Xiaowei Liu — accepted AI-conference papers

2026

Accurate Calibration and Robust LiDAR-Inertial Odometry for Spinning Actuated LiDAR Systems

Zijie Chen, Xiaowei Liu, Yong Xu, Shenghai Yuan, Jianping Li, Lihua Xie

RA-L 2026

Accurate calibration and robust localization are fundamental for downstream tasks in spinning actuated LiDAR applications. Existing methods, however, require parameterizing extrinsic parameters based on different mounting configurations, limiting their generalizability. Additionally, spinning actuat

Cited by 0 Source ↗code ↗Scholar ↗

2024

FDENet: Fusion Depth Semantics and Edge-Attention Information for Multispectral Pedestrian Detection

Xiaowei Liu, Xinying Xu, Jun Xie, Pengyue Li, Jiamin Wei, Yiyu Sang

RA-L 2024

In recent years, multispectral pedestrian detection as a multimodal solution, using visible light and thermal image multimodal information to solve pedestrian detection challenges in low light environments, plays a crucial role. However, most existing methods directly mix the results of the two moda

Cited by 12 Source ↗Scholar ↗