https://github.com/carla-simulator/carla

Open-source simulator for autonomous driving research.
https://github.com/carla-simulator/carla

ai artificial-intelligence autonomous-driving autonomous-vehicles carla carla-simulator computer-vision cross-platform deep-learning deep-reinforcement-learning imitation-learning research ros self-driving-car simulator ue4 unreal-engine-4

Last synced: about 2 months ago
JSON representation

Open-source simulator for autonomous driving research.

• Host: GitHub
• URL: https://github.com/carla-simulator/carla
• Owner: carla-simulator
• License: mit
• Created: 2017-10-24T09:06:23.000Z (over 6 years ago)
• Default Branch: dev
• Last Pushed: 2024-04-12T15:24:57.000Z (2 months ago)
• Last Synced: 2024-04-14T04:10:16.588Z (2 months ago)
• Topics: ai, artificial-intelligence, autonomous-driving, autonomous-vehicles, carla, carla-simulator, computer-vision, cross-platform, deep-learning, deep-reinforcement-learning, imitation-learning, research, ros, self-driving-car, simulator, ue4, unreal-engine-4
• Language: C++
• Homepage: http://carla.org
• Size: 1.6 GB
• Stars: 10,457
• Watchers: 241
• Forks: 3,351
• Open Issues: 1,134
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Codeowners: .github/CODEOWNERS

Lists

• Awesome-Self-Driving - carla - Open-source simulator for autonomous driving research. (11. Simulation / 8.8. Other)
• awesome-robotic-tooling - carla - Open-source simulator for autonomous driving research. (Simulation / Version Control)
• Jupyter-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. (Deep Learning Tools, Libraries, and Frameworks)
• Autonomous-Systems-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Robotics Tools and Frameworks)
• Computer-Vision-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Robotics Tools and Frameworks)
• Deep-Learning-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Robotics Tools and Frameworks)
• Linux-Mint-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics)
• ARM-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics)
• Pop_OS-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics / Winetricks)
• macOS-iOS-iPadOS-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics / Objective-C Tools, Libraries, and Frameworks)
• LiDAR-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics)
• Unity-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. (Deep Learning Tools, Libraries, and Frameworks / viii. Linear Regression)
• Zorin-OS-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics)
• Developer-Handbook - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools / Mesh networks)
• awesome-autonomous-vehicle - 英特尔Carla|开源 - 用于城市自动驾驶系统的开发、训练和验证的开源模拟器，支持多种传感模式和环境条件的灵活配置 (软件 / 仿真平台)
• awesome-CARLA - Main source code
• Debian-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics)
• awesome-deep-rl - Carla - Open-source simulator for autonomous driving research. (Environments)
• awesome-lidar - GitHub repository :octocat:
• SUSE-openSUSE-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics)
• Apache-Airflow-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. (Reinforcement Learning Tools, Libraries, and Frameworks)
• TensorFlow-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. (Reinforcement Learning Tools, Libraries, and Frameworks)
• IoT-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics / In-memory data grids)
• awesome-stars - carla-simulator/carla - Open-source simulator for autonomous driving research. (C++)
• Self-Hosting-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics / In-memory data grids)
• Self-Hosting-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Tools for Robotics / In-memory data grids)
• awesome-robotic-tooling - carla - Open-source simulator for autonomous driving research (Simulation / Calibration and Transformation)
• awesome-robotic-tooling - carla - Open-source simulator for autonomous driving research. (Simulation / Version Control)
• awesome-stars - carla-simulator/carla - Open-source simulator for autonomous driving research. (C++)
• my-awesome-stars - carla-simulator/carla - Open-source simulator for autonomous driving research. (C++)
• awesome-stars - carla-simulator/carla - Open-source simulator for autonomous driving research. (C++)
• awesome-stars - carla - source simulator for autonomous driving research. | carla-simulator | 4227 | (C++)
• Apache-Kafka-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. (Reinforcement Learning Tools, Libraries, and Frameworks)
• awesome-android-cpp - carla-simulator/carla - Open-source simulator for autonomous driving research. (TODO scan for Android support in followings)
• awesome-self-driving - Carla
• awesome-python-machine-learning-resources - GitHub - 16% open · ⏱️ 19.11.2021): (Others)
• awesome-simulation - Carla - Open-source simulator for autonomous driving research. ([Unreal Engine](https://www.unrealengine.com/en-US/))
• Unreal-Engine-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. (Deep Learning Tools, Libraries, and Frameworks / viii. Linear Regression)
• my-awesome-stars - carla-simulator/carla - Open-source simulator for autonomous driving research. (C++)
• awesome-list - CARLA - An open-source simulator for autonomous driving research. (Other Machine Learning Applications / Others)
• awesome_autonomous_vehicle_contents - Carla
• Distributed-Systems-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. (Reinforcement Learning Tools, Libraries, and Frameworks)
• PyTorch-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. (Reinforcement Learning Tools, Libraries, and Frameworks)
• Apache-Spark-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. (Reinforcement Learning Tools, Libraries, and Frameworks)
• MATLAB-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. (Robotics Tools and Frameworks)
• Parallel-Computing-Guide - CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. (Reinforcement Learning Tools, Libraries, and Frameworks)