Development of a plataform for autonomous wildfire supression technology:

Some features of the project in development process to be launched as a research and development plataform for autonomous wildfire supression technology: - Unreal Engine or GAZEBO enviroment built on ROS 2 - Build the terrain using realworld map data - The software will simulate the dispersion of fire using an algorithm. Also calculate the wind effect. - This simulation will have drones and quadruped robots. Developers (eg cooperative participants) will be able to use these tools. - Image processing can be done with cameras on robots and drones. - The software will simulate the progress of the fire - The administrator will use an interface to control wind speed, wind direction and similar physical and environmental elements with simulation settings made in an interface. -Computer models using data, math and computer instructions to predict events in the real world. -Data-driven forest fire analysis (information about real time or historical data conditions) from a burning area, transform it into a simulation environment and obtain the best fire-fighting strategy. -Reality-based generation of virtual environments for digital earth (mixture of real and virtual imagery), using satellite/aerial images and maps, virtual, augmented, and mixed reality combined. -Simulating the forest fire plume dispersion, chemistry, and aerosol formation - AI to control drones and quadruped robo: Deep Reinforcement Learning Essentially rule-based structures for making decisions. In general, conforming to commercially available tech, specification, standards and current regulatory guidance. More on: [login to view URL] [login to view URL]