Global path planning of unmanned vehicle based on fusion of A* algorithm and Voronoi field

Global path planning of unmanned vehicle based on fusion of A* algorithm and Voronoi field

Purpose – Since many global path planning algorithms cannot achieve the planned path with both safety and economy, this study aims to propose a path planning method for unmanned vehicles with a controllable distance from obstacles. Design/methodology/approach – First, combining satellite image and t...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Jiansen Zhao, Xin Ma, Bing Yang, Yanjun Chen, Zhenzhen Zhou, Pangyi Xiao
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Tsinghua University Press 2022-10-01
Sarja:Journal of Intelligent and Connected Vehicles
Aiheet:
unmanned vehicle
path planning
improved a* algorithm
gradient descent method
path smoothing
Linkit:https://www.emerald.com/insight/content/doi/10.1108/JICV-01-2022-0001/full/pdf?title=global-path-planning-of-unmanned-vehicle-based-on-fusion-of-asupsup-algorithm-and-voronoi-field

Internet

https://www.emerald.com/insight/content/doi/10.1108/JICV-01-2022-0001/full/pdf?title=global-path-planning-of-unmanned-vehicle-based-on-fusion-of-asupsup-algorithm-and-voronoi-field

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