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Xubin Lin

3 accepted papers

2025

P2d-DO: Degeneracy Optimization for LiDAR SLAM With Point-to-Distribution Detection Factors

RA-L 2025

Although the LiDAR SLAM technique has been already widely deployed on various robots, it may still suffers from degeneracy caused by inadequate constraints in scenes with sparse geometric features. If the degeneracy is not detected and properly processed, the accuracy of localization and mapping wil

Cited by 11SourceScholar
2022

NDD: A 3D Point Cloud Descriptor Based on Normal Distribution for Loop Closure Detection

IROS 2022poster

Loop closure detection is a key technology for long-term robot navigation in complex environments. In this paper, we present a global descriptor, named Normal Distribution Descriptor (NDD), for 3D point cloud loop closure detection. The descriptor encodes both the probability density score and entro…

Cited by 14SourcecodeScholar
2021

Robust Improvement in 3D Object Landmark Inference for Semantic Mapping

ICRA 2021poster

Recent works on semantic Simultaneous Localization and Mapping (SLAM) utilizing object landmarks have shown superiority in terms of robustness and accuracy in tracking and localization. 3D object landmarks represented by a cubic or quadric surface are inferred from 2D object bounding boxes which are…

Cited by 4SourceScholar