Video: Why is Automated Labeling Essential for Autonomous Driving?

  • Automotives
  • Advanced Driver Assistance Systems
  • Autonomous Driving
  • Data Logging

49:13min

Overview

This webinar explores the process of performing data annotation (labeling data) to train artificial intelligence (AI) applications used in autonomous driving. The benefits of utilizing humans to annotate data vs. an automation engine will be explored. The following questions will be addressed:

  • How big is the volume of data that needs to be labeled for AI applications?
  • Are there limitations to manual labeling, or can all data annotation be completed by human workers?
  • How does manual labeling work? Where do labelers spend most of their time?
  • How does the data annotation process change when an automation engine is introduced?
  • How significant is the impact of automation?

Hosts

Daniel Rödler

Daniel Rödler

Data Enrichment UAI

Drive innovation forward. Always on the pulse of technology development.

Subscribe to our expert knowledge. Learn from our successful project examples. Keep up to date on simulation and validation. Subscribe to/manage dSPACE direct and aerospace & defense now.

Enable form call

At this point, an input form from Click Dimensions is integrated. This enables us to process your newsletter subscription. The form is currently hidden due to your privacy settings for our website.

External input form

By activating the input form, you consent to personal data being transmitted to Click Dimensions within the EU, in the USA, Canada or Australia. More on this in our privacy policy.