With the development of artificial intelligence, public cloud service platforms have begun to provide common pretrained object recognition models for public use. In this study, a dynamic vehicle path-planning system is developed, which uses several general pretrained cloud models to detect obstacles and calculate the navigation area. The Euclidean distance and the inequality based on the detected marker box data are used for vehicle path planning. Experimental results show that the proposed method can effectively identify the driving area and plan a safe route. The proposed method integrates the bounding box information provided by multiple cloud object detection services to detect navigable areas and plan routes. The time required for cloud-based obstacle identification is 2 s per frame, and the time required for feasible area detection and action planning is 0.001 s per frame. In the experiments, the robot that uses the proposed navigation method can plan routes successfully.


    Access

    Download


    Export, share and cite



    Title :

    Vehicle Path Planning with Multicloud Computation Services


    Contributors:

    Publication date :

    2021-08-17


    Remarks:

    doi:10.46604/aiti.2021.7192
    Advances in Technology Innovation; Vol 6 No 4 (2021): September; 213-221 ; 2518-2994 ; 2415-0436



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Intelligent Path Planning With Evolutionary Computation

    Parry, A. / Ordonez, R. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2010


    Intelligent Path Planning with Evolutionary Computation

    Parry, Adam / Ordóñez, Raúl | AIAA | 2010



    Vehicle path planning method and vehicle path planning device

    TAI YUZHUO / CHU JINGKAI | European Patent Office | 2021

    Free access

    VEHICLE PATH PLANNING

    GYLLENHAMMAR MAGNUS / ZANDÉN CARL / VAKILZADEH MAJID KHORSAND | European Patent Office | 2022

    Free access