2 papers
cs.CV2026
SOAR: Regression-based LiDAR Relocalization for UAVs
Hengyu Mu, Jianshi Wu, Yuxin Guo +5
Regression-based LiDAR relocalization has recently emerged as a promising solution for high-precision positioning in GNSS-denied environments. However, these methods are primarily…
cs.CV2026
From Single Scan to Sequential Consistency: A New Paradigm for LIDAR Relocalization
Minghang Zhu, Zhijing Wang, Yuxin Guo +3
LiDAR relocalization aims to estimate the global 6-DoF pose of a sensor in the environment. However, existing regression-based approaches are prone to dynamic or ambiguous scenario…