Assisted and autonomous driving technologies are gaining popularity. A key component of autonomous driving technology is affected by the measurement of the distance in front of the vehicle. Distance prediction using monocular cameras is an efficient and low-cost ranging method. There are some limitations to existing monocular camera-based vehicle distance estimation methods. If known object features are used as the calculation standard, the calibration information is easily lost in real-world road conditions. In this paper, we proposed a method for estimating vehicle distances based on vehicle pose estimation and RGB images based on known vehicle metrics without using external references. This method estimates the distance of the vehicle by using the vehicle's characteristics as the calibration value. Good results are obtained after testing on the KITTI dataset.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Monocular Camera Ranging based on Vehicle Attitude Estimation


    Contributors:
    Li, Bo (author) / Song, Zhi (author) / Guo, Xiaoliang (author)


    Publication date :

    2022-12-01


    Size :

    925410 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    MONOCULAR VISION RANGING METHOD, STORAGE MEDIUM, AND MONOCULAR CAMERA

    MIYAHARA SHUNJI | European Patent Office | 2022

    Free access

    Accurate and Robust Attitude Estimation Using MEMS Gyroscopes and a Monocular Camera

    Kobori, N. / Deguchi, D. / Takahashi, T. et al. | British Library Online Contents | 2011


    Distance estimation and vehicle position detection based on monocular camera

    Ali, Abduladhem Abdulkareem / Hussein, Hussein Alaa | IEEE | 2016


    Vehicle Depth Estimation Based on Monocular Camera in Extreme Weather

    Qi, Chunyang / Lv, Hengxv / Mu, Guobao et al. | IEEE | 2022