Realization of Cockpit Binocular Ranging System Based on JN-P08

Z. Xiaoping, Liao Yiling, Wu Jisen, Chen Guanghui, Zheng Lixing, Zhu Xingxin
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Abstract

Binocular ranging has broad application in the three-dimensional reconstruction, non-contact accurate quantitative measurement and dangerous scene perception. However, the traditional monocular ranging technology focuses on two-dimensional images, the measurement accuracy is poor. Moreover, laser ranging has radiation, radar ranging is susceptible to electromagnetic waves and has high cost, and poor ultrasonic ranging accuracy. Thus, this paper proposes a binocular ranging system based on the fusion of Matlab and OpenCV. Firstly, the feasibility of semi-global block matching(SGBM) and block Matching(BM) algorithms is verified by using the OpenCV. Secondly, it was transplanted to an embedded platform based on the industrial JN-P08, and the ranging results were obtained. In addition, the accuracy and speed comparison test shows that the SGBM algorithm is more suitable for scenarios with high accuracy requirements, while BM is more suitable for ranging in scenes with high speed requirements.
基于JN-P08的座舱双目测距系统的实现
双目测距在三维重建、非接触式精确定量测量和危险场景感知等方面有着广泛的应用。然而,传统的单目测距技术主要针对二维图像,测量精度较差。此外,激光测距有辐射,雷达测距易受电磁波影响且成本高,超声波测距精度差。因此,本文提出了一种基于Matlab和OpenCV融合的双目测距系统。首先,利用OpenCV验证了半全局块匹配(SGBM)和块匹配(BM)算法的可行性。其次,将其移植到基于工业JN-P08的嵌入式平台上,获得了测距结果;此外,精度和速度对比测试表明,SGBM算法更适用于精度要求高的场景,而BM更适合于速度要求高的场景测距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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