Optimization of long-distance obstacle measurement system by using binocular stereo vision method

Jun Luo; Hang Yang; Yongbo Xuan; Bi Wu

doi:10.1117/12.2616370

22 July 2022 Optimization of long-distance obstacle measurement system by using binocular stereo vision method

Jun Luo, Hang Yang, Yongbo Xuan, Bi Wu

Proceedings Volume 12277, 2021 International Conference on Optical Instruments and Technology: Optical Systems, Optoelectronic Instruments, Novel Display, and Imaging Technology; 122770W (2022) https://doi.org/10.1117/12.2616370
Event: 2021 International Conference on Optical Instruments and Technology, 2022, Online Only

Abstract

Long-distance measurement systems are widely used in vehicle ranging, obstacle avoidance, virtual reality and other fields. This paper proposes a fast and effective binocular stereo vision model method to improve the accuracy of long-distance measurement systems. We explored the experimental constraints of Zhang Zhengyou's calibration method, combined with the epi-polar correction method for image matching, improved ranging model based on binocular parallax, to attain accurate measurement results. We performed on obstacles within 100 meters to verify the effectiveness of the system. Using the method in this paper, the relative error within the overall ranging range is less than 10%，where the measurement error is less than 3% (distance: <60m) and less than 8% (distance: 60m~80m). The results show that ranging error is relatively smaller in the optimal calibrated sampling space. Our work has effectively improved the accuracy of longdistance measurement, which is expected to realize obstacle measurement at a low cost, improving the environmental perception ability based on passive ranging.

Citation Download Citation

Jun Luo, Hang Yang, Yongbo Xuan, and Bi Wu "Optimization of long-distance obstacle measurement system by using binocular stereo vision method", Proc. SPIE 12277, 2021 International Conference on Optical Instruments and Technology: Optical Systems, Optoelectronic Instruments, Novel Display, and Imaging Technology, 122770W (22 July 2022); https://doi.org/10.1117/12.2616370

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