AD and ADAS development specialist b-plus will host a digital symposium, ‘The Data Sushi Lessons’, on February 9-10, and, alongside partners Bertrandt, Deutronic, IBM, Incenda AI and Zukunft Mobility (ZF), will also offer a free two-day lecture program.
According to the company, a holistic process for handling raw sensor data and developing autonomous driving test systems and ADAS functionalities will be presented.
The company states that attendees will gain an insight into how automotive raw sensor data is acquired, stored, processed, replayed and simulated into valid and meaningful test data. Other sections covering the management of test data such as the precise setup of test vehicles and modern fleet management will also be included.
Together with its partners, b-plus hopes to answer the following questions and insights in ECU development:
- Why data collection of raw and meta data combined is significant.
- The pitfalls of developing a total solution for test setups of ADAS/AD test carriers and test vehicles. What challenges do subsystems such as HMI, power supply and cooling pose?
- How test fleet efficiency vastly increases through the use of meta data.
- The important role of the high-voltage converter in the vehicle electrical system and its provided power supply data.
- HiL-based validation of automotive radar ECUs with specific test system architectures.
- How high-performance Ethernet switching technology enhances the ADAS/AD development toolchain.
- Advantages of a consistent HiL strategy and the differences of open and closed loops.
- Big data management and how to keep it scalable and flexible, but also cost optimized.
- What data enrichment and smart recording enhance, based on AI methods.
- How the pre-selection of quality data improves the efficiency of data sets already during the recording by using AI algorithms.
After each presentation, there will be the opportunity to ask questions, discuss with the speaker in the virtual room and get in touch with product experts in one-on-one meetings.
The detailed conference program, speaker introductions and free registration are available on the Data Sushi Lessons event page.