The content delves into the evaluation and deployment of LiDAR-based place recognition systems in dense forest environments. It covers the analysis of four different LiDAR place recognition models, the methodology used for evaluation, and the results obtained from various operational modes such as online SLAM, offline multi-mission SLAM map merging, and relocalization into a prior map. The study highlights the challenges faced in natural environments like forests, the importance of robust place recognition systems, and the potential applications for forestry or biodiversity monitoring. Detailed experiments, findings, and insights are provided to showcase the effectiveness of LiDAR technology in dense forest settings.
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arxiv.org
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by Haed... : arxiv.org 03-22-2024
https://arxiv.org/pdf/2403.14326.pdfDaha Derin Sorular