Comparison of Distance Measurement Between Stereo Vision and Ultrasonic Sensor

Abstract

Problem statement: The traditional approaches in mobile robot research are the use of stereo vision systems to extract range information from pairs of images. One of the difficulties of techniques in navigation is that the intrinsic computational expense of extracting three dimensional information from stereo pairs of images. Approach: To compare performance sensor readings from environment between stereo vision and ultra sonic sensor. Results: The robot was tested by experiment that it runs with Markov localization algorithm in distance 5 m and records the robot’s distance information from stereo vision system and ultrasonic sensor. Conclusion: This study mainly described and compared distance measurement by stereo vision and ultrasonic sensor.