3 Pain Points of Data Annotation in Autonomous Vehicles Autonomous Vehicle Safety & Security

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Matrickz offers a holistic solution to address these pain points from test case definitions, annotation, and automation. We take care of everything.



Data annotation is a very important aspect of autonomous vehicles because data is going to be one of its main enablers.



There are 2 kinds of data:

- Data to train

- Data to test



In this video, Lucas van Zuylen will join the discussion about the 3 pain points of data annotation in autonomous vehicles:



1. The Regulation & Data Protection

2. The Safety

3. The Time and The Cost



By the end of this discussion, you will realize how the automotive industry is really complex and how data annotation works in autonomous driving. Data companies are not safety experts and everything that you don’t annotate for, an AI cannot look for.



#autonomousvehicles #dataannotation #annotations #autonomousdriving



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