Autonomous vehicles feature a large number of high-resolution sensors used to perceive their surroundings. These sensors create multiple data streams, which have to be merged into an overall environment image. This overall picture of the operating environment then has to be made available for other algorithms such as trajectory planning. Object recognition and sensor fusion are frequently aided by artificial intelligence (AI). To develop, train, and test the complex AI-based systems, a sizeable quantity (petabytes) and quality of data collected during real test drives is required.
Therefore, recording all relevant data plays an essential role in this data-driven development process. The special challenge is to meet the ever-increasing demand for bandwidth. Therefore, a recording system must not only be scalable, it must also be flexibly configurable so that it can be adapted to a variety of vehicle configurations, such as sensor interfaces, buses, and networks.
AUTERA – Shaping the Autonomous Era
Application AreasAUTERA is a new product family dedicated to the development of applications for advanced driver assistance systems (ADAS) and autonomous driving (AD). It can be used to log extensive data volumes during test drives for homologation, replaying data at a later stage, or training neural networks, etc. Therefore, it features a high-performance storage solution, the AUTERA Data Storage Unit (AUTERA DSU), in combination with a high-volume AUTERA Solid State Disk (AUTERA SSD). For convenient and high-speed data upload a dedicated AUTERA Upload Station will be available. Furthermore, the AUTERA AutoBox can be equipped with powerful hardware accelerators, such as graphics processing units (GPUs) or field programmable gate arrays (FPGAs), to develop, validate, and optimize sensor fusion and perception algorithms or neural networks.