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GTC ON-DEMAND

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Abstract:

Hear the latest thinking on the maps that autonomous cars will use for highly accurate positioning. Autonomous cars need maps to function. The most critical use of maps is centimeter-level positioning. TomTom solves this with highly accurate lane information and lateral depth maps, which we call RoadDNA. Autonomous driving and map creation have incredible synergy. Mobile mapping cars go through the exact same process as autonomous cars: sensor perception, sensor data processing and comparing it with a stored version of reality. We process the sensor data with GPUs for fast creation of deep neural networks (DNNs) that can recognize traffic signs and other road attributes, both in-car as well as in the cloud. These DNNs, RoadDNA and sensors in the car together enable autonomous cars.

Hear the latest thinking on the maps that autonomous cars will use for highly accurate positioning. Autonomous cars need maps to function. The most critical use of maps is centimeter-level positioning. TomTom solves this with highly accurate lane information and lateral depth maps, which we call RoadDNA. Autonomous driving and map creation have incredible synergy. Mobile mapping cars go through the exact same process as autonomous cars: sensor perception, sensor data processing and comparing it with a stored version of reality. We process the sensor data with GPUs for fast creation of deep neural networks (DNNs) that can recognize traffic signs and other road attributes, both in-car as well as in the cloud. These DNNs, RoadDNA and sensors in the car together enable autonomous cars.

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Topics:
Autonomous Vehicles, Artificial Intelligence and Deep Learning, Big Data Analytics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6849
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