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
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doi: 10.4121/285af7be-36da-4b69-a75d-bf822ebc107f
doi: 10.4121/285af7be-36da-4b69-a75d-bf822ebc107f
Datacite citation style:
Xu, Bo Wei ; Zhang, Jun Peng (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
publisher
4TU.ResearchData
format
application of Matlab,include ‘.m’ file and JPG
data link
none
funding
- None
organizations
Huzhou university, Department of Engineering
DATA
files (2)
- 1,227 bytesMD5:
86771896b00ef50b15b6df384cd12a8d
README.txt - 17,864,374 bytesMD5:
834f38b6e2b4a2fa2d40cf78e2e7cc4e
Code-MATLAB.rar -
download all files (zip)
17,865,601 bytes unzipped