Efficiently capturing and managing the massive sensor data volumes required for ADAS and automated driving test and validation – up to hundreds of terabytes of data every day – poses a major challenge for the automotive industry.
In this webinar, we discuss how a data-driven development toolchain allows worldwide distributed engineers to test and validate algorithms and functions more efficiently.
Key topics and takeaways:
- Core tasks in the development process
- Best practices to optimize testing & validate algorithms against large amounts of data
- Live-demo of the cloud-based data management platform EB Assist Test Lab
Cloud-based validation toolchain for automated driving: EB Assist Test Lab