Toyota Research Institute Rolls Out P4 Automated Driving Test Vehicle At CES

January 3, 2019 by Toyota

•Next-generation workhorse derived from all-new Lexus LS 500h joins automated test fleet in spring

•Toyota Guardian and Chauffeur Automated System Development Accelerates

LOS ALTOS, Calif. (Jan. 3, 2019) – Next week, the bright lights of Las Vegas will once again shine on the Toyota Research Institute (TRI) when it introduces the TRI-P4 automated driving test vehicle on Jan. 7 at CES®. The P4 is based on the all-new fifth-generation Lexus LS flagship sedan and will be used in TRI's two-track Guardian and Chauffeur automated driving system development.

'Our Chauffeur development is focused on full autonomy, where the human is essentially removed from the driving equation, either completely in all environments, or within a restricted driving domain,' said Ryan Eustice, senior vice president of automated driving at TRI. 'Guardian, on the other hand, is being designed to amplify human performance behind the wheel, not replace it. The introduction of the new P4 platform will help us accelerate the development of both tracks when it joins our fleet this spring.'

The P4 benefits from Lexus' new generation of chassis and steering control technology, which provides greater agility and allows for more responsive and smoother maneuvers during automated driving.

P4 adds two additional cameras to improve situational awareness on the sides and two new imaging sensors – one facing forward and one pointed to the rear – specifically designed for autonomous vehicles. The imaging sensors feature new chip technology with high dynamic range. The radar system has been optimized to improve the field of view, especially for close range detection around the vehicle perimeter. The LIDAR sensing system with eight scanning heads carries over from the previous test model, Platform 3.0, and morphs into the new vehicle design.

P4 is a much smarter research vehicle than its predecessor. With greater computing power, its systems can operate more machine learning algorithms in parallel for faster learning. It can process sensor inputs faster and react more quickly to the surrounding environment. All computing system power is now drawn from the vehicle's hybrid battery with the 12v battery now serving only as a backup.

The compute box in the trunk, which serves as the 'brain' of the automated driving system, has been reimagined. It is now tucked vertically against the rear seat transom, folding down to access the circuitry. This frees up the entire floor of the trunk for hauling cargo.

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TRI once again tapped CALTY Design Research in Ann Arbor, Mich. to handle styling.

'We took a holistic approach to integrating autonomous componentry into the design of the new LS,' said Scott Roller, senior lead designer at CALTY Design Research. 'The result is a fluid surface embracing advanced technology loosely inspired by science fiction in the graphic separations between form and function.'

TMNA R&D's Prototype Development Center in York Twp., Mich. will begin fabricating P4 vehicles from stock models this spring.

P4 will make its public debut during Toyota's CES press conference at 1:00 p.m. PT on Jan. 7. As part of the event, TRI CEO Dr. Gill Pratt will present recent technological advances in its Guardian automated driving.

Media can also see P4 on display in the Lexus exhibit at Detroit's Cobo Center during media preview days of the North American International Auto Show on Jan. 14 and 15.

About Toyota Research Institute

Toyota Research Institute is a wholly owned subsidiary of Toyota Motor North America under the direction of Dr. Gill Pratt. The company, established in 2015, aims to strengthen Toyota's research structure and has four initial mandates: 1) enhance the safety of automobiles, 2) increase access to cars to those who otherwise cannot drive, 3) translate Toyota's expertise in creating products for outdoor mobility into products for indoor mobility, and 4) accelerate scientific discovery by applying techniques from artificial intelligence and machine learning. TRI is based in the United States, with offices in Los Altos, Calif., Cambridge, Mass., and Ann Arbor, Mich. For more information about TRI, please visit http://tri.global.