{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T09:20:30Z","timestamp":1758705630495,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811379857"},{"type":"electronic","value":"9789811379864"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-981-13-7986-4_38","type":"book-chapter","created":{"date-parts":[[2019,4,26]],"date-time":"2019-04-26T02:04:38Z","timestamp":1556244278000},"page":"425-436","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Longitudinal and Lateral Coupling Model Based End-to-End Learning for Lane Keeping of Self-driving Cars"],"prefix":"10.1007","author":[{"given":"Wei","family":"Yuan","sequence":"first","affiliation":[]},{"given":"Ming","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Chunxiang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Bing","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,4,27]]},"reference":[{"key":"38_CR1","unstructured":"Lim, E.H., Hedrick, J.K.: Lateral and longitudinal vehicle control coupling for automated vehicle operation. In: 1999 Proceedings of the American Control Conference, vol. 5, pp. 3676\u20133680. IEEE (1999)"},{"key":"38_CR2","doi-asserted-by":"crossref","unstructured":"Bakker, E., Pacejka, H.B., Lidner, L.: A new tire model with an application in vehicle dynamics studies. SAE Trans. 101\u2013113 (1989)","DOI":"10.4271\/890087"},{"key":"38_CR3","doi-asserted-by":"crossref","unstructured":"Van Zanten, A.T., Erhardt, R., Pfaff, G.: VDC, the vehicle dynamics control system of Bosch. SAE Trans. 1419\u20131436 (1995)","DOI":"10.4271\/950759"},{"key":"38_CR4","unstructured":"Pomerleau, D.A.: ALVINN, an autonomous land vehicle in a neural network. Carnegie Mellon University, Computer Science Department, Technical report (1989)"},{"key":"38_CR5","doi-asserted-by":"crossref","unstructured":"Abbeel, P., Ng, A.Y.: Apprenticeship learning via inverse reinforcement learning. In: Proceedings of the Twenty-First International Conference on Machine Learning, p. 1. ACM (2004)","DOI":"10.1145\/1015330.1015430"},{"key":"38_CR6","unstructured":"Bojarski, M., et al.: End to end learning for self-driving cars. arXiv preprint \n                    arXiv:1604.07316\n                    \n                   (2016)"},{"key":"38_CR7","doi-asserted-by":"crossref","unstructured":"Yang, S., Wang, W., Liu, C., Deng, K., Hedrick, J.K.: Feature analysis and selection for training an end-to-end autonomous vehicle controller using the deep learning approach. arXiv preprint \n                    arXiv:1703.09744\n                    \n                   (2017)","DOI":"10.1109\/IVS.2017.7995850"},{"key":"38_CR8","doi-asserted-by":"crossref","unstructured":"Chen, Z., Huang, X.: End-to-end learning for lane keeping of self-driving cars. In: 2017 IEEE Intelligent Vehicles Symposium (IV), pp. 1856\u20131860. IEEE (2017)","DOI":"10.1109\/IVS.2017.7995975"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Yu, H., Yang, S., Gu, W., Zhang, S.: Baidu driving dataset and end-to-end reactive control model. In: 2017 IEEE Intelligent Vehicles Symposium (IV), pp. 341\u2013346. IEEE (2017)","DOI":"10.1109\/IVS.2017.7995742"},{"issue":"1","key":"38_CR10","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/TPAMI.2012.59","volume":"35","author":"S Ji","year":"2013","unstructured":"Ji, S., Xu, W., Yang, M., Yu, K.: 3D convolutional neural networks for human action recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 221\u2013231 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"38_CR11","doi-asserted-by":"crossref","unstructured":"Donahue, J., et al.: Long-term recurrent convolutional networks for visual recognition and description. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"38_CR12","unstructured":"Xingjian, S., Chen, Z., Wang, H., Yeung, D.-Y., Wong, W.-K., Woo, W.-C.: Convolutional LSTM network: a machine learning approach for precipitation nowcasting. In: Advances in Neural Information Processing Systems, pp. 802\u2013810 (2015)"},{"issue":"8","key":"38_CR13","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"38_CR14","unstructured":"Wymann, B., Dimitrakakis, C., Sumner, A., Espi\u00e9, E., Guionneau, C., Coulom, R.: TORCS, the open racing car simulator, v1.3.5 (2013). http:\/\/www.torcs.org"},{"key":"38_CR15","unstructured":"Snider, J.M., et al.: Automatic steering methods for autonomous automobile path tracking. Robotics Institute, Pittsburgh, PA, Technical report, CMU-RITR-09-08 (2009)"},{"issue":"1","key":"38_CR16","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1109\/TIV.2016.2578706","volume":"1","author":"B Paden","year":"2016","unstructured":"Paden, B., \u010c\u00e1p, M., Yong, S.Z., Yershov, D., Frazzoli, E.: A survey of motion planning and control techniques for self-driving urban vehicles. IEEE Trans. Intell. Veh. 1(1), 33\u201355 (2016)","journal-title":"IEEE Trans. Intell. Veh."},{"key":"38_CR17","doi-asserted-by":"crossref","unstructured":"Chen, C., Seff, A., Kornhauser, A., Xiao, J.: Deepdriving: learning affordance for direct perception in autonomous driving. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2722\u20132730 (2015)","DOI":"10.1109\/ICCV.2015.312"},{"key":"38_CR18","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint \n                    arXiv:1412.6980\n                    \n                   (2014)"}],"container-title":["Communications in Computer and Information Science","Cognitive Systems and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-7986-4_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,21]],"date-time":"2019-05-21T00:40:19Z","timestamp":1558399219000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-13-7986-4_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811379857","9789811379864"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-7986-4_38","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"27 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Cognitive Systems and Signal Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsip2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/csip2018.csp.escience.cn","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}