{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T16:30:51Z","timestamp":1768321851323,"version":"3.49.0"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Artificial Intelligence Laboratory, Eastern International University, Binh Duong, Vietnam"},{"name":"Vietnamese-German University","award":["DTCS2020-004"],"award-info":[{"award-number":["DTCS2020-004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1109\/tits.2021.3073557","type":"journal-article","created":{"date-parts":[[2021,4,28]],"date-time":"2021-04-28T20:07:11Z","timestamp":1619640431000},"page":"7855-7865","source":"Crossref","is-referenced-by-count":9,"title":["Feature Engineering and Deep Learning for Stereo Matching Under Adverse Driving Conditions"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2655-8622","authenticated-orcid":false,"given":"Vinh Quang","family":"Dinh","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Vietnamese-German University, Thu Dau Mot, Vietnam"}]},{"given":"Phuc Hong","family":"Nguyen","sequence":"additional","affiliation":[{"name":"School of Computing and Information Technology, Eastern International University, Binh Duong New City, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3734-6983","authenticated-orcid":false,"given":"Vinh Dinh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, FPT University, Can Tho, Vietnam"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2015.7225748"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.106060"},{"key":"ref33","article-title":"Efficient edge-awareness propagation via single-map filtering for edge-preserving stereo matching","volume":"9393","author":"matsuo","year":"2015","journal-title":"Proc SPIE"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2361422"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00190"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA.2019.8834193"},{"key":"ref37","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-35289-8_32","article-title":"A practical guide to training restricted Boltzmann machines","volume":"7700","author":"hinton","year":"2012","journal-title":"Neural Networks Tricks of the Trade"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref35","first-page":"4165","article-title":"Displets: Resolving stereo ambiguities using object knowledge","author":"guney","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref34","article-title":"High-speed segmentation-driven high-resolution matching","volume":"9445","author":"ekstrand","year":"2015","journal-title":"Proc SPIE"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XXXIX-B3-1-2012"},{"key":"ref27","first-page":"1","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"han","year":"2016","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.procs.2016.05.305","article-title":"Embedded real-time stereo estimation via semi-global matching on the GPU","volume":"8","author":"hernandez-juarez","year":"2016","journal-title":"Proc Int Conf Comput Sci"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1109\/TPAMI.2010.136","article-title":"Robust stereo matching using adaptive normalized cross-correlation","volume":"33","author":"heo","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1109\/TPAMI.2006.104","article-title":"On-road vehicle detection: A review","volume":"28","author":"sun","year":"2006","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.77"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247715"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.222"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2615619"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2913883"},{"key":"ref26","first-page":"153","article-title":"Greedy layer-wise training of deep networks","author":"bengio","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","article-title":"Dense cross-modal correspondence estimation with the deep self-correlation descriptor","author":"kim","year":"2020","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1166"},{"key":"ref51","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-40246-3_5","article-title":"Weighted semi-global matching and center-symmetric census transform for robust driver assistance","author":"spangenberg","year":"2013","journal-title":"Computer Analysis of Images and Patterns"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-28831-7_26"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.5220\/0006134104590466"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2014.6856419"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2563661"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2266661"},{"key":"ref40","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.221"},{"key":"ref13","first-page":"5515","article-title":"Deepstereo: Learning to predict new views from the world&#x2019;s imagery","author":"flynn","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299064"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.117"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SMBV.2001.988771"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.108"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2015.04.001"},{"key":"ref19","first-page":"1","article-title":"Real-time stereo to multi-view conversion system based on adaptive meshing","volume":"14","author":"yao","year":"2015","journal-title":"J Real-Time Image Process"},{"key":"ref4","first-page":"807","article-title":"Local density encoding for robust stereo matching","volume":"24","author":"nguyen","year":"2014","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref3","first-page":"151","article-title":"Non-parametric local transforms for computing visual correspondence","volume":"801","author":"zabih","year":"1994","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref6","first-page":"1592","article-title":"Computing the stereo matching cost with a convolutional neural network","author":"zbontar","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref5","first-page":"1","article-title":"Guided image filtering","author":"he","year":"2010","journal-title":"Proc ECCV"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.17"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2012.6232171"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2752370"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2013.2242910"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref48","year":"2010","journal-title":"Middlebury Vision Evaluation"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2011.2148134"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2894913"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.436"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1117\/1.OE.51.2.021107"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00027"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9826234\/09417865.pdf?arnumber=9417865","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T23:18:00Z","timestamp":1670368680000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9417865\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":54,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tits.2021.3073557","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7]]}}}