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• W2244481540 abstract "This paper describes a vision-based sense-and-avoid framework to detect approaching aircraft especially observed with cluttered background. The proposed framework consists of a vision system with a camera that processes the incoming images using a series of algorithms in real time to isolate moving aerial objects on the image plane and classify them using a particle filter. Once an approaching aerial object has been detected on a potential collision course, the aircraft performs an evasive maneuver. The performance of the proposed sense-and-avoid algorithm is validated in a series of test flights using two unmanned aerial vehicles." @default.
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• W2244481540 date "2015-10-01" @default.
• W2244481540 modified "2023-09-26" @default.
• W2244481540 title "Vision-based sense-and-avoid framework for unmanned aerial vehicles" @default.
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• W2244481540 doi "https://doi.org/10.1109/taes.2015.140252" @default.
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