Summary for Year 2019
Research Output:
Submitted papers:
Accepted Journal papers:
Wen Weisong., Bai Xiwei., Kan Y.C., Hsu, L.T.* Tightly Coupled GNSS/INS Integration Via Factor Graph and Aided by Fish-eye Camera, IEEE Transactions on Vehicular Technology, 2019, (SCI. 2019 IF. 5.339, Ranking 7.7%) [Accepted]
Submitted Journal papers:
Wen Weisong., Tim Pfeifer., Xiwei Bai., Hsu, L.T.* CSomparison of Extended Kalman Filter and Factor Graph Optimization for GNSS/INS Integrated Navigation System, IEEE Sensors, 2019, (SCI. 2019 IF. 3.076) [Submitted]
Revised and accepted Journal papers:
Weisong Wen, Guohao Zhang and Li-Ta Hsu, GNSS NLOS Exclusion Based on Dynamic Object Detection Using LiDAR Point Cloud, IEEE Transactions on Intelligent Transportation Systems, 2019, (SCI. 2019 IF. 5.744, Ranking 7.7%) [Accepted]
Weisong Wen, Guohao Zhang and Li-Ta Hsu, Correcting NLOS by 3D LiDAR and Building Height to Improve GNSS Single Point Positioning, The Journal of Navigation 61.1 (2019), (SCI. 2019 IF. 3.019, Ranking 10.7%) [Accepted]
Weisong Wen, Guohao Zhang and Li-Ta Hsu, Object Detection Aided GNSS and Its Integration with LiDAR in Highly Urbanized Areas, IEEE Intelligent Transportation Systems Magazine, 2019, (SCI. 2016 IF. 3.294, Ranking 10.7%) [Accepted]
Conference papers:
Weisong Wen, Tim Pfeifer, Xiwei Bai and Li-Ta Hsu, GNSS/LiDAR Integration Aided by Self-adaptive Gaussian Mixture Model in Urban Scenarios: An Approach Robust to Non-Gaussian Noise, IEEE/ION PLANS 2020, Portland, Oregon, USA. (To be presented)
Weisong Wen, Yiyang Zhou, Guohao Zhang, Saman Fahandezh-Saadi, Xiwei Bai, Wei Zhan, Masayoshi Tomizuka, and Li-Ta Hsu, UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes (submitted), ICRA 2020, Paris, France.
Weisong Wen, Xiwei Bai, and Li-Ta Hsu, AGPC-SLAM: Absolute Ground Plane Constrained 3D LiDAR SLAM. (submitted), ICRA 2020, Paris, France.
Weisong Wen, Kan Y.C and Li-Ta Hsu, Performance Comparison of GNSS/INS Integrations based on EKF and Factor Graph Optimization, ION GNSS+ 2019, Miami, Florida, USA.
Weisong Wen, Li-Ta Hsu. GNSS/INS Integration Based on Graph Optimization for Vehicular Positioning. Proceedings of 2019 Asian-Pacific Conference on Aerospace Technology and Science, August 28-31, 2019, Taiwan.
Weisong Wen, Wei Zhan and Li-Ta Hsu, Robust Localization Using 3D NDT Matching and Beam Model for Autonomous Vehicles in an Urban Scenario with Dynamic Obstacles, MMT 2019, Shenzhen, Guangdong, China.
Magzine and Book Chapters:
Weisong Wen and Li-ta Hsu, Perceived Environment Aided GNSS Single Point Positioning: An Example using LiDAR Scanner, Inside GNSS Magazine, July-August 2019. (Link)
Vehicular Networks: Applications, Performance Analysis and Challenges. Chapter 2. Vehicular Positioning System (Li-Ta Hsu, Weisong Wen and Guohao Zhang, Interdisciplinary Division of Aeronautical and Aviation Engineering, Hong Kong Polytechnic University, Hong Kong, China)
Project Contribution:
Participated Proposals:
UGC 2019:
Improved GNSS Single Point Positioning with the Aids of Real-Time Perceived Environmental Features. (UGC, Hong Kong, 2019)
科技部项目
Study of perception and decision-making strategy for autonomous driving vehicles in dense urbanized areas. (科技部项目, 2019)
华为项目（Still fighting!）
Mapping and Localization in urban canyons? High definition map development?
Participated Dataset
UrbanLoco ( https://advdataset2019.wixsite.com/advlocalization)
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
PolyU and UC Berkeley
Download: (5+, by 29, Dec 2019)
UrbanNav ( https://www.polyu-ipn-lab.com/urbannav)
UrbanNav: An Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong
Download: (0+, by 29, Dec 2019)
Lab Development Contribution:
Participated Experimental & Lab Development:
Sensor Kit:
Participated in Develop an Integrated Sensor Kit
Sensor Calibrations, placements,...
Lab Website Develoopment
Intelligent Positioning and Navigation Lab ( https://www.polyu-ipn-lab.com/)
Invite Tim Pfeifer as Visiting Student Researcher
Co-author the paper for IEEE sensors (Performance comparison of EKF and FGO)
Digest Gaussian Mixture Model (GMM) and learn from Tim Pfeifer