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.
#autonomouscars #artificialintelligence #selfdrivingcars
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