{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T14:54:28Z","timestamp":1770044068181,"version":"3.49.0"},"reference-count":17,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T00:00:00Z","timestamp":1611187200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2021,10,14]]},"abstract":"<jats:p>AGV (Automated Guided Vehicle) technology has attracted increasing attention. Precise control of AGV position and attitude information in complex operating environment is a key part of smart factories. With outdoor AGV as a platform, this study uses BDS\/INS combined navigation system combining Beidou positioning system and inertial navigation system and takes the velocity and position difference between BDS and INS as a model. An integrated navigation method is proposed to improve bee colony algorithm and optimize the BP neural network-assisted Kalman filtering to achieve accurate positioning. Moreover, the optimization of BP neural network navigation using INS navigation, network-assisted navigation and bee colony algorithm is simulated. Results demonstrate that the integrated navigation algorithm has effectiveness and feasibility, and can solve the problems of BDS misalignment and large INS navigation error in complex environments.<\/jats:p>","DOI":"10.3233\/jifs-189690","type":"journal-article","created":{"date-parts":[[2021,1,22]],"date-time":"2021-01-22T17:32:56Z","timestamp":1611336776000},"page":"4295-4306","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Research on outdoor AGV precise navigation based on BDS\/INS data fusion"],"prefix":"10.1177","volume":"41","author":[{"given":"Yongwei","family":"Tang","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Shandong University, Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, Jinan, China"},{"name":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Key Laboratory of Computer Networks, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"}]},{"given":"Huijuan","family":"Hao","sequence":"additional","affiliation":[{"name":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Key Laboratory of Computer Networks, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"}]},{"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Shandong University, Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, Jinan, China"}]},{"given":"Yuexiang","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electrical Engineering, Organization Qingdao Agricultural University, Qingdao, China"}]},{"given":"Zhenzhen","family":"Dong","sequence":"additional","affiliation":[{"name":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Key Laboratory of Computer Networks, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"}]}],"member":"179","published-online":{"date-parts":[[2021,1,21]]},"reference":[{"issue":"04","key":"e_1_3_2_2_2","first-page":"438","volume":"30","author":"Changzheng HE","year":"2019","unstructured":"ChangzhengHE, YuchuanSONG, QiLEI, XiangfeiLYU, RuanxiangLIU and Jin.CHEN, Integrated Scheduling of Multiple AGVs and Machines in Flexible Job Shops30(04) (2019), 438\u2013447.","journal-title":"Integrated Scheduling of Multiple AGVs and Machines in Flexible Job Shops"},{"key":"e_1_3_2_3_2","unstructured":"Hong-JieTANG DingWANG Pan-lingHUANG and JunZHOU AGV path planning based on optimized dijkstra algorithm in logistics factory Machinery Design & Manufacture (S1) (2018) 117\u2013120."},{"issue":"3","key":"e_1_3_2_4_2","first-page":"129","article-title":"Modeling receiever clock error in GPS\/INS tightly integrated navigation","volume":"34","author":"GAN Y","year":"2014","unstructured":"GANY, SUIL F, XIAOG R, et al., Modeling receiever clock error in GPS\/INS tightly integrated navigation, Journal of Geodesy and Geodynamics34(3) (2014), 129\u2013132.","journal-title":"Journal of Geodesy and Geodynamics"},{"key":"e_1_3_2_5_2","doi-asserted-by":"crossref","unstructured":"LiangY.Q. and JiaY.M. 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