Aerial platform attitude measurement by artificial vision

F. Truchetet; O. Aubreton; P. Gorria; O. Laligant

doi:10.1117/12.642090

2 February 2006 Aerial platform attitude measurement by artificial vision

F. Truchetet, O. Aubreton, P. Gorria, O. Laligant

Proceedings Volume 6070, Machine Vision Applications in Industrial Inspection XIV; 60700D (2006) https://doi.org/10.1117/12.642090
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

Two measurement systems based on electronic imagers for attitude determination of light and low-cost airborne vectors in clear weather condition are presented. Both the devices are based on the following scheme: a binarized sky line image is selected as referential, then each shot, after binarization is segmented in two parts whose mean values are subtracted to the corresponding data computed from referential image. From this comparison analogical or digital values are deduced that give way to estimating the roll and pitch variation angles. The first system is made of off-the-shelf devices: black and white CMOS camera and processing unit made of a dedicated electronic. A second proposition is presented. It makes use of a CMOS retina, developed by our team, dedicated to real time, analogical intercorrelation computing. A simple external processing implemented in a microcontroller completes the system. A model for the embarked imaging system and an equation for an ideal horizon image with respect to rolling and pitch angles are proposed. The method for estimating these angles from the image and errors induced by the various approximations of the model are then presented. A series of experimental results obtained from real images confirms the previous propositions. The last section is dedicated to a presentation of the retinal imager solution, experimental results are also provided in this part.

Citation Download Citation

F. Truchetet, O. Aubreton, P. Gorria, and O. Laligant "Aerial platform attitude measurement by artificial vision", Proc. SPIE 6070, Machine Vision Applications in Industrial Inspection XIV, 60700D (2 February 2006); https://doi.org/10.1117/12.642090

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KEYWORDS

Imaging systems

Cameras

Image segmentation

Sensors

Machine vision

Image sensors

Calibration

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