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Why Sample Space Matters: Keyframe Sampling Optimization for LiDAR-based Place Recognition

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opt-key

Available Upon Acceptance

Video Presentation

Related Publications:

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)

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Contact at [email protected]

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