Yuenan Zhao

2 accepted papers

2025

ALVO: Adaptive Learning with Velocity Obstacles for UGV Navigation in Dynamic Scenes

Yinduo Xie, Yuenan Zhao, Ran Song, Zhiheng Li, Lei Han, Wei Zhang

IROS 2025

Autonomous navigation of unmanned ground vehicles (UGVs) in dynamic scenes is a challenging task that requires them to avoid obstacles and move toward the goal simultaneously. This paper proposes ALVO, an adaptive learning policy that leverages velocity obstacles for UGV navigation. ALVO employs an

Cited by 1 Source ↗Scholar ↗

2025

VCADNet: Vision-based Circular Accessible Depth Prediction for UGV Perception

Tao Zhang, Yuenan Zhao, Xiaoyu Xu, Ran Song, Lei Han, Wei Zhang

IROS 2025

Circular accessible depth (CAD) provides a lightweight and robust traversability representation for autonomous navigation of unmanned ground vehicles (UGV). Aiming at the limitations of existing LiDAR-based methods in detecting low-thickness targets and executing semantic reasoning, we propose VCADN

Cited by 0 Source ↗Scholar ↗