An unmanned vehicle path planning problem based on intelligent algorithms

Gang Wu; Zixuan Zhang; Le Zhang; Enming Zhang; Jiayuan Xu; Ying Wang

doi:10.1117/12.2686381

10 August 2023 An unmanned vehicle path planning problem based on intelligent algorithms

Gang Wu, Zixuan Zhang, Le Zhang, Enming Zhang, Jiayuan Xu, Ying Wang

Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 1275913 (2023) https://doi.org/10.1117/12.2686381
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China

Abstract

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.

Citation Download Citation

Gang Wu, Zixuan Zhang, Le Zhang, Enming Zhang, Jiayuan Xu, and Ying Wang "An unmanned vehicle path planning problem based on intelligent algorithms", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 1275913 (10 August 2023); https://doi.org/10.1117/12.2686381

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