Automated driving functions and autonomous driving fundamentally influence the way we will move in future. Validating these functions require systems that recognize the various scenarios in road traffic during test drives, evaluate them, and prepare them for the developers. The global vehicle developer, FEV, is overcoming this central challenge with a data management and assessment system developed in house, which uses the computing power of Microsoft’s cloud platform Azure. The system will be presented at the International Motor Show (IAA) from 10 to 15 September 2019 in Hall 5.0, booth C21.
By today’s estimates, test scopes of 240 million to 16 billion kilometers of road* are needed to validate an automated driving function. However, it is not the quantity of tests that determines the maturity of a system, but the number of road traffic situations “experienced” in which the algorithms have to actively make a decision – for example, during an overtaking maneuver on the highway.
In this regard, the V2I (Vehicle-to-Infrastructure) data management system established by FEV is an efficient solution for the development and validation of such driving functions. This is because aside from the duration and number of test drives, the quantities of data obtained are also a major challenge with regard to the validation. The sensor set installed in the vehicle, consisting of cameras, lidar (light detection and ranging), and radar (radio detection and ranging), quickly generates up to 40 terabytes of data in a single day.
That is precisely what the data management solution from FEV deals with. First, a networked data logger developed in-house takes over the collection of selected vehicle signals and sends them to a back-end in real time during the test drive. With Microsoft Azure and Azure IoT Hub transferring the data, FEV was able to build on an established, high-performance, highly secure cloud platform. The sent vehicle data is consolidated in the cloud, while algorithms analyze these signals in regards to relevant scenarios. It is therefore possible to send feedback to the relevant engineers even during test drives, and to flexibly coordinate entire fleets according to a predefined plan.
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SOURCE: FEV
