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(Master's Thesis)
(Master's Thesis)
 
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== Master's Thesis ==
== Master's Thesis ==
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# ''Convolutional networks for road-scene understanding''
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''Convolutional networks for road-scene understanding''
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To make a vehicle drive autonomously, images from color cameras are segmented into seperate regions representing different classes. Pre-trained deep convolutional neural networks is adapted to perform this task by supplementing with road data, and fusing low/high level information in different layers.
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To make a vehicle drive autonomously, images from color cameras are segmented into seperate regions representing different classes. Pre-trained deep convolutional neural networks is adapted to perform this task by supplementing with road data, and fusing low/high level information from layers of different depth.

Current revision as of 15:07, 11 February 2016

Master's Thesis

Convolutional networks for road-scene understanding

To make a vehicle drive autonomously, images from color cameras are segmented into seperate regions representing different classes. Pre-trained deep convolutional neural networks is adapted to perform this task by supplementing with road data, and fusing low/high level information from layers of different depth.

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