城市 GNSS多径NLOS衍射多普勒一致性重尾误差测量可靠性不确定度建模
方向负责人: 许立达 (Li-Ta Hsu)
密集城市不是 GNSS 的例外场景,而是它的压力测试。我们研究 GNSS 测量如何失效 —— NLOS、多径、衍射、多普勒畸变、重尾误差 —— 并在它们污染下游估计之前,在测量层检测并量化这些失效。
目标不仅是修正"坏测量",更要建模它们的可靠性 —— 让导航管线的其余部分知道何时可以信任。这条方向是 环境感知、优化估计 和 完好性 三条方向在测量层的共同基础。
实验室成员
Weisong Wen (47)
Guohao Zhang (46)
Hoi-Fung Ng (21)
Bing Xu (19)
Yihan Zhong (13)
Xiwei Bai (11)
Penghui Xu (9)
Yiran Luo (9)
Feng Huang (8)
Liang Zhang (6)
Penggao Yan (6)
Haosheng Xu (5)
Qiongqiong Jia (4)
Abhijit Dey (3)
Yuan Li (3)
Chin-Lok Tsang (2)
Dongzhe Su (2)
Jiachen Zhang (2)
Jiachong Chang (2)
Qian Meng (2)
Runzhi Hu (2)
Shiyu Bai (2)
Xiao Xia (2)
Zhengdao Li (2)
Changhui Jiang (1)
Dabin Xue (1)
Hongmin Zhang (1)
Max Jwo-Lem Lee (1)
Ronghe Jin (1)
Shaoming Xin (1)
Tim Pfeifer (1)
Yue Jiang (1)
Yuhao Zhang (1)
相关项目
- UrbanNav (城市导航数据集) active
- 多智能体协同 GNSS completed
- UrbanLoco (城市定位数据集) maintained
- 面向城市低空交通管理的鲁棒 GNSS 导航 active
- GraphGNSSLib (因子图 GNSS 库) active
- 3D 地图辅助 GNSS (3DMA) 用于智能手机与物联网 active
- GPS_VT_SDR —— 接收机层 GNSS 信号处理平台 archived-influential
- 面向无人机系统的环境感知 GNSS active
相关论文
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Hsu, L. T& Wen, W (2026).3D LiDAR Aided GNSS and the Method for NLOS Detection and Correction (CA 3,156,087). Canadian Intellectual Property Office (CIPO).
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Fang, J., Bing, Xu, Liu, X., & Hsu, L.-T. (2026).Multipath Parameter Estimation Using GNSS Receiver Doppler Measurements. IEEE Transactions on Aerospace and Electronic Systems. https://doi.org/10.1109/taes.2026.3683035
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Hsu, L. T., Zhang, G., & F., N. H. (2025).Chapter: Map-Aided GNSS Positioning. Springer Publishers Inc.
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Hsu, L. T& Wen, W (2025).3D LiDAR Aided GNSS and the Method for NLOS Detection and Correction (ZL 2022 1 0905688.2). China National Intellectual Property Administration (CNIPA).
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Yan, P., Hu, Y., Wen, W., & Hsu, L. T. (2025).Multiple Faults Isolation For Multi-Constellation GNSS Positioning through Incremental Expansion of Consistent Measurements. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2024.3524434
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patent
Hsu, L. T& Wen, W (2022).3D LiDAR Aided GNSS and the Method for NLOS Detection and Correction (US 2023/0033404 A1). U.S. Patent and Trademark Office. https://patents.google.com/patent/US20230033404A1
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journal
Q1
Dey, A., Iyer, K., B., X., Sharma, N., & Hsu, L. T. (2022).Carrier-Aided Dual Frequency Vectorized Tracking Architecture for NavIC Signals. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/tim.2022.3146927
journal
Q1
Bai, X., Wen, W., & Hsu, L. T. (2022).Time-correlated Window Carrier-phase Aided GNSS Positioning Using Factor Graph Optimization for Urban Positioning. IEEE Transactions on Aerospace and Electronic Systems. https://doi.org/10.1109/taes.2022.3149730
journal
Q2
Zhang, J, Wen, W, Huang, F, Wang, Y, Chen, X, & Hsu, L. T. (2022).GNSS-RTK Adaptively Integrated with LiDAR/IMU Odometry for Continuously Global Positioning in Urban Canyons. Applied Sciences. https://doi.org/10.3390/app12105193
journal
Q1
Wen, W. and Hsu L.-T. (2022).3D LiDAR Aided GNSS NLOS Mitigation in Urban Canyons. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2022.3167710
journal
Q1
Meng, Q. and Hsu L. T. (2022).Resilient Interactive Sensor-Independent-Update Fusion Navigation Method. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2022.3150273
journal
Q1
Jia, Q., Hsu, & L. T. and Wu, R. (2022).Scalar and vector tracking loop simulation based on a uniform semi-analytic model and robustness analysis in multipath/NLOS situations. GPS Solutions. https://doi.org/10.1007/s10291-022-01280-w
journal
Q1
Yue, J.& Xu B. and Hsu, L. T. (2022).Data Denoising Based on Hadamard Matrix Transformation and Rayleigh Quotient Maximization: Application to GNSS Signal Classification. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/tim.2022.3184357
conference
Liu, X., Wen, W., & Hsu, L.-T. (2022).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). https://doi.org/10.33012/2022.18545
2021 (12)
patent
Zhang, G& Hsu, L. T (2021).3D map-aided GNSS cooperative positioning method and system (ZL 201910866398.X). China National Intellectual Property Administration. https://patents.google.com/patent/CN110426717B
journal
Q1
Jiang, C., B., X., & Hsu, L. T. (2021).A Probabilistic Approach to Detect and Mitigate GNSS NLOS Using State Augmented Kalman Filter. GPS Solutions. https://doi.org/10.1007/s10291-021-01101-6
journal
Q1
Zhang, G.& Hsu, L. T. (2021).Performance Assessment of the GNSS Diffraction Models in Urban Areas. NAVIGATION: Journal of the Institute of Navigation. https://doi.org/10.1002/navi.417
journal
Q1
Zhang, G., B., X., H.F., N., & Hsu, L. T. (2021).GNSS RUMS: GNSS Realistic Urban Multi-agent Simulator for Collaborative Positioning Research. Remote Sensing. https://doi.org/10.20944/preprints202012.0647.v1
journal
Q1
Featured
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. https://doi.org/10.1002/navi.421
journal
Q1
Featured
H.F., N., Zhang, G., & Hsu, L. T. (2021).Robust GNSS Shadow Matching for Smartphones in Urban Canyons. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2021.3083801
journal
Q1
H.F., N., Zhang, G., & Hsu, L. T. (2021).Urban Positioning: 3D Mapping Aided GNSS using Dual-Frequency Pseudorange Measurements from Smartphones. NAVIGATION: Journal of the Institute of Navigation. https://doi.org/10.1002/navi.448
journal
Q1
Zhang, J., Wen, W., Huang, F., & Hsu, L. T. (2021).Coarse-to-Fine Loosely-Coupled LiDAR-Inertial Odometry for Urban Positioning and Mapping. Remote Sensing. https://doi.org/10.3390/rs13122371
journal
Q1
Zhang, G., P., X., H., X., & Hsu, L. T. (2021).Prediction on the Urban GNSS Measurement Uncertainty based on Deep Learning Networks with Long Short-Term Memory. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2021.3098006
journal
Q1
Yue, J., Wen, W., Han, J., & Hsu, L. T. (2021).3D Point Clouds Data Super Resolution Aided LiDAR Odometry for Vehicular Positioning in Urban Canyons. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2021.3069212
journal
Q1
Featured
H.F., N.& Hsu, L.T. (2021).3D Mapping Database Aided GNSS RTK and Its Assessments in Urban Canyons. IEEE Transactions on Aerospace and Electronic Systems. https://doi.org/10.1109/taes.2021.3069271
journal
Q2
Lee, J.L. M., Hsu, L. T., & H.-F., N. (2021).Semantic-Based VPS for Smartphone Localization in Challenging Urban Environments. Sensors. https://doi.org/10.3390/s21186137
2020 (19)
journal
Q1
H., X., Angrisano, A., Gaglione, S., & Hsu, L. T. (2020).Machine Learning based LOS/NLOS Classifier and Robust Estimator for GNSS Shadow Matching. Satellite Navigation. https://doi.org/10.1186/s43020-020-00016-w
journal
Q3
El-Mowafy, A., B., X., & Hsu, L. T. (2020).Integrity Monitoring of multi-GNSS SPP and DGNSS in Urban Environment using ARAIM and 3D City Models. Journal of Spatial Science.
journal
Q3
Meng, Q.& Hsu, L. T. (2020).Integrity for Autonomous Vehicles and Towards a Novel Alert Limit Determination Method. Proc. IMechE, Part D: Journal of Automobile Engineering. https://doi.org/10.1177/0954407020965760
journal
Q3
Bai, X., Wen, W., & Hsu, L. T. (2020).Using Sky-Pointing Fish-eye Camera and LiDAR to Aid GNSS Single Point Positioning in Urban Canyons. IET Intelligent Transport Systems. https://doi.org/10.1049/iet-its.2019.0587
journal
Q1
H., X., Hsu, L. T., D., L., & Cai, B. (2020).Sky Visibility Estimation based on GNSS Satellite Visibility: An Approach of GNSS based Context-Awareness. GPS Solutions. https://doi.org/10.1007/s10291-020-0973-5
journal
Q1
Chiang, K. W., H., L. Y., Hsu, L. T., & Chu, F. Y. (2020).The Design a TDCP-Smoothed GNSS/Odometer Integration Scheme with Vehicular-Motion Constraint and Robust Regression. Remote Sensing. https://doi.org/10.3390/rs12162550
journal
Q1
Bai, X., Wen, W., & Hsu, L. T. (2020).Robust Visual-Inertial Integrated Navigation System Aided by Online Sensor Model Adaption for Autonomous Ground Vehicles in Urban Areas. Remote Sensing. https://doi.org/10.20944/preprints202003.0018.v1
journal
Q1
Wen, W., Zhang, G., & Hsu, L. T. (2020).Object Detection Aided GNSS and Its Integration with LiDAR in Highly Urbanized Areas. IEEE Intelligent Transportation Systems Magazine. https://doi.org/10.1109/mits.2020.2994131
journal
Q1
Meng, Q.& Hsu, L. T. (2020).Integrity Monitoring for All-Source Navigation Enhanced by Kalman Filter-Based Solution Separation. IEEE Sensors Journals. https://doi.org/10.1109/jsen.2020.3026081
journal
Q1
Sun, R., L., F., Wang, G, Cheng, Q., & Hsu, L. T. and Ochieng W. Y. (2020).Using Dual-Polarization GPS Antenna with Optimized Adaptive Neuro-Fuzzy Inference System to Improve Single Point Positioning Accuracy in Urban Canyons. NAVIGATION: Journal of the Institute of Navigation. https://doi.org/10.1002/navi.408
journal
Q1
F., N. H., Zhang, G., & Hsu, L. T. (2020).A Computation Effective Range-Based 3D Mapping Aided GNSS with NLOS Correction Method. Journal of Navigation. https://doi.org/10.1017/s037346332000003x
journal
Q2
Wen, W., Bai, X., Zhang, G., Chen, S., Yuan, F., & Hsu, L. T. (2020).Multi-Agent Collaborative GNSS/Camera/INS Integration Aided by Inter-ranging for Vehicular Navigation in Urban Areas. IEEE Access. https://doi.org/10.1109/access.2020.3006210
journal
Q2
H.F., N., Zhang, G., Yang, K.Y., & Yang, S. X. Hsu L. T. (2020).Improved Weighting Scheme using Consumer-level GNSS L5/E5a/B2a Pseudorange Measurements in the Urban Area. Advances in Space Research. https://doi.org/10.1016/j.asr.2020.06.002
journal
Q2
Lee, M.J.L., Lee, S., F., N. H., & Hsu, L T. (2020).Skymask Matching Aided Positioning Using Sky-Pointing Fisheye Camera and 3D City Models in Urban Canyons. Sensors. https://doi.org/10.3390/s20174728
journal
Q1
Zhang, G., Wen, W. Xu B., & Hsu, L. T. (2020).Extending Shadow Matching to Tightly-Coupled GNSS/INS Integration System. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2020.2981093
journal
Q1
Zhang, G., F., N. H., & Hsu, L. T. (2020).3D Mapping Database Aided GNSS Based Collaborative Positioning Using Factor Graph Optimization. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2020.2988531
journal
Q1
Jia, Q., Hsu, L. T., B., X., & R., W. (2020).Assessment of beamforming for GNSS multipath mitigation with a cost-effective structure. Journal of Navigation.
journal
Q1
Sun, R., Wang, G., Cheng, Q., L., F., Chiang, K.W., & Hsu, L. T. and Ochieng W. Y. (2020).Improving GPS Code Phase Positioning Accuracy in Urban Environments Using Machine Learning. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2020.3037074
magazine
Hsu, L. T (2020).What are the roles of artificial intelligence and machine learning in GNSS positioning. Inside GNSS.
2019 (12)
book
Hsu, L. T., Wen, W., & Zhang, G (2019).Chapter 2 - Vehicular Positioning System. Nova Science Publishers Inc.
journal
Q1
B., X.& Hsu, L. T. (2019).An Open Source Matlab Code on GPS Vector Tracking based on Software-Defined Receiver. GPS Solutions. https://doi.org/10.1007/s10291-019-0839-x
journal
Q1
Luo, Y., J., L., C., Y., B., X., Y., L., Hsu, L. T., & El-Sheimy, N. (2019).Research on Time-Correlated Errors Using Allan Variance in a Kalman Filter Applicable to Vector-Tracking-Based GNSS Software-Defined Receiver for Autonomous Ground Vehicle Navigation. Remote Sensing. https://doi.org/10.3390/rs11091026
journal
Q1
Zhang, G., Wen, W., & Hsu, L. T. (2019).Rectification of GNSS based Collaborative Positioning using 3D Building Models in Urban Areas. GPS Solutions. https://doi.org/10.1007/s10291-019-0872-9
journal
Q1
B., X., Jia, Q., Luo, Y., & Hsu, L. T. (2019).Intelligent GPS L1 LOS/Multipath/NLOS Classifiers Based on Correlator-, RINEX-and NMEA-Level Measurements. Remote Sensing. https://doi.org/10.3390/rs11161851
journal
Q1
Wen, W., Zhang, G., & Hsu, L. T. (2019).Correcting NLOS by 3D LiDAR and building height to improve GNSS single point positioning. NAVIGATION: Journal of the Institute of Navigation. https://doi.org/10.1002/navi.335
journal
Q1
Sun, R., Hsu, L. T., Xue, D., Zhang, G., & Washington, Y.O. (2019).GPS Signal Reception Classification Using Adaptive Neuro-Fuzzy Inference System. Journal of Navigation. https://doi.org/10.1017/s0373463318000899
journal
Q1
Wen, W., Bai, X., Kan, Y.C., & Hsu, L. T. (2019).Tightly Coupled GNSS/INS Integration Via Factor Graph and Aided by Fish-eye Camera. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2019.2944680
journal
Q1
B., X.& Jia, Q. and Hsu L. T. (2019).Vector Tracking Loop-based GNSS NLOS Detection and Correction: Algorithm Design and Performance Analysis. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/tim.2019.2950578
journal
Q1
Sun, R., Wang, G., Zhang, W., & Hsu, L. T. and Ochieng W. Y. (2019).A Gradient Boosting Decision Tree Based GPS Signal Reception Classification Algorithm. Applied Soft Computing Journal. https://doi.org/10.1016/j.asoc.2019.105942
journal
Q1
Wen, W., Zhang, G., & Hsu, L. T. (2019).GNSS NLOS Exclusion Based on Dynamic Object Detection Using LiDAR Point Cloud. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2019.2961128
magazine
Wen, W& Hsu, L. T (2019).Perceived Environment Aided GNSS Single Point Positioning: An Example using LiDAR Scanner. Inside GNSS.
2018 (5)
patent
Wang, Y& Hsu, L. T (2018).Positioning method and electronic equipment (CN 111198389B). China National Intellectual Property Administration. https://patents.google.com/patent/CN111198389B
journal
Q2
Y., G., Hsu, L.T., & Kamijo, S. (2018).Towards lane-level traffic monitoring in urban environment using precise probe vehicle data derived from three-dimensional map aided differential GNSS. IATSS Research. https://doi.org/10.1016/j.iatssr.2018.03.001
journal
Q4
Huang, Y., Y., G., & Hsu, L. T. (2018).GNSS Correction using Altitude Map and Its Integration with Pedestrian Dead Reckoning. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science. https://doi.org/10.1587/transfun.e101.a.1245
journal
Q1
Hsu, L. T. (2018).Analysis and Modelling GPS NLOS effect in Highly Urbanized Area. GPS Solutions. https://doi.org/10.1007/s10291-017-0667-9
journal
Q1
Zhang, G.& Hsu, L. T. (2018).Intelligent GNSS/INS Integrated Navigation System for a Commercial UAV Flight Control System. Aerospace Science and Technology. https://doi.org/10.1016/j.ast.2018.07.026
2017 (3)
journal
unranked
Kubo, N., Kobayashi, K., Hsu, L.T., & Amai, O. (2017).Multipath Mitigation Technique under Strong Multipath Environment Using Multiple Antennas. Journal of Aeronautics, Astronautics and Aviation, Series A.
journal
Q1
Hsu, L.T., Y., G., & Kamijo, S. (2017).Intelligent Viaduct Recognition and Driving Altitude Determination using GPS Data. IEEE Transactions on Intelligent Vehicles. https://doi.org/10.1109/tiv.2017.2737325
journal
Q1
Hsu, L. T., Tokura, H., Kubo, N., Y., G., & Kamijo, S. (2017).Multiple Faulty GNSS Measurement Exclusion based on Consistency Check in Urban Canyons. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2017.2654359
2016 (5)
journal
Q3
Y., G., Hsu, L. T., Bao, J., & Kamijo, S. (2016).Integrating Global Navigation Satellite System and Road-Marking Detection for Vehicle Localization in Urban Traffic. Transportation Research Record Journal. https://doi.org/10.3141/2595-07
journal
Q1
Hsu, L. T., Y., G., & Kamijo, S. (2016).3D Building Model Pedestrian Positioning Method using GPS/GLONASS/QZSS and Its Reliability Calculation. GPS Solutions. https://doi.org/10.1007/s10291-015-0451-7
journal
Q1
Hsu, L. T., Y., G., Huang, Y., & Kamijo, S. (2016).Urban Pedestrian Navigation using Smartphone-based Dead Reckoning and 3D Maps Aided GNSS. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2015.2496621
journal
Q1
Wada, Y., Hsu, L. T., Y., G., & Kamijo, S. (2016).Optimization of 3D Building Models by GPS Measurements. GPS Solutions. https://doi.org/10.1007/s10291-015-0504-y
journal
Q1
Y., G., Hsu, L. T., & Kamijo, S. (2016).GNSS/On-Board Inertial Sensor Integration with the Aid of 3D Building Map for Lane-Level Vehicle Self-Localization in Urban Canyon. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2015.2497001
2015 (6)
journal
Q4
Hsu, L. T., Chen, F., & Kamijo, S. (2015).Evaluation of Multi-GNSSs and GPS with 3D Map Methods for Pedestrian Positioning in an Urban Canyon Environment. IEICE Transactions. https://doi.org/10.1587/transfun.e98.a.284
journal
Q1
Miura, S., Hsu, L. T., Chen, F., & Kamijo, S. (2015).GPS Error Correction with Pseudorange Evaluation Using 3-dimensional Maps. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2015.2432122
journal
Q2
Y., G., Hsu, L. T, & Kamijo, S. (2015).Passive Sensor Integration for Vehicle Self-Localization in Urban Traffic Environment. Sensors. https://doi.org/10.3390/s151229795
journal
Q2
Hsu, L. T., Y., G., & Kamijo, S. (2015).NLOS Correction/Exclusion for GNSS Measurement using RAIM and City Building Models. Sensors. https://doi.org/10.3390/s150717329
magazine
Hsu, L. T, Miura, S, & Kamijo, S (2015).Street Smart: 3-D City Mapping and Modeling for Positioning with Multi-GNSS. GPS World.
magazine
Kamijo, S, Y, G., & Hsu, L. T (2015).Autonomous Vehicle Technologies: Localization and Mapping. IEICE Fundamentals Review. https://doi.org/10.1587/essfr.9.2_131
2014 (1)
journal
Q1
Hsu, L. T., Jan, S. S., Groves, P. D., & Kubo, N. (2014).Multipath mitigation and NLOS detection using vector tracking in urban. GPS Solutions. https://doi.org/10.1007/s10291-014-0384-6
2013 (1)
journal
unranked
Hsu, L. T.& Jan, S. S. (2013).Performance Analysis of Advanced GPS Receiver Technique in Radio Frequency Difficult Environment. Journal of Aeronautics, Astronautics and Aviation, Series A.
2010 (1)
journal
unranked
Jan, S. S.& Hsu, L. T. (2010).Assessment of Composite PRN Code Acquisition Methods for GPS Signal. Journal of the Chinese Society of Mechanical Engineers.