Colour based semantic image segmentation and classification for unmanned ground operations

To aid an automatic taxiing system for unmanned aircraft, this paper presents a colour based method for semantic segmentation and image classification in an aerodrome environment with the intention to use the classification output to aid navigation and collision avoidance. Based on previous work, th...

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Bibliographic Details
Main Authors: Matthew Coombes, Will Eaton, Wen-Hua Chen
Format: Default Conference proceeding
Published: 2016
Subjects:
Other engineering not elsewhere classified
Unmanned ground operations
Image segmentation
Semantic segmentation
Superpixel
Colour classification
Bayesian network
Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/22729
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