Tour Engine proceeding with development of 5 kW Split-Cycle genset with additional ARPA-E GENSETS funding
Volkswagen invests $100M in QuantumScape to secure access to solid-state battery technology; new JV; production by 2025

Toyota Research Institute donates $100k to support CARLA open-source automated driving simulator

Toyota Research Institute (TRI) is furthering its support of open source platforms by donating $100,000 to the Computer Vision Center (CVC) to accelerate its development of an open source simulator for automated driving, Car Learning to Act (CARLA).

CARLA is hosted on Github, and its development is directed by the CVC at the Universitat Autònoma de Barcelona (UAB) in Spain. The non-profit, open source simulator is for the development, training and validation of automated urban driving systems. It is designed to ensure the stability of automated vehicles in myriad situations that are not always testable in the real world. With flexibility and realism in mind, CARLA offers a multitude of environmental conditions and is designed to be extended and easily modified to fit specific project needs.

CARLA is born to democratize research on automated driving, supporting training and testing of AI drivers beyond real-world limitations. The joint work of CARLA engineers, artists and scientists is making this possible. Obviously, we need to keep working to allow CARLA reach its full maturity, and this is why the sponsorship from Toyota is highly valuable.

—Dr. Antonio López, responsible for the project at CVC

CARLA is another major commitment by TRI to an open source platform. TRI has made significant donations for two consecutive years to the Open Source Robotics Foundation (OSRF), which offers the global robotics community access to open source robotics software and development tools. TRI is also the primary contributor to Drake, an open source C++ toolbox created by the MIT Computer Science and Artificial Intelligence Lab (CSAIL) for analyzing the dynamics of robots and building control systems.

Comments

Verify your Comment

Previewing your Comment

This is only a preview. Your comment has not yet been posted.

Working...
Your comment could not be posted. Error type:
Your comment has been posted. Post another comment

The letters and numbers you entered did not match the image. Please try again.

As a final step before posting your comment, enter the letters and numbers you see in the image below. This prevents automated programs from posting comments.

Having trouble reading this image? View an alternate.

Working...

Post a comment

Your Information

(Name is required. Email address will not be displayed with the comment.)