3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.RO2022★ 3 cited
RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map
Xuecheng Xu, Sha Lu, Jun Wu +5
Global localization plays a critical role in many robot applications. LiDAR-based global localization draws the community's focus with its robustness against illumination and seaso…
cs.RO2022
Translation Invariant Global Estimation of Heading Angle Using Sinogram of LiDAR Point Cloud
Xiaqing Ding, Xuecheng Xu, Sha Lu +6
Global point cloud registration is an essential module for localization, of which the main difficulty exists in estimating the rotation globally without initial value. With the aid…