Microsoft AirSim: One of the biggest challenges in building autonomous vehicles is dealing with the irregularities and adverse conditions of outdoor spaces: Since the battery from how they react on twisty roads and uneven terrain, to flying in wind and rain, there are many things that experts should check in their creations.
With this in mind, a team of Microsoft researchers developed an open source tool προσομοίωσης για να βοηθήσουν στην εκπαίδευση και τον έλεγχο των αυτόνομων οχημάτων, drones και robots. Η πλατφόρμα μπορεί να "διδάξει" τα οχήματα να αποφεύγουν εμπόδια όπως ακριβώς θα έκαναν και σε πραγματικές συνθήκες.
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