{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T18:58:18Z","timestamp":1767034698756,"version":"3.37.3"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871283"],"award-info":[{"award-number":["61871283"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foundation of Pre-Research on Equipment of China","award":["61403120103"],"award-info":[{"award-number":["61403120103"]}]},{"name":"Major Civil-Military Integration Project, Tianjin, China","award":["18ZXJMTG00170"],"award-info":[{"award-number":["18ZXJMTG00170"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2933878","type":"journal-article","created":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T15:54:31Z","timestamp":1565279671000},"page":"109495-109505","source":"Crossref","is-referenced-by-count":6,"title":["MFNN: Position and Attitude Measurement Neural Network Based on Multi-Feature Fusion"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0218-3675","authenticated-orcid":false,"given":"Jiabao","family":"Man","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4163-7249","authenticated-orcid":false,"given":"Gen","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Xi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3513-3201","authenticated-orcid":false,"given":"Yutian","family":"Lei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1443-0776","authenticated-orcid":false,"given":"Xinbo","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","article-title":"Understanding neural networks through deep visualization","author":"yosinski","year":"2015","journal-title":"arXiv 1506 06579"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00417"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref12","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2781424"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2783902"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"Scalable, distributed architecture for fully connected network intercom system","year":"2007","author":"gross","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2889562"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2609399"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICOACS.2016.7563036"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1117\/12.604011"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2842229"},{"key":"ref27","first-page":"404","article-title":"SURF: Speeded up robust features","author":"bay","year":"2006","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2006.1655916"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1117\/12.281001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126266"},{"article-title":"Monocular pose and shape estimation of moving targets, for autonomous rendezvous and docking","year":"2011","author":"augenstein","key":"ref8"},{"key":"ref7","first-page":"1","article-title":"Using robots for advanced rendezvous and docking simulation","author":"boge","year":"2012","journal-title":"Proc Simulation EGSE Facilites Space Programmes (SESP)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.236"},{"key":"ref1","article-title":"PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes","author":"xiang","year":"2017","journal-title":"arXiv 1711 00199"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2196710"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878283"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.791289"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/34.888718"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(84)90007-2"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref25","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08792123.pdf?arnumber=8792123","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:32:38Z","timestamp":1641987158000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8792123\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2933878","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}