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2017 GTC San Jose

S7304 - Reconstructing Traffic Intersections with Deep Semi-Supervised Learning

Session Speakers
Session Description

Detecting objects at traffic intersections—whether they are pedestrians, bicyclists, or other vehicles—is essential to ensure efficient traffic flow and safety. We'll present methods to reconstruct a traffic scene from the vehicle's point of view, using multiple cameras placed on the vehicle, and share a mixture of deep semi-supervised learning models to infer objects from the scene. We'll also demonstrate how we optimized our models to run on the Tegra SoC, used in NVIDIA's Jetson TX1 and the DRIVE PX platforms. Participants are expected to be familiar with basic probability concepts and GPU programming with CUDA.

 


Additional Session Information
Advanced
Talk
Deep Learning and AI Self-Driving Cars
Automotive Cloud Services
25 minutes
Session Schedule