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Creating an intelligent self-learning vehicle


-The intelligent car will have its own on-board ‘Smart Assistant’ to carry out a host of functions to allow the driver to concentrate on driving
-The ground-breaking system will minimise driver distraction to reduce the potential for accidents – with an eventual goal of zero accidents
-New state-of-the-art software recognises the driver and learns their preferences. It can then predict their routine and changing preferences based on variables such as the weather and their schedule for the day
-The ‘Smart Assistant’ will check your calendar in advance and remind you to take your child’s sports kit to sports day
-The self-learning car will learn an individual’s driving style and apply them when Auto Adaptive Cruise Control (AACC) is engaged

Whitley, UK: 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.

Dr Wolfgang Epple, Director of Research and Technology for Jaguar Land Rover, said: “The aim of our self-learning technology is to minimise driver distraction, which will help reduce the risk of accidents. 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.

“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 personalised driving experience and enhance driving pleasure.”

The intelligent car will recognise 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.

Through the ‘Smart Assistant’, the car will also review your schedule for the day and intelligently pre-set the navigation depending on traffic conditions to avoid congestion. It will also predict your next destination based on your schedule.

The self-learning car will also know if you are going to the gym, and will have learnt that you prefer a certain temperature on the way there to warm-up, and a different temperature to cool down on your way home. If you always use the massage function at a particular time or location on a journey, the car will be able to predict this as well.

If you are taking the children to school, the car will recognise every passenger and offer each their own preferred infotainment options – and the ‘Smart Assistant’ will review your calendar and remind you before you leave the house - by sending a note to your smartphone - to collect your children’s sport kit as it knows you are going to their sports day.

If you usually make a phone call at a certain time or on a particular journey, the car will predict this and will offer to make the call. If you are going to be late for your next appointment, the car will offer to email or call ahead with minimal or no interaction from the driver.

The self-learning car will also be able to learn an individual’s driving style in a range of traffic conditions and on different types of road. When the driver activates Auto Adaptive Cruise Control (AACC) the car will be able to apply these learned distance settings and acceleration profiles to automated cruise control.

“By developing a learning function for Adaptive Cruise Control, it is technology concepts like the self-learning car that will ensure any future intelligent car remains fun and rewarding to drive as we move closer to more autonomous driving over the next 10 years,” added Dr Epple. “This is important because in the future customers will still want an emotional connection and a thrilling drive - with the ability to drive autonomously when required.”

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 (AACC) – when AACC is activated, the car applies the distance setting and acceleration profile it has learned when the driver is driving the vehicle.
Jaguar Land Rover has revealed some of its future technologies, which could usher in the end for conventional instrument packs and conventional headlights.

Displayed at its research and development centre in Gaydon, Warwickshire, the company says it is working on ‘virtual windscreens’ and a new lighting and vehicle guidance system powered by lasers.

Research engineer Paul Widdowson demonstrated JLR’s advanced work in using ‘structured light’ as a way of both projecting images onto the road surface and for mapping the topography rough ground ahead of the car.

JLR is experimenting with laser projections that lay down a grid or box shape that’s the same width as the vehicle on the road surface a few metres ahead of the car. This would allow the driver to judge the car’s width with extreme accuracy, a very useful benefit on crowded city streets.

These laser projections could also be used to project animated arrows on the road surface, showing a vehicle’s intent to make a turn more clearly than easily obscured indicator units. The ‘structured lights’ could also be used for working out the depth of water the driver is about to wade through as well as mapping off-road surfaces ahead of the vehicle.

In theory it could also be used on road surfaces to provide hyper-accurate information for an active suspension system. The accuracy of the information provided by laser projections also means that they can be used as safety sensors for parking or pedestrian avoidance.

Perhaps the most radical use for the new laser technology is a replacement for conventional headlamp units. The light beams – which are projected from tiny light units - are easy to place accurately, allowing, for example, road edges to illuminated without using a conventional high beams.

Because the light is sent from the power units along a fibre optic cable, future laser headlamps could be much small and less bulky than today’s units, opening the way for a significant shift in car design. Reducing the bulk of headlamp units could also improve pedestrian safety.

Widdowson revealed that his team is already talking to suppliers about prototyping the idea and getting enough power for 2500 Lumens in a package volume of around 0.5-litres.

The firm's new virtual windscreen technology enables various information to be projected on the screen, including sat-nav information, hazard warnings and most of the information that appears on conventional instrument packs.

Unlike conventional head-up displays, which only project onto a small area of the windscreen, the JLR system uses the whole ‘screen as a head-up display. JLR engineers say that for track driving, the system could used to display correct racing lines and braking points and even show a virtual row of cones.

Also being worked on for the future are hand gesture controls – which JLR demonstrated for opening and closing a sunroof – and a 3D instrument cluster, which was particular effective in sat-nav mode, showing a live 3D simulation of the immediate streetscape.

JLR says future cars will also sync with the driver’s phone, using future appointments, traffic and weather reports to configure the car automatically. This could see a car being pre-warmed in cold weather, with the heated seats and steering wheel activating automatically. Individual driver preferences for driving position and entertainment sources will also be activated automatically.

Future cars could also take into account the driver’s mood and wellbeing, using information from a smart watch or wristband.

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It all does seem very futuristic. Learning about you and predicting everything. I just wonder how good it really is. Will I like the music it picks up for me, or will I end up choosing anyway? Will it get my routine right, or will it be more work to correct it all the time? I'm interested to see it in real life.

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771 Posts
It all does seem very futuristic. Learning about you and predicting everything. I just wonder how good it really is. Will I like the music it picks up for me, or will I end up choosing anyway? Will it get my routine right, or will it be more work to correct it all the time? I'm interested to see it in real life.
well put

as good as this may look 'on paper' it still is something we need to experience or at least hear and see what a journalist has to say about it.
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