Real-time edge detection of obstacles in range image by automatically thresholding the normalized range difference

This paper presents a new method for rapidly detecting obstacles in a spherical coordinate system using range images sensed by a Laser Imaging Range Sensor (LIRS). The algorithm that adaptively thresholds the normalized range differences is shown to give rapid and robust results for edge detection of obstacles in real outdoor range images, and is useful for obstacle detection in a mobile robot.