BMW Automated Vehicle Technology


Moving rapidly toward the future of motoring, BMW is developing, well, completing it’s automated driving system.

The most recent advancement is letting lose an automated prototype on the Autobahn! Now, Germans must have great confidence in this system and it must be working very well, so they allowed it on the road. Still, they put a driver in there, just in case anything goes wrong!

The prototype system reacts to the situation by allowing the merging vehicles to join the traffic flow, and it can even change lanes giving the merging vehicles adequate space to enter traffic safely. This is possible up to a speed of 130 km/h, but in compliance with current traffic regulations regarding speed limits and such things as prohibited passing zones.

bmw auto BMW Automated Vehicle Technology

More details in press release below:

“This is an entirely new situation and experience for the driver – it is a strange feeling handing over complete control of the car to an autonomous system. But after a few minutes of experiencing the smooth, sovereign and safe driving style, drivers and passengers begin to relax somewhat and  trust the independent system,” says Nico Kämpchen, Project Manager for Highly Automated Driving at BMW Group Research and Technology.“ Nevertheless, the driver is still responsible for the situation at all times and must constantly keep an eye on traffic and the surroundings.”

Precursors and basis – the BMW TrackTrainer and the Emergency Stop Assistant.

The groundbreaking technology needed for automated driving assistance systems was developed by engineers at BMW Research and Technology in two pioneering projects that brought forth the BMW TrackTrainer and the Emergency Stop Assistant. The BMW TrackTrainer supports autonomous driving on competition race courses. With the precision of the localisation a safe and yet very dynamic driving style can be realised. The TrackTrainer is currently used in BMW driver training sessions to give participants a genuine feel for the racing line – they experience it behind the wheel and not from the passenger seat. With merged data from an exact digital map, along with GPS and video data, the TrackTrainer can autonomously guide a vehicle along the racing line of a complete race track for training purposes. The system is already in the second generation, featuring optimised and precise position localisation achieved by merging redundant sensors. The constant comparison of GPS and video data with the digital maps and internal vehicle data was used to automatically guide a vehicle around the legendary North Loop of the Nürburgring on 21 October 2009. Then on 25 May 2011, the BMW TrackTrainer performed a similar feat at the Laguna Seca Raceway in California, demonstrating that fast and dynamic automated driving is indeed possible.

“The main difference between the sessions at the rack track and trials on the motorway is that we are not alone when driving along a public motorway. That is why we were interested in learning about the developments in the Emergency Stop Assistant Project to ensure safety in our own undertaking,” explains Nico Kämpchen.

The emergency stop assistant prototype realized by BMW is yet another milestone in the development of automated functions for assisted driving. The system is part of the SmartSenior Initiative of the Federal Ministry of Education and Research in Germany which was launched in May 2009. The system incorporates innovative technologies for controlling and pinpointing the location of a motor vehicle and analysing the vehicle environment for added safety. If a driver loses control of a vehicle – for example due to a health emergency – the emergency stop assistant can detect the situation and autonomously take control of the car and bring it to a safe stop. The system activates the emergency flashers, carefully monitors traffic and guides the vehicle to the right shoulder of the road. Then an emergency call is automatically sent out to inform authorities of the situation, including information for emergency medical teams to ensure a quick and efficient response. This is all based on the Advanced Emergency Call function from BMW ConnectedDrive that is already available as a feature for production automobiles. This project served as the foundation for the environment recognition function that is used in automated motorway driving.

Automated future scenariosParking Assistant and Traffic Jam Assistant from BMW ConnectedDrive in the BMW i3 Concept.

Research will continue on automated vehicles equipped with advanced driver assistance systems in order to develop innovative assistance functions for the future. Examples are the Parking Assistant and Traffic Jam Assistant in the BMW i3 Concept. Since the BMW i3 Concept is primarily designed as an urban vehicle, it is equipped with functions that make parking easier and driving in congested traffic less stressful. The park assistant automatically parks the vehicle without any driver intervention. The car accelerates and brakes on its own, and shifts gears from forward to reverse as needed when difficult parking manoeuvres are required. The Traffic Jam Assistant helps drivers in rather monotonous traffic situations and congested areas, taking over so that the vehicle can “go with the flow” and the driver can relax. It maintains a safe distance between vehicles and automatically controls the speed and steering, and is able to stop the car if necessary. As long as the driver keeps one hand on the steering wheel, the vehicle can provide assistance in keeping the car precisely in its lane at speeds up to 40 km.

Automated driving on motorways provides important information and experience that is essential in developing technologies that assist in keeping vehicles safely on track, and this information will influence future strategies for advanced driver assistance.

“The next thing we want to ‘teach’ our prototype is how to deal with road construction sites and motorway junctions. Construction sites are a big challenge because they take on all kinds of forms, which makes detection, localisation and determining the right vehicle response quite difficult.” Nico Kämpchen and his team have plenty of work to do and are looking forward to finding solutions to these challenges as well.

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