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.
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
Junyi Ma#, Xieyuanli Chen#, Jiawei Huang, Jingyi Xu, Zhen Luo, Jintao Xu, Weihao Gu, Rui Ai, Hesheng Wang*
arXiv preprint arXiv:2311.17663, 2023.
[PDF] [Code]
LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition
Zijie Zhou, Jingyi Xu, Guangming Xiong, Junyi Ma*
arXiv preprint arXiv:2311.03198, 2023.
[PDF] [Code]
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving Environments
Xiuzhong Hu, Guangming Xiong, Zheng Zang, Peng Jia, Yuxuan Han, Junyi Ma
arXiv preprint arXiv:2310.00874, 2023.
[PDF] [Code]
CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data
Junyi Ma, Guangming Xiong, Jingyi Xu, Xieyuanli Chen*
IEEE Transactions on Industrial Informatics (TII), 2023.
[PDF] [Code]
PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction Mentorship
Zhen Luo, Junyi Ma, Zijie Zhou, Guangming Xiong
IEEE Robotics and Automation Letters (RA-L), 2023.
[PDF] [Code]
A Non-Uniform Quadtree Map Building Method Including Dead-End Semantics Extraction
Xiuzhong Hu, Guangming Xiong*, Junyi Ma, Gege Cui, Quanfu Yu, Shihao Li, Zijie Zhou
Green Energy and Intelligent Transportation (GEIT), 2023.
[PDF] [Code]
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.
[PDF] [Code]
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.
[PDF] [Code]
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.
[PDF] [Code]
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.
[PDF] [Code]
MUC-LOAM: Multi-uncertainty Captured Multi-robot Lidar Odometry and Mapping Framework for Large-scale Environments Supervisor First
Guangming Xiong*, Junyi Ma, Huilong Yu, Jingyi Xu, Jiahui Xu
Unmanned Systems (US).
[PDF] [Code]
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.
[PDF] [Code]
Cooperative Control and Autonomous Driving System for Multi-Robot in the No Man’s Land
Junyi Ma, Jingyi Xu, Quanfu Yu, Jiarui Song
International Conference on Computer Engineering and Intelligent Control (ICCEIC), 2020.
[PDF] [Code]
Haomo Dataset
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.
[Description]
Cues-Poses Dataset
A toy dataset about mapping multiple cues to mutual poses of robots.
[Description]
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