{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:25:39Z","timestamp":1750220739869,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T00:00:00Z","timestamp":1588896000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Beijing Natural Science Foundation","award":["L182024"],"award-info":[{"award-number":["L182024"]}]},{"name":"National Natural Science Foundation of China","award":["61801035"],"award-info":[{"award-number":["61801035"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,5,8]]},"DOI":"10.1145\/3390557.3394309","type":"proceedings-article","created":{"date-parts":[[2020,6,4]],"date-time":"2020-06-04T10:22:10Z","timestamp":1591266130000},"page":"5-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning Inspired Binocular Vision Indoor Positioning System Based on QR Code Beacon"],"prefix":"10.1145","author":[{"given":"Xinyi","family":"Deng","sequence":"first","affiliation":[{"name":"Beijing Laboratory of Advanced Information Networks (BUPT), Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications Beijing, China"}]},{"given":"Dazhong","family":"He","sequence":"additional","affiliation":[{"name":"Beijing Laboratory of Advanced Information Networks (BUPT), Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications Beijing, China"}]},{"given":"Wenli","family":"Zhou","sequence":"additional","affiliation":[{"name":"Beijing Laboratory of Advanced Information Networks (BUPT), Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications Beijing, China"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"Beijing Laboratory of Advanced Information Networks (BUPT), Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications Beijing, China"}]},{"given":"Yue","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Laboratory of Advanced Information Networks (BUPT), Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2020,6,4]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"3","article-title":"-H. Real-time RFID indoor positioning system based on Kalman-filter drift removal and Heron-bilateration location estimation","volume":"64","author":"Huang C.-H.","year":"2014","unstructured":"Huang , C.-H. , Lee , L.-H. , Ho , C. C. , Wu , L.-L. and Lai , Z . -H. Real-time RFID indoor positioning system based on Kalman-filter drift removal and Heron-bilateration location estimation . IEEE Transactions on Instrumentation and Measurement , 64 , 3 ( 2014 ), 728--739. Huang, C.-H., Lee, L.-H., Ho, C. C., Wu, L.-L. and Lai, Z.-H. Real-time RFID indoor positioning system based on Kalman-filter drift removal and Heron-bilateration location estimation. IEEE Transactions on Instrumentation and Measurement, 64, 3 (2014), 728--739.","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/SOFTCOM.2014.7039067"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.01.007"},{"key":"e_1_3_2_1_4_1","volume-title":"City","author":"Seki A.","year":"2017","unstructured":"Seki , A. and Pollefeys , M . Sgm-nets: Semi-global matching with neural networks . City , 2017 . Seki, A. and Pollefeys, M. Sgm-nets: Semi-global matching with neural networks. City, 2017."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2019.00011"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2009.30"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPIN.2013.6817925"},{"key":"e_1_3_2_1_8_1","first-page":"2","article-title":"Stereo processing by semiglobal matching and mutual information","volume":"30","author":"Hirschmuller H","year":"2007","unstructured":"Hirschmuller , H . Stereo processing by semiglobal matching and mutual information . IEEE Transactions on pattern analysis and machine intelligence , 30 , 2 ( 2007 ), 328--341. Hirschmuller, H. Stereo processing by semiglobal matching and mutual information. IEEE Transactions on pattern analysis and machine intelligence, 30, 2 (2007), 328--341.","journal-title":"IEEE Transactions on pattern analysis and machine intelligence"},{"key":"e_1_3_2_1_9_1","volume-title":"City","author":"Zbontar J.","year":"2015","unstructured":"Zbontar , J. and LeCun , Y. Computing the stereo matching cost with a convolutional neural network . City , 2015 . Zbontar, J. and LeCun, Y. Computing the stereo matching cost with a convolutional neural network. City, 2015."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2639108.2639109"},{"key":"e_1_3_2_1_11_1","volume-title":"City","author":"Long J.","year":"2015","unstructured":"Long , J. , Shelhamer , E. and Darrell , T . Fully convolutional networks for semantic segmentation . City , 2015 . Long, J., Shelhamer, E. and Darrell, T. Fully convolutional networks for semantic segmentation. City, 2015."},{"key":"e_1_3_2_1_12_1","volume-title":"Learning OpenCV: Computer vision with the OpenCV library. \" O'Reilly Media","author":"Bradski G.","year":"2008","unstructured":"Bradski , G. and Kaehler , A . Learning OpenCV: Computer vision with the OpenCV library. \" O'Reilly Media , Inc .\", 2008 . Bradski, G. and Kaehler, A. Learning OpenCV: Computer vision with the OpenCV library. \" O'Reilly Media, Inc.\", 2008."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCPR.2009.5344078"},{"key":"e_1_3_2_1_14_1","volume-title":"City","author":"Wang Y.","year":"2019","unstructured":"Wang , Y. , Chao , W.-L. , Garg , D. , Hariharan , B. , Campbell , M. and Weinberger , K. Q . Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving . City , 2019 . Wang, Y., Chao, W.-L., Garg, D., Hariharan, B., Campbell, M. and Weinberger, K. Q. Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving. City, 2019."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2012.11.006"},{"key":"e_1_3_2_1_16_1","volume-title":"City","author":"Mayer N.","year":"2016","unstructured":"Mayer , N. , Ilg , E. , Hausser , P. , Fischer , P. , Cremers , D. , Dosovitskiy , A. and Brox , T . A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation . City , 2016 . Mayer, N., Ilg, E., Hausser, P., Fischer, P., Cremers, D., Dosovitskiy, A. and Brox, T. A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation. City, 2016."}],"event":{"name":"ICIAI 2020: 2020 the 4th International Conference on Innovation in Artificial Intelligence","sponsor":["The Hong Kong Polytechnic The Hong Kong Polytechnic University","Xi'an Jiaotong-Liverpool University Xi'an Jiaotong-Liverpool University"],"location":"Xiamen China","acronym":"ICIAI 2020"},"container-title":["Proceedings of the 2020 the 4th International Conference on Innovation in Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3390557.3394309","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3390557.3394309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:36Z","timestamp":1750199916000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3390557.3394309"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,8]]},"references-count":16,"alternative-id":["10.1145\/3390557.3394309","10.1145\/3390557"],"URL":"https:\/\/doi.org\/10.1145\/3390557.3394309","relation":{},"subject":[],"published":{"date-parts":[[2020,5,8]]},"assertion":[{"value":"2020-06-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}