User:Kaiaw
From Robin
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''Convolutional networks for road-scene understanding'' | ''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 | + | 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.