Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites
Date:
This talk presents a method for wilderness rescue using UAVs and satellite imagery. The approach integrates UAV vision technology and satellite image analysis for:
- Detecting active wildfires and segmenting smoke and flames using Sentinel-2 satellite imagery.
- Performing road segmentation and condition assessment in the fire-affected areas using D-LinkNet and NDVI values from UAV imagery.
- Planning dynamic optimal escape routes in real time for humans using a weighted A* algorithm combined with a dynamic fire spread model.
A case study of the Chongqing wildfire on August 24, 2022, demonstrates the effectiveness of the proposed method for providing safe and efficient escape routes.
Authors: Chang Liu, Tamás Szirányi
Citations: C Liu, T Szirányi - 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC 2023).