Paper Submission Deadline Extended to 19 June 2020
W3: Multi-Sensor Positioning and Navigation for Connected & Autonomous Vehicles
Organizer: Aboelmagd Noureldin, Royal Military College of Canada, Canada
Organizer: Amr El-Wakeel, Queen’s University/RMCC, Canada
Keynote Speaker: Dr. Naser El-Sheimy, Professor and Tier-I Canada Research Chair, University of Calgary, Canada
Keynote Speaker: Dr. Rakesh Kumar, Subsystems Lead Engineer, General Motors (GM), Canada
Abstract: Connected and autonomous vehicles (CAVs) promise to improve the safety and efficiency of our transportation system, reduce collisions, traffic congestion, and emissions, and improve mobility for a growing population. Increasing demand for CAVs is shaping the future of the automotive industry by connecting vehicles to one another and the surrounding infrastructure, transforming the invehicle experience and paving the way to autonomous driving. CAVs that are capable of sensing the environment and navigating without human input require robust high precision positioning and orientation information at all times in all environments. Standalone GNSS-based positioning and navigation systems suffer from satellite signal blockage, interference and multipath. Integration with motion sensors (speedometers, accelerometers and gyroscopes) can only enhance the performance for a limited period of time. Future land vehicles, drones, autonomous systems and portable devices will be equipped with vision cameras, radar, ultrasound and LiDAR sensors and systems that will be utilized for various reasons. The availability of these sensors and systems provide an attractive opportunity to further increase the positioning and navigation system accuracy and robustness in GNSS-challenging environment. The advent of new sensors, integration techniques, and navigation applications are active topics of research in multi-sensor systems. The purpose of this workshop is to invite submissions on the latest developments and advancement in multi-sensor systems for positioning and navigation. The focus of the contributions will be on discussing the research results about scientific advances in sensors, innovative data processing and machine intelligence techniques, multi-sensor fusion methods, and potential applications.
For additional information, please visit: https://cavvtc.weebly.com/
Bio: Dr. Aboelmagd Noureldin is a Professor at the Department of Electrical and Computer Engineering, Royal Military College of Canada (RMCC) with Cross-Appointment at both the School of Computing and the Department of Electrical and Computer Engineering, Queen’s University. He is also the founder and the director of the Navigation and Instrumentation research lab at RMCC/Queen’s University. His research is related to global navigation satellite systems including GPS, wireless location and navigation, indoor positioning and multi-sensor fusion targeting applications related to autonomous systems, intelligent transportation, road information services, crowd management, and the internet of things. Dr. Noureldin holds a B.Sc. degree in Electrical Engineering (1993) and M.Sc. degree in Engineering Physics (1997) both from Cairo University, Egypt. In addition, he holds a Ph.D. degree in Electrical and Computer Engineering (2002) from The University of Calgary, Alberta, Canada. Dr. Noureldin is a Senior Member of IEEE. He has published more than 250 papers in journals, magazines and conference proceedings. Dr. Noureldin’s research work led to 13 patents and three technologies licensed to the industry in the area of position, location and navigation systems. Dr. Noureldin has served in several TPC for international conferences. Recently, he served as the TPC chair of ICCSAP-2019 and as the chair of ICCSAP-2020.
Bio: Dr. Amr El-Wakeel is a research scientist with the Navigation and Instrumentation research lab (NavINST) at RMCC/Queen’s University, Canada. He received his B.Sc. (Hons.) and M.Sc. in Elect. & Comm. Eng. from the Arab Academy for Science & Technology (AAST), Cairo, Egypt. He holds a Ph.D. in Electrical and Computer Engineering from Queen’s University, Ontario, Canada. Dr. El-Wakeel’s research interests span signal processing, sensor fusion, and machine intelligence to the applications of intelligent transportation systems, connected and autonomous vehicles, and wireless positioning. Dr. El-Wakeel was the recipient of a best paper award, competition prize and research excellence awards. He delivered several invited talks in conferences, universities and events related to the connected and autonomous vehicles. Dr. Amr is a member of IEEE VTS and ComSoc. He also serves as a technical committee co-chair and TPC member in flagship conferences and a reviewer for IEEE, Elsevier, Springer, OSA and Wiley journals. Dr. El-Wakeel serves the IEEE VTS as a TPC member in tracks related to positioning, navigation, sensing, intelligent transportation systems, and connected and autonomous vehicles in VTC Fall 2017, VTC Spring 2018, VTC Fall 2018, and VTC Fall 2020. He is also a member of the technical committee on Autonomous Vehicles, IEEE VTS.
To view the call for papers, please visit: https://cavvtc.weebly.com/uploads/1/3/1/0/131039251/vtc2020_pos_and_nav_workshop_cfp.pdf
To submit a paper to the workshop, please visit: https://vtc2020-fall-rr.trackchair.com/track/1906