{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:13:12Z","timestamp":1742973192098,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031109850"},{"type":"electronic","value":"9783031109867"}],"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\/978-3-031-10986-7_32","type":"book-chapter","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T22:30:36Z","timestamp":1658183436000},"page":"396-405","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Designing a Model of Driving Scenarios for Autonomous Vehicles"],"prefix":"10.1007","author":[{"given":"Haythem","family":"Chniti","sequence":"first","affiliation":[]},{"given":"Mariem","family":"Mahfoudh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,19]]},"reference":[{"key":"32_CR1","unstructured":"https:\/\/www.who.int\/fr\/news-room\/fact-sheets\/detail\/road-traffic-injuries, June 2021"},{"key":"32_CR2","unstructured":"Association Pr\u00e9vention Routi\u00e8re. R\u00e9cup\u00e9r\u00e9 sur. https:\/\/www.preventionroutiere.asso.fr\/"},{"key":"32_CR3","doi-asserted-by":"crossref","unstructured":"Zuo, Z., Yu, K., Zhou, Q., Wang, X., Li, T.: Traffic signs detection based on faster R-CNN. In: 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW), pp. 286\u2013288. IEEE (2017)","DOI":"10.1109\/ICDCSW.2017.34"},{"key":"32_CR4","doi-asserted-by":"crossref","unstructured":"Pandey, R., Malik, A.: Object detection and movement prediction for autonomous vehicle: a review. In: 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 60\u201365 (2021)","DOI":"10.1109\/ICSCCC51823.2021.9478167"},{"key":"32_CR5","doi-asserted-by":"crossref","unstructured":"Redmon, J., Farhadi, A.: Yolo9000: better, faster, stronger. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7263\u20137271 (2017)","DOI":"10.1109\/CVPR.2017.690"},{"key":"32_CR6","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1440\u20131448 (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"32_CR7","first-page":"10","volume":"66","author":"C-L Tung","year":"2021","unstructured":"Tung, C.-L., Wang, C.-H., Su, Y.L.: Real-time face mask-wearing detection and temperature measurement based on a deep learning model. J. Imaging Sci. Technol. 66, 10 (2021)","journal-title":"J. Imaging Sci. Technol."},{"key":"32_CR8","doi-asserted-by":"crossref","unstructured":"Chen, W., Wang, W., Wang, K., Li, Z., Li, H., Liu, S.: Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation-a review. J. Traffic Transp. Eng. (Engl. Ed.) 7, 748\u2013774 (2020)","DOI":"10.1016\/j.jtte.2020.10.002"},{"key":"32_CR9","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Pizzati, F., Allodi, M., Barrera, A., Garcia, F.: Lane detection and classification using cascaded CNNs. arXiv preprint arXiv:1907.01294 (2019)","DOI":"10.1007\/978-3-030-45096-0_12"},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Neven, D., De Brabandere, B., Georgoulis, S., Proesmans, M., Van Gool, L.: Towards end-to-end lane detection: an instance segmentation approach. In: 2018 IEEE Intelligent Vehicles Symposium (IV), pp. 286\u2013291. IEEE (2018)","DOI":"10.1109\/IVS.2018.8500547"},{"issue":"3","key":"32_CR12","doi-asserted-by":"publisher","first-page":"242","DOI":"10.3311\/PPtr.11480","volume":"47","author":"C Lin","year":"2019","unstructured":"Lin, C., Li, L., Luo, W., Wang, K.C., Guo, J.: Transfer learning based traffic sign recognition using inception-v3 model. Periodica Polytechnica Transp. Eng. 47(3), 242\u2013250 (2019)","journal-title":"Periodica Polytechnica Transp. Eng."},{"key":"32_CR13","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.imavis.2019.04.003","volume":"87","author":"E Lee","year":"2019","unstructured":"Lee, E., Kim, D.: Accurate traffic light detection using deep neural network with focal regression loss. Image Vis. Comput. 87, 24\u201336 (2019)","journal-title":"Image Vis. Comput."},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Meng, Z., Fan, X., Chen, X., Chen, M., Tong, Y.: Detecting small signs from large images. In: 2017 IEEE International Conference on Information Reuse and Integration (IRI), pp. 217\u2013224. IEEE (2017)","DOI":"10.1109\/IRI.2017.57"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-10986-7_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,29]],"date-time":"2024-09-29T10:18:02Z","timestamp":1727605082000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-10986-7_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031109850","9783031109867"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-10986-7_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"19 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2022","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":"ksem2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ksem22.smart-conf.net\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"498","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"169","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"34% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}