This paper develops an indoor rapid testing platform for AV based on VIL simulation which comprised of four subsystems: a drum-based mechanical test bench, a computer-aided measuremental control system, a software-based scenario and sensors simulated system, and an automatic evaluation system for the testing result. The AV is coupled with the virtual simulation scenarios and the test bench to construct a closed-loop system. In the mechanical test bench, the driving resistance for different road adhesion coefficients and geometries can be simulated. We adopted virtual reality technology to simulate various road traffic scenarios to verify various functions of the AV. This paper selects lane change of an AV as the use case to verify the effectiveness of the test platform. The results show that the AV can efficiently execute the lane-changing maneuver under various conditions on the proposed platform. Compared with actual road test, the test efficiency has been greatly improved.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Indoor Rapid Testing Platform for Autonomous Vehicles Using Vehicle-in-the-Loop Simulation


    Contributors:
    Cheng, Jing-Jun (author) / Xu, Zhi-Gang (author) / Gao, Ying (author) / Wang, Zhen (author) / Wang, Wen-Wei (author) / Zhao, Xiang-Mo (author)

    Conference:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Published in:

    CICTP 2020 ; 411-422


    Publication date :

    2020-12-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    An Indoor Vehicle-in-the-Loop Simulation Platform Testing Method for Autonomous Emergency Braking

    Ying Gao / Xiangmo Zhao / Zhigang Xu et al. | DOAJ | 2021

    Free access


    AUTONOMOUS VEHICLE TESTING AND VALIDATION PLATFORM: INTEGRATED SIMULATION SYSTEM WITH HARDWARE IN THE LOOP

    Chen, Yu / Chen, Shitao / Zhang, Tangyike et al. | British Library Conference Proceedings | 2018


    Indoor Localization of Autonomous Vehicles

    BALLARD BENJAMIN DAVID / PUCHALSKI MATTHEW / LORD DALE HUMBERT et al. | European Patent Office | 2022

    Free access

    Indoor positioning of autonomous vehicles

    BALLARD BRIAN D / PUCHALSKI MAREK / LOWDER DOUGLAS H et al. | European Patent Office | 2023

    Free access