Open-source alternatives to Self Driving Car Sim

cannon.js is a JavaScript 3D physics engine designed for calculating rigid body dynamics and collisions in three-dimensional space. It functions as a rigid body dynamics engine that models mass, friction, and velocity to determine object movement, while providing a mathematical framework for applying physical constraints and joints. The engine supports a variety of collision volumes, including spheres, boxes, convex polyhedrons, heightfields for terrain simulation, and complex triangle meshes. It provides tools for identifying intersections between these shapes and calculating the exact areas

jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Computational framework for reinforcement learning in traffic control

A generic interface for the environmental perception of automated driving functions in virtual scenarios.

AirSim is a high-fidelity simulation platform designed for the development and testing of autonomous vehicles. Built as a plugin for game engines, it provides a physics-based environment that models vehicle dynamics and sensor data, serving as a foundation for robotics research, computer vision training, and reinforcement learning. The platform distinguishes itself through its support for hardware-in-the-loop and software-in-the-loop testing, allowing developers to validate control logic and firmware against real-world signals or concurrent processes. It offers extensive programmatic control

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

The source code for the Menge crowd simulation framework

ROS bridge for CARLA Simulator

Trick Simulation Environment. Trick provides a common set of simulation capabilities and utilities to build simulations automatically.

Unreal Engine Plugin to enable ROS Support

Cloe

Support for ROS-enabled RGBD data acquisition in Unreal Engine Projects

An OpenAI gym wrapper for CARLA simulator

Webots is a physics-based robot simulator and development environment used for modeling, programming, and testing the behavior of robots in a simulated 3D physical world. It serves as a virtual prototyping tool to verify mechanical and electronic systems through the creation of virtual robot models and control logic. The platform enables a full robotics simulation workflow, including the development of robot controllers and the programming of autonomous agent behaviors. It focuses on physical system modeling to represent the mechanical properties of hardware and simulate real-world interactio

Generate random crop fields for Ignition Gazebo

A minimalist environment for decision-making in autonomous driving

MIT Cheetah I Implementation

Simulation for spacecraft attitude control system analysis and design

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

a basic OpenSCENARIO player

OpenSceneGraph git repository