Past Events in 2024

This page lists my news and events in 2024.

[08/2024] I am glad to share that I was selected as one of the world’s top 2% most-cited scientists in 2024. This acknowledgment, compiled and announced annually by researchers at Stanford University, USA, is determined by citations, h-index, co-authorship-adjusted hm-index, citations to papers in various authorship positions, and a composite indicator. Congratulations to our academic staff for their dedication to achieving research excellence! This recognition highlights their contributions and influence within their respective fields of expertise.
[09/2024] It was great to serve as the session chair of IEEE ITSC 2024 for the session “Unmanned Aerial Vehicles” in Edmonton, Canada. I also hosted the workshop on “Intelligent Vehicle Meets Urban: Safe And Certifiable Navigation And Control for Intelligent Vehicles In Complex Urban Scenarios” at ITSC 2024. It was also great to meet Dave, Hongzhou and others!
[08/2024] We are happy to share that our ITF seed fund proposal, titled Safety-certified Multi-source Fusion Positioning for Autonomous Vehicles in Complex Scenarios, was granted by the Hong Kong ITC.
[08/2024] I am glad to share that I was invited to serve as an associate editor of IEEE Transactions on Vehicular Technology for one year from Sept 2024.
[08/2024] We are happy to share that our paper, titled Factor Graph Optimization for GNSS/INS Integration: A Comparison with the Extended Kalman Filter, received the most citations in the year 2023! This work will be recognized during Friday’s Awards Luncheon at the upcoming ION GNSS+ 2024 conference in Baltimore, MD.
[07/2024] It is great to share that our paper, titled Factor Graph Optimization-based Smartphone IMU-only Indoor SLAM with Multi-hypothesis Turning Behavior Loop Closures, was accepted by the IEEE Transactions on Aerospace and Electronic Systems. Congratulations to Shiyu!
[07/2024] A very short video edited by RTHK is available on the RTHK Youtube Channel.
[07/2024] It was great to be invited to give a talk at Wuhan University, with fruitful discussions. Thank you very much to Prof. Li Xingxing for the invitation.
[07/2024] It was great to be interviewed by 头条日报 about the low-altitude economy (LAE) and our UAV research, such as UAVs for window cleaning and aerial 3D printing.
[06/2024] We are glad to share that our paper, titled Integrity-constrained Factor Graph Optimization for GNSS Positioning in Urban Canyons, was accepted by NAVIGATION. In this paper, we proposed an integrity-constrained factor graph optimization for GNSS positioning in urban canyons. In particular, the fault detection and exclusion (FDE) module is combined into the state estimation problem using switchable constraints before the protection level calculation. Congratulations to Xia Xiao on this great work!
[06/2024] We are happy to share that our project, titled LiDAR Aided GNSS Multipath/NLOS Modeling and Mitigation for Robotics Positioning in Urban Canyons, is funded by the Hong Kong RGC under the Early Career Scheme. Looking forward to the impact of this project! The details of this project can be found via this LINK.
[06/2024] It is great to share that our paper, titled Towards High-Definition Vector Map Construction Based on Multi-sensor Integration for Intelligent Vehicles: Systems and Error Quantification, was accepted by IET Intelligent Transport Systems. Congratulations to Runzhi on this great work!
[06/2024] It was great to be invited to give a seminar talk at Tsinghua University on the topic of 3D LiDAR Aided GNSS Positioning for Autonomous Systems in Urban Canyons. Thank you very much to Dr. Lv from Tsinghua University for the invitation. The details of the talk can be found via the Link.
[06/2024] It was great to be interviewed by Hong Kong RTHK on our research on UAV-enabled window cleaning and UAV-enabled aerial 3D printing technologies, together with our latest views on the low-altitude economy (LAE)!
[06/2024] We are glad to share that our paper, titled Tightly-coupled Visual/Inertial/Map Integration with Observability Analysis for Reliable Localization of Intelligent Vehicles, was accepted by the IEEE Transactions on Intelligent Vehicles. Congratulations to Zheng Xi on this great work!
[06/2024] It is great to share that our paper, titled Towards Persistent Spatial Awareness: A Review of Pedestrian Dead Reckoning-Centric Indoor Positioning Techniques, was accepted by the IEEE Transactions on Instrumentation & Measurement. Congratulations to Shiyu on this great work!
[05/2024] It was great to be interviewed by Hong Kong TVB on our research on UAV-enabled window cleaning and UAV-enabled aerial 3D printing technologies. Looking forward to the impact of these topics!
[04/2024] It was great to give a presentation at Hohai University at the invitation of Prof. Zhang Zhetao, titled “3D LiDAR aided GNSS Positioning in Urban Canyons for Autonomous Systems”.
[04/2024] It was great to give a presentation at Westwell. Thank you very much to PolyU RIO for the coordination and invitation.
[04/2024] Congratulations to Yihan on the acceptance of the paper Zhong, Y., Hu, R., Bai, X., Li, X., Hsu, L. T., & Wen, W. (2024). Enhancing GNSS Positioning Accuracy for Road Monitoring Systems: A Factor Graph Optimization Approach Aided by Geospatial Information. IEEE Transactions on Instrumentation and Measurement in IEEE Transactions on Instrumentation and Measurement.
[04/2024] It was great to attend the PolyU FCE sharing, where I was invited to give a short presentation on the Smart Traffic Fund project.
[04/2024] It was great to attend the 无锡江阴产学研交流, where I was invited to give a short presentation titled “具备安全保证的复杂环境下无人系统与应用” in Wuxi, Jiangsu. Thank you very much to PolyU RIO for the coordination and invitation.
[02/2024] We are happy to share that our proposal titled “Sustainable Window Cleaning for PolyU Jockey Club Innovation Tower with Unmanned Aerial Vehicles (UAV): An Application of Autonomous Systems Enabled Carbon Reduction” was granted by the PolyU Carbon Neutrality Funding Scheme 2023/24. This project aims to explore the potential of UAV systems for carbon neutrality, targeting high-altitude building cleaning.
[01/2024] We are glad to share that our proposal titled “Development of an Assisted Navigation and Collision Avoidance System using AI and Location-based Service” was granted by the Hong Kong Smart Traffic Fund. This project aims to develop a low-cost, high-precision co-location solution suitable for urban canyons. It includes developing an algorithm to solve satellite positioning offsets caused by building obstructions and reflections, as well as developing a collision avoidance warning application to issue early warnings and enable emergency interventions to reduce collision risks in blind spots.
[01/2024] It is great to start the year 2024!