Welcome to My Academic Page

Haiming Gao (高海明）

Biography

I received the B.S. degree in mechanical engineering and automation from Hohai University in 2015, and the Ph.D. degree in control science and engineering from the Institute of Robotics and Automatic Information System, Nankai University in 2020, supervised by Prof. Xuebo Zhang. My research interest includes localization and mapping for mobile robots.

From July 2020 to July 2021, I worked as a Senior Algorithm Engineer in IAS BU (Huawei Intelligent Automotive Solution), with research interests include freespace extraction, APA(Auto Parking Asist) and AVP(Automated Valet Parking). I am currently a Research Fellow with Zhejiang Lab, and my research interests include localization and perception for intelligent vehicles and mobile robots.

Selected Grants

• 2024.01-2026.12, Self-organizing Spatio-temporal Scene Graph Construction Towards Global Localization of Mobile Robots under Dynamic and Ambiguous Environments, 62303428, PI, National Natural Science Foundation of China.

Selected Publications

• [1] H. Gao, Q. Qiu, W. Hua*, X. Zhang, Z. Su, S. Zhang, CVR-LSE: Compact vectorized representation of local static environments for reliable obstacle detection. IEEE Trans. on Industrial Electronics, 2024, 71(8): 9309-9318. [paper] [code]
• [2] H. Gao, X. Zhang*, J. Yuan, and Y. Fang. NEGL: Lightweight and efficient neighborhood encoding-based global localization for unmanned ground vehicles, IEEE Trans.on Vehicular Technology, 2023, 72(6): 7111 - 7122. [paper]
• [3] H. Gao, X. Zhang*, J. Yuan, J. Song, and Y. Fang. A novel global localization approach based on structural unit encoding and multiple hypothesis tracking, IEEE Trans. on Instrumentation and Measurement, 2019, 68(11): 4427-4442. [paper] [video]
• [4] H. Gao, X. Zhang*, J. Wen, J. Yuan, and Y. Fang. Autonomous indoor exploration via polygon map construction and graph-based SLAM using directional endpoint features, IEEE Trans. on Automation Science and Engineering, 2019, 16(4): 1531-1542. [paper] [video]
• [5] H. Gao, X. Zhang*, Y. Fang, and J. Yuan. A line segment extraction algorithm using laser data based on seeded region growing, Int. Journal of Advanced Robotic Systems, 2018, 15(1): 1-10. [paper] [code] [video]
• [6] Q. Qiu, W. Wang, H. Ying, D. Liang, H. Gao*, and X. He. Stacked Asymmetric Convolution and Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition. Knowledge-Based Systems, Accepted, 2024. [paper]
• [7] H. Gao, X. Zhang*, C. Li, X. Chen, Y. Fang, and X. Chen. Directional endpoint-based enhanced EKF-SLAM for indoor mobile robots, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 978-983, 2019. [paper] [navigation demo]
• [8] H. Gao, Q. Qiu, S Zhang, W. Hua*, Z. Su, and X. Zhang. MPC-MF: Multi-point cloud map fusion based on offline global optimization for mobile robots, 2023 Chinese Control Conference (CCC), pp. 4237-4242, 2023. [paper]
• [9] Q. Qiu, H. Gao, W. Hua, G. Huang, and X. He. PriorLane: A prior knowledge enhanced lane detection approach based on transformer, IEEE International Conference on Robotics and Automation (ICRA), pp. 5618-5624, 2023. [paper] [code]
• [10] J. Wen, X. Zhang*, H. Gao, J. Yuan, and Y. Fang. E³MoP: Efficient motion planning based on heuristic-guided motion primitives pruning and path optimization with sparse-banded structure, IEEE Trans. on Automation Science and Engineering, 2022, 19(4): 2762-2775. [paper]
• [11] C. Li, X. Zhang*, H. Gao, R. Wang, and Y. Fang. Bridging the gap between visual servoing and visual SLAM: A novel integrated interactive framework, IEEE Trans. on Automation Science and Engineering, 2022, 19(3): 2245-2255. [paper]
• [12] J. Wen, X. Zhang*, H. Gao, J. Yuan, and Y. Fang. CAE-RLSM: Consistent and efficient redundant line segment merging for online feature map building, IEEE Trans. on Instrumentation and Measurement, 2020, 69(7): 4222-4237. [paper]
• [13] 周光召,苑晶*,高海明,孙沁璇,张雪波,俞诗卓.结构化环境下基于结构单元软编码的3维激光雷达点云描述子[J].机器人,2020,42(06):641-650. [论文]
• [14] H Liu, H. Gao*, J. Shi, C. Xu, D. Qu, and W. Hua. APMC-LOM: Accurate 3D LiDAR Odometry and Mapping based on Pyramid Warm-Up Registration and Multi-Constraint Optimization. IEEE Transactions on Vehicular Technology, Major Revisions, 2023.
• [15] J. Song, H. Gao, X. Zhang*, W. Lin, and J. Liu. A global localization algorithm for mobile robots based on grid submaps, IEEE International Conference on Advanced Robotics and Mechatronics, pp. 201-206, 2018. (Best Conference Paper Finalist) [paper]
• [16] J. Wen, X. Zhang*, H. Gao, J. Yuan, and Y. Fang. A novel 2D laser scan matching algorithm for mobile robots based on hybrid features, IEEE International Conference on Real-time Computing and Robotics, pp. 366-371, 2018. (Finalist for the Best Paper Award) [paper]
• [17] J. Wang, X. Zhang*, H. Gao, and Y. Fang. Time-optimal motion planning for a nonholonomic mobile robot on a barcode map, IEEE International Conference on Robotics and Biomimetics, pp. 215-220, 2017. [paper]
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Awards

• 2020.06, Outstanding graduate award, Nankai University

• 2019.10, Merit Student award, Nankai University

• 2019.05, best poster award, The First Artificial Intelligence Conference and Entrepreneurs Summit Forum of Chinese Optics Valley, Wuhan, China

• 2018.08, Finalist for the Best Paper Award, IEEE RCAR, Maldives, Aug. 2018

• 2018.07, Best Conference Paper Finalist, IEEE ARM, Singapore, July 2018

• 2015.06, Outstanding graduate award, Hohai University

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Reviewer

• IEEE Transactions on Automation Science and Engineering

• IEEE/ASME Transactions on Mechatronics

• IEEE Transactions on Industrial Informatics

• IEEE Transactions on Instrumentation and Measurement

• IEEE Robotics and Automation Letters

• IEEE Transactions on Intelligent Vehicles

• IEEE Transactions on Intelligent Transportation Systems

• IEEE Sensors Journal

• International Journal of Advanced Robotic Systems

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