Detection of vehicle driving environments is necessary to secure transport facilities safe from accidents and to keep the performance smooth. Road condition is one of the most important factors toward the detection of vehicle driving environments. Conventional road condition discrimination methods involved the use of optical or ultrasonic sensors. However, since these sensors could only provide spot information, detected results do not always reflect the spacious condition. To deal with this problem, a new algorithm that employs image analysis technology for discrimination of the road condition is proposed in this paper. In this algorithm, for discrimination of the road condition, we focused on features related to water and snow on the road and we extracted these features by image analysis. Features related to water were extracted by the ratio of horizontal polarization image intensity to vertical polarization image intensity for each pixel. Features related to snow were extracted by texture analysis using the co-occurrence matrix. We employ a multivariate analysis to discriminate five kinds of the road conditions.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Discrimination of the road condition toward understanding of vehicle driving environments


    Contributors:
    Yamada, M. (author) / Ueda, K. (author) / Horiba, I. (author) / Sugie, N. (author)


    Publication date :

    1999


    Size :

    5 Seiten, 7 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





    Discrimination of the Road Condition toward Understanding of Vehicle Driving Environments

    Yamada, M. / Ueda, K. / Horiba, I. et al. | British Library Conference Proceedings | 1999


    Discrimination of the Road Condition Toward Understanding of Vehicle Driving Environments

    Yamada, M. / Ueda, K. / Horiba, I. et al. | British Library Online Contents | 2001



    Vehicle automatic driving method for congested road condition and automatic driving vehicle

    CAI JINKANG / ZHAO RUI / DENG WEIWEN et al. | European Patent Office | 2021

    Free access