30 September 2023

IEEE ITSC 2023 Workshop on GNSS Urban Positioning

IPNL organized the “Workshop on Intelligent Vehicle Urban Positioning” at the IEEE Intelligent Transportation Systems Conference (ITSC) 2023, held from September 24 to 28, 2023, in Bilbao, Spain. IEEE ITSC is one of the flagship annual conferences of the IEEE Intelligent Transportation Systems Society, bringing together researchers, engineers, and practitioners from around the world to present advances in intelligent transportation. The 2023 edition marked the 26th iteration of the conference, hosted in the Basque Country’s largest city.

The workshop, organized by Dr. Li-Ta Hsu and collaborators, addressed the critical challenge of achieving reliable vehicle positioning in dense urban environments. Topics covered during the workshop included GNSS multipath and non-line-of-sight (NLOS) signal mitigation, 3D mapping-aided positioning techniques, multi-sensor fusion integrating GNSS with LiDAR, IMU, and camera systems, as well as integrity monitoring for safety-critical autonomous driving applications. These themes reflect core research areas of IPNL that have been widely published in venues such as IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Intelligent Vehicles.

The workshop provided a platform for researchers across academia and industry to exchange ideas on the practical deployment of positioning solutions for intelligent vehicles operating in challenging urban canyons, where tall buildings cause signal blockage and reflection. Presentations and discussions highlighted the increasing role of artificial intelligence and machine learning in enhancing urban GNSS performance, as well as the growing importance of collaborative positioning among connected vehicles.

Participants explored emerging approaches such as factor graph optimization for sensor integration, deep learning-based signal classification, and the use of 3D city models for ray-tracing and shadow matching. The workshop underscored the need for cross-disciplinary collaboration to address the positioning demands of next-generation intelligent transportation systems.