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Research related to urbanNav Dataset

2024

  • Lee, Dongjae; Jung, Minwoo; Yang, Wooseong; Kim, Ayoung;LiDAR odometry survey: recent advancements and remaining challenges,Intelligent Service Robotics,24-Jan,2024,Springer
  • Bhandari, Vedant; Phillips, Tyson Govan; McAree, Peter Ross;Minimal configuration point cloud odometry and mapping,The International Journal of Robotics Research,2.78365E+15,2024,SAGE Publications Sage UK: London, England
  • Quan, Sihang; Chen, Shaohua; Zhou, Yilan; Zhao, Shuai; Hu, Huizhu; Zhu, Qi;A Robust Position Estimation Method in the Integrated Navigation System via Factor Graph,Remote Sensing,16,3,562,2024,MDPI
  • Wu, Fan; Wei, Liangrui; Luo, Haiyong; Zhao, Fang; Ma, Xin; Ning, Bokun;T-SPP: Improving GNSS Single-Point Positioning Performance Using Transformer-Based Correction,International Journal of Intelligent Systems,2024,2024,Hindawi
  • Zhong, Yihan; Hu, Runzhi; Bai, Xiwei; Li, Xingxing; Hsu, Li-Ta; Wen, Weisong;Enhancing GNSS Positioning Accuracy for Road Monitoring Systems: A Factor Graph Optimization Approach Aided by Geospatial Information,IEEE Transactions on Instrumentation and Measurement2024,IEEE
  • Iyer, Kaushik; Dey, Abhijit; Xu, Bing; Sharma, Nitin; Hsu, Li-Ta;Enhancing Positioning in GNSS Denied Environments based on an Extended Kalman Filter Using Past GNSS Measurements and IMU,IEEE Transactions on Vehicular Technology2024,IEEE
  • Liu, Ruirui; Jiang, Yiping;Overbounding Multipath Error in Urban Canyon With LSTM Using Multi-Sensor Features,IEEE Transactions on Intelligent Transportation Systems2024,IEEE
  • Zhao, Xiongwei; Wen, Congcong; Prakhya, Sai Manoj; Yin, Hongpei; Zhou, Rundong; Sun, Yijiao; Xu, Jie; Bai, Haojie; Wang, Yang;Multi-Modal Features and Accurate Place Recognition with Robust Optimization for Lidar-Visual-Inertial SLAM,IEEE Transactions on Instrumentation and Measurement2024,IEEE
  • Vicenzo, Sergio; Xu, Bing; Xu, Haosheng; Hsu, Li-Ta;GNSS direct position estimation-inspired positioning with pseudorange correlogram for urban navigation,GPS Solutions,28,2,83,2024,Springer
  • Zhou, Jiahao; Long, Chen; Xie, Yue; Wang, Jialiang; Li, Boheng; Wang, Haiping; Chen, Zhe; Dong, Zhen;VEnvision3D: A Synthetic Perception Dataset for 3D Multi-Task Model Research,arXiv preprint arXiv:2402.190592024,
  • Zhang, Houzhan; Xiao, Rong; Li, Jiaxin; Yan, Chuangye; Tang, Huajin;A High-Precision LiDAR-Inertial Odometry via Invariant Extended Kalman Filtering and Efficient Surfel Mapping,IEEE Transactions on Instrumentation and Measurement2024,IEEE
  • Zhang, Lingwen; Zhao, Hongli; Chen, Jia; Li, Lei; Liu, Xiaolong;Vehicular positioning based on GPS/IMU data fusion aided by V2X networks,IEEE Sensors Journal2024,IEEE
  • Sun, Han; Tang, Song; Qi, Xiaozhi; Ma, Zhiyuan; Gao, Jianxin;MCFilter: feature filter based on motion-correlation for LiDAR SLAM,Robotic Intelligence and Automation,44,1,68-83,2024,Emerald Publishing Limited
  • Suzuki, Taro;Multiple Update Particle Filter: Position Estimation by Combining GNSS Pseudorange and Carrier Phase Observations,arXiv preprint arXiv:2403.033942024,
  • Zocca, Simone; Guo, Yihan; Dovis, Fabio;A GNSS Multipath and NLoS Mitigation Method for Urban Scenarios Based on Particle Filtering,Proceedings of the 2024 International Technical Meeting of The Institute of Navigation,575-588,2024,
  • Pelham, Timothy; Chen, Y; Liu, S; Ji, Z; Anyaegbu, E; Wong, R; Grech, R;Open Spatial Dataset for GNSS and Autonomous Navigation,Authorea Preprints2024,Authorea
  • Xu, Penghui; Zhang, Guohao; Zhong, Yihan; Yang, Bo; Hsu, Li-Ta;A Framework for Graphical GNSS Multipath and NLOS Mitigation,IEEE Transactions on Intelligent Transportation Systems2024,IEEE

2023

  • Wen, Weisong; Bai, Xiwei; Hsu, Li-Ta;3D vision aided GNSS real-time kinematic positioning for autonomous systems in urban canyons,NAVIGATION: Journal of the Institute of Navigation,70,3,2023,Institute of Navigation
  • Liu, Xikun; Wen, Weisong; Hsu, Li-Ta;Glio: Tightly-coupled gnss/lidar/imu integration for continuous and drift-free state estimation of intelligent vehicles in urban areas,IEEE Transactions on Intelligent Vehicles,2023,IEEE
  • Lang, Xiaolei; Chen, Chao; Tang, Kai; Ma, Yukai; Lv, Jiajun; Liu, Yong; Zuo, Xingxing;Coco-LIC: continuous-time tightly-coupled LiDAR-inertial-camera odometry using non-uniform B-spline,IEEE Robotics and Automation Letters,2023,IEEE
  • Jung, Minwoo; Jung, Sangwoo; Kim, Ayoung;Asynchronous multiple lidar-inertial odometry using point-wise inter-lidar uncertainty propagation,IEEE Robotics and Automation Letters,2023,IEEE
  • Shi, Pengcheng; Zhu, Zhikai; Sun, Shiying; Zhao, Xiaoguang; Tan, Min;Invariant extended Kalman filtering for tightly coupled LiDAR-inertial odometry and mapping,IEEE/ASME Transactions on Mechatronics,2023,IEEE
  • Jung, Minwoo; Yang, Wooseong; Lee, Dongjae; Gil, Hyeonjae; Kim, Giseop; Kim, Ayoung;HeLiPR: heterogeneous LiDAR dataset for inter-LiDAR place recognition under spatial and temporal variations,arXiv preprint arXiv:2309.14590,2023,
  • Zhong, Yihan; Huang, Feng; Zhang, Jiachen; Wen, Weisong; Hsu, Li?Ta;Low?cost solid?state LiDAR/inertial?based localization with prior map for autonomous systems in urban scenarios,IET Intelligent Transport Systems,17,3,474-486,2023,Wiley Online Library
  • Xu, Penghui; Zhang, Guohao; Yang, Bo; Hsu, Li-Ta;PositionNet: CNN-based GNSS positioning in urban areas with residual maps,Applied Soft Computing,148,110882,2023,Elsevier
  • Wu, Jiaji; Jiang, Jinguang; Zhang, Chao; Li, Yuying; Yan, Peihui; Meng, Xiaoliang;A Novel Optimal Robust Adaptive Scheme for Accurate GNSS RTK/INS Tightly Coupled Integration in Urban Environments,Remote Sensing,15,15,3725,2023,MDPI
  • Axmann, Jeldrik; Moftizadeh, Rozhin; Su, Jingyao; Tennstedt, Benjamin; Zou, Qianqian; Yuan, Yunshuang; Ernst, Dominik; Alkhatib, Hamza; Brenner, Claus; Schön, Steffen;LUCOOP: Leibniz University Cooperative Perception and Urban Navigation Dataset,2023 IEEE Intelligent Vehicles Symposium (IV)8-Jan,2023,IEEE
  • Chang, Jiachong; Huang, Feng; Zhang, Liang; Xu, Dingjie; Hsu, Li-Ta;Selection of Areas for Effective GNSS Spoofing Attacks to a Vehicle-mounted MSF System based on Scenario Classification Models,IEEE Transactions on Vehicular Technology,2023,IEEE
  • Chang, Jiachong; Hu, Runzhi; Huang, Feng; Xu, Dingjie; Hsu, Li-Ta;LiDAR-based NDT Matching Performance Evaluation for Positioning in Adverse Weather Conditions,IEEE Sensors Journal,2023,IEEE
  • Wu, Weizhuang; Wang, Wanliang;LiDAR Inertial Odometry Based on Indexed Point and Delayed Removal Strategy in Highly Dynamic Environments,Sensors,23,11,5188,2023,MDPI
  • Liu, Jun; Zhang, Yunzhou; Zhao, Xiaoyu; He, Zhengnan;FR-LIO: Fast and robust lidar-inertial odometry by tightly-coupled iterated Kalman smoother and robocentric voxels,arXiv preprint arXiv:2302.04031,2023,
  • Li, Zhengdao; Lee, Pin-Hsun; Hung, Tsz Hin Marcus; Zhang, Guohao; Hsu, Li-Ta;Intelligent Environment-Adaptive GNSS/INS Integrated Positioning with Factor Graph Optimization,Remote Sensing,16,1,181,2023,MDPI
  • Ng, Hoi-Fung; Hsu, Li-Ta; Zhang, Guohao;Multi-Epoch Kriging-Based 3D Mapping-Aided GNSS and Doppler Measurement Fusion using Factor Graph Optimization,NAVIGATION: Journal of the Institute of Navigation,70,4,2023,Institute of Navigation
  • Zhang, Liyuan; Ng, Hoi-Fung; Zhang, Guohao; Hsu, Li-Ta;3D mapping aided gnss positioning using doppler frequency for urban areas,Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023)2897-2905,2023,
  • Pant, Kartik A; Yang, Zhanpeng; Goppert, James M; Hwang, Inseok;An open-source gazebo plugin for gnss multipath signal emulation in virtual urban canyons,AIAA SCITECH 2023 Forum2586,2023,
  • Hu, Runzhi; Wen, Weisong; Hsu, Li–Ta; Fisheye Camera Aided GNSS NLOS Detection and Learning-Based Pseudorange Bias Correction for Intelligent Vehicles in Urban Canyons,2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)6088-6095,2023,IEEE
  • Gupta, Shubh; Mohanty, Adyasha; Gao, Grace;Urban localization using robust filtering at multiple linearization points,EURASIP Journal on Advances in Signal Processing,2023,1,100,2023,Springer
  • Zeng, Bo; Song, Chengqun; Jun, Cheng; Kang, Yuhang;DFPC-SLAM: A dynamic feature point constraints-based SLAM using stereo vision for dynamic environment,Guidance, Navigation and Control,3,1,2350003,2023,World Scientific
  • Ai, Mengchi; Asl Sabbaghian Hokmabadi, I; Elhabiby, Mohamed; Moussa, Mohamed; Zekry, Ahmed; Mohamed, Ahmed; El-Sheimy, Naser;Lidar-Inertial Localization with Ground Constraint in a Point Cloud Map,ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences,10,613-619,2023,Copernicus Publications Göttinge, Germany
  • Wang, Shiteng; Shen, Yanqing; Zhang, Liang; Chen, Pei; Chen, Shitao; Xin, Jingmin; Zheng, Nanning;Direction-Based Feature Selection for Efficient LiDAR Odometry in Urban Environment,2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)2611-2617,2023,IEEE
  • Zhang, Jiachen; Wen, Weisong; Hsu, Li-Ta; Gong, Zheng; Su, Zhongzhe;LiDAR Feature Outlier Mitigation Aided by Graduated Non-convexity Relaxation for Safety-critical Localization in Urban Canyons,2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)660-664,2023,IEEE
  • Picard, Quentin; Chevobbe, Stephane; Darouich, Mehdi; Didier, Jean-Yves;A survey on real-time 3D scene reconstruction with SLAM methods in embedded systems,arXiv preprint arXiv:2309.05349,2023,
  • Ai, Mengchi; Elhabiby, Mohamed; Asl Sabbaghian Hokmabadi, I; El-Sheimy, Naser;Lidar-Inertial Navigation Based on Map Aided Distance Constraint and Factor Graph Optimization,The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,48,875-880,2023,Copernicus Publications Göttinge, Germany
  • Wang, Jing; Duan, Yifan; Ji, Jianmin;ScanTrimmer: an Online Dynamic Objects Removal Framework in Laser Scan for Robust Localization,2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)6-Jan,2023,IEEE
  • Bai, Xiwei; Hsu, Li-Ta;GVIM: GNSS/Visual/IMU/Map Integration Via Sliding Window Factor Graph Optimization in Urban Canyons,Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023)2258-2269,2023,
  • Liu, Xikun; Wen, Weisong; Hsu, Li-Ta;3D LiDAR Aided GNSS NLOS Correction with Direction of Arrival Estimation Using Doppler Measurements,Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023)2206-2216,2023,
  • Wang, XiaoLin; Zhang, Lingwen;GPS/IMU fusion localization based on attention-LSTM networks and sliding windows,International Conference on Signal Processing and Communication Technology (SPCT 2022),12615,372-378,2023,SPIE
  • Bai, Xiwei;Outlier-aware GNSS/INS/visual integrated navigation system in urban canyons,2023,Hong Kong Polytechnic University
  • Pant, Kartik Anand;Enhancing Cybersecurity of Unmanned Aircraft Systems in Urban Environments,2023,Purdue University
  • Pfeifer, M Sc Tim;Adaptive Estimation using Gaussian Mixtures,2023,
  • Gupta, Shubh;High-Integrity Urban Localization: Bringing Safety in Aviation to Autonomous Driving,2023,Stanford University
  • Wang, Wanliang; Wu, Weizhuang;LiDAR Inertial Odometry Based on Indexed Point and Delayed Removal Strategy in High Dynamic Environments,2023,Preprints
  • 길현재; 이동재; 송관형; 안승욱; 김아영; 비정형 환경 내 지도 작성과 자율주행을 위한 GNSS-라이다-관성 상태 추정 시스템 로봇학회 논문지 18 1 72-81 2023
  • Chen, Peiyu; Guan, Weipeng; Huang, Feng; Zhong, Yihan; Wen, Weisong; Hsu, Li-Ta; Lu, Peng;ECMD: An Event-Centric Multisensory Driving Dataset for SLAM,IEEE Transactions on Intelligent Vehicles,2023,IEEE
  • Chi, Cheng; Zhang, Xin; Liu, Jiahui; Sun, Yulong; Zhang, Zihao; Zhan, Xingqun;GICI-LIB: A GNSS/INS/Camera Integrated Navigation Library,IEEE Robotics and Automation Letters,2023,IEEE
  • Zhu, Jiaming; Zhou, Han; Wang, Ziyi; Yang, Suli;Improved Multi-sensor Fusion Positioning System Based on GNSS/LiDAR/Vision/IMU with Semi-tightly Coupling and Graph Optimization in GNSS Challenging Environments,IEEE Access,2023,IEEE
  • Wu, Yibin; Guadagnino, Tiziano; Wiesmann, Louis; Klingbeil, Lasse; Stachniss, Cyrill; Kuhlmann, Heiner;Lio-ekf: High frequency lidar-inertial odometry using extended kalman filters,arXiv preprint arXiv:2311.09887,2023,
  • Huang, Feng; Wen, Weisong; Zhang, Jiachen; Wang, Chaoqun; Hsu, Li-Ta;Dynamic Object-aware LiDAR Odometry Aided by Joint Weightings Estimation in Urban Areas,IEEE Transactions on Intelligent Vehicles,2023,IEEE
  • Huang, Feng; Wen, Weisong; Zhang, Guohao; Su, Dongzhe; Hsu, Li-Ta;Adaptive Multi-Sensor Integrated Navigation System Aided by Continuous Error Map from RSU for Autonomous Vehicles in Urban Areas,2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)5895-5902,2023,IEEE
  • You, Donggil; Jung, Jihoon; Oh, Junghyun;Enhancing Low-light Images for Monocular Visual Odometry in Challenging Lighting Conditions,International Journal of Control, Automation and Systems,21,11,3528-3539,2023,Springer

2022

  • M. Chen, Y. Feng, S. Wang and Q. Liang, "A Mine Intersection Recognition Method Based on Geometric Invariant Point Detection Using 3D Point Cloud," in IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 11934-11941, Oct. 2022, doi: 10.1109/LRA.2022.3208366.

  • T. Suzuki, "GNSS Odometry: Precise Trajectory Estimation Based on Carrier Phase Cycle Slip Estimation," in IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7319-7326, July 2022, doi: 10.1109/LRA.2022.3182795.

  • W. W. Wen and L. -T. Hsu, "3D LiDAR Aided GNSS NLOS Mitigation in Urban Canyons," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 18224-18236, Oct. 2022, doi: 10.1109/TITS.2022.3167710.

  • Xu, X.; Zhang, L.; Yang, J.; Cao, C.; Wang, W.; Ran, Y.; Tan, Z.; Luo, M. A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR. Remote Sens. 2022, 14, 2835. https://doi.org/10.3390/rs14122835

  • Zhong Y, Huang F, Zhang J, et al. Low‐cost solid‐state LiDAR/inertial‐based localization with prior map for autonomous systems in urban scenarios[J]. IET Intelligent Transport Systems, 2022.

  • Zhang, J.; Wen, W.; Huang, F.; Wang, Y.; Chen, X.; Hsu, L.-T. GNSS-RTK Adaptively Integrated with LiDAR/IMU Odometry for Continuously Global Positioning in Urban Canyons. Appl. Sci. 2022, 12, 5193. https://doi.org/10.3390/app12105193

  • Sun, K.; Zeng, Q.; Liu, J.; Wang, S. Fault Detection of Resilient Navigation System Based on GNSS Pseudo-Range Measurement. Appl. Sci. 2022, 12, 5313. https://doi.org/10.3390/app12115313

  • Ng, H.-F.; Hsu, L.-T.; Lee, M.J.L.; Feng, J.; Naeimi, T.; Beheshti, M.; Rizzo, J.-R. Real-Time Loosely Coupled 3DMA GNSS/Doppler Measurements Integration Using a Graph Optimization and Its Performance Assessments in Urban Canyons of New York. Sensors 2022, 22, 6533. https://doi.org/10.3390/s22176533

  • F. Huang, W. Wen, H. -F. Ng and L. -T. Hsu, "LiDAR Aided Cycle Slip Detection for GNSS Real-Time Kinematic Positioning in Urban Environments," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 1572-1578, doi: 10.1109/ITSC55140.2022.9921814.

  • X. Bai, W. Wen, G. Zhang, H. -F. Ng and L. -T. Hsu, "GNSS Outliers Mitigation in Urban Areas Using Sparse Estimation Based on Factor Graph Optimization," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 197-202, doi: 10.1109/ITSC55140.2022.9921906.

  • Ai, Mengchi, Luo, Yiran, El-Sheimy, Naser, "Surround Mask Aiding GNSS/LiDAR SLAM for 3D Mapping in the Dense Urban Environment," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 2011-2019. https://doi.org/10.33012/2022.18550

  • Ng, Hoi-Fung, "Multi-Epoch Kriging-Based 3D Mapping Aided GNSS using Factor Graph Optimization," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 1706-1720. https://doi.org/10.33012/2022.18497

  • Liu, Xikun, Wen, Weisong, Hsu, Li-Ta, "3D LiDAR Aided GNSS Real-time Kinematic Positioning via Coarse-to-fine Batch Optimization for High Accuracy Mapping in Dense Urban Canyons," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 1954-1965. https://doi.org/10.33012/2022.18545

  • Wen W, Hsu L T. Factor Graph Optimization for Tightly-Coupled GNSS Pseudorange/Doppler/Carrier Phase/INS Integration: Performance in Urban Canyons of Hong Kong[C]//Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022). 2022: 2178-2189.

  • Gupta S, Mohanty A, Gao G. Getting The Best of Particle and Kalman Filters: GNSS Sensor Fusion using Rao-Blackwellized Particle Filter[C]//Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022). 2022: 1610-1623.

  • Bu, Z.; Sun, C.; Wang, P. Semantic Lidar-Inertial SLAM for Dynamic Scenes. Appl. Sci. 2022, 12, 10497. https://doi.org/10.3390/app122010497

2021

  • G. Zhang, P. Xu, H. Xu and L. -T. Hsu, "Prediction on the Urban GNSS Measurement Uncertainty Based on Deep Learning Networks With Long Short-Term Memory," in IEEE Sensors Journal, vol. 21, no. 18, pp. 20563-20577, 15 Sept.15, 2021, doi: 10.1109/JSEN.2021.3098006.
  • Wen, W., Pfeifer, T., Bai, X., & Hsu, L. T. (2021). Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter. NAVIGATION, Journal of the Institute of Navigation, 68(2), 315-331. https://doi.org/10.1002/navi.421
  • Wen, Weisong, Xiwei Bai, Li-Ta Hsu, and Tim Pfeifer. "GNSS/LiDAR Integration Aided by Self-Adaptive Gaussian Mixture Models in Urban Scenarios: An Approach Robust to Non-Gaussian Noise." In 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), pp. 647-654. IEEE, 2020. https://doi.org/10.1109/PLANS46316.2020.9110157
  • Zhang, Jiachen, Weisong Wen, Feng Huang, Xiaodong Chen, and Li-Ta Hsu. 2021. "Coarse-to-Fine Loosely-Coupled LiDAR-Inertial Odometry for Urban Positioning and Mapping" Remote Sensing 13, no. 12: 2371. https://doi.org/10.3390/rs13122371
  • Zhang, Jiachen, Wen, Weisong, Huang, Feng, Chen, Xiaodong, Hsu, Li-Ta, "Continuous GNSS-RTK Aided by LiDAR/Inertial Odometry with Intelligent GNSS Selection in Urban Canyons," Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), St. Louis, Missouri, September 2021, pp. 4198-4207. https://doi.org/10.33012/2021.18089
  • Suzuki, Taro, "Robust Vehicle Positioning in Multipath Environments Based on Graph Optimization," Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), St. Louis, Missouri, September 2021, pp. 4223-4233. https://doi.org/10.33012/2021.18091
  • Bai X, Wen W, Hsu L T. Degeneration-Aware Outlier Mitigation for Visual Inertial Integrated Navigation System in Urban Canyons[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-15.
  • F. Huang, W. Wen, J. Zhang and L. -T. Hsu, "Point Wise or Feature Wise? A Benchmark Comparison of Publicly Available Lidar Odometry Algorithms in Urban Canyons," in IEEE Intelligent Transportation Systems Magazine, doi: 10.1109/MITS.2021.3092731.

Before 2020

  • Li, Tao, Ling Pei, Yan Xiang, Qi Wu, Songpengcheng Xia, Lihao Tao, and Wenxian Yu. "P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment." IEEE Sensors Journal (2020). paper
  • Chen, Chao, and Guobin Chang. "PPPLib: An open-source software for precise point positioning using GPS, BeiDou, Galileo, GLONASS, and QZSS with multi-frequency observations." GPS Solutions 25, no. 1 (2020): 1-7. PPPLib Code, paper
  • Li, Kailai, Meng Li, and Uwe D. Hanebeck. "Towards high-performance solid-state-lidar-inertial odometry and mapping." IEEE Robotics and Automation Letters 6.3 (2021): 5167-5174.
  • Wen, Weisong, Guohao Zhang, and Li-Ta Hsu. "Exclusion of GNSS NLOS receptions caused by dynamic objects in heavy traffic urban scenarios using real-time 3D point cloud: An approach without 3D maps." Position, Location and Navigation Symposium (PLANS), 2018 IEEE/ION. IEEE, 2018.
  • Wen, W.; Hsu, L.-T.*; Zhang, G. (2018) Performance analysis of NDT-based graph slam for autonomous vehicle in diverse typical driving scenarios of Hong Kong. Sensors 18, 3928.
  • Wen, W., Zhang, G., Hsu, Li-Ta (Presenter), Correcting GNSS NLOS by 3D LiDAR and Building Height, ION GNSS+, 2018, Miami, Florida, USA.
  • Zhang, G., Wen, W., Hsu, Li-Ta, Collaborative GNSS Positioning with the Aids of 3D City Models, ION GNSS+, 2018, Miami, Florida, USA. (Best Student Paper Award)
  • Zhang, G., Wen, W., Hsu, Li-Ta, A Novel GNSS based V2V Cooperative Localization to Exclude Multipath Effect using Consistency Checks, IEEE PLANS, 2018, Monterey, California, USA. Copyright (c) 2018 Weisong WEN