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.
An unmanned vehicle path planning problem based on intelligent algorithms
International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023) ; 2023 ; Xiamen, China
Proc. SPIE ; 12759
2023-08-10
Conference paper
Electronic Resource
English
Cooperative Path Planning for Intelligent Vehicle Using Unmanned Air and Ground Vehicles
Springer Verlag | 2017
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