Events & News
2025
Prof. Weisong Wen Participates in HKGCC Panel on Low-Altitude Economy
TAS Lab Staff Visit LinxAI Intelligent Technology Co., Ltd
TAS Lab Presents Wearable Navigation Concept for Visually Impaired Individuals at Nanchang Health Expo
TAS Lab Holds Information Exchange Session with ATAL Company to Foster Industry-Academia Collaboration
THong Kong Polytechnic University Visits Hong Kong Police FDC to Enhance Collaboration on Drone Applications Hong Kong, May 27th, 2025 – A delegation from Hong Kong Polytechnic University (PolyU) TASLab recently visited the Hong Kong Police Force’s Force Drone Cadre (FDC) to discuss advancements in drone technology and explore ways to support law enforcement operations. The meeting highlighted the growing importance of unmanned aerial vehicles (UAVs) in public safety and emergency response.
Ph.D. Candidate Xikun Liu Visits the University of California, Los Angeles for Collaborative Research on Intelligent Planning for Disaster-Relief Robotics
Visiting LinxAI Intelligent Technology Co., Ltd: A Glimpse into the Future of Quadruped Robotics
It is great to share that our paper (Continuous Error Map Aided Adaptive Multi-Sensor Integration for Connected Autonomous Vehicles in Urban Scenarios”, by Huang, Feng; Wen, Weisong; Zhang, Guohao; Su, Dongzhe; Huang, Yulong) is accepted by the IEEE Transactions on Instrumentation & Measurement. Congratulations to HUANG Feng., etc. The open-source code is available at Github.
Low-altitude Economy (LAE) Exhibition 2025 Opening Ceremony at Cyberport HK
Visit to FengYi (Phoenix Wings)
Ph.D. Student XU Ruijie Presents Novel Wi-Fi RTT/LiDAR/IMU Integration Framework at IEEE/ION PLANS 2025
It is great to share that our paper (pyrtklib: An open-source package for tightly coupled deep learning and GNSS integration for positioning in urban canyons”, by Runzhi Hu, Penghui Xu, Yihan Zhong, Weisong Wen) is accepted by the IEEE Transactions on Intelligent Transportation Systems. Congratulations to Runzhi., etc. The open-source code is available at Github.
It is great to share that our paper (Safety-quantifiable Line Feature-based Monocular Visual Localization with 3D Prior Map”, by Zheng, Xi; Wen, Weisong; Hsu, Li-Ta) is accepted by the IEEE Transactions on Intelligent Transportation Systems. Congratulations to Xi Zheng., etc. The open-source code is available at Github.
Hong Kong Police Force UAV Team Visits PolyU TAS Lab to Foster Collaboration in UAV Technology and Safety
Cross-Boundary Knowledge Sharing on UAV-Enabled Inspection Technologies On April 28, 2025, The Trustworthy Autonomous Systems Lab (TAS Lab) at The Hong Kong Polytechnic University hosted an information exchange session with the Zhejiang Handover and Maintenance Engineering Branch Company and PolyU’s Department of Civil and Environmental Engineering (CEE), fostering dialogue on integrating autonomous UAV systems into next-generation infrastructure maintenance.
TASLab’s Medical Delivery Drone Project Showcased at HK SciFest, Featured by RTHK Pioneering UAV Technology for Emergency Healthcare Logistics
TASLab and FlightPro Exchange Meeting at PolyU in Advancing UAV Innovations for NextGen LAE Solution
Presenting Smart Building Cleaning UAV System at InnoEX 2025 to Jiangsu Enterprises
The First “AI4X“ International Academic Industry Conference - AI for Intelligent Systems
Ph.D. Student Runzhi Begins Research Attachment at University of New South Wales Under Leading GNSS Expert
Successfully Application on Low-altitude Sandbox Project
Visit to Jiusi’s Innovative Cleaning Drone Demonstration and Knowledge Exchange Session Academic-Industry Collaboration Explores Future of Smart City Maintenance
We are pleased to share that on March 27, 2025, our postdoctoral fellow, Dr. BAI Shiyu, representing the TAS Lab, delivered a talk at the Satellite Navigation 2025 – International Workshop for Young Scientists, held at Beihang University. He presented on Indoor Semantic Mapping and Localization Method Based On Inertial-Only Perception, highlighting TAS Lab’s research on academic indoor pedestrian localization.
Window Cleaning UAV Indoor Demonstration In the front of Secretary for Transport & Logistics
Hong Kong Polytechnic University and LinXAI Robotics establish joint lab for space robotics and embodied AI
Dr. Wen is invited to join R&D and collaboration meetings with ASTRI in Hefei.
Discussion over the LAE development in Hong Kong with CTO of the SFexpress Hong Kong, Kenny Lau at Hong Kong Polytechnic University - TASLab on Mar 14th,2025
Chairman of the PolyU Council Membership, Ir Professor H.C. MAN and Vice President in Research and Innovation visit the Hong Kong Polytechnic University - Wuxi Technology and Innovation Research Institute on Feb 23, 2025
Dr. Wen presented TAS Lab Research on LAE for HKGCC members on Feb 18, 2025
Dr. Wen is invited to the panel discussion at the ASTRI Tech Applied Summit
We are pleased to share that on January 18, 2025, our postdoc fellow WANG, Yingying, representing the TAS LAB, gave a talk at Shanghai Jiaotong University invited by the Institute for Sensing and Navigation. She shared non-intrusive pedestrian indoor localization research from the perspective of IMU and WiFi, especially the academic indoor pedestrian localization research in TAS LAB.
We are pleased to share with you that on January 10, 2025, our doctoral student Yang Peiwen, representing the TAS LAB of The Hong Kong Polytechnic University, gave a speech at the Hong Kong Productivity Council (香港生产力局）on the following topics: Technology Leadership: Application Prospects of Low Altitude Economy in Hong Kong by 2025. He shared the development status of the low-altitude economy, industry opportunities, and especially the current academic research in TAS LAB.
PolyU-ASTRI Showcases Innovations in Low-Altitude Economy Technologies in Shenzhen
2024
Waste Reduction for Rural Territories – Story in Sha Tau Kok
Construction of Space Stations – Introduction to Space Transportation Systems
The first event of University of Macau - Hunan University – The Hong Kong Polytechnic University Academic Salon on Autonomous Systems
A High-definition Map generation method based on the integration of semantic segmentation and SLAM algorithms was developed, providing new possibilities for large-scale data resources in intelligent transportation and autonomous driving.
Dr. Wen’s lecture at Lanzhou University, titled “3D LiDAR Aided (3DLA) Urban GNSS Positioning for Autonomous Systems in Urban Canyons”, focuses on the challenges and advancements in urban positioning for autonomous driving vehicles.
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