Penggao Yan

Penggao Yan

PhD candidate in HK PolyU, working on navigation integrity

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portfolio

ION ITM 2023

Published:

Attend ION ITM 2023 (24-27 April 2023, Long Beach, CA)

IEEE/ION PLANS 2023

Published:

Attend IEEE/ION PLANS 2023 (24-27 April 2023, Monterey, CA)

ION ITM 2024

Published:

Invited Paper at ION ITM 2024 (22-25 Jan 2024, Long Beach, CA)

Pacific PNT 2024

Published:

Attend Pacific PNT 2024 (16-18 April 2024, Honolulu, Hawaii)

ION GNSS+ 2024 Best Student Paper Award

Published:

Won the “ION GNSS+ Student Paper Award” in the 37th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2024)

publications

Integration of Vehicle Dynamic Model and System Identified Model for Navigation in Autonomous Mobile Robots

Published in International Technical Meeting 2023, 2023

Sensor-free localization udner extreme conditions

Recommended citation: Yan, P., Hsu, L. T., & Wen, W. (2023, January). "Integration of Vehicle Dynamic Model and System Identified Model for Navigation in Autonomous Mobile Robots". In Proceedings of the 2023 International Technical Meeting of The Institute of Navigation (pp. 153-160).
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Extending Navigation Service under Sensor Failures: An Approach by Integrating System Identification and Vehicle Dynamic Model

Published in 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2023

Introduce the online system identification

Recommended citation: Yan, P., Hsu, L. T., & Wen, W. (2023). "Extending Navigation Service under Sensor Failures: An Approach by Integrating System Identification and Vehicle Dynamic Model". In 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) (pp. 630-636). IEEE.
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Integration of Vehicle Dynamic Model and System Identification Model for Extending the Navigation Service Under Sensor Failures

Published in IEEE Transactions on Intelligent Vehicles, 2023

Integration of system identification and vehicle dynamic models

Recommended citation: Yan, P., Wen, W., & Hsu, L. T. (2023). "Integration of Vehicle Dynamic Model and System Identification Model for Extending the Navigation Service Under Sensor Failures". IEEE Transactions on Intelligent Vehicles, 9(1), 2236-2248, https://doi.org/10.1109/TIV.2023.3273185
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A Fault Detection Algorithm for LiDAR/IMU Integrated Localization Systems with Non-Gaussian Noises

Published in International Technical Meeting 2024, 2024

Detecting faulty measurements in EKF-based LiDAR/IMU integrated localization systems under non-Gaussian nominal error

Recommended citation: Yan, P., Wen, W., Huang, F., & Hsu, L. T. (2024). "A Fault Detection Algorithm for LiDAR/IMU Integrated Localization Systems with Non-Gaussian Noises". In Proceedings of the 2024 International Technical Meeting of The Institute of Navigation (pp. 561-574).
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Subspace-based Adaptive GMM Error Modeling for Fault-Aware Vehicular GNSS Positioning in Urban Canyons

Published in IEEE Transactions on Intelligent Vehicles, 2024

Simultaneous adaptive error modeling and fault detection and exclusion

Recommended citation: Yan, P., Xia, X., Brizzi, M., Wen, W., & Hsu, L. T. (2024). "Subspace-based Adaptive GMM Error Modeling for Fault-Aware Pseudorange-based Positioning in Urban Canyons". IEEE Transactions on Intelligent Vehicles, http://dx.doi.org/10.1109/TIV.2024.3450198
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Principal Gaussian Overbound for Heavy-tailed Error Bounding

Published in IEEE Transactions on Aerospace and Electronic Systems, 2024

A conservative yet sharp non-Gaussian overbound for heavy-tailed error distributions

Recommended citation: Yan, P., Zhong, Y., & Hsu, L. T. (2024). "Principal Gaussian Overbound for Heavy-tailed Error Bounding". IEEE Transactions on Aerospace and Electronic Systems, 61(1), 829-852, http://dx.doi.org/10.1109/TAES.2024.3448405
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Fault Detection Algorithm for Gaussian Mixture Noises:An Application in LiDAR/IMU Integrated Localization System

Published in NAVIGATION: Journal of the Institute of Navigation, 2024

Recommended citation: Yan, P., Li, Z., Huang, F., Wen, W., & Hsu, L. T. (2024). "Fault Detection Algorithm for Gaussian Mixture Noises: An Application in LiDAR/IMU Integrated Localization Systems". NAVIGATION: Journal of the Institute of Navigation, 72(1), https://doi.org/10.33012/navi.684
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Multiple Faults Isolation For Multi-Constellation GNSS Positioning through Incremental Expansion of Consistent Measurements

Published in IEEE Sensors Journal, 2024

An expanding approach to detect and isolate multiple faulty measurements in pseudorange-based positioning systems

Recommended citation: 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, 25(4), https://doi.org/10.1109/JSEN.2024.3524434
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.