2 citations · 4 across the 10 of their papers we have counts for
6 papers · 1 filter
RINO: Accurate, Robust Radar-Inertial Odometry with Non-Iterative Estimation
Shuocheng Yang, Yueming Cao, Shengbo Eben Li +2
Odometry in adverse weather conditions, such as fog, rain, and snow, presents significant challenges, as traditional vision and LiDAR-based methods often suffer from degraded perfo…
DenserRadar: A 4D millimeter-wave radar point cloud detector based on dense LiDAR point clouds
Zeyu Han, Junkai Jiang, Xiaokang Ding +4
The 4D millimeter-wave (mmWave) radar, with its robustness in extreme environments, extensive detection range, and capabilities for measuring velocity and elevation, has demonstrat…
CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning
Yibin Yang, Shaobing Xu, Xintao Yan +3
This paper presents an efficient algorithm, naming Centralized Searching and Decentralized Optimization (CSDO), to find feasible solution for large-scale Multi-Vehicle Trajectory P…
PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network
Yuning Wang, Zhiyuan Liu, Haotian Lin +3
Scene understanding, defined as learning, extraction, and representation of interactions among traffic elements, is one of the critical challenges toward high-level autonomous driv…
MergeOcc: Bridge the Domain Gap between Different LiDARs for Robust Occupancy Prediction
Zikun Xu, Jianqiang Wang, Shaobing Xu
LiDAR-based 3D occupancy prediction evolved rapidly alongside the emergence of large datasets. Nevertheless, the potential of existing diverse datasets remains underutilized as the…
A Risk-aware Planning Framework of UGVs in Off-Road Environment
Junkai Jiang, Zhenhua Hu, Zihan Xie +7
Planning module is an essential component of intelligent vehicle study. In this paper, we address the risk-aware planning problem of UGVs through a global-local planning framework…