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- W2989744610 abstract "Localisation and guidance using visual features enables uninhabited aerial vehicles (UAVs) to navigate in GPS denied conditions. This paper presents a novel approach to using visual feature extraction and landmark recognition to aid UAV navigation in urban, rural and remote terrain environments. Additionally, the paper discusses a technique for experimentally testing the navigation approach using a hardware-in-the-loop (HiL) system, permitting comprehensive testing in the laboratory before trialling in the field. Different to commonly used software-inthe- loop (SiL) systems, our HiL configuration provide experimental platform which are closer to the real experiments. The navigation solution presented here exploits feature extraction and image processing algorithms to identify man-made or natural features from terrain imagery. Object features are extracted from archival aerial images and stored together with location information, in a database on a companion computer, which is integrated with the aircraft's avionics system. During flight, features are extracted in real-time from images and compared against the ones in the database to visually identify waypoints. Dead reckoning with wind prediction and correction is used to navigate the UAV between two visual waypoints." @default.
- W2989744610 created "2019-12-05" @default.
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- W2989744610 date "2019-01-01" @default.
- W2989744610 modified "2023-09-27" @default.
- W2989744610 title "UAV navigation using visual waypoints: Hardware-in-the-loop approach" @default.
- W2989744610 hasPublicationYear "2019" @default.
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