{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T07:52:40Z","timestamp":1716191560283},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,5,24]],"date-time":"2021-05-24T00:00:00Z","timestamp":1621814400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,5,24]],"date-time":"2021-05-24T00:00:00Z","timestamp":1621814400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Intell Robot Appl"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s41315-021-00171-6","type":"journal-article","created":{"date-parts":[[2021,5,24]],"date-time":"2021-05-24T09:02:45Z","timestamp":1621846965000},"page":"252-263","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Wind measurement by computer vision on unmanned sailboat"],"prefix":"10.1007","volume":"5","author":[{"given":"Dasheng","family":"Yang","sequence":"first","affiliation":[]},{"given":"Zaisheng","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Yifan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Lai","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Yong","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,24]]},"reference":[{"key":"171_CR25","unstructured":"Bhat, K.S., Twigg, C.D., Hodgins, J.K., Khosla, P.K., Popovic, Z., Seitz, S.M.: Estimating Cloth Simulation Parameters from Video. In D.\u00a0Breen and M.\u00a0Lin, editors, Symposium on Computer Animation. The Eurographics Association (2003)"},{"key":"171_CR31","unstructured":"Cardona, J.L., Howland, M.F., Dabiri, J.O.: Seeing the wind: Visual wind speed prediction with a coupled convolutional and recurrent neural network (2019)"},{"issue":"27","key":"171_CR14","doi-asserted-by":"publisher","first-page":"5265","DOI":"10.1029\/JC075i027p05265","volume":"75","author":"DW Camp","year":"1970","unstructured":"Camp, D.W., Turner, R.E., Gilchrist, L.P.: Response tests of cup, vane, and propeller wind sensors. J. Geophys.. Res. 75(27), 5265\u20135270 (1970)","journal-title":"J. Geophys.. Res."},{"key":"171_CR1","doi-asserted-by":"crossref","unstructured":"Cruz, N.A., Alves, J.C.: Autonomous sailboats: An emerging technology for ocean sampling and surveillance. In: OCEANS 2008, 1\u20136 (2008)","DOI":"10.1109\/OCEANS.2008.5152113"},{"issue":"2\u20133","key":"171_CR11","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/0167-6105(94)00088-U","volume":"56","author":"PR Ebert","year":"1995","unstructured":"Ebert, P.R., Wood, D.H.: On the dynamics of tail fins and wind vanes. J. Wind Eng. Industrial Aerodyn. 56(2\u20133), 137\u2013158 (1995)","journal-title":"J. Wind Eng. Industrial Aerodyn."},{"key":"171_CR9","doi-asserted-by":"crossref","unstructured":"Guo, Y., Romero, M., Ieng, S., Plumet, F., Benosman, R., Gas, B.: Reactive path planning for autonomous sailboat using an omni-directional camera for obstacle detection. In: 2011 IEEE International Conference on Mechatronics, pages 445\u2013450 (2011)","DOI":"10.1109\/ICMECH.2011.5971327"},{"issue":"SEP.","key":"171_CR29","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.enconman.2019.05.007","volume":"195","author":"Shubhi Harbola","year":"2019","unstructured":"Harbola, S., Coors, V.: One dimensional convolutional neural network architectures for wind prediction. Energy Conversion Manag. 195(SEP.), 70\u201375 (2019)","journal-title":"Energy Conversion Manag."},{"issue":"3","key":"171_CR13","doi-asserted-by":"publisher","first-page":"21","DOI":"10.3390\/designs2030021","volume":"2","author":"S. Kang\u2019iri","year":"2018","unstructured":"Kang\u2019iri, S., Gradl, C., Byiringiro, J., Ngetha, H.: Design and calibration of a 3d-printed cup-vane wireless sensor node. Designs 2(3), 21 (2018)","journal-title":"Designs"},{"key":"171_CR38","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980, (2014)"},{"issue":"MAR.","key":"171_CR28","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1016\/j.enconman.2018.01.010","volume":"159","author":"H Liu","year":"2018","unstructured":"Liu, H., Mi, X., Li, Y.: Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, lstm network and elm. Energy Conversion Manag. 159(MAR.), 54\u201364 (2018)","journal-title":"Energy Conversion Manag."},{"issue":"7","key":"171_CR27","doi-asserted-by":"publisher","first-page":"2313","DOI":"10.1016\/j.apenergy.2009.12.013","volume":"87","author":"Gong Li","year":"2010","unstructured":"Li, G., Shi, J.: On comparing three artificial neural networks for wind speed forecasting. Appl. Energy 87(7), 2313\u20132320 (2010)","journal-title":"Appl. Energy"},{"key":"171_CR3","doi-asserted-by":"crossref","unstructured":"Manley, J.E.: Unmanned surface vehicles, 15 years of development. In: OCEANS 2008, 1\u20134 (2008)","DOI":"10.1109\/OCEANS.2008.5289429"},{"key":"171_CR24","doi-asserted-by":"crossref","unstructured":"Meka, A., Maximov, M., Zollhoefer, M., Chatterjee, A., Seidel, H. P., Richardt, C., Theobalt, C.: Live intrinsic material estimation, Lime (2018)","DOI":"10.1109\/CVPR.2018.00661"},{"key":"171_CR22","doi-asserted-by":"crossref","unstructured":"Mottaghi, R., Bagherinezhad, H., Rastegari, M., Farhadi, A.: Newtonian image understanding: Unfolding the dynamics of objects in static images. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 3521\u20133529 (2016)","DOI":"10.1109\/CVPR.2016.383"},{"issue":"3","key":"171_CR26","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/S0960-1481(98)00001-9","volume":"13","author":"MA Mohandes","year":"2014","unstructured":"Mohandes, M.A., Rehman, S., Halawani, T.O.: A neural networks approach for wind speed prediction. Renew Energy 13(3), 345\u2013354 (2014)","journal-title":"Renew Energy"},{"key":"171_CR15","unstructured":"Nakamura, R.: Observational studies of stable nocturnal boundary layers: intermittent turbulence, sensible heat budgets and observational errors. (2005)"},{"issue":"3","key":"171_CR4","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1002\/rob.20235","volume":"25","author":"RR Murphy","year":"2008","unstructured":"Murphy, R.R., Steimle, E., Griffin, C., Cullins, C., Hall, M., Pratt, K.: Cooperative use of unmanned sea surface and micro aerial vehicles at hurricane wilma. J. Field Robot. 25(3), 164\u2013180 (2008)","journal-title":"J. Field Robot."},{"issue":"5","key":"171_CR20","doi-asserted-by":"publisher","first-page":"172988141773108","DOI":"10.1177\/1729881417731083","volume":"14","author":"C Patruno","year":"2017","unstructured":"Patruno, C., Nitti, M., Stella, E., D\u2019Orazio, T.: Helipad detection for accurate uav pose estimation by means of a visual sensor. Int. J. Adv. Robot. Syst. 14(5), 1729881417731083 (2017)","journal-title":"Int. J. Adv. Robot. Syst."},{"issue":"6","key":"171_CR5","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1002\/rob.20353","volume":"27","author":"T Pastore","year":"2010","unstructured":"Pastore, T., Djapic, V.: Improving autonomy and control of autonomous surface vehicles in port protection and mine countermeasure scenarios. J. Field Robot. 27(6), 903\u2013914 (2010)","journal-title":"J. Field Robot."},{"key":"171_CR8","doi-asserted-by":"crossref","unstructured":"Petres, C., Romero-Ramirez, M.-A., Plumet, F., Alessandrini, Bertrand: Modeling and reactive navigation of an autonomous sailboat. In: 2011 IEEE\/RSJ international conference on intelligent robots and systems, pages 3571\u20133576. IEEE (2011)","DOI":"10.1109\/IROS.2011.6048580"},{"issue":"11","key":"171_CR10","doi-asserted-by":"publisher","first-page":"21418","DOI":"10.3390\/s141121418","volume":"14","author":"Santiago Pindado","year":"2014","unstructured":"Pindado, S., Cubas, J., Sorribes-Palmer, F..: The cup anemometer, a fundamental meteorological instrument for the wind energy industry. research at the idr\/upm institute. Sensors 14(11), 21418\u201321452 (2014)","journal-title":"Sensors"},{"issue":"2","key":"171_CR7","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1109\/JOE.2014.2321714","volume":"40","author":"F Plumet","year":"2015","unstructured":"Plumet, F., P\u00eatr\u00e8s, C., Romero-Ramirez, M., Gas, B., Ieng, S.: Toward an autonomous sailing boat. IEEE J. Oceanic Eng. 40(2), 397\u2013407 (2015)","journal-title":"IEEE J. Oceanic Eng."},{"issue":"5","key":"171_CR17","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1088\/0022-3735\/18\/5\/004","volume":"18","author":"AA Quaranta","year":"1985","unstructured":"Quaranta, A.A., Aprilesi, G.C., De Cicco, G., Taroni, A.: A microprocessor based, three axes, ultrasonic anemometer. Journal of Physics E: Scientific Instruments 18(5), 384 (1985)","journal-title":"Journal of Physics E: Scientific Instruments"},{"key":"171_CR30","unstructured":"Runia, T.F.H., Gavrilyuk, K., Snoek, C.G.M., Smeulders, A.W.M.: Go with the flow: perception-refined physics simulation (2019)"},{"key":"171_CR2","doi-asserted-by":"crossref","unstructured":"Rynne, P.F., von Ellenrieder, K.D.: A wind and solar-powered autonomous surface vehicle for sea surface measurements. In: OCEANS 2008, 1\u20136 (2008)","DOI":"10.1109\/OCEANS.2008.5152116"},{"key":"171_CR36","first-page":"06","volume":"1","author":"K. Simonyan","year":"2014","unstructured":"Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos. Adv. Neural Inform. Process. Syst. 1, 06 (2014)","journal-title":"Adv. Neural Inform. Process. Syst."},{"issue":"003","key":"171_CR33","first-page":"61","volume":"041","author":"K. Shi","year":"2019","unstructured":"Shi, K., Liu, M.: Strapdown inertial navigation quaternion fourth-order runge-kutta attitude algorithm. J. Detection Control 041(003), 61\u201365 (2019)","journal-title":"J. Detection Control"},{"key":"171_CR21","unstructured":"Spencer, L., Shah, M.: Water video analysis. In: 2004 International Conference on Image Processing, 2004. ICIP\u201904., volume\u00a04, pages 2705\u20132708. IEEE (2004)"},{"key":"171_CR6","doi-asserted-by":"crossref","unstructured":"Steimle, E.T., Hall, M.L.: Unmanned surface vehicles as environmental monitoring and assessment tools. In: OCEANS 2006, 1\u20135 (2006)","DOI":"10.1109\/OCEANS.2006.306949"},{"issue":"22","key":"171_CR12","first-page":"5","volume":"1984","author":"T Suzuki","year":"1984","unstructured":"Suzuki, T., Kamano, T., Harada, H.: Study on characteristics of a propeller type anemometer. Wind Engineers. JAWE 1984(22), 5\u201312 (1984)","journal-title":"JAWE"},{"key":"171_CR32","unstructured":"Su, F., Shang, D.-z., Wang, J.-b., Liu, X.-m., Zhu, Q.: Sports\u00a0Center Aquatic. A measurement method of sailing attitude based on mems gyroscope and accelerometer. J Terahertz Sci Electron Inform Technol (2):9 (2014)"},{"issue":"1","key":"171_CR16","first-page":"26","volume":"62","author":"L Svilainis","year":"2007","unstructured":"Svilainis, L., Dumbrava, V.: Measurement of complex impedance of ultrasonic transducers. Ultragarsas\u2019\u2019 Ultrasound\u2019\u2019 62(1), 26\u201329 (2007)","journal-title":"Ultragarsas\u201d Ultrasound\u201d"},{"key":"171_CR35","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pages 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"171_CR37","doi-asserted-by":"crossref","unstructured":"Tran, D., Wang, H., Torresani, L., Ray, J., LeCun, Y., Paluri, M.: A closer look at spatiotemporal convolutions for action recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June (2018)","DOI":"10.1109\/CVPR.2018.00675"},{"issue":"11","key":"171_CR19","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1002\/jsid.617","volume":"25","author":"K Vodrahalli","year":"2017","unstructured":"Vodrahalli, K., Bhowmik, A.K.: 3d computer vision based on machine learning with deep neural networks: A review. Journal of the Society for Information Display 25(11), 676\u2013694 (2017)","journal-title":"Journal of the Society for Information Display"},{"key":"171_CR23","doi-asserted-by":"crossref","unstructured":"Wu, J., Lim, J.\u00a0J., Zhang, H., Tenenbaum, J.B., Freeman, W. T.: Physics 101: Learning physical object properties from unlabeled videos. In: British Machine Vision Conference (2016)","DOI":"10.5244\/C.30.39"},{"key":"171_CR18","doi-asserted-by":"crossref","unstructured":"Zhi-qian, L., Ni, W., Sui-ping, Q., Zhi-wei, Z., Jia, S., Dong-ming, W.: Research on correction method of wind measurement based on platform attitude. In: Journal of Physics: Conference Series, volume 1607, page 012073. IOP Publishing (2020)","DOI":"10.1088\/1742-6596\/1607\/1\/012073"},{"issue":"004","key":"171_CR34","first-page":"415","volume":"016","author":"S. Zhou","year":"2008","unstructured":"Zhou, S., Cong, Y., Li, J., Dai, H.: Comparison of algorithms for extracting quaternion from dcm. J. Chinese Inertial Technol. 016(004), 415\u2013418 (2008)","journal-title":"J. Chinese Inertial Technol."}],"container-title":["International Journal of Intelligent Robotics and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41315-021-00171-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41315-021-00171-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41315-021-00171-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,8]],"date-time":"2021-06-08T12:40:38Z","timestamp":1623156038000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s41315-021-00171-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,24]]},"references-count":38,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["171"],"URL":"https:\/\/doi.org\/10.1007\/s41315-021-00171-6","relation":{},"ISSN":["2366-5971","2366-598X"],"issn-type":[{"value":"2366-5971","type":"print"},{"value":"2366-598X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,24]]},"assertion":[{"value":"15 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 March 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 May 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}