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A multi-layered approach for site detection in UAS emergency landing scenarios using geometry-based image segmentation

By Luis Mejias and Daniel L. Fitzgerald


This paper presents an alternative approach to image segmentation by using the spatial distribution of edge pixels as opposed to pixel intensities. The segmentation is achieved by a multi-layered approach and is intended to find suitable landing areas for an aircraft emergency landing. We combine standard techniques (edge detectors) with novel developed algorithms (line expansion and geometry test) to design an original segmentation algorithm. Our approach removes the dependency on environmental factors that traditionally influence lighting conditions, which in turn have negative impact on pixel-based segmentation techniques. We present test outcomes on realistic visual data collected from an aircraft, reporting on preliminary feedback about the performance of the detection. We demonstrate consistent performances over 97% detection rate

Topics: 080104 Computer Vision, 090104 Aircraft Performance and Flight Control Systems, UAV Forced Landing, UAS, UAV, Vision-Based Forced Landing, CEDM
Publisher: IEEE Control Society
Year: 2013
DOI identifier: 10.1109/ICUAS.2013.6564710
OAI identifier: oai:eprints.qut.edu.au:60550

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