[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.
Evaluate the quality of point cloud maps in SLAM systems for better navigation accuracy.
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Free · no card · unsubscribe anytime[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.
Cloud_Map_Evaluation has 478 stars on GitHub. It has been forked 40 times. Cloud_Map_Evaluation is written mainly in C++. It has been in active development since 2022. Its main topics are evaluation-metrics, lidar-point-cloud, map-evaluation, open3d.
[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.
Cloud_Map_Evaluation is an open-source project.
Yes. Cloud_Map_Evaluation is free and open source — you can use, modify and self-host it.
Cloud_Map_Evaluation is written mainly in C++.
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