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(Ny side: == Master's Thesis == * ''Convolutional networks for road-scene understanding'' To make a vehicle drive autonomously, images from color cameras are segmented into seperate regions represent…)
(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''
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.
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.

Versjonen fra 11. feb 2016 kl. 15:05

Master's Thesis

  1. 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 in different layers.

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