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Sensors 2012, 12(1), 863-877; doi:10.3390/s120100863

Real Time Corner Detection for Miniaturized Electro-Optical Sensors Onboard Small Unmanned Aerial Systems

1
Department of Aerospace Engineering (DIAS), University of Naples “Federico II”, P.le Tecchio 80, Naples I80125, Italy
2
Department of Systems Control and Flight Dynamics (DCSD), ONERA, Toulouse 31055, France
*
Author to whom correspondence should be addressed.
Received: 6 December 2011 / Revised: 28 December 2011 / Accepted: 29 December 2011 / Published: 12 January 2012
(This article belongs to the Section Remote Sensors)
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Abstract

This paper describes the target detection algorithm for the image processor of a vision-based system that is installed onboard an unmanned helicopter. It has been developed in the framework of a project of the French national aerospace research center Office National d’Etudes et de Recherches Aérospatiales (ONERA) which aims at developing an air-to-ground target tracking mission in an unknown urban environment. In particular, the image processor must detect targets and estimate ground motion in proximity of the detected target position. Concerning the target detection function, the analysis has dealt with realizing a corner detection algorithm and selecting the best choices in terms of edge detection methods, filtering size and type and the more suitable criterion of detection of the points of interest in order to obtain a very fast algorithm which fulfills the computation load requirements. The compared criteria are the Harris-Stephen and the Shi-Tomasi, ones, which are the most widely used in literature among those based on intensity. Experimental results which illustrate the performance of the developed algorithm and demonstrate that the detection time is fully compliant with the requirements of the real-time system are discussed. View Full-Text
Keywords: corner detection; efficiency; Harris/Shi-Tomasi algorithm; airborne unmanned platforms corner detection; efficiency; Harris/Shi-Tomasi algorithm; airborne unmanned platforms
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Forlenza, L.; Carton, P.; Accardo, D.; Fasano, G.; Moccia, A. Real Time Corner Detection for Miniaturized Electro-Optical Sensors Onboard Small Unmanned Aerial Systems. Sensors 2012, 12, 863-877.

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