In particular, robots can augment the capabilities of stationary sensor networks offering increased availability and awareness, as compared to a static system. Pattern recognition and machine learning play a key role for analysis and interpretation of the data acquired by robot/sensor systems, enabling observation, modeling and understanding of environmental targets, towards the development of intelligent systems for effective detection and monitoring of security, health, and resource management issues.
This full-day workshop intends to bring together researchers and practitioners with various backgrounds relevant to this multidisciplinary field of research, namely researchers from field robotics, sensors and sensor networks for security and surveillance, visual and signal-based monitoring systems, environmental data processing, classification, pattern recognition, computer vision, communications in monitoring systems, sea monitoring, agricultural and forest monitoring.
Papers are solicited from researchers and practitioners with interests in the development of technologies for surveillance and security applications, sensor networks, field robotics (air/water/ground), environmental data analysis, pattern recognition and computer vision, as well as from environmental scientists interested in the employment of robotics/sensor technologies, computer vision and pattern recognition methodologies to support their studies.
Prof. L. Alfredo Grieco
Information Centric Networking Architectures in Safety Enforcement Services: perspectives and challenges
Received the Dr. Eng. degree (with honors) in electronic engineering from “Politecnico di Bari,” Bari, Italy, in October 1999 and the Ph.D. degree in information engineering from “Università di Lecce,” Lecce, Italy, on December 2003. From January 2005 to October 2014, he held an Assistant Professor position at the “Dipartimento di Ingegneria Elettrica e dell’Informazione, Politecnico di Bari”. From March to June 2009, he has been a Visiting Researcher with INRIA (Planete Project, Sophia Antipolis, France), working on the topic of Internet measurements. From October to November 2013, he has been a Visiting Researcher with LAAS-CNRS (Toulouse, France) working on Information Centric Networking design of M2M systems. From November 2014, he holds an Associate Professor position in Telecommunications at Politecnico di Bari (DEI). He authored more than 100 scientific papers published in international journals and conference proceedings of great renown that gained nearly 4000 citations. His main research interests include congestion control in packet-switching networks, quality of service in wireless networks, Internet multimedia applications, Internet of Things, Information Centric Networking, and Internet measurements. He is the Founding Editor in Chief of the Internet Technology Letters journal (Wiley), serves as Editor in Chief of the Transactions on Emerging Telecommunications Technologies (Wiley) and as associate editor of the IEEE Transactions on Vehicular Technology (for which he has been awarded as top associate editor in 2012). He has been constantly involved as member of the Technical Program Comittees of many prestigious IEEE conferences. Within the Internet Engineering Task Force (Internet Research Task Force), he is contributing (as author of RFC 7554) new standard protocols for industrial IoT applications based on the IEEE 802.15.4e Time Slotted Channel Hopping (new standard architectures for tomorrow ICN-IoT systems). Starting from 2016 he is a Distinguished Lecturer for the IEEE VTS.
Prof. Shahriar Negahdaripour
Improving Automation of Subsea Robotics Tasks by Integration of Visual Cues in 2-D Optical and FL Sonar Images
Shahriar Negahdaripour received the S.B., S.M., and Ph.D. degrees in Mechanical Engineering from the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, in 1979, 1980, and 1987, respectively. His areas of research interest include the application of 2-D optical and forward- look sonar video imaging in the visual guidance of submersible robotics and seafloor 2-D and 3-D mapping. He has been the recipient of numerous research grants from NSF, the Office of Naval Research, NOAA, SERDP/DoD. Dr. Negahdaripour received the 1989 National Science Foundation (NSF) Engineering Initiation Award, the 2009 SERDP Project of the Year for Application of ROV- based video technology to complement coral reef resource mapping and monitoring, the 2003 Siemens Corp’s Best Paper Award at the IEEE AVSS03 Conference, and the 2007 Best Paper Award at the IEEE Workshop on Beyond Multi-view Geometry (BMG07); held in conjunction with IEEE CVPR07. His students has received the third and second best Student Poster Papers at the IEEE Oceans Conferences held in Genoa, Italy, in 2015, and in Monterey, CA in 2016. He has served as General Co-Chair of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1991) and the IEEE International Symposium on Computer Vision (1995), as well the technical committee member of several other conferences in computer vision.
Each submission will be double-blindly peer-reviewed by at least two experts. This requires the paper to be anonymous, please read the instructions included in the paper templates.
A paper submission implies that, if the paper is accepted, one of the authors, or a proxy, will present the paper at the workshop.
Accepted papers will be included in the IEEE AVSS conference proceedings (Scopus indexed).
Selected papers will be considered for publication on an indexed journal, such as Transactions on Emerging Telecommunications Technologies, or another relevant journal related with the workshop topics
April 28th, at 23:59:59 PST.
May 12th, 2017 EXTENDED
Please format the paper according to one of the following templates:
Detailed style and formatting instructions can be found in the templates. Papers must be written in English and submitted in PDF format, each submission must be between 4 and 5 A4 pages long + references.