In order to be deployed in real-world driving environments, self-driving cars must be able to recognize and respond to exceptional road conditions, such as highway workzones, because such unusual events can alter previously known traffic rules and road geometry. In this paper, we present a set of computer vision methods that recognize, through identification of workzone signs, the bounds of a highway workzone and temporary changes in highway driving environments. Through testing using video data about highway workzones recorded under various weather conditions, our approach was able to perfectly identify the boundaries of workzones and robustly detect a majority of driving condition changes. In addition to these tests, we evaluated, using a mock workzone setup, the usefulness of our workzone recognition systems' outputs for safe-guarding a self-driving car.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Recognition of Highway Workzones for Reliable Autonomous Driving


    Contributors:


    Publication date :

    2015-04-01


    Size :

    1493858 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    New Traffic Regulation in Relation to the Traffic Volumes and Safety in Workzones in the Netherlands

    Kusters, M. M. / Boone, J. M. / Statens vag- och transportforskningsinstitut et al. | British Library Conference Proceedings | 1996


    Driving Environment Recognition System on Highway

    Yasugi, H. / Shima, N. / Nakamura, R. | British Library Conference Proceedings | 1995