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New tooling for multi-sensor labeling

New tooling for multi-sensor labeling

What Prompted the Need for Updated Labeling Tooling? Modern vehicles can be equipped with a variety of different sensors for assistance systems or autonomous driving. Common examples are cameras, RADAR and LIDAR sensors and many more. While some assistance functions such as an …

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Autonomous Driving: Synthetic Data versus Real Data

Autonomous Driving: Synthetic Data versus Real Data

Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) have become a hot topic in the automotive industry, with many companies using their highly automated driving functions as a key differentiator to their competition. Most of these functions rely on machine …

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Workshop for the AVEAS Project. Latest developments and key results

Participants of the AVEAS Project workshop discussing the latest developments and key results in autonomous driving technologies.

We are thrilled to share the latest developments of the AVEAS Project with you. This joint project is funded by the Federal Ministry of Economics and Climate Protection (BMWK) with understand.ai as the consortium leader. The AVEAS Project aims to revolutionize the way we collect …

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Graphical representation of the automated annotation system used for scaling ADAS validation, as featured in understand.ai's case study.

Enabling ADAS Validation Scale with Automated Annotation. A case study

By · 5 minutes read

Significance of Ground Truth Labels in Machine Learning

Significance of Ground Truth Labels in Machine Learning

· 3 minutes read