[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.

evaluation-metrics lidar-point-cloud map-evaluation open3d pointcloud-registration robotics slam slam-benchmarcking wasserstein-distance
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Robotics SLAM Evaluation
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AI Summary: The task is to determine appropriate metrics from the provided MapEval framework to evaluate the global and local consistency of a point cloud map generated without ground truth data, and to assess the feasibility of using MapEval to optimize the calibration parameters of the sensor setup.

Complexity: 4/5
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[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.

C++
#evaluation-metrics#lidar-point-cloud#map-evaluation#open3d#pointcloud-registration#robotics#slam#slam-benchmarcking#wasserstein-distance