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. © 2013 Springer-Verlag.
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CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7963 LNCS, pp. 11–20). https://doi.org/10.1007/978-3-642-39402-7_2
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