3 papers
cs.CV2025
TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather
Xiongwei Zhao, Congcong Wen, Xu Zhu +3
Adverse weather conditions such as snow, fog, and rain pose significant challenges to LiDAR-based perception models by introducing noise and corrupting point cloud measurements. To…
cs.RO2025
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…
cs.CV2025
ResLPR: A LiDAR Data Restoration Network and Benchmark for Robust Place Recognition Against Weather Corruptions
Wenqing Kuang, Xiongwei Zhao, Yehui Shen +4
LiDAR-based place recognition (LPR) is a key component for autonomous driving, and its resilience to environmental corruption is critical for safety in high-stakes applications. Wh…