Dr. Aboelmagd Noureldin
Professor at the Department of Electrical and Computer Engineering
Royal Military College of Canada
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 group at RMCC. 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 internet of things.
Dr. Noureldin holds B.Sc. degree in Electrical Engineering (1993) and M.Sc. degree in Engineering Physics (1997) both from Cairo University, Egypt. In addition, he holds 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 230 papers in journals and conference proceedings. Dr. Noureldin’s research work led to 10 patents and three technologies licensed to industry in the area of position, location and navigation systems.
Title and abstract
Position, Location and Navigation Services for Vehicular IoT Applications
Abstract: The last decade has witnessed an increasing trend in the use of positioning and navigation (POS/NAV) technologies in wide range of applications. The recent advances in information and communication technology necessitate the development of reliable POS/NAV systems. Wireless positioning technologies including Global Navigation Satellite Systems (GNSS) like GPS in open sky and wireless Local Area Networks (WLAN) indoors are presently widely used for POS/NAV applications. However, they still suffer from several shortcomings such as signal blockage, interference and multipath in some challenging environments. Integration of GNSS/WLANs with other sensors (like accelerometers, gyroscopes and magnetometers) and systems (like vision, radar and LiDAR) can bridge the accuracy gaps in such challenging environments.
This presentation discusses the development and demonstrates the performance of POS/NAV technologies for vehicular IoT applications monitoring the location of land vehicles in both urban and open sky highway environments. These technologies were designed to provide robust POS/NAV solutions utilizing multi-sensor fusion technologies. Two products will be discussed in this presentation. The first product is an integrated POS/NAV system monitoring the location of people in land vehicles integrating GPS receivers with other vehicle motions sensors (accelerometers, gyroscopes, and speedometers). The system is designed to provide seamless POS/NAV solution in all environments. The second product expands on the first one involving vision and radar systems for lane level positioning in all environment for future self-driving cars. The real – time positioning performance of both products will be demonstrated as part of this presentation.