Data Annotation

  • 自動車
  • 先進運転支援システム (ADAS)
  • 自動運転
  • データ・リプレイ

08:14min

概要

To make the vision of #AutonomousDriving a reality, testing and validation processes require huge amounts of data.

To train their perception and navigation routines, self-driving vehicles are presented with testing footage and annotated objects like cars, pedestrians and road signals.

While these #annotations were done manually in the past, the increasing complexity of autonomous driving functions and validation requirements have multiplied the amount of required testing kilometers - and therefore the amount of objects to be annotated. To handle these billions of objects, understand.ai develops efficient solutions for automated annotation via artificial intelligence.

Watch our newest #InnovationCoffeeBreak, hosted by understand.ai, to learn how this automation can save you cost and time.

Are you interested in more information about the understand.ai automation engine? Then just head over to: https://understand.ai/

#autonomouscars #artificialintelligence #selfdrivingcars

ホスト

Daniel Rödler

Daniel Rödler

Data Enrichment UAI

最新の技術開発動向をつかんで、イノベーションを加速。

メールマガジンの購読希望・変更/配信停止手続き

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.