This paper details the research, development, and demonstrations of real-world systems intended to assist the driver in urban environments, as part of the Urban Intelligent Assist (UIA) research initiative. A 3-year collaboration between Audi AG, Volkswagen Group of America Electronics Research Laboratory, and UC San Diego, the driver assistance portion of the UIA project focuses on two main use cases of vital importance in urban driving. The first, Driver Attention Guard, applies novel computer vision and machine learning research for accurately tracking the driver's head position and rotation using an array of cameras. The system then infers the driver's focus of attention, alerting the driver and engaging safety systems in case of extended driver inattention. The second application, Merge and Lane Change Assist, applies a novel probabilistic compact representation of the on-road environment, fusing data from a variety of sensor modalities. The system then computes safe and low-cost merge and lane-change maneuver recommendations. It communicates desired speeds to the driver via Head-up Display, when the driver touches the blinker, indicating his desired lane. The fully-implemented systems, complete with HMI, were demonstrated to the public and press in San Francisco in January of 2014.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Looking-in and looking-out vision for Urban Intelligent Assistance: Estimation of driver attentive state and dynamic surround for safe merging and braking




    Publication date :

    2014-06-01


    Size :

    4138312 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

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

    Ohn-Bar, Eshed / Tawari, Ashish / Martin, Sujitha et al. | IEEE | 2014


    Multi camera surround sensing for driver assistance systems

    Makowitz,R. / Gryska,H. / Weuffen,D. et al. | Automotive engineering | 2012