Záznam webináře

Reliably record and make sense of automated driving data

Learn how Simcenter uses smart recording to turn big data into good data

Odhadovaná doba sledování: 36 minut

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To accelerate the development of multi-sensor autonomous driving and advanced driver assistance systems (ADAS), manufacturers of highly automated vehicles embrace smart recording as part of a closed-loop development process. Capturing, storing, anonymizing, analyzing, and replaying terabytes of raw sensor and in-vehicle electronic control unit (ECU) data is crucial in ensuring safe, comfortable, and efficient vehicle operation.

In this webinar, you will learn how to:

  • Guarantee usability from data you have already collected to collecting new data in the future.

  • Retrieve appropriate and relevant data for any scenario at the right time, optimizing the productivity of your staff.

  • Determine the value of your data, regardless of what you record, its usability, accessibility, and searchability.

  • Make all the above possible within legislative and privacy restrictions.

How good is your automated driving data?

Siemens provides a complete integrated solution to make sense of massive amounts of automated driving data from autonomous vehicles and ADAS. Our Simcenter solution captures actual, uncompressed sensor data via an in-vehicle high-speed recorder. It also provides the software to help access, search, and analyze appropriate data for any scenario. And through state-of-the-art anonymization, which still retains facial expressions, you can ensure the data respects legislative and privacy constraints such as GDPR.

Discover how to collect accurate synchronized recordings of multiple data streams in this webinar. Learn how easy-to-use cloud technology can help search and filter quickly, turning big data into good data through advanced automatic annotation, filtering, and applying deep natural anonymization and safety analytics.

Seznamte se s řečníkem

Siemens Digital Industries Software

Robin Neujens

Technical Product Manager

Robin Neujens is responsible for the Simcenter SCAPTOR solutions for ADAS/AV data recording and data management. After graduating from KU Leuven (Group T) with a master’s degree in Applied Mechanical Engineering, he started at Siemens in Leuven, focusing on data recording and processing for vehicle development throughout his entire career. Prior to his current role, he provided technical support for several key accounts in NVH testing. Today, he makes sure the SCAPTOR product development aligns with the industry’s needs and expectations of tomorrow.