In the field of driverless and connected cars different players. Because of the big names in the car for a mobile business, such as Mercedes, Tesla, VW, or BMW. However, in addition to Expertise in the production, especially experience in dealing with data is for the progress in Autonomous Driving is essential.
This brings the second group of providers: the large technology companies such as Google or Uber. Logically, that many of the classic manufacturers to join forces with experts in the field of data. So, Fiat Chrysler, and Honda to work together with the Google subsidiary Waymo, and BMW has Recently announced the partnership with Intel and Mobileye.
But what data are we talking about? To create intelligent vehicles user profiles. The System processes information from various data sources. Native data, such as Temperature or speed, anyway. In addition, modern vehicles have six to eight HD cameras, which observe the environment and the interior of the vehicle. A single generated per second, 150 megabits of data.
To the other manufacturer test lead rides. Tesla, so far, 780 million test kilometres covered, and all ten hours of a Million would be added. These data contain information that contribute to the improvement of the systems of Autonomous driving. The more kilometres are driven, the more learning material is available to the car. The more learning there is, the better the basis for decision-making for specific situations. In this way, the intelligence of the systems is increased. The growth of the data that are processed directly in the car is constantly on the rise, the car will always be more to the data center. It is not about to transfer all the data. The car must be able to decide, especially in dangerous situations.
How much data is shown with the example of an Autonomous Google car. According to the manufacturer’s information this will generate a Gigabyte of data per second. A Federal citizen travels an average of 114 hours per year, car, a half a Petabyte of data would be required. 45 million vehicles on German roads, are we alone in the German room on an unimaginable number of 22.5 zettabytes per year. Without efficient data management systems, it is almost impossible to transmit this amount of data and clean to evaluate. The practice confirms this: The demand for cost-efficient and bandwidth-efficient data management solutions.
Another reason is the insufficient bandwidth. Even the new mobile radio standard 5G to be introduced in 2018, is launched in combination with the in-car quantities of data to its limits. The bandwidth will always lag behind, which is why the focus must be in the processing of the data is not on the Expansion of the bandwidth, but on the improvement of intelligent systems.
The size of the hoarding is also the question of who owns the collected data actually moves seemingly in the Background. All of the data generated in the vehicle, are considered to be “persons” within the meaning of the Federal data protection act (BDSG) and the new data protection regulation, if they are linked to the vehicle identification number or license plate. In principle, we can say: anyone Who buys a “smart car”, the decision on the use of data. Practically this Problem can, however, not so easy to answer, because hot on the information are many: The engine manufacturer is hoping for insights from the Sensors in its engines that insurance companies build their offer in accordance with terms and phrases such as “pay as you drive”, tire manufacturer, and workshops are interested in the way of driving, to be able to offer individually align. Further thought would no longer service intervals due to static after 35,000 miles, but the optimum time to be derived from the user profile.
Unfortunately, we are still in a grey zone, and many providers, even in other industries, try these problems to regulate the Terms and conditions. Ten pages of more than a hundred so quickly. Because it comes to data sovereignty, data privacy and who has access to what data. Of course, there are other approaches, such as users and producers can agree on. Data against reduction of the lease Rate, for example. 20 Euro discount per month may sound tempting – whether users consider the Deal to still be as positive when you are bombarded with advertising on your Smartphone, is questionable. Here the circle closes: The decision of the extent to which we personally collected data, is ourselves.