{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T09:57:50Z","timestamp":1756461470255,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030963071"},{"type":"electronic","value":"9783030963088"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-030-96308-8_60","type":"book-chapter","created":{"date-parts":[[2022,3,26]],"date-time":"2022-03-26T13:15:41Z","timestamp":1648300541000},"page":"647-656","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Deep Residual Network for Autonomous Vehicles Obstacle Avoidance"],"prefix":"10.1007","author":[{"given":"Leila Haj","family":"Meftah","sequence":"first","affiliation":[]},{"given":"Rafik","family":"Braham","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,3,27]]},"reference":[{"key":"60_CR1","unstructured":"Huang, Y., Chen, Y.: Autonomous driving with deep learning: a survey of state-of-art technologies. arXiv preprint arXiv:2006.06091 (2020)"},{"issue":"4","key":"60_CR2","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1007\/s40534-016-0117-3","volume":"24","author":"SA Bagloee","year":"2016","unstructured":"Bagloee, S.A., Tavana, M., Asadi, M., Oliver, T.: Autonomous vehicles: challenges, opportunities, and future implications for transportation policies. J. Modern Transp. 24(4), 284\u2013303 (2016). https:\/\/doi.org\/10.1007\/s40534-016-0117-3","journal-title":"J. Modern Transp."},{"key":"60_CR3","doi-asserted-by":"crossref","unstructured":"Takaya, K., Asai, T., Kroumov, V., Smarandache, F.: Simulation environment for mobile robots testing using ROS and gazebo. In: 2016 20th International Conference on System Theory, Control and Computing (ICSTCC), pp. 96\u2013101, IEEE (2016)","DOI":"10.1109\/ICSTCC.2016.7790647"},{"issue":"7","key":"60_CR4","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Osindero, S., Teh, Y.-W.: A fast learning algorithm for deep belief nets. Neural Comput. 18(7), 1527\u20131554 (2006)","journal-title":"Neural Comput."},{"key":"60_CR5","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst. 25, 1097\u20131105 (2012)"},{"key":"60_CR6","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"60_CR7","unstructured":"Pomerleau, D.A.: Alvinn: an autonomous land vehicle in a neural network. Technical report Carnegie-Mellon Univ Pittsburgh pa artificial intelligence and psychology (1989)"},{"key":"60_CR8","unstructured":"Ciresan, D.C., Meier, U., Masci, J., Gambardella, L.M., Schmidhuber, J.: Flexible, high performance convolutional neural networks for image classification. In: Twenty-Second International Joint Conference on Artificial Intelligence (2011)"},{"key":"60_CR9","first-page":"2843","volume":"25","author":"D Ciresan","year":"2012","unstructured":"Ciresan, D., Giusti, A., Gambardella, L., Schmidhuber, J.: Deep neural networks segment neuronal membranes in electron microscopy images. Adv. Neural. Inf. Process. Syst. 25, 2843\u20132851 (2012)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"8","key":"60_CR10","doi-asserted-by":"publisher","first-page":"1915","DOI":"10.1109\/TPAMI.2012.231","volume":"35","author":"C Farabet","year":"2012","unstructured":"Farabet, C., Couprie, C., Najman, L., LeCun, Y.: Learning hierarchical features for scene labeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1915\u20131929 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"60_CR11","doi-asserted-by":"crossref","unstructured":"Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., Fei-Fei, L.: Large-scale video classification with convolutional neural networks. In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp. 1725\u20131732 (2014)","DOI":"10.1109\/CVPR.2014.223"},{"key":"60_CR12","doi-asserted-by":"crossref","unstructured":"Tran, D., Bourdev, L., Fergus, R., Torresani, L., Paluri, M.: Learning spatiotemporal features with 3D convolutional networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4489\u20134497 (2015)","DOI":"10.1109\/ICCV.2015.510"},{"key":"60_CR13","unstructured":"Muller, U., Ben, J., Cosatto, E., Flepp, B., Cun, Y.: Off-road obstacle avoidance through end-to-end learning. In: Advances in Neural Information Processing Systems, pp. 739\u2013746, Citeseer (2006)"},{"key":"60_CR14","unstructured":"Bojarski, M., et al.: End to end learning for self-driving cars. arXiv preprint arXiv:1604.07316 (2016)"},{"key":"60_CR15","doi-asserted-by":"crossref","unstructured":"Meftah, L.H., Braham, R.: A virtual simulation environment using deep learning for autonomous vehicles obstacle avoidance. In: 2020 IEEE International Conference on Intelligence and Security Informatics (ISI), pp. 1\u20137, IEEE (2020)","DOI":"10.1109\/ISI49825.2020.9280513"},{"key":"60_CR16","doi-asserted-by":"publisher","unstructured":"Meftah, L.H., Braham, R.: Transfer learning for autonomous vehicles obstacle avoidance with virtual simulation platform. In: Abraham, A., Piuri, V., Gandhi, N., Siarry, P., Kaklauskas, A., Madureira, A. (eds.) International Conference on Intelligent Systems Design and Applications, pp. 956\u2013965, Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-71187-0_88","DOI":"10.1007\/978-3-030-71187-0_88"},{"key":"60_CR17","doi-asserted-by":"publisher","unstructured":"Bottou L.: Stochastic gradient descent tricks. In: Montavon, G., Orr, G.B., M\u00fcller, KR. (eds) Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science, vol.7700. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-35289-8_25","DOI":"10.1007\/978-3-642-35289-8_25"},{"issue":"2","key":"60_CR18","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1109\/TEVC.2007.898781","volume":"12","author":"S-T Hsieh","year":"2008","unstructured":"Hsieh, S.-T., Sun, T.-Y., Lin, C.-L., Liu, C.-C.: Effective learning rate adjustment of blind source separation based on an improved particle swarm optimizer. IEEE Trans. Evolution. Comput. 12(2), 242\u2013251 (2008)","journal-title":"IEEE Trans. Evolution. Comput."}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-96308-8_60","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,26]],"date-time":"2022-03-26T13:22:53Z","timestamp":1648300973000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-96308-8_60"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030963071","9783030963088"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-96308-8_60","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"27 March 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda21\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}