{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:44:30Z","timestamp":1757619870908,"version":"3.44.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031982835"},{"type":"electronic","value":"9783031982842"}],"license":[{"start":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T00:00:00Z","timestamp":1753747200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T00:00:00Z","timestamp":1753747200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-031-98284-2_24","type":"book-chapter","created":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T06:24:14Z","timestamp":1753683854000},"page":"313-323","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Real-Time Adaptive Navigation for\u00a0AVs via\u00a0Hybrid Deep Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1351-6973","authenticated-orcid":false,"given":"Leila Haj","family":"Meftah","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7131-2403","authenticated-orcid":false,"given":"Sirine","family":"Mnejja","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,29]]},"reference":[{"issue":"4","key":"24_CR1","doi-asserted-by":"publisher","first-page":"42","DOI":"10.3390\/bdcc8040042","volume":"8","author":"D Garikapati","year":"2024","unstructured":"Garikapati, D., Shetiya, S.S.: Autonomous vehicles: evolution of artificial intelligence and the current industry landscape. Big Data Cogn. Comput. 8(4), 42 (2024)","journal-title":"Big Data Cogn. Comput."},{"issue":"2","key":"24_CR2","doi-asserted-by":"publisher","first-page":"321","DOI":"10.3390\/futuretransp4020017","volume":"4","author":"HY Makahleh","year":"2024","unstructured":"Makahleh, H.Y., Ferranti, E., Dissanayake, D.: Assessing the role of autonomous vehicles in urban areas: a systematic review of literature. Fut. Transp. 4(2), 321\u2013348 (2024)","journal-title":"Fut. Transp."},{"issue":"3","key":"24_CR3","first-page":"56","volume":"14","author":"VD Sagar","year":"2019","unstructured":"Sagar, V.D., Nanjundeswaraswamy, T.S.: Artificial intelligence in autonomous vehicles - a literature review. i-Manager\u2019s J. Fut. Eng. Technol. 14(3), 56 (2019)","journal-title":"i-Manager\u2019s J. Fut. Eng. Technol."},{"issue":"14","key":"24_CR4","doi-asserted-by":"publisher","first-page":"2162","DOI":"10.3390\/electronics11142162","volume":"11","author":"D Parekh","year":"2022","unstructured":"Parekh, D., et al.: A review on autonomous vehicles: progress, methods and challenges. Electronics 11(14), 2162 (2022)","journal-title":"Electronics"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Y. Wiseman: Autonomous vehicles. In: Research Anthology on Cross-Disciplinary Designs and Applications of Automation, pp. 878\u2013889. IGI Global Scientific Publishing (2022)","DOI":"10.4018\/978-1-6684-3694-3.ch043"},{"issue":"1","key":"24_CR6","first-page":"8867757","volume":"2020","author":"J Wang","year":"2020","unstructured":"Wang, J., Zhang, L., Huang, Y., Zhao, J.: Safety of autonomous vehicles. J. Adv. Transp. 2020(1), 8867757 (2020)","journal-title":"J. Adv. Transp."},{"issue":"4","key":"24_CR7","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.3390\/en15041358","volume":"15","author":"S Abdallaoui","year":"2022","unstructured":"Abdallaoui, S., Aglzim, E.-H., Chaibet, A., Krib\u00e8che, A.: Thorough review analysis of safe control of autonomous vehicles: path planning and navigation techniques. Energies 15(4), 1358 (2022)","journal-title":"Energies"},{"key":"24_CR8","unstructured":"Wolf, P.: Ensuring safe autonomy: navigating the future of autonomous vehicles. arXiv preprint arXiv:2403.19006 (2024)"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Horri, N., Holderbaum, W., Giulietti, F.: Challenges in the guidance, navigation and control of autonomous and transport vehicles (2024)","DOI":"10.3390\/books978-3-7258-2184-6"},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"Lin, S.-L., Lin, B.-C.: Enhancing safety in autonomous vehicle navigation: an optimized path planning approach leveraging model predictive control. Comput. Mater. Continua 80(3) (2024)","DOI":"10.32604\/cmc.2024.055456"},{"issue":"18","key":"24_CR11","doi-asserted-by":"publisher","first-page":"3660","DOI":"10.3390\/electronics13183660","volume":"13","author":"T Miller","year":"2024","unstructured":"Miller, T., Durlik, I., Kostecka, E., Borkowski, P., \u0141obodzi\u0144ska, A.: A critical AI view on autonomous vehicle navigation: the growing danger. Electronics 13(18), 3660 (2024)","journal-title":"Electronics"},{"key":"24_CR12","doi-asserted-by":"publisher","first-page":"108550","DOI":"10.1016\/j.engappai.2024.108550","volume":"133","author":"A Thakur","year":"2024","unstructured":"Thakur, A., Mishra, S.K.: An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles. Eng. Appl. Artif. Intell. 133, 108550 (2024)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"Fu, Y., Li, C., Richard Yu, F., Luan, T.H., Zhang, Y.: Hybrid autonomous driving guidance strategy combining deep reinforcement learning and expert system. IEEE Trans. Intell. Transp. Syst. 23(8), 11273\u201311286 (2021)","DOI":"10.1109\/TITS.2021.3102432"},{"issue":"1","key":"24_CR14","doi-asserted-by":"publisher","first-page":"117","DOI":"10.3390\/s25010117","volume":"25","author":"R Guti\u00e9rrez-Moreno","year":"2024","unstructured":"Guti\u00e9rrez-Moreno, R., et al.: Enhancing autonomous driving in urban scenarios: a hybrid approach with reinforcement learning and classical control. Sensors 25(1), 117 (2024)","journal-title":"Sensors"},{"key":"24_CR15","doi-asserted-by":"publisher","first-page":"110119","DOI":"10.1016\/j.engappai.2025.110119","volume":"144","author":"R Machavaram","year":"2025","unstructured":"Machavaram, R., et al.: Intelligent path planning for autonomous ground vehicles in dynamic environments utilizing adaptive neuro-fuzzy control. Eng. Appl. Artif. Intell. 144, 110119 (2025)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Dong, G., Tang, M., Yan, R., Mu, Z., Cai, L., Brian Park, B.: Deep learning for autonomous vehicles and systems. In: Autonomous Vehicles and Systems, pp. 9\u201347. River Publishers (2023)","DOI":"10.1201\/9781032629537-2"},{"issue":"10","key":"24_CR17","first-page":"143","volume":"9","author":"S Tammina","year":"2019","unstructured":"Tammina, S.: Transfer learning using VGG-16 with deep convolutional neural network for classifying images. Int. J. Sci. Res. Publ. (IJSRP) 9(10), 143\u2013150 (2019)","journal-title":"Int. J. Sci. Res. Publ. (IJSRP)"},{"key":"24_CR18","doi-asserted-by":"crossref","unstructured":"Yin, H., Vahdat, A., Alvarez, J.M., Mallya, A., Kautz, J., Molchanov, P.: A-ViT: adaptive tokens for efficient vision transformer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10809\u201310818 (2022)","DOI":"10.1109\/CVPR52688.2022.01054"},{"key":"24_CR19","doi-asserted-by":"publisher","first-page":"129504","DOI":"10.1016\/j.energy.2023.129504","volume":"286","author":"Z Li","year":"2024","unstructured":"Li, Z., Li, L., Chen, J., Wang, D.: A multi-head attention mechanism aided hybrid network for identifying batteries\u2019 state of charge. Energy 286, 129504 (2024)","journal-title":"Energy"},{"key":"24_CR20","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"}],"container-title":["Lecture Notes in Computer Science","Generative Systems and Intelligent Tutoring Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-98284-2_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T02:34:49Z","timestamp":1757298889000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-98284-2_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,29]]},"ISBN":["9783031982835","9783031982842"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-98284-2_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,7,29]]},"assertion":[{"value":"29 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ITS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Tutoring Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Alexandroupolis","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2025","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":"its2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iis-international.org\/its2025-generative-systems\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}