@article {, title = {A Synergic Integration of AIS Data and SAR Imagery to Monitor Fisheries and Detect Suspicious Activities}, journal = {Sensors}, volume = {21}, year = {2021}, month = {04/2021}, abstract = {

Maritime traffic and fishing activities have accelerated considerably over the last decade, with a consequent impact on the environment and marine resources. Meanwhile, a growing number of ship-reporting technologies and remote-sensing systems are generating an overwhelming amount of spatio-temporal and geographically distributed data related to large-scale vessels and their movements. Individual technologies have distinct limitations but, when combined, can provide a better view of what is happening at sea, lead to effectively monitor fishing activities, and help tackle the investigations of suspicious behaviors in close proximity of managed areas. The paper integrates non-cooperative Synthetic Aperture Radar (SAR) Sentinel-1 images and cooperative Automatic Identification System (AIS) data, by proposing two types of associations: (i) point-to-point and (ii) point-to-line. They allow the fusion of ship positions and highlight {\textquotedblleft}suspicious{\textquotedblright} AIS data gaps in close proximity of managed areas that can be further investigated only once the vessel{\textemdash}and the gear it adopts{\textemdash}is known. This is addressed by a machine-learning approach based on the Fast Fourier Transform that classifies single sea trips. The approach is tested on a case study in the central Adriatic Sea, automatically reporting AIS-SAR associations and seeking ships that are not broadcasting their positions (intentionally or not). Results allow the discrimination of collaborative and non-collaborative ships, playing a key role in detecting potential suspect behaviors especially in close proximity of managed areas.

}, keywords = {Automatic Identification System, Machine Learning, maritime surveillance, Synthetic Aperture Radar data integration}, issn = {1424-8220}, doi = {10.3390/s21082756}, url = {https://www.mdpi.com/1424-8220/21/8/2756}, author = {Alessandro Galdelli and Adriano Mancini and Carmen Ferra Vega and Anna Nora Tassetti} } @conference {, title = {A Synergic Photometric Stereo and Super Resolution Approach for Optical Inspection}, booktitle = {2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)}, year = {2018}, month = {2018}, pages = {1-8}, abstract = {

Three-dimensional reconstruction is a very important technique of Computer Vision that produces a three-dimensional (3D) model of a real scene. For this purpose, we use Photometric Stereo that allows you to shape estimation from several images under different lighting conditions. In the last few years, this technology has been used in many areas both working and scientific. An important sector where Photometric Stereo is used is quality control inside productive cycle. In some case, the model 3D is used to identify defects or to make measurements of the order of hundredths or even thousandths of millimeters. To obtain an accurate 3D model, it is necessary to use an cost-effective reconstruction system with a performance hardware. Alternatively, we propose a method that combine Photometric Stereo with Super Resolution that produces a very accurate model using cheap and lower performance hardware that is suitable for optical inspection. Indeed, the Super Resolution allows to overcome the hardware constraint and produce one high resolution image from a set of low resolution images. With this novel method, we obtain a very accurate 3D model that could be in a decision support system for optical inspection.

}, doi = {10.1109/MESA.2018.8449206}, url = {https://doi.org/10.1109/MESA.2018.8449206}, author = {Alessandro Galdelli and Adriano Mancini and Emanuele Frontoni and Primo Zingaretti} } @article {pierdicca2016smart, title = {Smart maintenance of riverbanks using a standard data layer and Augmented Reality}, journal = {Computers \& Geosciences}, volume = {95}, year = {2016}, pages = {67{\textendash}74}, publisher = {Pergamon}, author = {Roberto Pierdicca and Emanuele Frontoni and Primo Zingaretti and Adriano Mancini and Eva Savina Malinverni and Anna Nora Tassetti and Marcheggiani, Ernesto and Galli, Andrea} } @article {Liciotti2014, title = {Shopper analytics: A customer activity recognition system using a distributed rgb-d camera network}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {8811}, year = {2014}, note = {cited By 0}, abstract = {The aim of this paper is to present an integrated system consisted of a RGB-D camera and a software able to monitor shoppers in intelligent retail environments. We propose an innovative low cost smart system that can understand the shoppers{\textquoteright} behavior and, in particular, their interactions with the products in the shelves, with the aim to develop an automatic RGB-D technique for video analysis. The system of cameras detects the presence of people and univocally identifies them. Through the depth frames, the system detects the interactions of the shoppers with the products on the shelf and determines if a product is picked up or if the product is taken and then put back and finally, if there is not contact with the products. The system is low cost and easy to install, and experimental results demonstrated that its performances are satisfactory also in real environments.}, doi = {10.1007/978-3-319-12811-5_11}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84921652873\&partnerID=40\&md5=44bc641a712fa9af6ffd341f41b0aec0}, author = {Daniele Liciotti and Marco Contigiani and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti and Valerio Placidi} } @article {Frontoni2014853, title = {SIT-REM: An interoperable and interactive web geographic information system for fauna, flora and plant landscape data management}, journal = {ISPRS International Journal of Geo-Information}, volume = {3}, number = {2}, year = {2014}, note = {cited By 0}, pages = {853-867}, publisher = {MDPI AG}, 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{\textquoteright} experiences.. {\textcopyright} 2014 by the authors; licensee MDPI, Basel, Switzerland.}, issn = {22209964}, doi = {10.3390/ijgi3020853}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84948991558\&partnerID=40\&md5=e554cb57d885eec6bb72afa03e616523}, author = {Emanuele Frontoni and Adriano Mancini and Primo Zingaretti and Eva Savina Malinverni and Pesaresi, S.c and Biondi, E.c and Pandolfi, M.d and Marseglia, M.e and Mirco Sturari and Zabaglia, C.g} } @conference {Di Fulvio2014, title = {A stereovision system for dimensional measurementws in industrial robotics applications}, booktitle = {MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings}, year = {2014}, note = {cited By 0}, abstract = {The great variety of artificial vision applications, ranging from industrial automation and robotics to analysis and classification of documents, from bioinformatics and medicine to data mining, is due to the reinforcement of information sytems by the realization of algorithms that improved stability and efficiency of the results, also from the computational complexity point of view. The purpose of this work is to propose a stereoscopic vision system for dimensional measurements in an application of industrial robotics. The paper describes as a camera mounted on a six-axis robot manipulator cna calculate the real dimension of a target object. So, in the application the vision system is not composed by two physical cameras, bu tthe stero system is created by the mnovement of a single lcamera. The work provides a calibration procedure of the camera preliminary to the stage of actual measuremetn. Experimental results on a target with a simpole and well-defined shape have shown that the accuracy of the measurement is strongly influenced by a correct calibration.}, doi = {10.1109/MESA.2014.6935618}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911977431\&partnerID=40\&md5=53653d90297d7f3e5afba6aee6a53c3c}, author = {Di Fulvio, G. and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti} } @conference {Mancini2013, title = {Smart vision system for shelf analysis in intelligent retail environments}, booktitle = {Proceedings of the ASME Design Engineering Technical Conference}, volume = {4}, year = {2013}, note = {cited By 6}, abstract = {This paper aims to propose an innovative idea of an embedded intelligent, multimedia and interactive shop system where embedded vision systems can analyse human behaviours around shelves for interactivity and statistical purposes, mostly devoted to customer behaviour analysis, planogram maintenance and out of stock detection. We discuss the need for new services into the shop, involving consumers more directly and instigating them to increase their satisfaction and, as a consequence, their purchases. To do this, technology is very important and allows making interactions between costumers and products and between customers and the environment of the shop a rich source of marketing analysis. In particular we focus on concepts of monitoring and interactivity, introducing several emerging technologies in the field of retail environments. The main novelty of the paper is the general architecture of the system together with the introduction of a series of intelligent embedded systems, yet implemented and tested in a dataset recorded during the Euro Shop trade fair, in cooperation with Grottini group, a leading company in Retail Design industry based in Italy. Results are convincing and most of all the general architecture is affordable in this specific application. Copyright {\textcopyright} 2013 by ASME.}, doi = {10.1115/DETC2013-12317}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84899129851\&partnerID=40\&md5=9468fe9c8ec144cde0a360886f9aae83}, author = {Adriano Mancini and Emanuele Frontoni and Primo Zingaretti and Valerio Placidi} } @conference {Bucchi2012207, title = {Summarization of echo-Doppler videos for computer-aided diagnosis}, booktitle = {Proceedings of 2012 8th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2012}, year = {2012}, note = {cited By 0}, pages = {207-210}, abstract = {Summarization of echo-Doppler videos allows reducing diagnosis time, improving comparison between videos and making a more efficient storing of them. This paper aims at providing a solution to the static summarization of echo-Doppler videos. A static summary of a video is a collection of keyframes together with a description of them. The selection of keyframes discussed in this paper is based on the analysis of properties of red blobs resulting from Power Doppler technique. The properties of red blobs are extracted by a robust thresholding algorithm in the HSL colour model and via a connected-component labelling algorithm. Keyframes extracted from the echo-Doppler video satisfy specific properties for the red blobs. The work is still in progress and we are now collecting data for the construction of a decision support system to help doctors in their diagnoses. First results are encouraging and future works will bring to an interesting computer-aided system. {\textcopyright} 2012 IEEE.}, doi = {10.1109/MESA.2012.6275563}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84867455278\&partnerID=40\&md5=2f62875baeba4f7c9118f7ebd26e06af}, author = {Bucchi, M. and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti} } @conference {Benini2011406, title = {A simulation framework for coalition formation of Unmanned Aerial Vehicles}, booktitle = {2011 19th Mediterranean Conference on Control and Automation, MED 2011}, year = {2011}, note = {cited By 3}, pages = {406-411}, abstract = {Unmanned Aerial Vehicles (UAVs) and in particular quad-rotors are gaining an increasing interest owing to their flexibility and versatility. Today the challenge is to integrate these versatile platforms in a wide fleet in order to perform cooperative tasks as surveillance, search \& rescue, inspection. The coalition formation problem is a pre-condition for cooperative missions. This problem can be solved with different methodologies from biologically-inspired algorithms to parasocial consensus sampling ones. In this paper a new framework for simulation of unmanned vehicles in cooperative scenarios is first presented. Then a novel method that exploits the benefits of Model Predictive Control (MPC) for a coalition formation problem (leader-follower) is introduced. The obtained results evidence the good performance of MPC to solve the problem of coalition formation for unmanned aerial vehicles finding the optimal solution taking into account different kind of constraints. The developed framework allows also to easily change from simulated agent to real one. {\textcopyright} 2011 IEEE.}, doi = {10.1109/MED.2011.5983163}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80052355021\&partnerID=40\&md5=51acc4875190b250928b66e5b54b01a0}, author = {Benini, A. and Adriano Mancini and Emanuele Frontoni and Primo Zingaretti and Sauro Longhi} } @conference {Raspa2010, title = {Selection of Lithium cells for EV battery pack using self organizing maps}, booktitle = {EVS 2010 - Sustainable Mobility Revolution: 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition}, year = {2010}, note = {cited By 0}, abstract = {A challenging problem in energy storage systems for electric vehicles is the efficiency use of lithium multicell batteries. Because of production tolerances, unbalanced cells can be overstressed during usage leading to the reduction of the available capacity and premature failure of the battery pack. In order to reduce this problem the Universit{\`a} Politecnica delle Marche and FAAM Group S.p.A. developed a method for the selection and classification of homogenous cells to form uniform battery pack using Self Organizing Maps neural networks. Experimental data are collected from a set of LiFePo4 cells tested in FAAM laboratories. The selection considers both experimental data and identified characteristics: Discharge Voltage, Open Circuit Voltage, Total Capacity and identified parameters from Randle{\textquoteright}s equivalent circuit modelling. The State of Charge variability within each selected group of cells has been chosen as the clustering criterion to find the method which gives the best results in terms of homogeneity of the battery. Simulation results consider an experimental EV load profile and show a great reduction of the SOC variability and, consequently, in the balance of the battery pack for all the methods presented compared to random selection. Capacity and discharge voltage based methods give the best results over all.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84907415017\&partnerID=40\&md5=42dc9ff2c6cfe464e796818859e805ce}, author = {Raspa, P. and Frinconi, L. and Adriano Mancini and Cavalletti, M. and Sauro Longhi and L. Fulimeni and P. Bellesi and Isidori, R.} } @conference {Cesetti2009, title = {A single-camera feature-based vision system for helicopter autonomous landing}, booktitle = {2009 International Conference on Advanced Robotics, ICAR 2009}, year = {2009}, note = {cited By 4}, abstract = {In this paper a feature based single camera vision system for the safe landing of an Unmanned Aerial Vehicle (UAV) is proposed. The autonomous helicopter used for tests is required to navigate from an initial to a final position in a partially known environment, to locate a landing area and to land on it. The algorithm proposed for the detection of safe landing areas is based on the analysis of optical flow and of mutual geometric position of different kinds of features, observed from different points of view. Vision allows estimating the position and velocity of a set of features with respect to the helicopter while the onboard, hierarchical, behavior-based control system autonomously guides the helicopter. Results, obtained using real data and a real helicopter in a outdoor scenario, show the appropriateness of the vision-based approach. It does not require any artificial landmark (e.g., helipad), is able to estimate correctly and autonomously safe landing areas and is quite robust to occlusions.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70449334565\&partnerID=40\&md5=3373a2496d17d58330e7a887f552c6ba}, author = {Cesetti, A. and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti and Sauro Longhi} } @conference {Frontoni2009, title = {Stability maps for really exploitable automatic classification results}, booktitle = {2009 17th International Conference on Geoinformatics, Geoinformatics 2009}, year = {2009}, note = {cited By 1}, abstract = {The paper describes a new methodology for producing really exploitable results from automatic classification algorithms. The output of these algorithms is usually constituted by an image with each region assigned to one out of n classes. If the end user, on the basis of results obtained from a control set provided with a ground truth, simply knows that classification over the whole dataset can be considered correct at, for example, 85\% (s)he cannot know where correct and erroneously classified regions are really located in the whole dataset. Obviously, the result obtained can be exploited to effectively compute global indexes over the dataset, but it cannot be used as a thematic map. Thus, in addition to the assignment of a class to each region we propose an approach that provides a stability map, a binary image that separates regions (S) classified with high accuracy from those (U) whose classification result should be verified before being used. Two further benefits derive from the construction of the stability map: the control set can be used to set up a good threshold for binarizing the stability map (that is, a threshold by which all regions S are effectively correctly classified); unreliable regions U can help the end user to identify principal causes of (types of regions leading to) misclassification and corresponding (fuzzy, neural, rule based, etc.) approaches to overcome them.}, doi = {10.1109/GEOINFORMATICS.2009.5293443}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-74349085598\&partnerID=40\&md5=9cde6053a2e8199444209988fccd5e2c}, author = {Emanuele Frontoni and A. Bernardini and Eva Savina Malinverni and Adriano Mancini and Primo Zingaretti} } @conference {Kidiamboko2008866, title = {A scalable telemedicine architecture for under developed countries. A case study: Democratic Republic of Congo}, booktitle = {2008 Mediterranean Conference on Control and Automation - Conference Proceedings, MED{\textquoteright}08}, year = {2008}, note = {cited By 0}, pages = {866-871}, abstract = {Telemedicine, defined as the use of telecommunications technologies to provide medical information and services, is electronic transfer of medical data being able to include the sound and the images to practice remote medicine. In under developed countries, as the Democratic Republic of Congo, the capability to remote monitor patients that live in villages or small rural town, is a "Big step ahead" for the health system and citizens. In this paper we present a Scalable Telemedicine Architecture designated to be used in a real scenario as the Dem.Rep. of Congo. A prototype of low cost sensor, integrable into architecture, as a pulse oximeter called Ebloops (Experimental Blood Pressure Smart Sensor), is also presented. Pulse oximetry allows doctors to monitor vital parameters as oxygen levels in a human body, heart frequency and other ones. {\textcopyright} 2008 IEEE.}, doi = {10.1109/MED.2008.4602255}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-52949139070\&partnerID=40\&md5=855f2f2f7ebeaf934c0f0718b306fcf0}, author = {Kidiamboko, S. and Adriano Mancini and Sauro Longhi and Spalazzi, L.} } @conference {Mancini2007, title = {Safe flying for an UAV helicopter}, booktitle = {2007 Mediterranean Conference on Control and Automation, MED}, year = {2007}, note = {cited By 9}, abstract = {Today small autonomous helicopters offer a low budget platform for aerial applications such as surveillance (both military and civil), land management and earth sciences. In this paper we introduce a prototype of autonomous aerial vehicle, the Helibot helicopter, specifically designed for applications in cooperative networks. Fundamental steps in the design process of an UAV are shown. We also present work in progress in the field of failure detection and a novel idea to the problem of failure recovery using a terrain vision system. {\textcopyright}2007 IEEE.}, doi = {10.1109/MED.2007.4433946}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-50249099214\&partnerID=40\&md5=290b41c35e2f9a3766073505671d036a}, author = {Adriano Mancini and Caponetti, F. and Monteri{\`u}, A. and Emanuele Frontoni and Primo Zingaretti and Sauro Longhi} }