Comprehensive situational awareness is paramount to the effectiveness of advanced driver assistance systems (ADASs) used in daily urban traffic, particularly for the unmarked roads, which cannot fulfill the requirements of conventional ADAS systems. This paper proposed a stereovision-based multimodal ADAS system designed for expanding the usability of ADAS functions, including lane-keeping assist, adaptive cruise control, and precrash system, to normal urban scenarios with unmarked roads. At first, the physical road boundary and vehicle candidates are detected. Subsequently, the contextual information between the host vehicle, the road, and the other vehicles are correlated for both low-level object detection improvement and high-level road structure estimation. Finally, the required ADAS elements are generated based on the correlation results with respect to the system functionalities. Experimental results in various typical but challenging scenarios have substantiated the effectiveness of the proposed system, which could help increase the value of the existing ADAS system without major modifications or expense.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Multimodal ADAS System for Unmarked Urban Scenarios Based on Road Context Understanding




    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik



    A Multimodal ADAS System for Unmarked Urban Scenarios Based on Road Context Understanding

    Guo, Chunzhao / Meguro, Junichi / Kojima, Yoshiko et al. | IEEE | 2015


    VISIO-SPATIAL ROAD BOUNDARY DETECTION FOR UNMARKED URBAN AND RURAL ROADS

    Kuhnl, T. / Fritzsche, J. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2014




    CADAS: A MULTIMODAL ADVANCED DRIVER ASSISTANCE SYSTEM FOR NORMAL URBAN STREETS BASED ON ROAD CONTEXT UNDERSTANDING

    Guo, C. / Meguro, J. / Kojima, Y. et al. | British Library Conference Proceedings | 2013