Open-source simulator for autonomous driving research.
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Updated
Dec 5, 2024 - C++
Open-source simulator for autonomous driving research.
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
Decision Intelligence Platform for Autonomous Driving simulation.
Traffic scenario definition and execution engine
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Learn how to use CARLA with basic APIs
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
Visualize carla in the web browser
Implementation of the real-time MPC based on iLQR in Carla simulator
Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models
PCSim: LiDAR Point Cloud Simulation and Sensor Placement! Code of [ICRA 2023] "Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library" and [ICCV 2023] "Optimizing the Placement of Roadside LiDARs for Autonomous Driving".
converter for OpenStreetMaps to OpenDrive roads - for use with Carla or other things
World Model based Autonomous Driving Platform in CARLA 🚗
通过carla-ros-bridge在carla上实现自动驾驶planning and control。
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