AirSim and simulator
These are complementary tools: AirSim provides physics-based vehicle dynamics and sensor simulation in a game engine, while LGSVL Simulator focuses on ROS/ROS2 integration and multi-robot coordination, so teams often use AirSim for low-level vehicle behavior and LGSVL for high-level autonomous stack testing.
About AirSim
microsoft/AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
This simulator helps AI researchers and developers test autonomous vehicle algorithms for drones and cars in realistic virtual environments. You can feed your AI models into the simulator and observe how the vehicles respond, generating data for further training. It's designed for those developing AI for self-driving cars, drone delivery, or other aerial and ground autonomous systems.
About simulator
lgsvl/simulator
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
This simulator helps autonomous vehicle developers test their algorithms in a virtual environment. You input your autonomous driving software (like Autoware.auto or Apollo) and receive simulated vehicle behavior and sensor data, allowing you to validate your system without physical road tests. It's designed for engineers and researchers focused on developing and validating self-driving car technology.
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