DOI | Trouver le DOI : https://doi.org/10.1109/CCECE.2011.6030440 |
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Auteur | Rechercher : Minwalla, C.; Rechercher : Watters, K.; Rechercher : Thomas, P.; Rechercher : Hornsey, R.; Rechercher : Ellis, K.1; Rechercher : Jennings, S.1 |
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Affiliation | - Conseil national de recherches du Canada. Aérospatiale
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Format | Texte, Article |
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Conférence | 2011 Canadian Conference on Electrical and Computer Engineering, CCECE 2011, May 8-11, 2011, Niagara Falls, Ontario, Canada |
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Sujet | clustering; distributed networks; feature descriptors; feature space; horizon extraction; morphological operations; pre-selected; prior measurement; region of interest; spurious cluster; collision avoidance; mathematical morphology; unmanned vehicles; distributed computer systems |
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Résumé | Extraction and utilization of the horizon contour is presented within the context of an optical collision avoidance instrument, comprised of individual nodes configured in a fixed-topology distributed network. The algorithm iterates between learning and application stages. Pixel neighbourhoods were classified into ground and sky regions using a vector of feature descriptors. The clusters in feature space were separated by a learnt minimal-error threshold, which was subsequently applied to the entire image, or a pre-selected region-of-interest aided by scenario-dependent constraints. Morphological operations reduced spurious clusters. The resultant contour was parametrically fitted to a polynomial for comparison to ground-truth. Adaptive operation allows inputs from prior measurements and external attitude information. © 2011 IEEE. |
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Date de publication | 2011 |
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Dans | |
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Langue | anglais |
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Publications évaluées par des pairs | Oui |
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Numéro NPARC | 21271254 |
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Exporter la notice | Exporter en format RIS |
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Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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Identificateur de l’enregistrement | 6ebd57bd-461a-4664-b56f-9edad40b2c11 |
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Enregistrement créé | 2014-03-24 |
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Enregistrement modifié | 2020-04-21 |
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