Abstract
An obstacle-avoidance algorithm is presented for autonomous mobile robots equipped with a CCD camera and ultrasonic sensors. This approach uses segmentation techniques to segregate the floor from other fixtures, and measurement techniques to measure the distance between the mobile robot and any obstacles. It uses a simple computation for the selection of a threshold value. This approach also uses a cost function, which is combined with image information, distance information, and a weight factor, to find an obstacle-free path. This algorithm, which uses a CCD camera and ultrasonic sensors, can be used for cases including shadow regions, and obstacles in visual navigation and in various lighting conditions.
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Choi, S., Jin, T. & Lee, J. Obstacle avoidance algorithm for visual navigation using ultrasonic sensors and a CCD camera. Artif Life Robotics 7, 132–135 (2003). https://doi.org/10.1007/BF02481161
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DOI: https://doi.org/10.1007/BF02481161