Using the latest machine learning and artificial intelligence techniques, JLR's proposed car will offer a comprehensive array of services to the driver, owing to a new learning algorithm that recognizes who the driver is and learns their preferences and driving style.
The software then applies this learning by using a range of variables including your calendar, the time of day, traffic conditions and the weather to predict driver behaviour and take over many of the daily driving 'chores', allowing the driver to concentrate on the road ahead.
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"The aim of our self-learning technology is to minimize driver distraction, which will help reduce the risk of accidents," Wolfgang Epple, director of research and technology for JLR, said.
"Presenting the driver with information just at the right time whilst driving will reduce both cognitive distraction and the need for the driver to look away from the road to scroll through phone lists, or adjust mirrors, temperature or seat functions while on the road," he said.
Epple added that up until now most self-learning car research has only focused on traffic or navigation prediction.
"We want to take this a significant step further and our new learning algorithm means information learnt about you will deliver a completely personalized driving experience and enhance driving pleasure," he said.
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The intelligent car will recognize the driver by the smartphone or other device in their pocket and by the time the driver has opened the car door, the mirrors, steering wheel and seat settings will all be set to the individual's preferences.
The cabin will be pre-set to the desired temperature — and be intelligent enough to change it if it is snowing or raining.
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