{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T14:06:23Z","timestamp":1771509983011,"version":"3.50.1"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031840999","type":"print"},{"value":"9783031841002","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-84100-2_19","type":"book-chapter","created":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T00:00:05Z","timestamp":1741392005000},"page":"156-163","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Setting Up a Lightweight Simulation Environment for Automated Driving Dataset Collection"],"prefix":"10.1007","author":[{"given":"Luca","family":"Forneris","sequence":"first","affiliation":[]},{"given":"Francesco","family":"Bellotti","sequence":"additional","affiliation":[]},{"given":"Riccardo","family":"Berta","sequence":"additional","affiliation":[]},{"given":"Marianna","family":"Cossu","sequence":"additional","affiliation":[]},{"given":"Matteo","family":"Fresta","sequence":"additional","affiliation":[]},{"given":"Raziye","family":"Rezaieamale","sequence":"additional","affiliation":[]},{"given":"Hadise","family":"Rojhan","sequence":"additional","affiliation":[]},{"given":"Vafali","family":"Soltanmuradov","sequence":"additional","affiliation":[]},{"given":"Fabio","family":"Tango","sequence":"additional","affiliation":[]},{"given":"Luca","family":"Lazzaroni","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,8]]},"reference":[{"key":"19_CR1","doi-asserted-by":"publisher","unstructured":"Berta, R., Lazzaroni, L., Capello, A., Cossu, M., Forneris, L., Pighetti, A., Bellotti, F.: Development of deep-learning-based autonomous agents for low-speed maneuvering in Unity. J. Intell. Connect. Veh. (in press). https:\/\/doi.org\/10.26599\/JICV.2023.9210039.","DOI":"10.26599\/JICV.2023.9210039"},{"key":"19_CR2","doi-asserted-by":"publisher","first-page":"1446","DOI":"10.1007\/s11431-017-9338-1","volume":"61","author":"D Yang","year":"2018","unstructured":"Yang, D., Jiang, K., Zhao, D., Yu, C., Cao, Z., Xie, S., Xiao, Z., Jiao, X., Wang, S., Zhang, K.: Intelligent and connected vehicles: Current status and future perspectives. Sci. China Technol. Sci. 61, 1446\u20131471 (2018). https:\/\/doi.org\/10.1007\/s11431-017-9338-1.","journal-title":"Sci. China Technol. Sci."},{"key":"19_CR3","doi-asserted-by":"publisher","unstructured":"Motta, J., et al.: Developing a synthetic dataset for driving scenarios. In: Saponara, S., De Gloria, A. (eds.) Applications in Electronics Pervading Industry, Environment and Society. pp. 310\u2013316. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-95498-7_43.","DOI":"10.1007\/978-3-030-95498-7_43"},{"key":"19_CR4","unstructured":"Geyer, J., et al.: A2D2: Audi autonomous driving dataset, http:\/\/arxiv.org\/abs\/2004.06320, (2020)"},{"key":"19_CR5","doi-asserted-by":"publisher","unstructured":"Cossu, M., Berta, R., Capello, A., De Gloria, A., Lazzaroni, L., Bellotti, F.: Developing a toolchain for synthetic driving scenario datasets. In: Berta, R., De Gloria, A. (eds.) Applications in Electronics Pervading Industry, Environment and Society. pp. 222\u2013228. Springer Nature Switzerland, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-30333-3_29.","DOI":"10.1007\/978-3-031-30333-3_29"},{"key":"19_CR6","doi-asserted-by":"publisher","unstructured":"Forneris, L., et al.: A synthetic dataset generator for automotive overtaking maneuver detection. In: Bellotti, F., et al. (eds.) Applications in Electronics Pervading Industry, Environment and Society, pp. 364\u2013369. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-48121-5_52.","DOI":"10.1007\/978-3-031-48121-5_52"},{"key":"19_CR7","doi-asserted-by":"publisher","unstructured":"Leudet, J., Mikkonen, T., Christophe, F., M\u00e4nnist\u00f6, T.: Virtual environment for training autonomous vehicles. In: Giuliani, M., Assaf, T., Giannaccini, M.E. (eds.) Towards Autonomous Robotic Systems, pp. 159\u2013169. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-96728-8_14.","DOI":"10.1007\/978-3-319-96728-8_14"},{"key":"19_CR8","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.aap.2019.01.006","volume":"124","author":"X Wang","year":"2019","unstructured":"Wang, X., Yang, M., Hurwitz, D.: Analysis of cut-in behavior based on naturalistic driving data. Accid. Anal. Prev. 124, 127\u2013137 (2019). https:\/\/doi.org\/10.1016\/j.aap.2019.01.006.","journal-title":"Accid. Anal. Prev."},{"key":"19_CR9","doi-asserted-by":"publisher","first-page":"157","DOI":"10.3328\/TL.2010.02.03.157-173","volume":"2","author":"S Moridpour","year":"2010","unstructured":"Moridpour, S., Sarvi, M., Rose, G.: Lane changing models: a critical review. Transp. Lett. 2, 157\u2013173 (2010). https:\/\/doi.org\/10.3328\/TL.2010.02.03.157-173.","journal-title":"Transp. Lett."},{"key":"19_CR10","doi-asserted-by":"publisher","first-page":"6866","DOI":"10.1109\/TITS.2020.2995837","volume":"22","author":"X Wang","year":"2021","unstructured":"Wang, X., Guo, Y., Bai, C., Yuan, Q., Liu, S., Han, J.: Driver\u2019s Intention Identification With the Involvement of Emotional Factors in Two-Lane Roads. IEEE Trans. Intell. Transp. Syst. 22, 6866\u20136874 (2021). https:\/\/doi.org\/10.1109\/TITS.2020.2995837.","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"19_CR11","doi-asserted-by":"publisher","unstructured":"Dosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., Koltun, V.: CARLA: an open urban driving simulator (2017). http:\/\/arxiv.org\/abs\/1711.03938. https:\/\/doi.org\/10.48550\/arXiv.1711.03938.","DOI":"10.48550\/arXiv.1711.03938"},{"key":"19_CR12","unstructured":"RoadRunner, https:\/\/it.mathworks.com\/products\/roadrunner.html, Accessed 19 July 2024"},{"key":"19_CR13","doi-asserted-by":"publisher","first-page":"10957","DOI":"10.1109\/TITS.2021.3098309","volume":"23","author":"S Ansari","year":"2022","unstructured":"Ansari, S., Naghdy, F., Du, H., Pahnwar, Y.N.: Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network. IEEE Trans. Intell. Transp. Syst. 23, 10957\u201310969 (2022). https:\/\/doi.org\/10.1109\/TITS.2021.3098309.","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"19_CR14","unstructured":"NVIDIA PhysX SDK 3.4.0 Documentation, https:\/\/docs.nvidia.com\/gameworks\/content\/gameworkslibrary\/physx\/guide\/Manual\/Vehicles.html, Accessed 10 July 2024"},{"key":"19_CR15","doi-asserted-by":"publisher","first-page":"809","DOI":"10.3390\/electronics9050809","volume":"9","author":"J Hiller","year":"2020","unstructured":"Hiller, J., Koskinen, S., Berta, R., Osman, N., Nagy, B., Bellotti, F., Rahman, A., Svanberg, E., Weber, H., Arnold, E.H., Dianati, M., De Gloria, A.: The L3Pilot Data Management Toolchain for a Level 3 Vehicle Automation Pilot. Electronics. 9, 809 (2020). https:\/\/doi.org\/10.3390\/electronics9050809.","journal-title":"Electronics."}],"container-title":["Lecture Notes in Electrical Engineering","Applications in Electronics Pervading Industry, Environment and Society"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-84100-2_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T00:00:08Z","timestamp":1741392008000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-84100-2_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031840999","9783031841002"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-84100-2_19","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"value":"1876-1100","type":"print"},{"value":"1876-1119","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"8 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ApplePies","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applications in Electronics Pervading Industry, Environment and Society","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Turin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"applepies2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}