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2017 GTC San Jose

S7823 - Crowdsourcing 3D Semantic Maps for Vehicle Cognition

Session Speakers
Session Description

Extracting context from the vehicle's environment remains one of the major challenges to autonomy. While this can be achieved in highly controlled scenarios today, scalable solutions are not yet deployed. In this talk we explore the crucial role of 3D semantic maps in providing cognition to autonomous vehicles. We will look at how Civil Maps uses swarm methods to rapidly crowdsource these maps, and how they are utilized by automotive systems in real time.

 

 


Additional Session Information
All
Talk
Computer Vision and Machine Vision HD Mapping Self-Driving Cars
Automotive Software
25 minutes
Session Schedule