Vision-Based Pose Estimation of Fixed-Wing Aircraft Using You Only Look Once and Perspective-n-Points
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Notice bibliographique
Résumé
No AccessTechnical NotesVision-Based Pose Estimation of Fixed-Wing Aircraft Using You Only Look Once and Perspective-n-PointsSukkeun Kim, Jeongho Kim, Jihoon Park and Daewoo LeeSukkeun Kim https://orcid.org/0000-0001-6903-5437Pusan National University, Busan 46241, Republic of Korea, Jeongho KimNextfoam, Seoul 08512, Republic of Korea, Jihoon ParkPusan National University, Busan 46241, Republic of Korea and Daewoo Lee https://orcid.org/0000-0002-9546-0610Pusan National University, Busan 46241, Republic of KoreaPublished Online:21 May 2021https://doi.org/10.2514/1.I010975SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Vetrella A., Fasano G. and Accardo D., "Attitude Estimation for Cooperating UAVs Based on Tight Integration of GNSS and Vision Measurements," Aerospace Science and Technology, Vol. 84, Jan. 2019, pp. 966–979. https://doi.org/10.1016/j.ast.2018.11.032 CrossrefGoogle Scholar[2] Pesce V., Opromolla R., Sarno S., Lavagna M. and Grassi M., "Autonomous Relative Navigation Around Uncooperative Spacecraft Based on a Single Camera," Aerospace Science and Technology, Vol. 84, Jan. 2019, pp. 1070–1080. https://doi.org/10.1016/j.ast.2018.11.042 CrossrefGoogle Scholar[3] Watanabe Y., Calise A. and Johnson E., "Vision-Based Obstacle Avoidance for UAVs," Proceedings of AIAA Guidance, Navigation and Control Conference and Exhibit, AIAA Paper 2007-6829, 2007. https://doi.org/10.2514/6.2007-6829 LinkGoogle Scholar[4] Chatterji G. 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K., Continuous-Time Active Filter Design, CRC Press, Boca Raton, FL, 1998, pp. 38–52. Google Scholar Previous article FiguresReferencesRelatedDetailsCited byHeuristic EPnP-Based Pose Estimation for Underground Machine Tracking15 February 2022 | Symmetry, Vol. 14, No. 2 What's Popular Volume 18, Number 9September 2021 Metrics CrossmarkInformationCopyright © 2021 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 2327-3097 to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp. TopicsAircraft Components and StructureAircraft DesignAircraft Operations and TechnologyAircraft Stability and ControlAircraft SystemsAircraftsFixed-Wing AircraftFlight Control SurfacesQuadcopterRotorcraftsUnmanned Aerial Vehicle KeywordsFixed Wing AircraftFiducial MarkerGNSSHarris Corner DetectorHistogramsEarth Centered Earth FixedConvolutional Neural NetworkLight Sport AircraftAttitude and Heading Reference SystemYawAcknowledgmentThis work was supported by the Technology Innovation Program (20002712, Advanced Pilot Assistant System Development based on Multiple Surveillance Sensors and Deep Learning for Manned and Unmanned Aircraft Systems) funded by the Ministry of Trade, Industry & Energy (Republic of Korea).PDF Received10 February 2021Accepted15 April 2021Published online21 May 2021
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle