Nowadays, with the boosting incomes and rapid development of science, car has become one of the most important transport vehicle. Driving environment and safety has attracted much attention in the automotive design field. Therefore, it is extremely urgent to develop the intelligent and reliable safety technologies such as vehicle active collision warning system. There are lots of studies focused on the critical research of machine vision ranging technology, however, the installation error of binocular ranging may result in inaccurate measurement accuracy. In this study, we use an improved monocular ranging to measure distance. The traditional monocular ranging models based on the principle of pinhole imaging, static image ranging model and etc. Most of the models require specific prior information of the vehicle, the applicable conditions of the model may be too idealistic and not applicable to general situations. In order to solve the contradiction, our research proposes a creative monocular ranging model to measure the distance between two vehicles. The model is based on the camera space projection relationship taking the factors of the camera's pitch angle into account. Our model has universal application significance using the simple implementation method with residual method. Based on the model, we amended the camera's pitch angle after the experiments. Meanwhile, the accuracy of the model is guaranteed by analyzing the factors affecting the accuracy of the range. The experimental results show that the error is controlled within 10%, which can meet the accuracy requirements of the system.


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    Title :

    Monocular ranging system based on space geometry


    Contributors:
    Qian, Ye (author) / Chen, Qian (author) / Yang, Wenguang (author) / Wang, Fan (author) / Qian, Weixian (author) / Li, Zhixiu (author)

    Conference:

    Optics and Photonics for Information Processing XIII ; 2019 ; San Diego,California,United States


    Published in:

    Proc. SPIE ; 11136


    Publication date :

    2019-09-06





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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