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2017 GTC San Jose

S7190 - Embedded Bayesian Perception and V2X Communications for Autonomous Driving

Session Speakers
Session Description

We'll present technologies developed by the Inria Chroma team that robustly perceive and interpret dynamic environments using Bayesian systems (such as BOF, HSBOF, and CMCDOT) relying on embedded sensors input and V2X communications (vehicle to vehicle and vehicle to infrastructure). These technologies were initially developed in collaboration with industrial partners such as Toyota, Renault, and Probayes SA. We'll demonstrate how heterogeneous sensors can be used efficiently, merged, and filtered in real time into probabilistic grids, and discuss how to compute collision risks in an optimized way on embedded GPU platforms like the NVIDIA Jetson. 


Additional Session Information
Intermediate
Talk
Algorithms Deep Learning and AI Self-Driving Cars
Automotive
25 minutes
Session Schedule