A novel visual landmark matching for a biologically inspired homing
This paper presents a homing algorithm for an autonomous robot that uses only visual information. An image grabbed at the target position is compared with the perceived one to determine the position of the robot and its target. Visual landmarks are extracted autonomously from the images and a correlation criterion, based on a novel visual landmark descriptor equalization, is presented.
visual landmark homing mellin transform robot navigation