Navigation systems are popular, in order reliably to the destination. The BMW Group Research and Technology opens up an entirely new potential route finder by those equipped with artificial intelligence and teaches them to learn. Future navigation systems can also enter without a goal prior warning or traffic congestion to reducing consumption.

Learning and perspectives
The BMW 3 Series, which the researchers have reconstructed as prototypes, the navigation destination entry, even without predicting where the drive to go and which route is chosen. Self-learning route estimation identifies the project manager Andreas Winckler and declares: “We are working to ensure that vehicles not only to the commands of the driver to react, but forward-looking action. We can then the car is conditioned on future events. That means: more comfort, more dynamic and all this in less consumption – as EfficientDynamics.

For this perspective must first learn the navigation system. For each driver is a protected profile, the information about his trips stores. Objectives, abbreviations and surreptitious means, as well as time and the seat occupancy can serve as an information. Andreas Winckler has already tested: “Monday morning my car holds the road to the most likely to work for. Is my child in the car, the navigation also plans to go to kindergarten one. Saturday morning And my personal route planner estimates that the sport is. ” For such predictions, the system of researchers is now quite reliable. Was it the beginning of the project still only 30% of cases on the right track, the hit rate has now increased to nearly 70%.

More comfort, more dynamism, more efficiency
With all this information is the journey a lot more comfortable. Timely warnings jam, the quick selection of the most likely – not the last or stored – target, and the synchronization with the individual in the calendar smartphone, only the first of many possible ideas.

True, it will be interesting when the vehicle navigation system with the internal systems will be networked. For the information of intelligent navigation with the power of BMW EfficientDynamics measures combined. The braking energy recovery is now only in the shear mode, for example, until the actual downhill driving. With a forward-navigation already then they can save fuel, if the gap still lies ahead. It is known that there the battery is full. Power even with the driver and uses the information that in 500 meters, one for him yet hidden speed limit exists on gently to delay, rather than on the brakes abruptly to rise, with proactive management in the future energy consumption by 5-10% compared will. Other hand, the highway before the burning procedure converted the engine oil and coolant temperature and the automatic gearbox on the impending switching operation prepared. For the acceleration process in the driveway in order to gain momentum. “With the concept of an intelligent learning navigation in a vehicle to integrate, we will be able to BMW EfficientDynamics our strategy to further refine and implement consistently,” said Professor Raymond Freymann, Head of BMW Group Research and Technology.

Expandable
The developers are working to further tap potentials. Especially for hybrid technology, information, eg 30s lying on the pre-smoking and the length of interest to charge the battery accordingly and efficiently as possible. In the prototype of the BMW Group Research and Technology Ltd. also runs the camera for the new BMW 7 Series with the traffic sign recognition. She brings the navigation device is still unknown at speed limits. Also curve radii and height profiles, the vehicle sensors to the body in the smart car supply. Robert Hein, head of navigation and data services of the future, has much that “networking is the buzzword of the future. The advantage of innovations such as intelligent navigation is learning that we have no additional serious control in your car need. At the moment, the bottleneck for implementation, however, the demand for space. But we are confident that this is the next generation of vehicles could be already solved.

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