Available Upon Acceptance
This repository will provide the code implementation of the proposed keyframe sampling method as well as demonstration files of the following publications:
Why Sample Space Matters: Keyframe Sampling Optimization for LiDAR-based Place Recognition
(Submitted, available at arXiv)
Does Sample Space Matter? Preliminary Results on Keyframe Sampling Optimization for LiDAR-based Place Recognition
(Best Paper Award at IROS 2024 Standing the Test of Time Workshop: Retrospective and Future of World Representations for Lifelong Robotics)
A Minimal Subset Approach for Efficient and Scalable Loop Closure
(Submitted to ICRA 2025)
Contact at niksta@ltu.se