Kan Luo — accepted AI-conference papers

2025

MRMT-PR: A Multi-Scale Reverse-View Mamba-Transformer for LiDAR Place Recognition

Kan Luo, Jingwen Wang, Hongshan Yu, Yaonan Wang, Javier Civera, Xieyuanli Chen

IROS 2025

Place recognition is a fundamental technology of high relevance for autonomous robot navigation. Existing methods encounter significant challenges arising from scene variations (e.g., illumination changes, dynamic objects), view-point shifts, and difficulties in data fusion and alignment. These fact

Cited by 1 Source ↗Scholar ↗

2025

RID-Net: A Hybrid MLP-Transformer Network for Robust Point Cloud Registration

Panfei Cheng, Hongshan Yu, Changxiang Liu, Kan Luo, Naveed Akhtar, Xieyuanli Chen

RA-L 2025

The robustness of correspondence-based point cloud registration relies on transformation invariance and intrinsic distinctiveness of the descriptors computed for registration. However, for challenging scenarios with different objects having similar local geometry and low point cloud overlap, existin

Cited by 0 Source ↗Scholar ↗