Rongchuan Wang — accepted AI-conference papers

2024

Risk-Inspired Aerial Active Exploration for Enhancing Autonomous Driving of UGV in Unknown Off-Road Environments

Rongchuan Wang, Mengyin Fu, Jing Yu, Yi Yang, Wenjie Song

ICRA 2024poster

Unknown area exploration is a crucial but challenging task for autonomous driving of unmanned ground vehicles (UGV) in unknown off-road environments. However, the exploration efficiency of a single UGV is low due to its limited sensing range. To solve this problem, this paper proposes a risk-inspire…

Cited by 1 Source ↗Scholar ↗

2024

Self-supervised Monocular Depth Estimation in Challenging Environments Based on Illumination Compensation PoseNet

Shengyu Hou, Wenjie Song, Rongchuan Wang, Meiling Wang, Yi Yang, Mengyin Fu

IROS 2024poster

Self-supervised depth estimation has attracted much attention due to its ability to improve the 3D perception capabilities of unmanned systems. However, existing unsupervised frameworks rely on the assumption of photometric consistency, which may not hold in challenging environments such as night-ti…

Cited by 0 Source ↗Scholar ↗