Ms. Lidia Forlenza Profile

Lidia Forlenza

at Univ degli Studi di Napoli Federico II

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Proceedings Article | 28 October 2010 Paper

Image processing algorithm for integrated sense and avoid systems

Lidia Forlenza, Giancarmine Fasano, Domenico Accardo, Antonio Moccia, Attilio Rispoli

Proceedings Volume 7833, 78330R (2010) https://doi.org/10.1117/12.865085

KEYWORDS: Image processing, Radar, Sensors, Cameras, Edge detection, Detection and tracking algorithms, Infrared cameras, Aerospace engineering, Radar sensor technology, Imaging systems

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To allow Unmanned Aircraft Systems (UAS) accessing National Airspace System (NAS) "Equivalent levels of safety" to the ones of human vision must be guaranteed. Therefore, an appropriate "Sense and Avoid" technology must be developed that is capable of detecting, tracking, and avoiding obstacles. The Department of Aerospace Engineering at University of Naples has been involved in a project funded by the Italian Aerospace Research Centre (CIRA) for the realization of a prototypical "Obstacle Detection & Identification" (ODID) System. It is installed onboard a Very Light Aircraft (VLA) and it is characterized by a hierarchical sensor configuration in which the radar is the main sensor while EO cameras are the auxiliary ones in order to increase accuracy and data rate so that anti-collision requirements are fulfilled. This paper focuses on the Image Processing algorithm for the panchromatic camera. Among the several techniques listed in literature the edge detection - labeling one resulted as the best compromise in terms of computational load, detection range, false alarm rate, miss detection rate and adaptability at different background luminosity conditions. Moreover it has been customized in order to allow for reliable operation in a wide range of flight and luminance configurations and it has been tested and run on a sequence of real images taken during flight tests. At the end, a table that summarizes those results is presented. Indeed, the output tracking measurements accuracy increases by an order of magnitude with respect to standalone radar one.

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