A Stereo Matching Algorithm for Vehicle Binocular System

Fangyi Zhang; Gang Zhao; Haiying Liu; Wang Qin

Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Research Article

A Stereo Matching Algorithm for Vehicle Binocular System

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@INPROCEEDINGS{10.1007/978-3-030-19086-6_57,
    author={Fangyi Zhang and Gang Zhao and Haiying Liu and Wang Qin},
    title={A Stereo Matching Algorithm for Vehicle Binocular System},
    proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings},
    proceedings_a={ADHIP},
    year={2019},
    month={5},
    keywords={Binocular system Stereo matching Robustness Matching accuracy Calculation efficiency},
    doi={10.1007/978-3-030-19086-6_57}
}

Fangyi Zhang
Gang Zhao
Haiying Liu
Wang Qin
Year: 2019
A Stereo Matching Algorithm for Vehicle Binocular System
ADHIP
Springer
DOI: 10.1007/978-3-030-19086-6_57

Fangyi Zhang¹, Gang Zhao¹^,*, Haiying Liu¹, Wang Qin¹

1: Shandong University of Science and Technology

*Contact email: 479943377@qq.com

Abstract

In order to improve outdoor performance of vehicle binocular system, the stereo matching algorithm based on “3bit-Census Transformation & An Adaptive window aggregation based on edge truncation & Fast Parallax Calculation” was proposed. The stereo matching algorithm based on this framework improved the robustness, matching accuracy and efficiency of the calculation from different stages. The experimental results show that the algorithm proposed in this paper is better than the traditional algorithm and can meet the requirements of the vehicle binocular system.

Keywords: Binocular system Stereo matching Robustness Matching accuracy Calculation efficiency

Published: 2019-05-13
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-19086-6_57