@conference {Paolanti2016,
	title = {Accurate modeling of the microwave treatment in reverberating chamber. sanitation of agro food material},
	booktitle = {Mediterranean Microwave Symposium},
	volume = {2016-January},
	year = {2016},
	note = {cited By 0; Conference of 15th IEEE Mediterranean Microwave Symposium, MMS 2015 ; Conference Date: 30 November 2015 Through 2 December 2015; Conference Code:119001},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	abstract = {The microwave heating is useful for drying of foodstuff, disinfestation of works of art, phitosanitary treatment and disinfection of packaging according to current international guidelines. The computer simulation allows predicting and monitoring the heating process. The microwave treatment can nevertheless present some problems such as the presence of highly heated areas (hot spots) or areas with poor radiation due to particular shapes. Simulation of complex systems has evolved into a research discovery tool: such models and simulations, drawing upon the dramatic scale up of computational power and associated architectures and algorithmic innovation, can address complex systems with many degrees of freedom and with multiple length and time scales of interest. Using specific programs, the distribution of heating power in objects to be treated, even if complex shapes, can be predicted so as to be able to define the possibility, the time necessary to the processing, the power to be transmitted in the chamber and any repair or protection to cover the most sensitive areas. It can also predict the behavior of irradiation in the presence of other entities such as nails or pests. In order to perform simulation, important data are the geometry of the object or objects in the case of multiple loading and their dielectric characteristics. As a result we obtain the distribution of heating power. {\textcopyright} 2015 IEEE.},
	keywords = {Computational power, Degrees of freedom (mechanics), Dielectric characteristics, Electromagnetic heating, Electromagnetics, Heating, Microwave heating, Microwave ovens, Microwave treatment, Microwaves, Rail-to-rail input, Reverberating chamber, Shape, Temperature measurement},
	isbn = {9781467376020},
	issn = {21579822},
	doi = {10.1109/MMS.2015.7375447},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962766321\&partnerID=40\&md5=baeea86f228c70b1b41ce30e1d94e5a3},
	author = {Marina Paolanti and Bacchiani, R.a and Emanuele Frontoni and Adriano Mancini and De Leo, R.a and Primo Zingaretti and Bisceglia, B.b}
}
@conference {frontoni2016analysing,
	title = {Analysing human movements at mass events: A novel mobile-based management system based on active beacons and AVM},
	booktitle = {Control and Automation (MED), 2016 24th Mediterranean Conference on},
	year = {2016},
	pages = {605{\textendash}610},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Emanuele Frontoni and Adriano Mancini and Roberto Pierdicca and Mirco Sturari and Primo Zingaretti}
}
@conference {paolanti2015automatic,
	title = {Automatic Classification for Anti Mixup Events in Advanced Manufacturing System},
	booktitle = {ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
	year = {2015},
	pages = {V009T07A061{\textendash}V009T07A061},
	publisher = {American Society of Mechanical Engineers},
	organization = {American Society of Mechanical Engineers},
	author = {Marina Paolanti and Emanuele Frontoni and Adriano Mancini and Roberto Pierdicca and Primo Zingaretti}
}
@conference {Cocchioni2014418,
	title = {Autonomous navigation, landing and recharge of a quadrotor using artificial vision},
	booktitle = {2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings},
	year = {2014},
	note = {cited By 1},
	pages = {418-429},
	abstract = {In this paper a solution to UAV reduced endurance and autonomous flight is proposed. With a complete on-board solution, based on artificial vision, the developed system is able to autonomously take off, navigate and land, recharging its battery by using a dedicated landing platform, both in indoor and outdoor scenarios. The landing platform includes a passive centering system to correct the landing error of the UAV, with a novel design wich reduce cost and increase the safety (thanks to small and isolated electrical contacts) without invasive hardware changes on the drone. The developed vision algorithm provides a fast and accurate measurement of UAV position with respect to the landing platform using a visual target, but at the same time it is able to automatically switch to an estimation of position that is independent from the visual target. This aspect is used during navigation or when the tracking of the target fails, ensuring a continuous position measurement feed to the controllers. The developed control system manages all the different phases of a mission (motor turning on/off, take off, navigation, landing,...) with low control error, ensuring a landing over the landing platform with an error that is lower than 5cm for both x and y axis. The developed software in ROS environment is modular and provides input/output interfaces to receive command, or send data. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/ICUAS.2014.6842282},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84904565097\&partnerID=40\&md5=04076148a6e9b80c9da87ee06d339603},
	author = {Francesco Cocchioni and Adriano Mancini and Sauro Longhi}
}
@conference {Mancini2012281,
	title = {Automatic road object extraction from Mobile Mapping Systems},
	booktitle = {Proceedings of 2012 8th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2012},
	year = {2012},
	note = {cited By 3},
	pages = {281-286},
	abstract = {Mobile Mapping Systems (MMSs) often represent the best choice to provide an accurate 3D modeling of the environment, especially in urban streets where the aerial/satellite surveys do not provide accurate data. MMSs are equipped with many kinds of sensors, and, in particular, laser scanners that allow 2D/3D environment modeling from very dense point clouds. Usually an operator manually explores the point cloud to discover and mark a particular feature of interest (e.g., road line, cross-walk). Obviously this procedure is tedious and expensive. One of the greater challenges is to automatically extract objects/features from co-registered data coming from LiDAR, optical and positioning sensors. This paper presents an automatic feature/object approach to extract and then to georeference with high accuracy/precision horizontal road signs, mainly lanes and crosswalks. The proposed approach exploits image processing techniques and methods for the 3D to 2D re-projection of data. The results obtained demonstrate that is possible to achieve accuracy and precision in the range of one centimeter. {\textcopyright} 2012 IEEE.},
	doi = {10.1109/MESA.2012.6275575},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84867444429\&partnerID=40\&md5=bbdfcd587f93e0fdf60be30447684e89},
	author = {Adriano Mancini and Emanuele Frontoni and Primo Zingaretti}
}
@conference {Cesetti2010125,
	title = {Autonomous safe landing of a vision guided helicopter},
	booktitle = {Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010},
	year = {2010},
	note = {cited By 2},
	pages = {125-130},
	abstract = {In this paper a vision-based system for safe autonomous landing of a helicopter-based Unmanned Aerial Vehicle (UAV) is presented. The remote user selects target areas from high resolution aerial or satellite images. These areas are tracked by a feature-based image matching algorithm that identifies natural landmarks and gives feedbacks for control purposes. {\textcopyright} 2010 IEEE.},
	doi = {10.1109/MESA.2010.5552081},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77957363095\&partnerID=40\&md5=105d5126c8256e58ab2a67b66bd8c271},
	author = {Cesetti, A. and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti}
}
@conference {Zingaretti2008227,
	title = {Autonomous helicopter for surveillance and security},
	booktitle = {2007 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC2007},
	volume = {4},
	year = {2008},
	note = {cited By 0},
	pages = {227-234},
	abstract = {Unmanned Aerial Vehicles represent today an advanced and complex robotics platform for novel tasks. For example, UAVs can be used in applications for traffic monitoring and surveillance, emergency services assistance, photogrammetry and surveying. Generally, an UAV must be fully autonomous; autonomy is accomplished by a complex interconnection of systems related to a wide range of topics, e.g., flight low level control, navigation and task-based planning, elaboration of sensor signals, software architecture for reactive behaviours, communication. Today the challenge is the ability to insert UAVs in a cooperative network based on autonomous agents as UAV, UGV (Unmanned Ground Vehicle) to accomplish a specific task a priori defined. In this paper we introduce a prototype of autonomous aerial vehicle, the Helibot helicopter, specifically designed for applications as surveillance and security. Copyright {\textcopyright} 2007 by ASME.},
	doi = {10.1115/DETC2007-35427},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44849089281\&partnerID=40\&md5=722c3bbead7b4107ed7b860dd3c492b3},
	author = {Primo Zingaretti and Adriano Mancini and Emanuele Frontoni and Monteri{\`u}, A. and Sauro Longhi}
}
