![]() ![]() Only problem with this is that I have to assume that the two maps are the same scale, and also in the same orientation. I could compare two maps and iterate over each cell to compare my result to a ground truth, counting the True and False Positives and Negatives. So I did more research and another route I could go is Matthew's Correlation Coefficient ( MCC). Surely there is a better/more accurate way? simplemap file format, and then run MRPT's grid matching program on the two files. This would require me to send both 3d maps as a message to the octomap_server node in ROS, get the resulting map in Rviz, save the image 2D image of each separately, and then somehow convert the images to MRPT's. One method I have thought about using is MRPT's occupancy grid matching application One map may be less dense than the other.The two maps may not be the same scale.How do I compare the accuracy of my map to the ground truth map in a qualitative and quantitative way? I have a SLAM system that produces a 3D OGM (in. I would like to know how to go about evaluating 3D occupancy grid maps. ![]()
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