I received the B.S degree in vehicle engineering from the Beijing Institute of Technology, Beijing, China, in 2020. I’m currently a Master student in Intelligent Vehicle Research Center at Beijing Institute of Technology. I am trying to apply machine learning methods to robotics and use multiple sensor data for enhanced perception capability of robots and intelligent vehicles.
SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data
Junyi Ma, Xieyuanli Chen, Jingyi Xu, Guangming Xiong*
IEEE Transactions on Industrial Electronics (TIE), 2022.
OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition
Junyi Ma, Jun Zhang, Jintao Xu, Rui Ai, Weihao Gu, and Xieyuanli Chen*
IEEE Robotics and Automation Letters (RA-L), 2022, and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles
Jingyi Xu, Zirui Li, Li Gao, Junyi Ma, Qi Liu, and Yanan Zhao*
IEEE Intelligent Vehicles Symposium (IV), 2022.
Semantic Segmentation Based Rain and Fog Filtering Only by LiDAR Point Clouds
Zhen Luo, Junyi Ma, Guangming Xiong*, Xiuzhong Hu, Zijie Zhou, Jiahui Xu
IEEE International Conference on Unmanned Systems (ICUS), 2022.
MUC-LOAM: Multi-uncertainty Captured Multi-robot Lidar Odometry and Mapping Framework for Large-scale Environments
Guangming Xiong*, Junyi Ma, Huilong Yu, Jingyi Xu, Jiahui Xu
Unmanned Systems (US).
Mutual Pose Recognition Based on Multiple Cues in Multi-robot Systems
Junyi Ma, Guangming Xiong*, Jingyi Xu, Jiarui Song, and Dong Sun
Best paper for IEEE International Conference on Unmanned Systems (ICUS), 2021.
The dataset was collected by a mobile robot built by HAOMO.AI Technology company equipped with a HESAI PandarXT 32-beam LiDAR sensor in urban environments of Beijing.
A toy dataset about mapping multiple cues to mutual poses of robots.
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