{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T13:26:06Z","timestamp":1742995566517,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030386504"},{"type":"electronic","value":"9783030386511"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-38651-1_7","type":"book-chapter","created":{"date-parts":[[2020,1,18]],"date-time":"2020-01-18T12:02:43Z","timestamp":1579348963000},"page":"64-75","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["From AI to CI: A Definition of Cooperative Intelligence in Autonomous Driving"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4007-6109","authenticated-orcid":false,"given":"Jun","family":"Liu","sequence":"first","affiliation":[]},{"given":"Yang","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Jiawei","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,1,19]]},"reference":[{"unstructured":"Zi, L.: Liezi - Tangwen. (Annals of Spring and Autumn and Warring States Period)","key":"7_CR1"},{"unstructured":"The Terminator. https:\/\/en.wikipedia.org\/wiki\/The_Terminator . Accessed 2 July 2019","key":"7_CR2"},{"doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)","key":"7_CR3","DOI":"10.1109\/CVPR.2016.90"},{"key":"7_CR4","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1038\/nature16961","volume":"529","author":"D Silver","year":"2016","unstructured":"Silver, D., et al.: Mastering the game of Go with deep neural networks and tree search. Nature 529, 484\u2013489 (2016)","journal-title":"Nature"},{"doi-asserted-by":"crossref","unstructured":"Xiong, W., et al.: Achieving human parity in conversational speech recognition. Microsoft Research Technical Report, MSR-TR-2016-71 (2017)","key":"7_CR5","DOI":"10.1109\/ICASSP.2017.7953159"},{"unstructured":"Interview of Zhang Ba (Academician of Chinese Academy of Sciences). http:\/\/www.eeo.com.cn\/2019\/0524\/356928.shtml . Accessed 2 July 2019","key":"7_CR6"},{"issue":"4","key":"7_CR7","doi-asserted-by":"publisher","first-page":"1074","DOI":"10.1073\/pnas.1821594116","volume":"116","author":"M Waldrop","year":"2019","unstructured":"Waldrop, M.: What are the limits of deep learning? Proc. Natl. Acad. Sci. U.S.A. (PNAS) 116(4), 1074\u20131077 (2019)","journal-title":"Proc. Natl. Acad. Sci. U.S.A. (PNAS)"},{"unstructured":"Sabour, S., Frosst, N., Hinton, G.E.: Dynamic routing between capsules. In: 31st Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, USA (2016)","key":"7_CR8"},{"unstructured":"Wang, M., Deng, W.: Deep face recognition: a survey. https:\/\/arxiv.org\/abs\/1804.06655 (2019)","key":"7_CR9"},{"key":"7_CR10","doi-asserted-by":"publisher","first-page":"19143","DOI":"10.1109\/ACCESS.2019.2896880","volume":"7","author":"A Nassif","year":"2019","unstructured":"Nassif, A., Shah, I., Attili, I., et al.: Speech recognition using deep neural networks: a systematic review. IEEE Access 7, 19143\u201319165 (2019)","journal-title":"IEEE Access"},{"key":"7_CR11","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1038\/s41591-018-0316-z","volume":"25","author":"A Esteva","year":"2019","unstructured":"Esteva, A., et al.: A guide to deep learning in healthcare. Nat. Med. 25, 24\u201329 (2019)","journal-title":"Nat. Med."},{"doi-asserted-by":"publisher","unstructured":"Buoniu, L., Babuka, R., De Schutter, B.: Multi-agent reinforcement learning: an overview. In: Innovations in Multi-Agent Systems and Applications-1. Springer, Berlin (2010). https:\/\/doi.org\/10.1007\/978-3-642-14435-6_7","key":"7_CR12","DOI":"10.1007\/978-3-642-14435-6_7"},{"key":"7_CR13","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1613\/jair.4818","volume":"53","author":"D Bloembergen","year":"2015","unstructured":"Bloembergen, D., et al.: Evolutionary dynamics of multi-agent learning. JAIR 53, 659\u2013697 (2015)","journal-title":"JAIR"},{"issue":"1","key":"7_CR14","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/BF00155579","volume":"6","author":"B Chaib-Draa","year":"1992","unstructured":"Chaib-Draa, B., Moulin, B., Mandiau, R., Millot, P.: Trends in distributed artificial intelligence. Artif. Intell. Rev. 6(1), 35\u201366 (1992)","journal-title":"Artif. Intell. Rev."},{"key":"7_CR15","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780195131581.001.0001","volume-title":"Swarm Intelligence: From Natural to Artificial Systems","author":"E Bonabeau","year":"1999","unstructured":"Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, Oxford (1999)"},{"doi-asserted-by":"crossref","unstructured":"Rauch, A., Maier, S., Klanner, F., et al.: Inter-vehicle object association for cooperative perception systems. In: 16th International IEEE Conference on Intelligent Transportation Systems (2013)","key":"7_CR16","DOI":"10.1109\/ITSC.2013.6728345"},{"issue":"2","key":"7_CR17","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1109\/TITS.2014.2337316","volume":"16","author":"SW Kim","year":"2015","unstructured":"Kim, S.W., et al.: Multivehicle cooperative driving using cooperative perception: design and experimental validation. IEEE Trans. Intell. Transp. Syst. 16(2), 663\u2013680 (2015)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"doi-asserted-by":"crossref","unstructured":"Wang, Y., et al.: Performance and scaling of collaborative sensing and networking for automated driving applications. In: IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1\u20136 (2018)","key":"7_CR18","DOI":"10.1109\/ICCW.2018.8403778"},{"key":"7_CR19","first-page":"1","volume":"99","author":"Y Zheng","year":"2018","unstructured":"Zheng, Y., Bian, Y., Li, S., et al.: Cooperative control of heterogeneous connected vehicles with directed acyclic interactions. IEEE Intell. Transp. Syst. Mag. 99, 1 (2018)","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"issue":"3","key":"7_CR20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TITS.2018.2878909","volume":"20","author":"Z Huang","year":"2018","unstructured":"Huang, Z., et al.: Path planning and cooperative control for automated vehicle platoon using hybrid automata. IEEE Trans. Intell. Transp. Syst. 20(3), 1\u201316 (2018)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"doi-asserted-by":"crossref","unstructured":"Ng, L., Clark, C.M., Huissoon, J.P.: Reinforcement learning of adaptive longitudinal control for dynamic collaborative driving. In: 2008 IEEE Intelligent Vehicles Symposium (July 2008)","key":"7_CR21","DOI":"10.1109\/IVS.2008.4621222"},{"unstructured":"Vitelli, M., Nayebi, A.: CARMA: a deep reinforcement learning approach to autonomous driving (2016). http:\/\/web.stanford.edu\/anayebi\/projects\/CS_239_Final_Project_Writeup.pdf","key":"7_CR22"},{"unstructured":"Al Sallab, A.A., Abdou, M., Perot, E., Yogamani, S.: Deep reinforcement learning framework for autonomous driving. In: NIPS 2016 Workshop (December 2016)","key":"7_CR23"},{"doi-asserted-by":"crossref","unstructured":"Spryn, M., Sharma, A., Parkar, D., Shrimal, M.: Distributed deep reinforcement learning on the cloud for autonomous driving. In: Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems, May 28 (2018)","key":"7_CR24","DOI":"10.1145\/3194085.3194088"},{"key":"7_CR25","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1007\/978-3-642-41054-3_3","volume-title":"Wireless Sensor Networks for Developing Countries","author":"V de C\u00f3zar","year":"2013","unstructured":"de C\u00f3zar, V., Poncela, J., Aguilera, M., Aamir, M., Chowdhry, B.S.: Cooperative vehicle-to-vehicle awareness messages implementation. In: Shaikh, F.K., Chowdhry, B.S., Ammari, H.M., Uqaili, M.A., Shah, A. (eds.) WSN4DC 2013. CCIS, vol. 366, pp. 26\u201337. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41054-3_3"},{"doi-asserted-by":"crossref","unstructured":"Seeliger, F., et al.: Advisory warnings based on cooperative perception. In: IEEE Intelligent Vehicles Symposium Proceedings, pp. 8\u201311 (June 2014)","key":"7_CR26","DOI":"10.1109\/IVS.2014.6856479"},{"doi-asserted-by":"crossref","unstructured":"Jiang, D., Delgrossi, L.: IEEE 802.11p: towards an international standard for wireless access in vehicular environments. In: Vehicular Technology Conference (June 2008)","key":"7_CR27","DOI":"10.1109\/VETECS.2008.458"},{"unstructured":"3GPP Specification Set: 5G. https:\/\/www.3gpp.org\/dynareport\/SpecList.htm?release=Rel-15&tech=4 . Accessed 2 July 2019","key":"7_CR28"},{"unstructured":"Aeberhard, M., Kaempchen, N.: High-level sensor data fusion architecture for vehicle surround environment perception. In: International Workshop on Intelligent Transportation (2011)","key":"7_CR29"}],"container-title":["Lecture Notes in Computer Science","Internet of Vehicles. Technologies and Services Toward Smart Cities"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-38651-1_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,22]],"date-time":"2021-02-22T20:12:34Z","timestamp":1614024754000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-38651-1_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030386504","9783030386511"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-38651-1_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"19 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IOV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Internet of Vehicles","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kaohsiung","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iov2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.cs.ccu.edu.tw\/~conference\/iov2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}