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Habitat-sim is a high-performance 3D simulation platform designed for training and benchmarking embodied AI agents within photorealistic indoor and outdoor environments. It serves as a simulator for AI and robotics, providing a system for generating synthetic data and simulating physical interactions. The project is distinguished by a native C++ core that enables high-throughput simulation and a rendering pipeline using physically based rendering and baked global illumination. It features a navigation system based on pre-computed navigation meshes to ensure collision-free traversal and a rigi
SUMO is a microscopic traffic simulation suite designed to model the movement of individual vehicles and pedestrians across large-scale urban road networks. It functions as a multimodal transport simulator that integrates cars, pedestrians, bicycles, railways, and waterways within a single environment, supported by tools for road network generation and traffic demand modeling. The project distinguishes itself through specialized toolsets for environmental impact analysis, which calculate vehicle emissions and energy consumption for electric and hybrid fleets. It provides comprehensive capabil
CARLA is an autonomous driving simulator and research environment designed for developing and validating self-driving software. It functions as an urban traffic simulator that generates realistic vehicle and pedestrian behavior and as a synthetic sensor data generator producing LiDAR, Radar, and camera data. The platform distinguishes itself through its deep integration with robotics frameworks, specifically providing native connectivity to ROS2 nodes for robotic control and data processing. It supports the training of driving models via imitation and reinforcement learning within a controlle
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
This project is an autonomous vehicle simulator designed to validate self-driving logic and train deep learning algorithms within a virtual environment. It functions as a training platform for developing neural networks that control vehicle movement and steering based on visual sensor data.
The main features of udacity/self-driving-car-sim are: Autonomous Vehicle Simulators, Deep Learning Training Toolsets, Simulation Training Environments, Robotic Sensor Simulation, Robotics Simulation Environments, 3D Physics Engines, Procedural Instantiation, Virtual Course Testing.
Projects with overlapping indexed features include: facebookresearch/habitat-sim — Habitat-sim is a high-performance 3D simulation platform designed for training and benchmarking embodied AI agents… eclipse/sumo — SUMO is a microscopic traffic simulation suite designed to model the movement of individual vehicles and pedestrians… carla-simulator/carla — CARLA is an autonomous driving simulator and research environment designed for developing and validating self-driving… schteppe/cannon.js — cannon.js is a JavaScript 3D physics engine designed for calculating rigid body dynamics and collisions in… dusty-nv/jetson-inference — jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU… azazdeaz/fields-ignition — Generate random crop fields for Ignition Gazebo.