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• W4243987629 abstract "This paper presents a novel indoor navigation and ranging strategy by using a monocular camera. The proposed algorithms are integrated with simultaneous localization and mapping (SLAM) with a focus on indoor aerial vehicle applications. We experimentally validate the proposed algorithms by using a fully self-contained micro aerial vehicle (MAV) with on-board image processing and SLAM capabilities. The range measurement strategy is inspired by the key adaptive mechanisms for depth perception and pattern recognition found in humans and intelligent animals. The navigation strategy assumes an unknown, GPS-denied environment, which is representable via corner-like feature points and straight architectural lines. Experimental results show that the system is only limited by the capabilities of the camera and the availability of good corners." @default.
• W4243987629 created "2022-05-12" @default.
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• W4243987629 date "2009-10-01" @default.
• W4243987629 modified "2023-09-25" @default.
• W4243987629 title "Monocular vision SLAM for indoor aerial vehicles" @default.
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• W4243987629 doi "https://doi.org/10.1109/iros.2009.5354050" @default.
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