Robot spatial perception by stereoscopic vision and 3D evidence grids

A new program that derives a dense three-dimensional evidence grid representation of a robot’s surroundings from wide-angle stereoscopic images seems abundantly adequate for very reliable navigation of freely roaming mobile robots, and plausibly adequate for shape identification of objects bigger than 10 centimeters.