Dr. Weisong Wen

Dr. Weisong Wen

Assistant Professor at Hong Kong Polytechnic University. Director of TAS Lab. Embodied AI for autonomous systems: drones, self-driving vehicles, and ground robots.

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About Me

Dr. Weisong Wen - Assistant Professor at PolyU, Director of TAS Lab, research in trustworthy AI, navigation, and autonomous systems

Posts

notes

publications

research

talks

Dr. Wen Is Invited to Talk at Lanzhou University on 15th December

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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.

Qijun QIN Won Best URIS Research Project Award 2024

Published:

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.

Our PhD Student Peiwen Yang Gave a Speech at HKPC on 10th Jan 2025

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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.

Dr. WANG Yingying Gave a Talk at Shanghai Jiaotong University

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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.

Introduction to GNSS Single Point Positioning (SPP)

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GNSS Single Point Positioning (SPP) is the most fundamental positioning technique in Global Navigation Satellite Systems. It serves as the baseline for all advanced GNSS positioning methods and is widely used in smartphones, vehicles, and drones. This post introduces the basic principles, observation model, and challenges of GNSS SPP.

Dr. BAI Shiyu Delivered a Talk at the Satellite Navigation 2025 International Workshop for Young Scientists at Beihang University

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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.

Information Exchange Session with CEE Department and Zhejiang Handover and Maintenance Engineering Branch Company

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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.

Our paper is accepted by IEEE Transactions on Instrumentation & Measurement

Published:

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.

Hong Kong Polytechnic University Visits Hong Kong Police FDC to Enhance Collaboration on Drone Applications

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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.

Nano Coating Tech and Drone Solutions Asia Visit PolyU TAS Lab

Published:

Hong Kong, 3 July 2025 – Nano Coating Tech and DRONE SOLUTIONS ASIA visited the TAS Lab at The Hong Kong Polytechnic University (PolyU) to explore collaboration opportunities and facilitate technical exchanges in the fields of UAV technology and nano-tech application.

Upon arrival, the visiting team engaged in in-depth discussions with TAS Lab members. The discussions covered a range of topics, including drone cleaning applications and the potential role of nano-coating technology in building maintenance. The visit also featured outdoor testing of nano-material performance, showcasing its capabilities in real-world conditions.

The visit concluded with a guided tour of the TAS Lab facilities, including the UAV flight zone, navigation testing platform, and autonomous systems testing platform. This exchange laid a solid foundation for the upcoming collaboration between PolyU, Nano Coating Tech, and DRONE SOLUTIONS ASIA.

Our paper is accepted by IEEE IROS 2025

Published:

It is great to share that our paper (Roadside GNSS Aided Multi-Sensor Integrated System for Vehicle Positioning in Urban Areas”, by Feng Huang, Yihan Zhong*, Hang Chen, Dongzhe Su, Jin Wu, Weisong Wen and Li-Ta Hsu) is accepted by the IEEE IROS 2025. The data will be available at Github.

Our paper is accepted by IEEE Transactions on Vehicular Technology

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It is great to share that our paper (“Tightly Joined Positioning and Control Model for Unmanned Aerial Vehicles Based on Factor Graph Optimization”, by Peiwen Yang, Weisong Wen, Shiyu Bai, and Li-Ta Hsu) is accepted by the IEEE Transactions on Vehicular Technology. Congratulations to Peiwen., etc.

Lab Members Hold Special Session ‘Urban Navigation and Sensing’ at GSCS & ICUI 2025

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On August 7th, 2025, with the help of Prof. Wen, PhD student Ruijie Xu and Dr. Feng Huang successfully organized the special session “Urban Navigation and Sensing for Next-Generation Smart Cities” as part of the Global Smart Cities Summit cum The 4th International Conference on Urban Informatics (GSCS & ICUI 2025). This special session was dedicated to exploring cutting-edge advances in urban navigation and sensing technologies, aiming to address the challenges of accurate localization, seamless mobility, and intelligent sensing in increasingly complex urban environments.

Meituan Marstalk Hosts at PolyU: Industry Leaders Discuss Future of Robotics and Intelligent Systems

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Hong Kong, September 14th, 2025 – The Hong Kong Polytechnic University (PolyU) successfully hosted the Meituan Marstalk today, bringing together leading experts in robotics, automation, and artificial intelligence to explore technological breakthroughs in intelligent systems for dynamic environments. The ceremony featured a keynote address by representatives from HKISA, who emphasized the critical role of the new index in promoting trust and scalability in commercial and civic drone applications. The index will provide a measurable framework to evaluate drone performance, maintenance standards, and operational safety—key factors for integration into urban airspace.

Our paper on 3D LiDAR Aided GNSS NLOS Correction is accepted by IEEE T-ITS

Published:

It is great to share that our paper (“3D LiDAR Aided GNSS NLOS Correction by Direction-of-Arrival Estimation Using Doppler Measurements in Urban Canyons ”, by Xikun Liu, Weisong Wen, Liyuan Zhang, and Li-Ta Hsu) is accepted by the IEEE Transactions on Intelligent Transportation Systems. Congratulations to Xikun and our collegues.

PolyU AAE Conducts Drone Test Flight in Sandbox Regulatory Project

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Hong Kong, September 29th, 2025 – The Aeronautics and Aviation Engineering (AAE) department at The Hong Kong Polytechnic University (PolyU) today conducted a drone performance test flight at the Shaw Sports Complex on campus, as part of the sandbox regulatory project for the low altitude economy. This successful event marks a new phase in PolyU AAE’s initiative to advance regulatory frameworks and operational standards for unmanned aerial vehicles (UAVs) in urban environments.

Our paper on Safe Flight Interaction is accepted by IEEE T-ITS

Published:

It is great to share that our paper (“Learning Safe, Optimal, and Real-Time Flight Interaction With Deep Confidence-Enhanced Reachability Guarantee”, by Yuanyuan Zhang, Yingying Wang, Penggao Yan, and Weisong Wen) is accepted by the IEEE Transactions on Intelligent Transportation Systems. Congratulations to Yuanyuan and our collegues.

Dr. HUANG Feng and PhD student ZHONG Yihan Present Work at IEEE IROS 2025

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Our lab member Dr. HUANG Feng and PhD student ZHONG Yihan are presenting their work at IEEE IROS 2025. After 19 years, IROS returns to China, coinciding with a pivotal moment in the rapid advancement of AI and robotics—making IROS 2025 an outstanding venue for discussion and networking.. The data of our work is available at Github.

Nanjing Jiangning Economic Development Zone Officials Visit TAS Lab at PolyU

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Officials from the Nanjing Jiangning Economic Development Zone visited The Hong Kong Polytechnic University, where they were introduced to the research activities of the Trustworthy AI and Autonomous Systems Laboratory. The delegation was given an overview of several innovative projects, including cleaning drones, tunnel inspection drones, humanoid robots, and end-to-end autonomous driving systems.

Harbin Engineering University Vice President YU Zhiwen Visits PolyU’s TAS Lab to Strengthen Research Ties

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HONG KONG – November 10, 2025 – The TAS Lab at The Hong Kong Polytechnic University (PolyU) today welcomed a distinguished delegation from Harbin Engineering University (HEU), led by Vice President YU Zhiwen. The visit was organized to demonstrate the lab’s latest advancements in autonomous systems and to deepen the research partnership between the two institutions.

Quadruped Robot Steals Spotlight at 28th Beijing-Hong Kong Economic Cooperation Symposium

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HONG KONG – November 12, 2025 – The 28th Beijing-Hong Kong Economic Cooperation Symposium witnessed a showcase of technological innovation as Dr. Runqiu Yang and Mr. Zhongqi Wang from our research laboratory presented our work on quadruped robot. The robot is designed for inspection, logistics, and search-and-rescue operations, capable of carrying heavy loads for extended periods. The demonstration attracted substantial attention from government officials, industry leaders, and academic professionals.

4th IV Meets Urban Workshop a Success at ITSC 2025

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GOLD COAST, AUSTRALIA – November 18, 2025 – The 4th Workshop on Intelligent Vehicle Meets Urban: Safe And Certifiable Navigation And Control was successfully held at the Star Grand, Broadbeach, Gold Coast, Australia, in conjunction with the ITSC 2025 conference. The event convened leading experts and researchers to address the critical challenges of ensuring safe, robust, and certifiable autonomous navigation in complex urban environments.

TAS Team Showcases Innovative Robotics at PolyU Technology Transfer Conference

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JINJIANG, China – December 14, 2025 – The TAS Research Team from The Hong Kong Polytechnic University (PolyU) made a strong impression at the inaugural “Hong Kong Polytechnic University Technology Transfer Conference & Inaugural Annual Exchange Meeting of the Institute for Technological Innovation (2025).” Held in Jinjiang City, Fujian Province, the event drew over 3,500 participants from government, academia, and industry, focusing on advancing industry-academia-research integration and fostering an innovation ecosystem.

Our paper is accepted by IEEE Internet of Things Journal

Published:

It is great to share that our paper (“RTT-LIO: A Wi-Fi RTT-aided LiDAR-Inertial Odometry via Tightly-Coupled Factor Graph Optimization in Complex Scenes”, by Ruijie Xu, Xikun Liu, Xin Wang, Weisong Wen, and Yulong Huang) is accepted by the IEEE Internet of Things Journal. Congratulations to Ruijie and etc.!

TAS Team Visits LINXAI Company to Discuss Quadruped Robot Collaboration Projects

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SHENZHEN, China – January 16, 2026 – The TAS Team embarked on a productive visit to LINXAI Company, a leading innovator in robotics technology. The purpose of the visit was to engage in detailed discussions on ongoing collaboration projects centered around the quadruped robot, while also touring the company’s advanced laboratory facilities. This exchange highlights PolyU’s dedication to fostering industry-academia partnerships and advancing practical applications in robotics.

PolyU and Simple AI Launch Strategic Collaboration

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HONG KONG, China – January 19, 2026 – The Hong Kong Polytechnic University and Beijing Simple AI Technology Co., Ltd. (Simple AI) officially launched their strategic partnership through a Memorandum of Understanding (MOU) signing ceremony. Held at PolyU’s Chiang Chen Studio Theatre (AG204), the event brought together key representatives from both institutions to exchange the agreement and discuss future collaborations in embodied intelligent robotics. This partnership underscores PolyU’s commitment to advancing industry-academia synergies and driving innovation in AI-driven technologies for real-world applications.

TAS Team Meets with SF Express (Hong Kong) and Rino AI to Discuss Smart Logistics and Autonomous Campus Delivery Collaboration

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HONG KONG, China – January 29, 2026 – The Hong Kong Polytechnic University’s Trustworthy AI and Autonomous Systems Laboratory (TAS LAB) held a strategic cooperation meeting with SF Express Hong Kong and Rino AI to explore collaborative opportunities in smart logistics and autonomous campus delivery vehicles . This meeting underscores PolyU’s commitment to advancing industry-academia partnerships and developing practical solutions for next-generation logistics systems that address real-world challenges in urban delivery and campus mobility.

Our paper is accepted by IEEE ICRA 2026

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It is great to share that our paper (“Integrated Planning and Control on Manifolds: Factor Graph Representation and Toolkit” by Peiwen Yang, Weisong Wen, Runqiu Yang, Yuanyuan Zhang, Jiahao Hu, Yingming Chen, Naigui Xiao and Jiaqi Zhao) is accepted by the 2026 IEEE International Conference on Robotics & Automation. Congratulations to Peiwen and etc.!

Our workshop is accepted by IEEE ICRA 2026

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We’re organizing the 1st Workshop on Robot Meets GNSS and Ranging for Seamless Autonomy, happening on Friday, June 5, 2026 in Vienna. If you work on reliable autonomy in the real world—especially where GNSS/UWB/ranging gets messy—this workshop is for you. You can find more details from the workshop page

teaching

Freshman Seminar (Sept 2021)-Directed by Dr. Li-Ta Hsu

Undergraduate course, The Hong Kong Polytechnic University, Department of Aeronautical and Aviation Engineering, 2021

This is undergraduate level class delivering the content of introducing the engineering examples to the year-1 students. Specifically, the path planning with A-start algorithm is introduced with the code based on Python. The studnets are also introduced with the Github tools for the collaboration of the coding.

Guidance and Navigation-AAE4203 (Jan 2022)

Undergraduate course, The Hong Kong Polytechnic University, Department of Aeronautical and Aviation Engineering, 2022

This is undergraduate level class delivering the content of GNSS positioning including the single point positioning (SPP), differential GNSS and real-time kinematic positioning. Also, the visual positioning is also introduced. The state estimation methods using Kalman filtering, factor graph optimization are also introduced. This lecture also include two tutorials and massive hand-writing examples to demonstrate the navigation technique for the autonomous systems. The Subject Description Form can can be found in AAE website.

Guidance and Navigation-AAE4203 (Sept 2022)

Undergraduate course, The Hong Kong Polytechnic University, Department of Aeronautical and Aviation Engineering, 2022

This is undergraduate level class delivering the content of GNSS positioning including the single point positioning (SPP), differential GNSS and real-time kinematic positioning. Also, the visual positioning is also introduced. The state estimation methods using Kalman filtering, factor graph optimization are also introduced. The Subject Description Form can can be found in AAE website.