Terrain Classification to find Drivable Surfaces using Deep Neural Networks : Semantic segmentation for unstructured roads combined with the use of Gabor filters to determine drivable regions trained on a small dataset

Terrain Classification to find Drivable Surfaces using Deep Neural Networks : Semantic segmentation for unstructured roads combined with the use of Gabor filters to determine drivable regions trained on a small dataset

Autonomous vehicles face various challenges under difficult terrain conditions such as marginally rural or back-country roads, due to the lack of lane information, road signs or traffic signals. In this thesis, we investigate a novel approach of using Deep Neural Networks (DNNs) to classify off-road...

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Bibliographic Details
Main Author: Guin, Agneev
Format: Others
Language:English
Published: KTH, Robotik, perception och lärande, RPL 2018
Subjects:
Semantic segmentation
Deep learning
Gabor filters
Drivable surfaces
Robotics
Robotteknik och automation
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-222021

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-222021

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