Prof. Weisong Wen Presents at ITSNT 2026 on GNSS/LiDAR/Inertial Integrated Positioning
Prof. Weisong Wen Presents at ITSNT 2026 on GNSS/LiDAR/Inertial Integrated Positioning
On June 25, 2026, Professor Weisong Wen, Director of the Trustworthy AI and Autonomous Systems Laboratory (TAS LAB) at The Hong Kong Polytechnic University (PolyU), presented at the International Technical Symposium on Navigation and Timing (ITSNT 2026), held at the École Nationale de l’Aviation Civile (ENAC) in Toulouse, France.
As the opening speaker of Session 1 (chaired by Carl MILNER, ENAC), Prof. Wen presented on “Efficient and Outlier-Aware GNSS/LiDAR/inertial Integrated Positioning for Autonomous Systems in Urban Canyons” from 9:15 to 9:45 AM. His talk was featured alongside presentations from leading researchers at the European Space Agency (ESA), CNES, Stanford University, and other top institutions, highlighting TAS LAB’s growing international visibility in navigation and timing research.
Prof. Weisong Wen at ITSNT 2026, ENAC, Toulouse, France.
Prof. Wen’s presentation traced a coherent research roadmap on trustworthy positioning in urban canyons, spanning from GNSS NLOS handling to tightly-coupled multi-sensor fusion. The talk covered several key research threads from TAS LAB, including:
- 3D LiDAR Aided (3DLA) GNSS: A systematic progression from NLOS detection and exclusion to Doppler-aided direction-of-arrival estimation and reflection-path-based NLOS correction in dense urban environments.
- 3DLA GNSS-RTK: An efficient factor-graph optimization framework integrating virtual satellites for geometry improvement and drift-free point-cloud-map-aided NLOS exclusion.
- GLIO: A globally consistent, tightly-coupled GNSS/LiDAR/IMU odometry system for continuous and drift-free state estimation in urban areas (open-source code on GitHub).
- GLIO2: A GPU-parallelized LiDAR–Inertial–GNSS framework designed for robust, real-time global localization on edge devices.
- GNSS Integrity via Differentiable Protection Levels: A novel approach bridging robust robotics perception and aviation-grade integrity monitoring for safety-critical autonomous systems.
Prof. Wen presenting on factor graph optimization for GNSS/LiDAR/inertial integrated positioning at ITSNT 2026.
The talk also showcased real-world applications of TAS LAB’s positioning technologies, including autonomous facade-cleaning UAVs and guide-dog navigation systems for the visually impaired, demonstrating how robust multi-sensor fusion translates into practical solutions for safety-assured autonomous systems.
Prof. Wen’s participation at ITSNT 2026 reflects TAS LAB’s commitment to advancing trustworthy AI and autonomous systems through cutting-edge research in urban navigation, multi-sensor fusion, and safety-assured positioning, as well as fostering international academic exchange with the global PNT community.
ENAC campus, the venue of ITSNT 2026 in Toulouse, France.
More details about the symposium program can be found on the ITSNT 2026 website.