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<title>Obstacle detection algorithms for rotorcraft navigation</title>
Author(s) -
N. N. Mhala Vidya S. Pande,
Ying Huang,
Anand Narasimhamurthy,
Octavia Camps,
Rangachar Kasturi
Publication year - 2002
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.474418
Subject(s) - clutter , pixel , computer vision , obstacle , computer science , artificial intelligence , detector , enhanced data rates for gsm evolution , algorithm , set (abstract data type) , edge detection , hazard , graphics , image processing , image (mathematics) , computer graphics (images) , radar , telecommunications , chemistry , organic chemistry , political science , law , programming language
Wires can be hardly visible and thus present a serious hazard to rotorcrafts flying at low altitudes. Vision systems capable of detecting wires in time to avoid collisions must be able to find in the input images curves less than one or two pixels wide. This paper describes a study on the performance of wire detection using a sub-pixel edge detector algorithm proposed by Steger. This algorithm was tested on a set of images synthetically generated by combining real outdoor images with computer generated wire graphics. Its performance was evaluated both, at the pixel and the wire levels. It was observed that the algorithm performs well, provided that the wires are not too thin (or distant) and that some post processing is performed to remove false alarms due to clutter.

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