Toyota autonomous driving: third research facility announced

Toyota is to open a third Toyota Research Institute facility in the USA, which will fund studies into artificial intelligence, materials science and robotics. It will be located in Ann Arbor, close to the University of Michigan campus.

The new centre, known as TRI-ANN, is due to open in June this year and is set to build a 50-strong team. It will join the TRI facility which opened in Palo Alto in January (TRI-PAL) to work with Stanford University, and TRI-CAM in Cambridge, which works with the Massachusetts Institute of Technology.

Dr Gill Pratt, TRI Chief Executive, speaking at the GPU Technology Conference in San Jose yesterday (7 April) explained the decision to locate at Ann Arbor reflected the links Toyota has with the community and the benefits to be gained from close proximity to the university and facilities such as the Toyota-sponsored Mobility Transformation Center.

Toyota also has two well-established technical centres nearby, which have been researching the concept of autonomous vehicles for more than a decade.

See also: Toyota links up with US universities to develop intelligent vehicles

A group of about 15 team members will transfer to the new TRI-ANN facility when it opens, together with University of Michigan professors Ryan Eustice and Edwin Olson, who will be area leads respectively for mapping/localisation and perception.

Professor Olson commented: “Sensor hardware and algorithms are improving at a tremendous pace. TRI researchers will push the frontier even further, resulting in safer vehicles and more helpful robots in the home.”

Professor Eustice added: “Ann Arbor is a fantastic location for TRI to expand its autonomous driving efforts. We will benefit from Toyota’s existing team and the University of Michigan’s research talent and facilities where we can perform extreme-limit testing in a wide variety of environments.”

Each TRI facility will have a different core discipline: TRI-ANN will focus primarily on fully autonomous (chauffeured) driving; TRI-PAL will work on so-called “guardian angel” driving, where the driver is always engaged, with the vehicle assisting when needed; and TRI-CAM dedicating a large part of its work to simulation and deep learning.

See more: Toyota to establish artificial intelligence research and development company

The Toyota Research Institute is an enterprise designed to bridge the gap between fundamental research and product development. With initial funding of $1 billion, it has four initial mandates.

The first is to strive to enhance automobile safety with the ultimate goal of creating a car that is incapable of causing a crash, regardless of the skill or condition of the driver.

The second is to work to increase access to vehicles for those who otherwise could not drive, including older people and those with special needs.

The third is to help translate Toyota’s expertise in creating products for outdoor mobility into products for indoor mobility.

Finally, TRI will accelerate scientific discovery by applying techniques from artificial intelligence and machine leaning, particularly in the sphere of materials science. This will also help reduce costs and improve the performance of future mobility systems.

Beyond these, TRI is engaging in multiple projects with the three universities and is also pursuing collaboration with other car makers, IT companies, suppliers, research labs and academic institutions for the joint development of autonomous technologies.

Dr Pratt said: “Although the industry, including Toyota, has made great strides in the last five years, much of what we have collectively accomplished has been easy, because most driving is easy. Where we need autonomy to help most is when the driving is difficult. It’s this hard part that TRI intends to address.

“Toyota’s goal is safe mobility for all, at any time, in any place, and the tremendous improvements in quality of life that such universal mobility can bring.”

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