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Autonomous Vehicles
Presentation
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Deep Learning for Autonomous Driving at BMW
Abstract:
This session will discuss the process of training deep neural networks using NVIDIA DGX servers at BMW Group. We will describe our research work in four application areas: fine-grained vehicle representations for autonomous driving, panoptic segmentation, self-supervised learning of the drivable area for autonomous vehicles and neural network optimization. All of these projects require high-performance compute and demand a scalable, agile and adaptive learning infrastructure, leveraging Kubernetes on NVIDIA DGX servers.
 
Topics:
Autonomous Vehicles, AI & Deep Learning Research
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9892
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