure for medical device integration: The bilirubinometer case study
MESA 2016 - 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications - Conference Proceedings Autore/i: Cenci, Annalisa; Liciotti, Daniele; Ercoli, Ilaria; Zingaretti, Primo; Carnielli, Virgilio Paolo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240283 ![]() |
2016 |
Optimal production planning by reusing components
24th Mediterranean Conference on Control and Automation, MED 2016 Autore/i: FRONTONI, EMANUELE; MARINELLI, Fabrizio; PAOLANTI, MARINA; ROSETTI, ROBERTO; ZINGARETTI, PRIMO Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240003 ![]() |
2016 |
Implementation of a tracking system based on UWB technology in a retail environment
MESA 2016 - 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications - Conference Proceedings Autore/i: Contigiani, Marco; Pietrini, Rocco; Mancini, Adriano; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240282 ![]() |
2016 |
Cyberarchaeology: Improved way findings for archaeological parks through mobile augmented reality
Augmented Reality, Virtual Reality and Computer Graphics Autore/i: Pierdicca, Roberto; Frontoni, Emanuele; Zingaretti, Primo; Malinverni, Eva Savina; Galli, Andrea; Marcheggiani, Ernesto; Costa, Carlos Smaniotto Editore: De Paolis Lucio Tommaso, Mongelli Antonio Luogo di pubblicazione: Lecce, Italy Classificazione: 2 Contributo in Volume Abstract: Latest improvement on mobile devices capabilities definitively changed the way people experience their surroundings. Thanks to the improvement of built in sensors, devices are able to sense the environment at users’ location. The ability to provide contextual services to the visitors is a key aspect to make public parks more accessible, comprehensible end enjoyable. The paper outlines the application of Augmented Reality technologies in a real case scenario. The aim is to equip visitors with an ICT tool able to enhance their perception visiting open spaces and parks. The reporting area chosen for the study case is an Archaeological park, the Cardeto, located within an urban green open space in the outskirts of Ancona, a city in central Italy. Ensuring the success of the experiment has required an hybrid approach, with the main objective of providing visitors with an endless flow of information, anytime and anywhere. To reach this result, a mobile application has been developed, exploiting two different tracking systems: location-based and edge-based. The first one helps users to move along with a network of given Points of Interest disseminated within the park. At the same time, the second system displays a rich set of information each time a user came in close the proximity with artefacts or valuable heritages. This work is part of a wider ongoing project aiming at a better understanding of the potentials inherent the design space for smartphones in context-aware AR applications for tourists. Our experiment demonstrates the validity of purposed methodology as a promising solution for Cultural Heritage purposes. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236232 ![]() |
2016 |
Analysing human movements at mass events: A novel mobile-based management system based on active beacons and AVM
24th Mediterranean Conference on Control and Automation, MED 2016 Autore/i: Frontoni, Emanuele; Mancini, Adriano; Pierdicca, Roberto; Sturari, Mirco; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240002 ![]() |
2016 |
Optimization of obsolete part reusing: a case-study
Emerging Advances in Logistics Systems Autore/i: Rosetti, R.; Frontoni, E.; Marinelli, F.; Zingaretti, P. Editore: EUT EDIZIONI UNIVERSITÀ DI TRIESTE Luogo di pubblicazione: Trieste Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/245821 ![]() |
2015 |
Embedded Multisensor System for Safe Point-to-Point Navigation of Impaired Users
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Abstract: New smart objects to improve the quality of life in the ambient assisted living (AAL) scenario are capturing the interest of researchers and companies. In particular, novel assistive technologies are being developed to make accessible street navigation to impaired people. The solution that we propose in this new application domain of intelligent transportation systems is a framework for a safe point-to-point navigation, owing to high-detailed road graphs, including sidewalks, crosswalks, and generic “obstacles.” The system is based on a low-cost modular sensor box (embedded hardware) interfaced with a mobile/phone application that acts as an intelligent navigator. The main novelty is the capability to sense the surrounding area while being able to perform a fast path replanning, owing to a real-time link to a remote server, if an obstacle is detected. The sensing is performed using different sensors, such as ultrasound, lidar, and a 77-GHz mid-range automotive radar (absolutely novel in the AAL context), which are processed and fused in the well-established robot operating system (ROS). We tested the framework by analyzing its performance in two different configurations and environments by using, respectively, a sonar and a laser rangefinder in a building scenario and a radar in an urban environment. Even if in both cases results demonstrated a quite good robustness in the obstacle detection with a quasi-real-time route replanning, we were mainly interested and succeeded in demonstrating the high flexibility and extensibility of our framework. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234651 ![]() |
2015 |
Human activity analysis for in-home fall risk assessment
2015 IEEE International Conference on Communication Workshop, ICCW 2015 Autore/i: Liciotti, Daniele; Massi, Gionata; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235071 ![]() |
2015 |
Development of a low-cost Unmanned Surface Vehicle for digital survey
2015 European Conference on Mobile Robots, ECMR 2015 - Proceedings Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235070 ![]() |
2015 |
High-resolution mapping of river and estuary areas by using unmanned aerial and surface platforms
2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015 Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo; Longhi, Sauro Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235072 ![]() |
2015 |
Making visible the invisible. Augmented reality visualization for 3D reconstructions of archaeological sites
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Autore/i: Pierdicca, Roberto; Frontoni, Emanuele; Zingaretti, Primo; Malinverni, Eva Savina; Colosi, Francesca; Orazi, Roberto Editore: Springer Verlag Classificazione: 2 Contributo in Volume Abstract: In archaeology, findings are completely freed from the earth which had been covering for centuries but in most cases they must be cov- ered again in order to protect them. In this paper we present a augmented reality (AR) experience for the visualization of 3D models in-situ, giv- ing the possibility to see conceived findings. The experience was carried out for archaeological purposes in Chan Chan, the America’s greatest pre-Columbian town. From 2001, our mission is operating at Chan Chan carrying on a wide action of documentation, conservation and exploita- tion. We propose an interesting workflow: image acquisition, 3D pho- togrammetric reconstruction, 3D simplification, AR visualization. Also a knowledge base applied to archaeological sites is here presented. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/229160 ![]() |
2015 |
Advanced Interaction with Paintings by Augmented Reality and High Resolution Visualization: A Real Case Exhibition
Augmented and Virtual Reality Autore/i: PIERDICCA, ROBERTO; FRONTONI, EMANUELE; ZINGARETTI, PRIMO; STURARI, MIRCO; CLINI, Paolo; QUATTRINI, RAMONA Editore: Springer International Publishing Classificazione: 2 Contributo in Volume Abstract: In this paper, an interactive installation system for the enjoyment of the cultural heritage in a real case museum environment is presented. By using Augmented Reality technology, mobile application and High Resolution visualization we provide the users with a visual augmentation of their surroundings and a touch interaction technique to display digital contents for cultural heritage promotion, allowing museum visitors to interact with digital contents in an intuitive and exciting manner. The exhibition here presented is the result of previous research over the use of new technologies (e.g. Augmented Reality) for Cultural Heritage promotion. Descriptions of the hardware system component and software development details are presented, with particular focus over the application implementation. Furthermore, we outline a possible Multimedia AR Installation connected with a semantic network. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/227611 ![]() |
2015 |
Exposure protocol setup for agro food treatment. Method and system for developing an application for heating in reverberation chamber
Mediterranean Microwave Symposium Autore/i: Paolanti, Marina; Pollini, Rama; Frontoni, Emanuele; Mancini, Adriano; DE LEO, Roberto; Zingaretti, Primo; Bisceglia, Bruno Editore: IEEE Computer Society Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240006 ![]() |
2015 |
Low cost embedded system for increasing retail environment intelligence
2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015 Autore/i: Pierdicca, Roberto; Liciotti, Daniele; Contigiani, Marco; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235069 ![]() |
2015 |
Accurate modeling of the microwave treatment in reverberating chamber. sanitation of agro food material
Mediterranean Microwave Symposium Autore/i: Paolanti, Marina; Bacchiani, Roberto; Frontoni, Emanuele; Mancini, Adriano; DE LEO, Roberto; Zingaretti, Primo; Bisceglia, Bruno Editore: IEEE Computer Society Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240007 ![]() |
2015 |
Non-Contact Monitoring of Preterm Infants Using RGB-D Camera
ASME Proceedings | 2015 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications Autore/i: Cenci, Annalisa; Liciotti, Daniele; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Abstract: In this study, we present a medical imaging method to estimate the preterm infant respiratory rate with a non invasive embedded RGB-D sensor. The respiratory rate is derived by measuring morphological chest wall movements with a depth sensor. The performances of our method are evaluated by comparing the values of respiratory rate measurements obtained using our method with those resulting from a standard reference device, used as a benchmark. Experimental results showed that the proposed method can correctly measure the respiratory rate in preterm infants and activates an alarm signal when respiratory rate values go out of the physiological range or when the infant remains stationary for a long time. As future development, the project can be used as multi-purpose non invasive test on movements and their symmetry or on the infants’ ability to correctly inflate. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235078 ![]() |
2015 |
Energy harvesting smart floor for indoor people localization and tracking
Proceedings of the ASME Design Engineering Technical Conference Autore/i: Gatto, Andrea; Bassoli, Elena; Contigiani, Marco; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Editore: American Society of Mechanical Engineers (ASME) Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240013 ![]() |
2015 |
Automatic classification for anti mixup events in advanced manufacturing system
Proceedings of the ASME Design Engineering Technical Conference Autore/i: Paolanti, Marina; Frontoni, Emanuele; Mancini, Adriano; Pierdicca, Roberto; Zingaretti, Primo Editore: American Society of Mechanical Engineers (ASME) Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240012 ![]() |
2015 |
Introduction to the Special Issue on Mechatronic and Embedded Systems and Applications in ITS
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Autore/i: Bertozzi, Massimo; Chen, Bo; Gao, Yanqing; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240011 ![]() |
2015 |
Embedded vision sensor network for planogram maintenance in retail environments
SENSORS Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235067 ![]() |
2014 |
Smart maintenance‐real time visualization of GIS‐based information for river basin risks and hazard assessment
GEOBIA 2014, Αdvancements, trends and challenges, 5th Geographic Object-Based Image Analysis Conference Autore/i: Malinverni, E.S.; Tassetti, A.N.; Pierdicca, R.; Frontoni, E.; Mancini, A.; Zingaretti, P.; Marcheggiani, E. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/225729 ![]() |
2014 |
An automatic analysis of shoppers behaviour using a distributed RGB-D cameras system
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on Autore/i: D. Liciotti; P. Zingaretti; V. Placidi Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210930 ![]() |
2014 |
Point to point navigation for people with mobility impairments
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on Autore/i: A. Mancini; P. Zingaretti Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210929 ![]() |
2014 |
Feature group matching: a novel method to filter out incorrect local feature matchings
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Classificazione: 1 Contributo su Rivista Scheda della pubblicazione: https://iris.univpm.it/handle/11566/129083 ![]() |
2014 |
Unmanned ground and aerial vehicles in extended range indoor and outdoor missions
2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings Autore/i: Cocchioni F.; Pierfelice V.; Benini A.; Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo; Ippoliti, Gianluca; Longhi, Sauro Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/175115 ![]() |
2014 |
Integrating elevation data and multispectral high‐resolution images for an improved hybrid Land Use/Land Cover mapping
GEOBIA 2014, Αdvancements, trends and challenges, 5th Geographic Object-Based Image Analysis Conference Autore/i: Malinverni, E.S.; Frontoni, E.; Mancini, A.; Tassetti, A.N.; Pierdicca, R.; Zingaretti, P. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/225727 ![]() |
2014 |
RGBD Sensors for Human Activity Detection in AAL Environments
Ambient Assisted Living Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/225724 ![]() |
2014 |
Security Issues for Data Sharing and Service Interoperability in eHealth Systems: the Nu.Sa. Test Bed
IEEE International Carnahan Conference on Security Technologyis- ICCST Autore/i: E. Frontoni; M. Baldi; P. Zingaretti; E. Landro; P. Misericordia Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210913 ![]() |
2014 |
Interoperability issues among smart home technological frameworks
Proc. of 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA) Autore/i: Rossi, L.; Belli, A.; De Santis, A.; Diamantini, C.; Frontoni, E.; Gambi, E.; Palma, L.; Pernini, L.; Pierleoni, P.; Potena, D.; Raffaeli, L.; Spinsante, S.; Zingaretti, P.; Cacciagrano, D.; Corradini, F.; Culmone, R.; De Angelis, F.; Merelli, E.; Re, B. Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667 Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/193504 ![]() |
2014 |
GPU acceleration of feature extraction and matching algorithms
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on Autore/i: M. Marinelli; A. Mancini; P. Zingaretti Editore: Institute of Electrical and Electronics Engineers Inc Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210915 ![]() |
2014 |
Shopper Analytics: a customer activity recognition system using a distributed RGB-D camera network
Video Analytics for Audience Measurement Autore/i: Daniele Liciotti; Marco Contigiani; Emanuele Frontoni; Adriano Mancini; Primo Zingaretti; Valerio Placidi Editore: Springer Verlag Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210931 ![]() |
2014 |
A real-time reliability and durability testing framework
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on Autore/i: G. Massi; G. Morganti; A. Claudi; P. Zingaretti Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210928 ![]() |
2014 |
Real time out of shelf detection using embedded sensor network
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on Autore/i: E. Frontoni; A. Mancini; P. Zingaretti Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210927 ![]() |
2014 |
A stereovision system for dimensional measurementws in industrial robotics applications
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on Autore/i: G., Di Fulvio; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo Editore: Institute of Electrical and Electronics Engineers Inc Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210914 ![]() |
2014 |
Advanced Integration of Multimedia Assistive Technologies: a prospective outlook
Proceedings of MESA 2014 Autore/i: D. Liciotti; G. Ferroni; E. Frontoni; S. Squartini; E. Principi; R. Bonfigli; P. Zingaretti; F. Piazza Classificazione: 4 Contributo in Atti di Convegno (Proceeding) Abstract: In the recent years several studies on population ageing in the most advanced countries argued that the share of people older than 65 years is steadily increasing. In order to tackle this phenomena, a significant effort has been devoted to the development of advanced technologies for supervising the domestic environments and their inhabitants to provide them assistance in their own home. In this context, the present paper aims to delineate a novel, highly-integrated system for advanced analysis of human behaviours. It is based on the fusion of the audio and vision frameworks, developed at the Multimedia Assistive Technology Laboratory (MATeLab) of the Università Politecnica delle Marche, in order to operate in the ambient assisted living context exploiting audio-visual domain features. The existing video framework exploits vertical RGB-D sensors for people tracking, interaction analysis and users activities detection in domestic scenarios. The depth information has been used to remove the affect of the appearance variation and to evaluate users activities inside the home and in front of the fixtures. In addition, group interactions are monitored and analysed. On the other side, the audio framework recognises voice commands by continuously monitoring the acoustic home environment. In addition, a hands-free communication to a relative or to a healthcare centre is automatically triggered when a distress call is detected. Echo and interference cancellation algorithms guarantee the high-quality communication and reliable speech recognition, respectively. The system we intend to delineate, thus, exploits multi-domain information, gathered from audio and video frameworks each, and stores them in a remote cloud for instant processing and analysis of the scene. Related actions are consequently performed. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/179906 ![]() |
2014 |
Welcome message
MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings Autore/i: Gao, Yanqing; Zingaretti, Primo; Koo, Ja Choon; Frontoni, Emanuele Editore: Institute of Electrical and Electronics Engineers Inc. Classificazione: 2 Contributo in Volume Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240288 ![]() |
2014 |
SIT-REM: An Interoperable and Interactive Web Geographic Information System for Fauna, Flora and Plant Landscape Data Management
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo; Malinverni, Eva; Pesaresi, Simone; Biondi, Edoardo; Pandolfi, Massimo; Marseglia, Maria; Sturari, Mirco; Zabaglia, Claudio Classificazione: 1 Contributo su Rivista Abstract: The main goal of the SIT-REM project is the design and the development of an interoperable web-GIS environment for the information retrieval and data editing/updating of the geobotanical and wildlife map of Marche Region. The vegetation, plant landscape and faunistic analysis allow the realization of a regional information system for wildlife-geobotanical data. A main characteristic of the SIT-REM is its flexibility and interoperability, in particular, its ability to be easily updated with the insertion of new types of environmental, faunal or socio-economic data and to generate analyses at any geographical (from regional to local) or quantitative level of detail. Different query levels obtain the latter: spatial queries, hybrid query builder and WMSs usable by means of a GIS. SIT-REM has been available online for more than a year and its use over this period has produced extensive data about users' experiences.. © 2014 by the authors; licensee MDPI, Basel, Switzerland Scheda della pubblicazione: https://iris.univpm.it/handle/11566/225726 ![]() |
2014 |
Information management for intelligent retail environment: the Shelf Detector system
INFORMATION Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo; Valerio, Placidi Classificazione: 1 Contributo su Rivista Abstract: Shelf out of stock is one of the leading motivations of technology innovation in the shelf of the future. The Shelf Detector project described in this paper aims to solve the problem of data knowledge in the shelf out of stock (SOOS) problem. This paper is mainly focused on the information layer of the system and main novelties illustrated in this work are in the information field demonstrating the huge number of insights that can be derived from the use of such a tool able to gather data in real time from the store. The tool presented is the first being installed for long time in a high number of stores and products demonstrating the ability to gather data from there and extract interesting insights. This paper aims to demonstrate the feasibility and the scalability of our system in providing a high number of data and interesting insights for store team and marketing team. The cloud based architecture developed and tested in this project is a key feature of our system together with the ability to collect data from a distributed sensor network. Scheda della pubblicazione: https://iris.univpm.it/handle/11566/128495 ![]() |
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