{"refrec":{"BRefID":363546,"RR":"<b>Dutrannois, T.; Nguyen, T.-T.; Hamesse, C.; De Cubber, G.; Janssens, B.</b> (2022). Visual SLAM for autonomous drone landing on a maritime platform, <b><i>in</i></b>: <i>2022 International Symposium on Measurement and Control in Robotics (ISMCR).</i> pp. 66-72. <a href=\"https://dx.doi.org/10.1109/ISMCR56534.2022.9950582\" target=\"_blank\">https://dx.doi.org/10.1109/ISMCR56534.2022.9950582</a>","BEntID":361264,"PublicFlag":1,"CheckedFlag":1,"wosflag":0,"vabbflag":0,"RefStringPartII":", <b><i>in</i></b>: <i>2022 International Symposium on Measurement and Control in Robotics (ISMCR).</i> pp. 66-72. <a href=\"https://dx.doi.org/10.1109/ISMCR56534.2022.9950582\" target=\"_blank\">https://dx.doi.org/10.1109/ISMCR56534.2022.9950582</a>","DocTypID":17,"DocType":"Book chapters","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Dutrannois, T.; Nguyen, T.-T.; Hamesse, C.; De Cubber, G.; Janssens, B.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Dutrannois, T. <i>et al.</i>","Englishabstract":"Ship deck landing of Unmanned Aerial Vehicles (UAVs/drones) in different kinds of environmental conditions remains a bottleneck for the widespread deployment of UAVs for maritime operations. For safe operation, the relative motion between the UAV and the pitching and rolling deck of a moving ship must be estimated accurately and in real-time. This paper presents a visual Simultaneous Localization and Mapping (SLAM) method for real-time motion estimation of the UAV with respect to its confined landing area on a maritime platform during landing phase. The visual SLAM algorithm ORBSLAM3 [1] was selected after benchmarking with multiple state-of-the-art visual SLAM and Visual Odometry (VO) algorithms with the EuRoC dataset [2]. It was evaluated for a simulated landing scenario of a UAV at 16m height with a downward camera in multiple configurations with sufficient results in both speed and accuracy for the landing task.","AbstractOtherLang":null,"BibLvlCode":"AM","StandardTitle":"Visual SLAM for autonomous drone landing on a maritime platform","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"visual SLAM; UAV; maritime; synthetic data","OtherDescriptors":null,"Notes":null,"AnaPub":2022,"MonPub":null,"DateUpdate":"2023-04-13","DateCreate":"2023-04-11","SecASFANote":null,"ConfID":null,"PeerRev":0,"VlizCoreFlag":1,"WoScode":"WOS:000931900700014","VABBcode":null,"OpenAcc":0,"DOI":"10.1109/ISMCR56534.2022.9950582"},"refs":null,"anarec":{"AnaID":363546,"PubliDate":2022,"Pagination":"66-72","XtraPublOfAnaID":null,"ISBN":"978-1-6654-5497-1","Volume":null,"Issue":null,"BRefMon":363573,"BRefMonRR":"(2022). 2022 International Symposium on Measurement and Control in Robotics (ISMCR). IEEE: United States. ISBN 978-1-6654-5497-1; e-ISBN 978-1-6654-5496-4. 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