Personalized driving assistance system for vehicle collision avoidance has recently received a considerable amount of attention. Consensus has been reached that both the overall driver-vehicle control performance and the driver acceptance can be increased by embedding individual driver preferences and characteristics into the assistance system design. However, the majority of the existing personalized controllers has not yet taken the available computational resource into account. Indeed, as stricter requirements on emissions, safety, and vehicle connectivity drastically complicate the automotive electronics, it becomes common to aggregate several functions inside one single computing unit. Function consolidation simplifies electronic architecture and saves costs. However, it aggravates the competition for computational resources among different applications. Therefore, this paper proposes a novel perspective for personalized driving assistance system design through computational resource re-allocation. For a driver inherently adept at longitudinal (or lateral) control and less capable of lateral (or longitudinal) control, a stronger support from the collision avoidance system and the underlying computational resource can be allocated towards steering (or braking) assistance by this design. Carsim-Simulink conjoint simulations demonstrate that the overall driver-vehicle control performance can be substantially improved with the same computational resource consumption.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Personalized Ground Vehicle Collision Avoidance System: From a Computational Resource Re-allocation Perspective


    Contributors:


    Publication date :

    2020-10-19


    Size :

    1129898 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    PERSONALIZED GROUND VEHICLE COLLISION AVOIDANCE SYSTEM: FROM A COMPUTATIONAL RESOURCE RE-ALLOCATION PERSPECTIVE

    Wang, Zejiang / Wang, Junmin | British Library Conference Proceedings | 2020


    Aircraft ground collision avoidance system

    VANA JAN / COX JOSEPH J / COX ISAIAH W | European Patent Office | 2021

    Free access

    Ground collision avoidance system (iGCAS)

    SKOOG MARK A / PROSSER KEVIN / HOOK LOYD | European Patent Office | 2017

    Free access

    VEHICLE COLLISION AVOIDANCE SUPPORT DEVICE, VEHICLE COLLISION AVOIDANCE SUPPORT SYSTEM, AND VEHICLE COLLISION AVOIDANCE SUPPORT METHOD

    IZUHARA HIDETSUGU / KONDO MASUHIRO / NARITA TAKAHIRO et al. | European Patent Office | 2019

    Free access

    Ground Collision Avoidance System (Igcas)

    Skoog, Mark A / Prosser, Kevin / Hook, Loyd | NTRS | 2017