{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:50:40Z","timestamp":1743011440102,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811659393"},{"type":"electronic","value":"9789811659409"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-981-16-5940-9_20","type":"book-chapter","created":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T23:04:08Z","timestamp":1631228648000},"page":"256-267","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Attitude Solving Algorithm of Towing Cable Based on Convolutional Neural Network Fusion Extended Kalman Filter"],"prefix":"10.1007","author":[{"given":"Bin","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinran","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haotian","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,10]]},"reference":[{"issue":"2","key":"20_CR1","first-page":"775","volume":"35","author":"P Fagen","year":"2020","unstructured":"Fagen, P., Hui, F., Liang, P., Meixing, H., Gengen, Q.: Progress in electromagnetic exploration of gas hydrate. J. Prog. Geophys. 35(2), 775\u2013785 (2020)","journal-title":"J. Prog. Geophys."},{"issue":"1","key":"20_CR2","first-page":"412","volume":"36","author":"W Zhiqiang","year":"2021","unstructured":"Zhiqiang, W., Xunhua, Z., Weina, Z., Jianghao, Q., Xiaoqing, Z., Zhenxing, T.: Ocean bottom node (OBN) seismic exploration: progress and achievements. J. Prog. Geophys. 36(1), 412\u2013424 (2021)","journal-title":"J. Prog. Geophys."},{"key":"20_CR3","unstructured":"Chunying, X.: Research on underwater topographic settlement mechanism and monitoring system based on MEMS 9-axis sensor array. PhD Thesis, Zhejiang University, China (2019)"},{"key":"20_CR4","unstructured":"Guanglin, Z.: Research and implementation of visualization of underwater robot attitude monitoring system based on LabVIEW. Master of Engineering Thesis, Dalian University of Technology, China (2019)"},{"key":"20_CR5","unstructured":"Jiajie, F.: Research on quadrotor attitude measurement system based on quaternion nonlinear filtering. Master of Engineering Thesis, Nanjing University of Aeronautics and Astronautics, China (2018)"},{"key":"20_CR6","unstructured":"Helong, W.: Research on key technologies of low-cost inertial\/GNSS\/vision integrated navigation for multi-rotor UAV. PhD Thesis, University of Chinese Academy of Sciences (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences) (2020)"},{"key":"20_CR7","unstructured":"Xiling, S.: Research on attitude measurement and control technology of multi-rotor aircraft. PhD Thesis, North University of China (2020)"},{"key":"20_CR8","first-page":"1025","volume":"5","author":"C Guangwu","year":"2019","unstructured":"Guangwu, C., Xiaobo, L., Di, W.: Denoising algorithm of MEMS gyro signal based on improved wavelet transform. J. Electron. Inf. 5, 1025\u20131031 (2019)","journal-title":"J. Electron. Inf."},{"issue":"9","key":"20_CR9","first-page":"65","volume":"35","author":"H Yanguo","year":"2018","unstructured":"Yanguo, H., Yundong, F., Zuli, C.: Attitude calculation of quadrotor aircraft based on information fusion. J. Comput. Simul. 35(9), 65\u201370 (2018)","journal-title":"J. Comput. Simul."},{"issue":"25","key":"20_CR10","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1016\/j.proeng.2016.05.054","volume":"144","author":"H Guruing","year":"2016","unstructured":"Guruing, H., Banerjee, A.: Self-sensing SMA actuator using extended kalman filter and artificial neural network. J. Procedia Eng. 144(25), 629\u2013634 (2016)","journal-title":"J. Procedia Eng."},{"issue":"2","key":"20_CR11","first-page":"284","volume":"42","author":"D Zhiqiang","year":"2020","unstructured":"Zhiqiang, D., Jieyu, L., Lixin, W., Xinsan, L., Qiang, S.: BPNN-assisted MEMS gyroscope data processing method for KF. J. Piezoelectrics Acoustooptics 42(2), 284\u2013288 (2020)","journal-title":"J. Piezoelectrics Acoustooptics"},{"key":"20_CR12","unstructured":"Chuxiong, Y., Jiahan, Y., Chengjun, G.: Research on attitude solution algorithm based on BP-Kalman fusion filter. In: Proceedings of the Ninth China Satellite Navigation Academic Conference\u2013S10 Multi-source Fusion Navigation Technology, pp. 91\u201395 (2018)"},{"key":"20_CR13","unstructured":"Lei, D., Weijie, W., Ting, F.: An extended Kalman filtering method for fusion attitudes of multi-rotor aircraft. J. Anhui Univ. Technol. (Natural Science Edition). 35(3), 240\u2013248 (2018)"},{"key":"20_CR14","unstructured":"Yunjie, Q.: Research on inertial\/satellite\/vision integrated navigation technology of small UAVs. PhD Thesis, Harbin Institute of Technology, China (2020)"},{"key":"20_CR15","unstructured":"Wenwu, X.: Research on key technology of multi-functional stabilization platform based on MEMS inertial measurement unit. Master of Engineering Thesis, North University of China (2020)"},{"issue":"9","key":"20_CR16","first-page":"170","volume":"52","author":"Z Weixiong","year":"2020","unstructured":"Weixiong, Z., Shen, Y., Junqing, M., Litong, H., Shichen, F., Miao, W.: Research on calculation algorithm of position and pose of cantilever roadheader based on SINS. J. Coal Eng. 52(9), 170\u2013176 (2020)","journal-title":"J. Coal Eng."},{"issue":"9","key":"20_CR17","first-page":"1300","volume":"42","author":"C Liang","year":"2016","unstructured":"Liang, C., Xiaoming, D., Mingquan, Z.: Convolutional neural networks in image under-standing. J. Acta Automatica Sinica. 42(9), 1300\u20131312 (2016)","journal-title":"J. Acta Automatica Sinica."},{"issue":"5","key":"20_CR18","first-page":"354","volume":"77","author":"G Jiuxiang","year":"2018","unstructured":"Jiuxiang, G., Zhenhua, W., Kuen, J.: Recent advances in convolutional neural networks. J. Pattern Recognit. 77(5), 354\u2013377 (2018)","journal-title":"J. Pattern Recognit."},{"key":"20_CR19","unstructured":"Chuanchao, P.: Research on path planning of indoor mobile robot based on deep reinforcement learning. Master of Engineering Thesis, China University of Mining and Technology (2020)"},{"issue":"12","key":"20_CR20","first-page":"20","volume":"55","author":"Z Yuanpan","year":"2019","unstructured":"Yuanpan, Z., Guangyang, L., Ye, L.: A review on the application of deep learning in image recognition. J. Comput. Eng. Appl. 55(12), 20\u201336 (2019)","journal-title":"J. Comput. Eng. Appl."}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-5940-9_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T15:07:18Z","timestamp":1710256038000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-5940-9_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811659393","9789811659409"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-5940-9_20","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"10 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPCSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Pioneering Computer Scientists, Engineers and Educators","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiyuan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpcsee2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2021.icpcsee.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"256","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"81","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}