Image segmentation for automated taxiing of unmanned aircraft

This paper details a method of detecting collision risks for Unmanned Aircraft during taxiing. Using images captured from an on-board camera, semantic segmentation can be used to identify surface types and detect potential collisions. A review of classifier lead segmentation concludes that texture f...

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Bibliographic Details

Main Authors:	William H. Eaton, Wen-Hua Chen
Format:	Default Conference proceeding
Published:	2015
Subjects:	Other engineering not elsewhere classified Autonomy Manned/unmanned aviation See-and-avoid systems Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/18165
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