THE Toyota explores the possibility of using its technology autonomous driving for the development high-tech assistance systems, which will cooperate with the driverrather than replacing him completely.
His approach Toyota Research Institute (TRI) includes three main categories: driver-oriented training, performance and safety driver/vehicle and the autonomous driving through collaboration.
For driver oriented trainingToyota uses data-driven learning techniques for creation models of human behavior. Thus, it will ensure that the technology is able to correctly interpret what the driver needs“reading” them intentions his, but also him way he would like to react in various conditions.
In the area of driver/vehicle performance and safety, the Japanese company seeks to develop autonomous driving technology which is as capable as the best drivers.
Her part autonomous driving through driver and systems collaborationincludes a prototype vehicle, the Global Research Innovation Platform (GRIP), which is quad-addressable. The GRIP was designed to help drivers to learn how to deal with emergencies in one more controlled environment.
Toyota has also developed the “Driving Sensei» a concept technology that uses artificial intelligence to help drivers master drifting skills through a combination of low-speed gliding and instructions from artificial intelligence.
The new technology has already been applied to one Toyota Suprafocused on learning the secrets of drifting to drivers and in one fully autonomous Lexus LC500which was aimed at her avoid objects while moving at high speed.
The Toyota he doesn’t just want to develop tools for learning the basics of drifting, but also to examine how drivers learn. Her research has enabled her development of learning tools that do not lead to dependence on the guide, but keep the difficulty low to allow progress and encourage learning.
The company claims that the target of this technology is to help drivers develop the skills they need to deal with situations which they are likely to encounter in the real world, such as the sudden appearance of ice on the road.
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