In the current climate of traffic congestion and frequent traffic accidents due to increasing pressure on transport, the birth and development of driverless cars is particularly important. However, as the technologies of unmanned vehicles are not yet perfect, it becomes more practical to carry goods at low speed - unmanned delivery - than to carry people at high speed. In order to achieve the goal of making full use of the existing road resources and improving the efficiency of distribution in logistics, this paper uses an intelligent algorithm - the Pelican algorithm - to optimise the cost of the unmanned vehicle and solve for its minimum cost.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An unmanned vehicle path planning problem based on intelligent algorithms


    Beteiligte:
    Ladaci, Samir (Herausgeber:in) / Kaswan, Suresh (Herausgeber:in) / Wu, Gang (Autor:in) / Zhang, Zixuan (Autor:in) / Zhang, Le (Autor:in) / Zhang, Enming (Autor:in) / Xu, Jiayuan (Autor:in) / Wang, Ying (Autor:in)

    Kongress:

    International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023) ; 2023 ; Xiamen, China


    Erschienen in:

    Proc. SPIE ; 12759


    Erscheinungsdatum :

    2023-08-10





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Path Planning Algorithms For Unmanned Aerial Vehicle: Classification, Performance, and Implementation

    Ahmad, Ali Haidar / Zahwe, Oussama / Nasser, Abbass et al. | IEEE | 2023


    PATH PLANNING FOR AN UNMANNED VEHICLE

    COHEN OFIR / APPELMAN DINA | Europäisches Patentamt | 2024

    Freier Zugriff

    UNMANNED AERIAL VEHICLE SWARM PATH PLANNING

    JAMES SCOTT / RAHEB ROBERT | Europäisches Patentamt | 2023

    Freier Zugriff

    PATH PLANNING FOR AN UNMANNED VEHICLE

    COHEN OFIR / APPELMAN DINA | Europäisches Patentamt | 2019

    Freier Zugriff

    Cooperative Path Planning for Intelligent Vehicle Using Unmanned Air and Ground Vehicles

    Hu, Qiuxia / Zhao, Jin / Han, Lei | British Library Conference Proceedings | 2018