C++ modules for building autonomy software on robotic platforms, especially autonomous marine vehicles, using the MOOS middleware and IvP Helm.
#autonomous-vehicles
Best open-source autonomous driving simulators (2026)
These simulators model autonomous cars, drones and mobile robots in virtual environments so that control and perception code can be tested before it reaches a real vehicle. When choosing one, weigh how realistic the rendering and physics need to be, which sensors are modeled (cameras, lidar, radar), and whether it integrates with your existing stack such as ROS 2. CARLA offers urban driving scenes and sensor simulation, AirSim covers drones and cars with APIs for AI and vision research, and mvsim is a lightweight 2.5D option for wheeled robots.
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Lightweight 2.5D dynamics simulator for wheeled mobile robots and vehicles, usable standalone, via ROS 1/2, or from C++ and Python.
A Unreal Engine-based simulator for drones, cars and other vehicles, extended by Cosys-Lab with new sensor models and APIs.
A simulation environment built on Gazebo and ROS 2 for testing unmanned surface vehicles in marine scenarios, based on RobotX competition tasks.
An open-source, engine-independent simulator for drones, fixed-wing aircraft and ground vehicles, with optional Unreal Engine 5 rendering.
Open-source robot simulator for modeling, programming and simulating robots, vehicles and mechanical systems.
ROS 2 navigation framework that lets mobile robots plan paths, follow them, and avoid obstacles using a behavior-tree-driven stack.
An open-source simulator built on Unreal Engine for drones, cars and other autonomous vehicles, with APIs for AI and computer vision research.
Open-source simulator for autonomous driving research, providing urban environments, digital assets, and sensor simulation built on Unreal Engine.