Paper
28 January 2010 VisNAV 100: a robust, compact imaging sensor for enabling autonomous air-to-air refueling of aircraft and unmanned aerial vehicles
Anup Katake, Heeyoul Choi
Author Affiliations +
Proceedings Volume 7538, Image Processing: Machine Vision Applications III; 753809 (2010) https://doi.org/10.1117/12.839120
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
To enable autonomous air-to-refueling of manned and unmanned vehicles a robust high speed relative navigation sensor capable of proving high accuracy 3DOF information in diverse operating conditions is required. To help address this problem, StarVision Technologies Inc. has been developing a compact, high update rate (100Hz), wide field-of-view (90deg) direction and range estimation imaging sensor called VisNAV 100. The sensor is fully autonomous requiring no communication from the tanker aircraft and contains high reliability embedded avionics to provide range, azimuth, elevation (3 degrees of freedom solution 3DOF) and closing speed relative to the tanker aircraft. The sensor is capable of providing 3DOF with an error of 1% in range and 0.1deg in azimuth/elevation up to a range of 30m and 1 deg error in direction for ranges up to 200m at 100Hz update rates. In this paper we will discuss the algorithms that were developed in-house to enable robust beacon pattern detection, outlier rejection and 3DOF estimation in adverse conditions and present the results of several outdoor tests. Results from the long range single beacon detection tests will also be discussed.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anup Katake and Heeyoul Choi "VisNAV 100: a robust, compact imaging sensor for enabling autonomous air-to-air refueling of aircraft and unmanned aerial vehicles", Proc. SPIE 7538, Image Processing: Machine Vision Applications III, 753809 (28 January 2010); https://doi.org/10.1117/12.839120
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KEYWORDS
Sensors

Image processing

Sun

Detection and tracking algorithms

Algorithm development

Image sensors

Light sources and illumination

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