Cuki-Chang / Road-Condition-Detection-and-Emergency-Rescue-Recognition-Using-On-Board-UAV-in-the-Wildness

This is the code implementation of the paper titled "Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wildness"

Road-Condition-Detection-and-Emergency-Rescue-Recognition-Using-On-Board-UAV-in-the-Wildness

This is the code implementation of the paper titled "Road-Condition-Detection-and-Emergency-Rescue-Recognition-Using-On-Board-UAV-in-the-Wildness" https://www.mdpi.com/2072-4292/14/17/4355

Citations

Please cite us if you use our programs.

Liu, Chang, and Tamás Szirányi. 2022. "Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wildness" Remote Sensing 14, no. 17: 4355.

1.Drone real-time video processing

2.Resize drone images

3.Use D-linkedNet for road network extraction

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

4.NDVI and Road Condition Calssification

5.Weighted A star algorithm for Route Planning

6.Emergency Gesture Recognition

please refers to our Human-Drone Communication Repository

https://github.com/Cuki-Chang/Human-Drone-communication

Datasets and models: please contact [e-mail]