Integrated open-source software for urban autonomous driving, maintained by Tier IV. The following functions are supported:
- 3D Localization
- 3D Mapping
- Path Planning
- Path Following
- Accel/Brake/Steering Control
- Data Logging
- Car/Pedestrian/Object Detection
- Traffic Signal Detection
- Traffic Light Recognition
- Lane Detection
- Object Tracking
- Sensor Calibration
- Sensor Fusion
- Cloud-oriented Maps
- Connected Automation
- Smartphone Navigation
- Software Simulation
- Virtual Reality
Autoware is protected by BSD License. Please use it on your own responsibility. For safe use, we provide a ROSBAG-based simulation method for those who do not own real autonomous vehicles. In case that you use Autoware with real autonomous vehicles, please formulate safety measures and assessment of risk before field testing.
- New BSD License
- See LICENSE
- RAM size: 32GB
- Storage size: 30GB
- ROS indigo(Ubuntu 14.04) or ROS jade(Ubuntu 15.04)
- OpenCV 2.4.10 or higher NOTE: As of Octber 2016, Autoware does not support OpenCV 3 or higher. Please use OpenCV 2
- Qt 5.2.1 or higher
- CUDA(Optional)
- FlyCapture2(optional)
- Armadillo
Please use checkout revision before 2015/OCT/21 if you use Autoware on ROS hydro or Ubuntu 13.04, 13.10.
% sudo apt-get install ros-indigo-desktop-full ros-indigo-nmea-msgs ros-indigo-nmea-navsat-driver ros-indigo-sound-play ros-indigo-jsk-visualization
% sudo apt-get install libnlopt-dev freeglut3-dev qtbase5-dev libqt5opengl5-dev libssh2-1-dev libarmadillo-dev libpcap-dev gksu libgl1-mesa-dev
NOTE: Please do not install ros-indigo-velodyne-pointcloud package. Please uninstall it if you already installed.
% sudo apt-get install ros-jade-desktop-full ros-jade-nmea-msgs ros-jade-nmea-navsat-driver ros-jade-sound-play
% sudo apt-get install libnlopt-dev freeglut3-dev qt5-default libqt5opengl5-dev libssh2-1-dev libarmadillo-dev libpcap-dev gksu libgl1-mesa-dev
NOTE: jsk_visualization is not provided in Ubuntu15.04 Jade. Please download it from the following repository and build it by yourself.
https://github.com/jsk-ros-pkg/jsk_visualization