{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T10:08:59Z","timestamp":1764842939351,"version":"3.38.0"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T00:00:00Z","timestamp":1732924800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T00:00:00Z","timestamp":1732924800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"University fellowships towards the creation of science technology innovation","award":["JPMJFS2132"],"award-info":[{"award-number":["JPMJFS2132"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. ITS Res."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1007\/s13177-024-00449-6","type":"journal-article","created":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T04:45:06Z","timestamp":1732941906000},"page":"281-289","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Braking Detection and Prediction with Inter-vehicle Distance Estimated from Driving Videos"],"prefix":"10.1007","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8051-8119","authenticated-orcid":false,"given":"Hanwei","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Shintaro","family":"Ono","sequence":"additional","affiliation":[]},{"given":"Hiroshi","family":"Kawasaki","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,30]]},"reference":[{"issue":"3","key":"449_CR1","doi-asserted-by":"publisher","first-page":"5191","DOI":"10.1109\/LRA.2021.3068640","volume":"6","author":"B Bescos","year":"2021","unstructured":"Bescos, B., Campos, C., Tard\u00f3s, J.D., Neira, J.: Dynaslam ii: Tightly-coupled multi-object tracking and slam. IEEE Robot. Automat. Lett. 6(3), 5191\u20135198 (2021)","journal-title":"IEEE Robot. Automat. Lett."},{"issue":"4","key":"449_CR2","doi-asserted-by":"publisher","first-page":"4076","DOI":"10.1109\/LRA.2018.2860039","volume":"3","author":"B Bescos","year":"2018","unstructured":"Bescos, B., F\u00e1cil, J.M., Civera, J., Neira, J.: Dynaslam: Tracking, mapping, and inpainting in dynamic scenes. IEEE Robot. Automat. Lett. 3(4), 4076\u20134083 (2018)","journal-title":"IEEE Robot. Automat. Lett."},{"key":"449_CR3","unstructured":"Dorogush, A.V., Ershov, V., Gulin, A.: Catboost: gradient boosting with categorical features support. arXiv:1810.11363 (2018)"},{"issue":"1","key":"449_CR4","doi-asserted-by":"publisher","first-page":"128","DOI":"10.3141\/2169-14","volume":"2169","author":"S Drobot","year":"2010","unstructured":"Drobot, S., Chapman, M., Schuler, E., Wiener, G., Mahoney, W., III., Pisano, P., McKeever, B.: Improving road weather hazard products with vehicle probe data: Vehicle data translator quality-checking procedures. Trans. Res. Record 2169(1), 128\u2013140 (2010)","journal-title":"Trans. Res. Record"},{"issue":"3","key":"449_CR5","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1109\/TPAMI.2017.2658577","volume":"40","author":"J Engel","year":"2017","unstructured":"Engel, J., Koltun, V., Cremers, D.: Direct sparse odometry. IEEE Trans. Pattern Anal. Mach. Intell. 40(3), 611\u2013625 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"449_CR6","doi-asserted-by":"crossref","unstructured":"Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Annal. Stat. pp. 1189\u20131232 (2001)","DOI":"10.1214\/aos\/1013203451"},{"key":"449_CR7","doi-asserted-by":"crossref","unstructured":"Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? the kitti vision benchmark suite. In: 2012 IEEE Conference On Computer Vision And Pattern Recognition, pp. 3354\u20133361. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"449_CR8","doi-asserted-by":"crossref","unstructured":"Godard, C., Mac Aodha, O., Brostow, G.J.: Unsupervised monocular depth estimation with left-right consistency. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.699"},{"key":"449_CR9","doi-asserted-by":"crossref","unstructured":"Godard, C., Mac\u00a0Aodha, O., Firman, M., Brostow, G.J.: Digging into self-supervised monocular depth estimation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3828\u20133838 (2019)","DOI":"10.1109\/ICCV.2019.00393"},{"key":"449_CR10","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask r-cnn. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"issue":"3","key":"449_CR11","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1111\/mice.12251","volume":"32","author":"Z He","year":"2017","unstructured":"He, Z., Zheng, L., Chen, P., Guan, W.: Mapping to cells: a simple method to extract traffic dynamics from probe vehicle data. Computer-Aided Civil Infrastruct. Eng. 32(3), 252\u2013267 (2017)","journal-title":"Computer-Aided Civil Infrastruct. Eng."},{"key":"449_CR12","doi-asserted-by":"crossref","unstructured":"Huang, J., Yang, S., Mu, T.J., Hu, S.M.: Clustervo: Clustering moving instances and estimating visual odometry for self and surroundings. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2168\u20132177 (2020)","DOI":"10.1109\/CVPR42600.2020.00224"},{"issue":"1","key":"449_CR13","first-page":"2","volume":"12","author":"T Hunter","year":"2009","unstructured":"Hunter, T., Herring, R., Abbeel, P., Bayen, A.: Path and travel time inference from gps probe vehicle data. NIPS Analyzing Netw. Learn. Graphs 12(1), 2 (2009)","journal-title":"NIPS Analyzing Netw. Learn. Graphs"},{"key":"449_CR14","doi-asserted-by":"crossref","unstructured":"Kawatani, T., Itoh, E., Hirokawa, S., Mine, T.: Location does not always determine sudden braking. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 875\u2013882. IEEE (2019)","DOI":"10.1109\/ITSC.2019.8917480"},{"key":"449_CR15","doi-asserted-by":"crossref","unstructured":"Kawatani, T., Itoh, E., Hirokawa, S., Mine, T.: Machine learning and visualization of sudden braking using probe data. In: 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 67\u201372. IEEE (2019)","DOI":"10.1109\/IIAI-AAI.2019.00024"},{"key":"449_CR16","unstructured":"Lee, J.H., Han, M.K., Ko, D.W., Suh, I.H.: From big to small: Multi-scale local planar guidance for monocular depth estimation. (2019). arXiv:1907.10326"},{"key":"449_CR17","doi-asserted-by":"crossref","unstructured":"Li, P., Qin, T., et\u00a0al.: Stereo vision-based semantic 3d object and ego-motion tracking for autonomous driving. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 646\u2013661 (2018)","DOI":"10.1007\/978-3-030-01216-8_40"},{"key":"449_CR18","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Doll\u00e1r, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2117\u20132125 (2017)","DOI":"10.1109\/CVPR.2017.106"},{"key":"449_CR19","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, pp. 740\u2013755. Springer (2014)","DOI":"10.1007\/978-3-319-10602-1_48"},{"issue":"5","key":"449_CR20","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1109\/TRO.2015.2463671","volume":"31","author":"R Mur-Artal","year":"2015","unstructured":"Mur-Artal, R., Montiel, J.M.M., Tardos, J.D.: Orb-slam: a versatile and accurate monocular slam system. IEEE Trans. Robot. 31(5), 1147\u20131163 (2015)","journal-title":"IEEE Trans. Robot."},{"key":"449_CR21","doi-asserted-by":"crossref","unstructured":"Nanthawichit, C., Nakatsuji, T., Suzuki, H.: Application of probe-vehicle data for real-time traffic-state estimation and short-term travel-time prediction on a freeway. Trans. Res. Record 1855(1), 49\u201359 (2003)","DOI":"10.3141\/1855-06"},{"key":"449_CR22","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.trc.2015.03.018","volume":"70","author":"H Park","year":"2016","unstructured":"Park, H., Haghani, A.: Real-time prediction of secondary incident occurrences using vehicle probe data. Trans. Res. Part C: Emerging Technol. 70, 69\u201385 (2016)","journal-title":"Trans. Res. Part C: Emerging Technol."},{"key":"449_CR23","first-page":"366","volume":"19","author":"Y Sato","year":"2021","unstructured":"Sato, Y., Kawatani, T., Mine, T.: Influence of weather features in determining sudden braking. Int. J. Intell. Trans. Syst. Res. 19, 366\u2013377 (2021)","journal-title":"Int. J. Intell. Trans. Syst. Res."},{"key":"449_CR24","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.trc.2018.10.012","volume":"97","author":"P Seku\u0142a","year":"2018","unstructured":"Seku\u0142a, P., Markovi\u0107, N., Vander Laan, Z., Sadabadi, K.F.: Estimating historical hourly traffic volumes via machine learning and vehicle probe data: A maryland case study. Trans. Res. Part C: Emerging Technol. 97, 147\u2013158 (2018)","journal-title":"Trans. Res. Part C: Emerging Technol."},{"issue":"4","key":"449_CR25","doi-asserted-by":"publisher","first-page":"1467","DOI":"10.3390\/app10041467","volume":"10","author":"C Sheng","year":"2020","unstructured":"Sheng, C., Pan, S., Gao, W., Tan, Y., Zhao, T.: Dynamic-dso: direct sparse odometry using objects semantic information for dynamic environments. Appl. Sci. 10(4), 1467 (2020)","journal-title":"Appl. Sci."},{"key":"449_CR26","unstructured":"Wu, Y., Kirillov, A., Massa, F., Lo, W.Y., Girshick, R.: Detectron2. (2019). https:\/\/github.com\/facebookresearch\/detectron2"},{"key":"449_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.robot.2019.03.012","volume":"117","author":"L Xiao","year":"2019","unstructured":"Xiao, L., Wang, J., Qiu, X., Rong, Z., Zou, X.: Dynamic-slam: Semantic monocular visual localization and mapping based on deep learning in dynamic environment. Robot. Autonomous Syst. 117, 1\u201316 (2019)","journal-title":"Robot. Autonomous Syst."},{"key":"449_CR28","doi-asserted-by":"crossref","unstructured":"Yang, L., Kang, B., Huang, Z., Xu, X., Feng, J., Zhao, H.: Depth anything: Unleashing the power of large-scale unlabeled data. (2024). arXiv:2401.10891","DOI":"10.1109\/CVPR52733.2024.00987"},{"key":"449_CR29","doi-asserted-by":"crossref","unstructured":"Zhang, H., Uchiyama, H., Ono, S., Kawasaki, H.: Motslam: Mot-assisted monocular dynamic slam using single-view depth estimation. In: 2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4865\u20134872. IEEE (2022)","DOI":"10.1109\/IROS47612.2022.9982280"}],"container-title":["International Journal of Intelligent Transportation Systems Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13177-024-00449-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13177-024-00449-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13177-024-00449-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,15]],"date-time":"2025-03-15T16:23:05Z","timestamp":1742055785000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13177-024-00449-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,30]]},"references-count":29,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,4]]}},"alternative-id":["449"],"URL":"https:\/\/doi.org\/10.1007\/s13177-024-00449-6","relation":{},"ISSN":["1348-8503","1868-8659"],"issn-type":[{"type":"print","value":"1348-8503"},{"type":"electronic","value":"1868-8659"}],"subject":[],"published":{"date-parts":[[2024,11,30]]},"assertion":[{"value":"31 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 August 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 November 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 November 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This work is supported by JST, the establishment of university fellowships towards the creation of science technology innovation, Grant Number JPMJFS2132. The authors declare they have no financial interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}