The development of fully autonomous vehicles (AVs) can potentially eliminate drivers and introduce unprecedented seating design. However, highly flexible seat configurations may lead to occupants' unconventional poses and actions. Understanding occupant behaviors and prioritize safety features become eye-catching topics in the AV research frontier. Visual sensors have the advantages of cost-efficiency and high-fidelity imaging and become more widely applied for in-car sensing purposes. Occlusion is one big concern for this type of system in crowded car cabins. It is important but largely unknown about how a visual-sensing framework will look like to support 2-D and 3-D human pose tracking towards highly configurable seats. As one of the first studies to touch this topic, we peek into the future camera-based sensing framework via a simulation experiment. Constructed representative car-cabin, seat layouts, and occupant sizes, camera coverage from different angles and positions is simulated and calculated. The comprehensive coverage data are synthesized through an optimization process to determine the camera layout and overall occupant coverage. The results show the needs and design of a different number of cameras to fully or partially cover all the occupants with changeable configurations of up to six seats.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles


    Contributors:


    Publication date :

    2021-09-19


    Size :

    983764 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Camera-Based Vehicle Occupant Sensing

    BOHDAN LUKASZ / DRAB KAMIL | European Patent Office | 2024

    Free access

    Tracking Occupant Activities in Autonomous Vehicles Using Capacitive Sensing

    Prasanna Kumar, Rahul / Melcher, David / Buttolo, Pietro et al. | IEEE | 2023


    CAMERA PEEK INTO TURN

    PATEL NIRMAL | European Patent Office | 2021

    Free access

    CAMERA PEEK INTO TURN

    PATEL NIRMAL | European Patent Office | 2018

    Free access

    Camera peek into turn

    PATEL NIRMAL | European Patent Office | 2024

    Free access