{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T13:10:01Z","timestamp":1729516201293,"version":"3.28.0"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T00:00:00Z","timestamp":1685404800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T00:00:00Z","timestamp":1685404800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Real-Time Image Proc"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s11554-023-01314-7","type":"journal-article","created":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T03:31:16Z","timestamp":1685417476000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhanced data fusion of ultrasonic and stereo vision in real-time obstacle detection"],"prefix":"10.1007","volume":"20","author":[{"given":"Farshad","family":"Gholami","sequence":"first","affiliation":[]},{"given":"Esmaeel","family":"Khanmirza","sequence":"additional","affiliation":[]},{"given":"Mohammad","family":"Riahi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,5,30]]},"reference":[{"key":"1314_CR1","doi-asserted-by":"crossref","unstructured":"Wang, H., Patil, S.V., Aziz, H.A., Young, S.: Modeling and control using stochastic distribution control theory for intersection traffic flow. IEEE Transact. Intell. Transport. Syst. 23, 1885\u20131898 (2020)","DOI":"10.1109\/TITS.2020.3028994"},{"key":"1314_CR2","doi-asserted-by":"crossref","unstructured":"Wang, H., Hu, P., Wang, H.: A genetic timing scheduling model for urban traffic signal control. Inf. Sci. 576, 475\u2013483 (2021)","DOI":"10.1016\/j.ins.2021.06.082"},{"key":"1314_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.107624","volume":"156","author":"Z Wang","year":"2020","unstructured":"Wang, Z.: Review of real-time three-dimensional shape measurement techniques. Measurement 156, 107624 (2020)","journal-title":"Measurement"},{"key":"1314_CR4","doi-asserted-by":"crossref","unstructured":"Wang, H., Zhang, X.: Real-time vehicle detection and tracking using 3d lidar. Asian J. Control. 24, 1459\u20131469 (2021)","DOI":"10.1002\/asjc.2519"},{"issue":"10","key":"1314_CR5","first-page":"466","volume":"2018","author":"DH Ye","year":"2018","unstructured":"Ye, D.H., Li, J., Chen, Q., Wachs, J., Bouman, C.: Deep learning for moving object detection and tracking from a single camera in unmanned aerial vehicles (uavs). Electronic Imaging 2018(10), 466\u20131 (2018)","journal-title":"Electronic Imaging"},{"key":"1314_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114544","volume":"170","author":"L Fan","year":"2021","unstructured":"Fan, L., Zhang, T., Du, W.: Optical-flow-based framework to boost video object detection performance with object enhancement. Expert Syst. Appl. 170, 114544 (2021)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"1314_CR7","doi-asserted-by":"publisher","first-page":"400","DOI":"10.3390\/s21020400","volume":"21","author":"S Lu","year":"2021","unstructured":"Lu, S., Luo, Z., Gao, F., Liu, M., Chang, K., Piao, C.: A fast and robust lane detection method based on semantic segmentation and optical flow estimation. Sensors 21(2), 400 (2021)","journal-title":"Sensors"},{"key":"1314_CR8","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1016\/j.ymssp.2017.03.008","volume":"94","author":"L Yu","year":"2017","unstructured":"Yu, L., Pan, B.: Single-camera high-speed stereo-digital image correlation for full-field vibration measurement. Mech. Syst. Signal Process. 94, 374\u2013383 (2017). https:\/\/doi.org\/10.1016\/j.ymssp.2017.03.008","journal-title":"Mech. Syst. Signal Process."},{"key":"1314_CR9","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.ymssp.2018.08.049","volume":"118","author":"T Durand-Texte","year":"2019","unstructured":"Durand-Texte, T., Simonetto, E., Durand, S., Melon, M., Moulet, M.-H.: Vibration measurement using a pseudo-stereo system, target tracking and vision methods. Mech. Syst. Signal Process. 118, 30\u201340 (2019). https:\/\/doi.org\/10.1016\/j.ymssp.2018.08.049","journal-title":"Mech. Syst. Signal Process."},{"key":"1314_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.107456","volume":"152","author":"D Gorjup","year":"2021","unstructured":"Gorjup, D., Slavi\u010d, J., Babnik, A., Bolte\u017ear, M.: Still-camera multiview spectral optical flow imaging for 3d operating-deflection-shape identification. Mech. Syst. Signal Process. 152, 107456 (2021). https:\/\/doi.org\/10.1016\/j.ymssp.2020.107456","journal-title":"Mech. Syst. Signal Process."},{"key":"1314_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2020.105937","volume":"181","author":"W-S Kim","year":"2021","unstructured":"Kim, W.-S., Lee, D.-H., Kim, Y.-J., Kim, T., Lee, W.-S., Choi, C.-H.: Stereo-vision-based crop height estimation for agricultural robots. Comput. Electron. Agric. 181, 105937 (2021)","journal-title":"Comput. Electron. Agric."},{"issue":"4","key":"1314_CR12","doi-asserted-by":"publisher","first-page":"7137","DOI":"10.1109\/LRA.2021.3097260","volume":"6","author":"B Wu","year":"2021","unstructured":"Wu, B., Wang, L., Liu, X., Wang, L., Xu, K.: Closed-loop pose control and automated suturing of continuum surgical manipulators with customized wrist markers under stereo vision. IEEE Robot. Automat. Lett. 6(4), 7137\u20137144 (2021)","journal-title":"IEEE Robot. Automat. Lett."},{"key":"1314_CR13","doi-asserted-by":"crossref","unstructured":"Han, C., Liu, W., Jin, L., Jiang, S., Li, H.: Adaptive weight based sparse block aggregation algorithm for stereo matching. In: 2019 9th International Conference on Information Science and Technology (ICIST), pp. 408\u2013412 (2019). IEEE","DOI":"10.1109\/ICIST.2019.8836748"},{"key":"1314_CR14","volume":"1634","author":"W Qiao","year":"2020","unstructured":"Qiao, W., Xu, Y., Zhang, C., Xu, Z., Huang, J., Xie, P., Lu, J.: An improved adaptive window stereo matching algorithm. J. Phys. 1634, 012066 (2020). (IOP Publishing)","journal-title":"J. Phys."},{"key":"1314_CR15","doi-asserted-by":"publisher","first-page":"61960","DOI":"10.1109\/ACCESS.2019.2916035","volume":"7","author":"W Wu","year":"2019","unstructured":"Wu, W., Zhu, H., Yu, S., Shi, J.: Stereo matching with fusing adaptive support weights. IEEE Access 7, 61960\u201361974 (2019)","journal-title":"IEEE Access"},{"key":"1314_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2022.104509","volume":"124","author":"X Ye","year":"2022","unstructured":"Ye, X., Yan, B., Liu, B., Wang, H., Qi, S., Chen, D., Wang, P., Wang, K., Sang, X.: Improved real-time three-dimensional stereo matching with local consistency. Image Vis. Comput. 124, 104509 (2022). https:\/\/doi.org\/10.1016\/j.imavis.2022.104509","journal-title":"Image Vis. Comput."},{"issue":"12","key":"1314_CR17","doi-asserted-by":"publisher","first-page":"2115","DOI":"10.1109\/TPAMI.2009.131","volume":"31","author":"O Woodford","year":"2009","unstructured":"Woodford, O., Torr, P., Reid, I., Fitzgibbon, A.: Global stereo reconstruction under second-order smoothness priors. IEEE Trans. Pattern Anal. Mach. Intell. 31(12), 2115\u20132128 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"1314_CR18","first-page":"127","volume":"22","author":"M Bleyer","year":"2007","unstructured":"Bleyer, M., Gelautz, M.: Graph-cut-based stereo matching using image segmentation with symmetrical treatment of occlusions. Signal Process. 22(2), 127\u2013143 (2007)","journal-title":"Signal Process."},{"key":"1314_CR19","doi-asserted-by":"crossref","unstructured":"Wang, H.-q., Wu, M., Zhang, Y.-b., Zhang, L.: Effective stereo matching using reliable points based graph cut. In: 2013 Visual Communications and Image Processing (VCIP), pp. 1\u20136 (2013). IEEE","DOI":"10.1109\/VCIP.2013.6706415"},{"key":"1314_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2021.102052","volume":"69","author":"B Lu","year":"2021","unstructured":"Lu, B., Sun, L., Yu, L., Dong, X.: An improved graph cut algorithm in stereo matching. Displays 69, 102052 (2021)","journal-title":"Displays"},{"key":"1314_CR21","unstructured":"Hirschmuller, H.: Stereo vision in structured environments by consistent semi-global matching. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201906), vol. 2, pp. 2386\u20132393 (2006). IEEE"},{"issue":"1","key":"1314_CR22","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s11554-021-01175-y","volume":"19","author":"J Toledo","year":"2022","unstructured":"Toledo, J., Lauer, M., Stiller, C.: Real-time stereo semi-global matching for video processing using previous incremental information. J. Real-Time Image Proc. 19(1), 205\u2013216 (2022)","journal-title":"J. Real-Time Image Proc."},{"key":"1314_CR23","doi-asserted-by":"crossref","unstructured":"Zbontar, J., LeCun, Y.: Computing the stereo matching cost with a convolutional neural network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1592\u20131599 (2015)","DOI":"10.1109\/CVPR.2015.7298767"},{"key":"1314_CR24","doi-asserted-by":"crossref","unstructured":"Hamid, M.S., Abd Manap, N., Hamzah, R.A., Kadmin, A.F.: Stereo matching algorithm based on deep learning: a survey. J. King Saud Univ-Comput. Inform. Sci. 34, 1663\u20131673 (2020)","DOI":"10.1016\/j.jksuci.2020.08.011"},{"key":"1314_CR25","doi-asserted-by":"crossref","unstructured":"Premaratne, P., Safaei, F.: Feature based stereo correspondence using moment invariant. In: 2008 4th International Conference on Information and Automation for Sustainability, pp. 104\u2013108 (2008). IEEE","DOI":"10.1109\/ICIAFS.2008.4783964"},{"issue":"2","key":"1314_CR26","doi-asserted-by":"publisher","DOI":"10.1117\/1.3535590","volume":"50","author":"C Lee","year":"2011","unstructured":"Lee, C., Lim, Y.-C., Kwon, S., Lee, J.: Stereo vision-based vehicle detection using a road feature and disparity histogram. Opt. Eng. 50(2), 027004 (2011)","journal-title":"Opt. Eng."},{"key":"1314_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2019.05.006","volume":"91","author":"T Xue","year":"2019","unstructured":"Xue, T., Owens, A., Scharstein, D., Goesele, M., Szeliski, R.: Multi-frame stereo matching with edges, planes, and superpixels. Image Vis. Comput. 91, 103771 (2019). https:\/\/doi.org\/10.1016\/j.imavis.2019.05.006","journal-title":"Image Vis. Comput."},{"key":"1314_CR28","doi-asserted-by":"crossref","unstructured":"Bertozzi, M., Broggi, A., Fascioli, A., Nichele, S.: Stereo vision-based vehicle detection. In: Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No. 00TH8511), pp. 39\u201344 (2000). IEEE","DOI":"10.1109\/IVS.2000.898315"},{"key":"1314_CR29","first-page":"1","volume":"70","author":"Y Li","year":"2020","unstructured":"Li, Y., Wang, Z.: Rgb line pattern-based stereo vision matching for single-shot 3-d measurement. IEEE Trans. Instrum. Meas. 70, 1\u201313 (2020)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"1314_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108195","volume":"167","author":"Y Shuang","year":"2021","unstructured":"Shuang, Y., Wang, Z.: Active stereo vision three-dimensional reconstruction by rgb dot pattern projection and ray intersection. Measurement 167, 108195 (2021)","journal-title":"Measurement"},{"key":"1314_CR31","doi-asserted-by":"crossref","unstructured":"Gholami, F., Khanmirza, E., Riahi, M.: Real-time obstacle detection by stereo vision and ultrasonic data fusion. Measurement. 190, 110718 (2022)","DOI":"10.1016\/j.measurement.2022.110718"},{"issue":"3","key":"1314_CR32","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1007\/s11554-018-0783-y","volume":"17","author":"J Li","year":"2020","unstructured":"Li, J., Wu, J., You, Y., Jeon, G.: Parallel binocular stereo-vision-based gpu accelerated pedestrian detection and distance computation. J. Real-Time Image Proc. 17(3), 447\u2013457 (2020)","journal-title":"J. Real-Time Image Proc."},{"key":"1314_CR33","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.robot.2017.03.018","volume":"93","author":"S Yang","year":"2017","unstructured":"Yang, S., Scherer, S.A., Yi, X., Zell, A.: Multi-camera visual slam for autonomous navigation of micro aerial vehicles. Robot. Auton. Syst. 93, 116\u2013134 (2017)","journal-title":"Robot. Auton. Syst."}],"container-title":["Journal of Real-Time Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-023-01314-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11554-023-01314-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-023-01314-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T12:54:51Z","timestamp":1729515291000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11554-023-01314-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,30]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["1314"],"URL":"https:\/\/doi.org\/10.1007\/s11554-023-01314-7","relation":{},"ISSN":["1861-8200","1861-8219"],"issn-type":[{"type":"print","value":"1861-8200"},{"type":"electronic","value":"1861-8219"}],"subject":[],"published":{"date-parts":[[2023,5,30]]},"assertion":[{"value":"25 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 May 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 May 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"63"}}