Cutting-edge technology is being pioneered by researchers at Jaguar Land Rover to develop a truly intelligent self-learning vehicle that will offer a completely personalised driving experience and help prevent accidents by reducing driver distraction.
Using the latest machine learning and artificial intelligence techniques, Jaguar Land Rover’s self-learning car will offer a comprehensive array of services to the driver, courtesy of a new learning algorithm that recognises who is in the car 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.
The personalised experience would also not be limited to the car owned by the driver. If you hire an intelligent Jaguar or Land Rover in the future, the car will recognise the driver and passengers and offer them the same preferences learned by their vehicle at home.
Some of the features included in the Self-Learning Car concept:
Vehicle Personalisation – climate, seat, steering wheel, mirrors and infotainment settings.
Destination Prediction – automatic destination entry to navigation system based on historical usage.
Fuel Assist – suggests fuel stations which have the driver’s preferred brand and location, based on historical usage. The car will let you know if you have enough fuel before long journeys the day before you travel.
Predictive Phone Call – predicts who you are likely to call in a certain situation.
Passenger Awareness – will activate passenger preferred infotainment settings and personal climate zones.
Intelligent Notifications – based on traffic situation, the car can alert people that you will be late or provide relevant contextual updates such as flight delays on your drive to the airport.
Auto Adaptive Cruise Control (ACC) – when AACC is activated, the car applies the distance setting and acceleration profile it has learned when the driver is driving the vehicle.