Automotive systems provide a unique opportunity for mobile vision technologies to improve road safety by understanding and monitoring the driver. In this work, we propose a real-time framework for early detection of driver maneuvers. The implications of this study would allow for better behavior prediction, and therefore the development of more efficient advanced driver assistance and warning systems. Cues are extracted from an array of sensors observing the driver (head, hand, and foot), the environment (lane and surrounding vehicles), and the ego-vehicle state (speed, steering angle, etc.). Evaluation is performed on a real-world dataset with overtaking maneuvers, showing promising results. In order to gain better insight into the processes that characterize driver behavior, temporally discriminative cues are studied and visualized.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Vision on Wheels: Looking at Driver, Vehicle, and Surround for On-Road Maneuver Analysis


    Contributors:


    Publication date :

    2014-06-01


    Size :

    689632 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    EMBEDDED SURROUND VISION-BASED DRIVER ASSISTANCE FOR SAFE ZONE ESTIMATION

    SATZODA RAVI KUMAR / TRIVEDI MOHAN M | European Patent Office | 2017

    Free access

    Embedded surround vision-based driver assistance for safe zone estimation

    SATZODA RAVI KUMAR / TRIVEDI MOHAN M | European Patent Office | 2019

    Free access



    The analysis of road length of vehicle maneuver

    Žukas, Artūras / Sokolovskij, Edgar | BASE | 2011

    Free access