LiDAR relocalization aims to estimate the global 6-DoF pose of a sensor in the environment. However, existing regression-based approaches often encounter limitations in dynamic or ambiguous scenarios, as they typically prioritize single-frame inference, leaving the potential of spatio-temporal consistency across scans...
Ming-Hang Zhu, Zhi-Jing Wang, Yu-Xin Guo et al.· 0 citations
Cross-view geo-localization (CVGL) aims at localizing a ground-level query by retrieving its corresponding match from a database of geo-tagged satellite images. Existing multi-modal CVGL methods lack a structured design in the fusion stage, limiting their ability to fully exploit the information from multiple modalitie...
Xu Yan, Xiao-Ran Zhang, Zi-Wei Shi et al.· Proceedings of the Thirty-Fi...· 0 citations
Unsupervised registration of large-scale LiDAR point clouds remains challenging due to the geometric ambiguity inherent in outdoor scenes, which degrades pseudo-label quality and leads to suboptimal convergence, particularly for sparse, low-resolution scans such as those from nuScenes. We reveal that registration model...
Kezheng Xiong, Shi-Yun Xu, Sheng Ao et al.· 0 citations
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