Open-source simulator for autonomous driving research.
-
Updated
Nov 29, 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
通过carla-ros-bridge在carla上实现自动驾驶planning and control。
World Model based Autonomous Driving Platform in CARLA 🚗
Add a description, image, and links to the carla topic page so that developers can more easily learn about it.
To associate your repository with the carla topic, visit your repo's landing page and select "manage topics."