Multi-Task Learning using Road Surface Condition Classification and Road Scene Semantic Segmentation

Multi-Task Learning using Road Surface Condition Classification and Road Scene Semantic Segmentation

Understanding road surface conditions is an important component in active vehicle safety. Estimations can be achieved through image classification using increasingly popular convolutional neural networks (CNNs). In this paper, we explore the effects of multi-task learning by creating CNNs capable of...

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Bibliographic Details
Main Author: Westell, Jesper
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för medicinsk teknik 2019
Subjects:
Computer Vision
Deep Learning
Machine Learning
Convolutional Neural Networks
Classification
Semantic Segmentation
Signal Processing
Signalbehandling
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157403

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157403

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