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.
Highlights
Stereo vision produces a doubling of the processing time in comparison to a monocular visual apparatus, because two images must be analyzed
Stereo vision is based on the human visual apparatus that uses two eyes to gain depth information (Vasil’ev, 1995)
First we must make sure that stereo images can be obtained from one camera by rotation, this can be ensured in case the rotation center is not the focus point
Summary
Stereo vision produces a doubling of the processing time in comparison to a monocular visual apparatus, because two images must be analyzed. Every camera can be represented in a software program by one object running as a thread. Stereo vision is based on the human visual apparatus that uses two eyes to gain depth information (Vasil’ev, 1995).
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