Autonomous Vehicle

Autoware Foundation- an open source initiative for autonomous vehicle

Autoware Foundation founded in 2018, is a non-profit organization, which supports open-source projects enabling autonomous vehicle, jointly initiated by Apex.AI, Inc.  Linaro/96Boards, and Tier IV, Inc. Its projects/activities are grouped under- Autoware.AI, Autoware.AUTO, and Autoware.IO. 

Autoware.AI 

Autoware.AI is assisted by the autonomous driving open source community with 2300+ stars on GitHub and 500+ accounts on Slack. It is being used by 100+ companies in 20+ countries.

Autoware.AUTO

Autoware.Auto is a project assisted by the Autoware Foundation. It is a clean slate rewrite of Autoware. It applies best-in-class software engineering practices which include pulling request reviews, pulls request builds, comprehensive documentation, 100% code coverage, a coding style guide, and a defined development and release process, all managed by an open-source community manager. 

Autoware.IO

Autoware.IO provides a heterogeneous hardware reference platform with tools, unified interface design, and test framework. It enables the integration of member company’s solutions onto platforms that support the Autoware.AUTO and Autoware.AI software stack.

Examples of Autoware.IO projects are simulators, device drivers for sensors, by-wire controllers for vehicles, and hardware-independent programs for SoC boards.

History & Founding Members

Autoware started as a project 2015 by Shinpei Kato from TierIV, at Nagoya University. Later Shinpei Kato along with University of Tokyo, Jan Becker from Apex.AI and Stanford University, and Yang Zhang from Linaro/96Boards and the Chinese Academy of Sciences AI Institute formed the founding Board of Directors for the Autoware Foundation. Some of its founding members are- ARM, AutoCare, AutonomouStuff, eSOL, Huawei/HiSilicon, Intel Labs, Kalray, LG Electronics, Nagoya University, Open Robotics (OSRF), Parkopedia, RoboSense, SEMI Japan, SiFive/RISC-V Foundation, StreetDrone, Toyota Research Institute-Advanced Development (TRI-AD), Velodyne LiDAR, and Xilinx.

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