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.gitignore

.gitignore

 
 

Drone-vid2img.py

Drone-vid2img.py

 
 

README.md

README.md

 
 

Resize.py

Resize.py

 
 

Road extraction.py

Road extraction.py

 
 

dynamic_fire_smoke_by_wind.py

dynamic_fire_smoke_by_wind.py

 
 

find.py

find.py

 
 

find_path_alg.py

find_path_alg.py

 
 

main.py

main.py

 
 

spread_of_fire_on_aerial_image.py

spread_of_fire_on_aerial_image.py

 
 

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UAV-Path-Planning-based-on-Road-Extraction

This is the code implementation of the paper titled "UAV Path Planning based on Road Extraction" https://www.scitepress.org/Link.aspx?doi=10.5220/0011089900003209

Citations

Please cite us if you use our programs.

Liu, C. and Szirányi, T., 2022. UAV Path Planning based on Road Extraction. In IMPROVE (pp. 202-210).

1.Drone real-time video processing (Drone-vid2img.py)

2.Resize drone images (Resize.py)

3.Use D-linkedNet for road network extraction

https://github.com/zlckanata/DeepGlobe-Road-Extraction-Challenge

4.Weighted A star algorithm for Route Planning (main.py)

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This is the code implementation of the paper titled "UAV Path Planning based on Road Extraction"

www.scitepress.org/Link.aspx?doi=10.5220/0011089900003209

Topics

drone astar-algorithm path-planning optimal-path roadextraction roadnetworks

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