<title>Workstation recognition using a constrained edge-based Hough transform for mobile robot navigation</title>

Abstract

Landmark recognition is a task required of many robotic systems. In this work, we examine the use of a constrained Hough transform used by a mobile robot to locate a docking workstation. This algorithm deals with the uncertainty inherent in a mobile robot by making use of a spatial uncertainty map maintained by the robot. Several iterations of the Hough transform are run with transformed models of the dock. Votes are accumulated in a collapsed Hough space which, although unable to recover range and orientation information, simplifies locating the dock within the image.