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David Thorne

2 accepted papers

2025

LiDAR Inertial Odometry and Mapping Using Learned Registration-Relevant Features

ICRA 2025

SLAM is an important capability for many autonomous systems, and modern LiDAR-based methods offer promising performance. However, for long duration missions, existing works that either take directly the full pointclouds or extracted features face key tradeoffs in accuracy and computational efficienc

Cited by 3SourceScholar
2025

Submodular Optimization for Keyframe Selection & Usage in SLAM

ICRA 2025

Keyframes are LiDAR scans saved for future reference in Simultaneous Localization And Mapping (SLAM), but despite their central importance most algorithms leave choices of which scans to save and how to use them to wasteful heuristics. This work proposes two novel keyframe selection strategies for l

Cited by 6SourceScholar