Abstract
A five-camera vision system was developed for UAV visual attitude calculation and collision warning. The vision system acquires images by using five miniature cameras, stores, and evaluates the visual data real-time with a multi-core processor system implemented in FPGA. The system was designed to be able to operate on a medium sized UAV platform, which raised numerous strict physical constraints.
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Zarandy, A., Nagy, Z., Vanek, B., Zsedrovits, T., Kiss, A., Nemeth, M. (2013). A Five-Camera Vision System for UAV Visual Attitude Calculation and Collision Warning. In: Chen, M., Leibe, B., Neumann, B. (eds) Computer Vision Systems. ICVS 2013. Lecture Notes in Computer Science, vol 7963. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39402-7_2
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DOI: https://doi.org/10.1007/978-3-642-39402-7_2
Publisher Name: Springer, Berlin, Heidelberg
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