{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T18:46:58Z","timestamp":1785955618420,"version":"3.56.0"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030012151","type":"print"},{"value":"9783030012168","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-01216-8_35","type":"book-chapter","created":{"date-parts":[[2018,10,8]],"date-time":"2018-10-08T15:10:26Z","timestamp":1539011426000},"page":"577-593","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":255,"title":["Textual Explanations for Self-Driving Vehicles"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6520-2074","authenticated-orcid":false,"given":"Jinkyu","family":"Kim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1161-6006","authenticated-orcid":false,"given":"Anna","family":"Rohrbach","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5453-8533","authenticated-orcid":false,"given":"Trevor","family":"Darrell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7161-7927","authenticated-orcid":false,"given":"John","family":"Canny","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1432-7747","authenticated-orcid":false,"given":"Zeynep","family":"Akata","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,10,9]]},"reference":[{"key":"35_CR1","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: Conference on Learning Representations (2014)"},{"key":"35_CR2","unstructured":"Bojarski, M., et al.: VisualBackProp: visualizing CNNs for autonomous driving. CoRR, vol. abs\/1611.05418 (2016)"},{"key":"35_CR3","unstructured":"Bojarski, M., et al.: End to end learning for self-driving cars. CoRR abs\/1604.07316 (2016)"},{"key":"35_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03991-1","volume-title":"The DARPA Urban Challenge: Autonomous Vehicles in City Traffic","author":"M Buehler","year":"2009","unstructured":"Buehler, M., Iagnemma, K., Singh, S.: The DARPA Urban Challenge: Autonomous Vehicles in City Traffic. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-03991-1"},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Chen, C., Seff, A., Kornhauser, A., Xiao, J.: Deepdriving: learning affordance for direct perception in autonomous driving. In: 2015 IEEE International Conference on Computer Vision (ICCV), pp. 2722\u20132730. IEEE (2015)","DOI":"10.1109\/ICCV.2015.312"},{"key":"35_CR6","unstructured":"Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: Aistats, vol. 9, pp. 249\u2013256 (2010)"},{"key":"35_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-46493-0_1","volume-title":"Computer Vision \u2013 ECCV 2016","author":"LA Hendricks","year":"2016","unstructured":"Hendricks, L.A., Akata, Z., Rohrbach, M., Donahue, J., Schiele, B., Darrell, T.: Generating visual explanations. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 3\u201319. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_1"},{"key":"35_CR8","doi-asserted-by":"crossref","unstructured":"Hendricks, L.A., Hu, R., Darrell, T., Akata, Z.: Grounding visual explanations. In: European Conference on Computer Vision (ECCV) (2018)","DOI":"10.1007\/978-3-030-01216-8_17"},{"key":"35_CR9","unstructured":"Hochreiter, S., Schmidhuber, J.: LSTM can solve hard long time lag problems. In: Advances in Neural Information Processing Systems, pp. 473\u2013479 (1997)"},{"key":"35_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71918-2","volume-title":"Forecasting with Exponential Smoothing: the State Space Approach","author":"R Hyndman","year":"2008","unstructured":"Hyndman, R., Koehler, A.B., Ord, J.K., Snyder, R.D.: Forecasting with Exponential Smoothing: the State Space Approach. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-71918-2"},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Kim, J., Canny, J.: Interpretable learning for self-driving cars by visualizing causal attention. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2942\u20132950 (2017)","DOI":"10.1109\/ICCV.2017.320"},{"key":"35_CR12","unstructured":"Kinga, D., Adam, J.B.: A method for stochastic optimization. In: International Conference on Learning Representations (ICLR) (2015)"},{"key":"35_CR13","unstructured":"Lavie, A., Agarwal, A.: Meteor: an automatic metric for MT evaluation with improved correlation with human judgments. In: Proceedings of the EMNLP 2011 Workshop on Statistical Machine Translation, pp. 65\u201372 (2005)"},{"issue":"7553","key":"35_CR14","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"35_CR15","doi-asserted-by":"crossref","unstructured":"Lee, H., Grosse, R., Ranganath, R., Ng, A.Y.: Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In: ICML, pp. 609\u2013616. ACM (2009)","DOI":"10.1145\/1553374.1553453"},{"key":"35_CR16","doi-asserted-by":"crossref","unstructured":"Levinson, J., et al.: Towards fully autonomous driving: systems and algorithms. In: Intelligent Vehicles Symposium (IV), pp. 163\u2013168. IEEE (2011)","DOI":"10.1109\/IVS.2011.5940562"},{"key":"35_CR17","doi-asserted-by":"crossref","unstructured":"Lombrozo, T.: Explanation and abductive inference. In: The Oxford Handbook of Thinking And Reasoning (2012)","DOI":"10.1093\/oxfordhb\/9780199734689.013.0014"},{"issue":"10","key":"35_CR18","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1016\/j.tics.2006.08.004","volume":"10","author":"T Lombrozo","year":"2006","unstructured":"Lombrozo, T.: The structure and function of explanations. Trends Cogn. Sci. 10(10), 464\u2013470 (2006)","journal-title":"Trends Cogn. Sci."},{"issue":"1","key":"35_CR19","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":"35_CR20","doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp. 311\u2013318. Association for Computational Linguistics (2002)","DOI":"10.3115\/1073083.1073135"},{"key":"35_CR21","doi-asserted-by":"crossref","unstructured":"Park, D.H., Hendricks, L.A., Akata, Z., Schiele, B., Darrell, T., Rohrbach, M.: Multimodal explanations: justifying decisions and pointing to the evidence. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)","DOI":"10.1109\/CVPR.2018.00915"},{"issue":"1","key":"35_CR22","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G.E., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"issue":"8","key":"35_CR23","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1002\/rob.20255","volume":"25","author":"C Urmson","year":"2008","unstructured":"Urmson, C.: Autonomous driving in urban environments: boss and the urban challenge. J. Field Robot. 25(8), 425\u2013466 (2008)","journal-title":"J. Field Robot."},{"key":"35_CR24","doi-asserted-by":"crossref","unstructured":"Vedantam, R., Lawrence Zitnick, C., Parikh, D.: Cider: consensus-based image description evaluation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4566\u20134575 (2015)","DOI":"10.1109\/CVPR.2015.7299087"},{"key":"35_CR25","doi-asserted-by":"crossref","unstructured":"Venugopalan, S., Rohrbach, M., Donahue, J., Mooney, R., Darrell, T., Saenko, K.: Sequence to sequence-video to text. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4534\u20134542 (2015)","DOI":"10.1109\/ICCV.2015.515"},{"key":"35_CR26","doi-asserted-by":"crossref","unstructured":"Xu, H., Gao, Y., Yu, F., Darrell, T.: End-to-end learning of driving models from large-scale video datasets. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2174\u20132182 (2017)","DOI":"10.1109\/CVPR.2017.376"},{"key":"35_CR27","unstructured":"Xu, K., et al.: Show, attend and tell: neural image caption generation with visual attention. In: International Conference on Machine Learning, pp. 2048\u20132057 (2015)"},{"key":"35_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1007\/978-3-319-10590-1_53","volume-title":"Computer Vision \u2013 ECCV 2014","author":"MD Zeiler","year":"2014","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 818\u2013833. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10590-1_53"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01216-8_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T00:27:28Z","timestamp":1665188848000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01216-8_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030012151","9783030012168"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01216-8_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"9 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","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":"8 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}