7 papers
OMUDA: Omni-level Masking for Unsupervised Domain Adaptation in Semantic Segmentation
Yang Ou, Xiongwei Zhao, Xinye Yang +5
Unsupervised domain adaptation (UDA) enables semantic segmentation models to generalize from a labeled source domain to an unlabeled target domain. However, existing UDA methods st…
V2X-RECT: An Efficient V2X Trajectory Prediction Framework via Redundant Interaction Filtering and Tracking Error Correction
Xiangyan Kong, Xuecheng Wu, Xiongwei Zhao +7
V2X prediction can alleviate perception incompleteness caused by limited line of sight through fusing trajectory data from infrastructure and vehicles, which is crucial to traffic…
A Robust Cooperative Vehicle Coordination Framework for Intersection Crossing
Haojie Bai, Jiping Luo, Huafu Li +2
Cooperative vehicle coordination at unsignalized intersections has garnered significant interest from both academia and industry in recent years, highlighting its notable advantage…
An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather
Xiongwei Zhao, Xieyuanli Chen, Xu Zhu +5
LiDAR place recognition (LPR) plays a vital role in autonomous navigation. However, existing LPR methods struggle to maintain robustness under adverse weather conditions such as ra…
UGNA-VPR: A Novel Training Paradigm for Visual Place Recognition Based on Uncertainty-Guided NeRF Augmentation
Yehui Shen, Lei Zhang, Qingqiu Li +4
Visual place recognition (VPR) is crucial for robots to identify previously visited locations, playing an important role in autonomous navigation in both indoor and outdoor environ…
DART: Dual-level Autonomous Robotic Topology for Efficient Exploration in Unknown Environments
Qiming Wang, Yulong Gao, Yang Wang +3
Conventional algorithms in autonomous exploration face challenges due to their inability to accurately and efficiently identify the spatial distribution of convex regions in the re…