Microsoft AirSim: One of the biggest challenges in the construction of stand-alone vehicles is to deal with irregularities and adverse conditions in the outdoors: From battery life to reacting to roads with many turns and uneven terrain, flying in air and rain, there are a lot of things that experts have to check on their creations.
With that in mind, a team Microsoft researchers developed an open source tool προσομοίωσης για να βοηθήσουν στην education and the control of autonomous vehicles, drones and robots. The platform can "teach" vehicles to avoid obstacles just as they would in real conditions.
It's called Aerial Informatics and Robotics Platform, or AirSim for short. The application is available for Linux and Windows, and will allow you to create a random environment to train your bot or vehicle, experiment with various models, and test various scenarios and spaces.
It is worth noting that the software is not designed to completely replace the real-world tests, but rather to complement them, allowing you to simulate a wide range of tests as often as necessary.
In addition to creating situations that mimic the real world, AirSim also includes systems for realistic simulation in various lighting conditions and tree clusters, which will help educate robotic models in understanding how to calculate depth, avoid obstacles, and so on.
AirSim supports audits for DJI and MavLink drones out of the box but also supports other stand-alone vehicles, platforms and software protocols by adding special modules to the software.
If you want to try AirSim you can download it from its repository at GitHub.
https://github.com/Microsoft/AirSim
