Data underlying the research on path planning of robot unknown environment based on improved A * algorithm
DOI:10.4121/285af7be-36da-4b69-a75d-bf822ebc107f.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
DOI: 10.4121/285af7be-36da-4b69-a75d-bf822ebc107f
DOI: 10.4121/285af7be-36da-4b69-a75d-bf822ebc107f
Datacite citation style
(2023): Data underlying the research on path planning of robot unknown environment based on improved A * algorithm. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/285af7be-36da-4b69-a75d-bf822ebc107f.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset is a source code file and the code language is MATLAB, Propose an improved algorithm based on the traditional A* algorithm, which expands the search step and search angle - Improv-A*. This algorithm not only improves the search speed but also enhances search efficiency, reducing the total planning distance. In order to achieve a combination of static global path planning and dynamic local path planning, we attempt to integrate Improv-A* algorithm with artificial potential field method to achieve dynamic path planning for unmanned aerial vehicles.
History
- 2023-09-29 first online, published, posted
