Thanks, been trying to look into AI tools to generate point clouds from photos for a hobby robot. Crazy that a mediocre LIDAR costs more than every other part of the robot combined, maybe times 10.
Its not AI, but it is simple and you can re-use a point cloud to re-localise against (ie once the map has been generated you can just localise rather than have to map the same time.)
Some places use ML to make a more robust descriptor (ie the thing that identifies the point in a point cloud) which mostly practical. I've not yet seen a practical "deep" SLAM pipeline. (but I'd not looked recently. )
https://github.com/leggedrobotics/open3d_slam
Its not AI, but it is simple and you can re-use a point cloud to re-localise against (ie once the map has been generated you can just localise rather than have to map the same time.)
Some places use ML to make a more robust descriptor (ie the thing that identifies the point in a point cloud) which mostly practical. I've not yet seen a practical "deep" SLAM pipeline. (but I'd not looked recently. )