Prof. Weisong Wen Receives Best Presentation Award at the 2026 3rd Navigation Technology and Application Conference
Prof. Weisong Wen Receives Best Presentation Award at the 2026 3rd Navigation Technology and Application Conference
CHENGDU, China – July 10, 2026 – Professor Weisong WEN, Director of The Hong Kong Polytechnic University’s Trustworthy AI and Autonomous Systems Laboratory (TAS LAB), received a Best Presentation Award at the 2026 3rd Navigation Technology and Application Conference (NaviCON 2026), held from July 8 to 10 at the Chengdu Century City Convention Center. Organized by the Chinese Institute of Electronics (CIE) together with the Sichuan Provincial Committee of the CCPIT and the Sichuan International Chamber of Commerce, the conference was held under the theme “Multi-source Augmentation, Advancing Toward Intelligence” (多基增强、向智而行), bringing together academicians, researchers, and industry practitioners working on BeiDou-based positioning, navigation, and timing (PNT).
Prof. Weisong Wen (left) with Dr. Dongyan Wei of the Aerospace Information Research Institute, Chinese Academy of Sciences, at the conference venue in Chengdu.
Prof. Wen presented in the Signal Processing and Robust Positioning Forum (信号处理与鲁棒定位论坛) on the morning of July 10. His talk, “3D LiDAR-Aided Trustworthy GNSS Positioning for Complex Urban Environments” (面向城市复杂环境的三维激光雷达辅助GNSS可信定位技术), was selected for the conference’s Best Presentation Award, recognizing both the technical contribution of the work and the clarity with which it was communicated to the navigation community.
The presentation set out TAS LAB’s research roadmap on trustworthy positioning in urban canyons, where tall buildings block and reflect satellite signals and degrade conventional GNSS solutions. It covered the laboratory’s 3D LiDAR-aided (3DLA) GNSS framework, which progresses from non-line-of-sight (NLOS) detection and exclusion to Doppler-aided direction-of-arrival estimation and reflection-path-based NLOS correction, as well as its extension to real-time kinematic positioning and to tightly-coupled GNSS/LiDAR/inertial odometry for continuous, drift-free state estimation. The talk also addressed how these methods support integrity-aware positioning for safety-critical autonomous systems operating in dense cities.
The conference programme spanned three days and covered the full breadth of contemporary navigation research, including invited keynote reports at the main forum and seven parallel technical forums on multi-source augmentation and integrity monitoring, intelligent and emerging navigation, atmospheric propagation effects, anti-jamming and anti-spoofing navigation, signal processing and robust positioning, spatiotemporal reference establishment and maintenance, and a dedicated Young Scientists Forum. The exchange gave Prof. Wen the opportunity to discuss robust positioning in challenging environments with peers from leading mainland institutions and research institutes.
A talk on multi-information fusion navigation at the Signal Processing and Robust Positioning Forum, where Prof. Wen also presented.
A speaker concludes a talk on BeiDou-based positioning for the low-altitude economy at the same forum.
Prof. Wen’s participation and the Best Presentation Award reflect TAS LAB’s continuing contribution to trustworthy positioning and navigation research, and its commitment to academic exchange with the wider PNT community in the mainland and internationally.