Autoware

Integrated open-source software for urban autonomous driving. 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
Moving Object Tracking
Sensor Calibration
Sensor Fusion
Cloud-based Dynamic Maps
Android Navigation
Simulation
Gamificated HMI

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.

License

New BSD License
- See LICENSE

Spec Recommendation

of CPU cores: 8
RAM size: 32GB
Storage size: 30GB

Requirements

ROS indigo(Ubuntu 14.04) or ROS jade(Ubuntu 15.04)
OpenCV 2.4.10 or higher NOTE: Autoware does not support OpenCV 3. 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.

Install dependencies for Ubuntu 14.04 indigo

% 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

NOTE: Please do not install ros-indigo-velodyne-pointcloud package. Please uninstall it if you already installed.

Install dependencies for Ubuntu 15.04 jade

% 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

NOTE: jsk_visualization does not provided in Ubuntu15.04 Jade. Please download from following URL and make manually.
https://github.com/jsk-ros-pkg/jsk_visualization

How to Build

$ cd $HOME
$ git clone https://github.com/CPFL/Autoware.git
$ cd ~/Autoware/ros/src
$ catkin_init_workspace
$ cd ../
$ ./catkin_make_release

How to Start

$ cd $HOME/Autoware/ros
$ ./run

For Developers

Be careful for changing files under ros/src/sensing/drivers/lidar/packages/velodyne. There is subtree. Original repository is here. If you change those files from this repository, you must use git subtree push. (Please never change and push code if you don't understand git subtree well).

Documents

See Autoware/docs. As of Aug 25 2015, we provide only Japanese documents. English documents will be added shortly.

Research Papers for Citation

S. Kato, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, K. Takeda, and T. Hamada. "An Open Approach to Autonomous Vehicles", IEEE Micro, Vol. 35, No. 6, pp. 60-69, 2015.

Instruction Videos

Quick Start

Loading map data

Localization with GNSS

Localization without GNSS

Mapping

Detection

Planning with ROSBAG

Planning with wf_simulator

Sample Data

3D map of Moriyama in Nagoya

ROSBAG data of Moriyama driving

Contact

Autoware Developers ([email protected])

To subscribe the Autoware Developers ML,

If you have a Google account, go to https://groups.google.com/d/forum/autoware, and click the Apply to Join Group button.
If you don't have a Google account, send an email to [email protected].

pengzhang123 / autoware Goto Github PK

autoware's Introduction