Young Driver Gaze (YDGaze): Dataset for driver gaze analysis
dc.authorscopusid | 57203889403 | en_US |
dc.authorscopusid | 57189887324 | en_US |
dc.authorscopusid | 26657906000 | en_US |
dc.contributor.author | Ceven, S. | |
dc.contributor.author | Albayrak, A. | |
dc.contributor.author | Bayir, R. | |
dc.date.accessioned | 2024-08-23T16:07:33Z | |
dc.date.available | 2024-08-23T16:07:33Z | |
dc.date.issued | 2022 | en_US |
dc.department | Düzce Üniversitesi | en_US |
dc.description | 2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022 -- 29 December 2022 through 30 December 2022 -- Istanbul -- 188710 | en_US |
dc.description.abstract | One of the most important factors in ensuring successful and safe driving in the road traffic network is the driver's sense of sight. The driver can determine the environmental factors in the traffic with his gaze and can predict the next move after evaluating it with the current driving position. In this process, the focus of the driver's gaze should be on the area to which the vehicle is heading. Driver eye movements and gaze analysis is a topic that has been intensively studied in recent years in 'Intelligent Driver Assistance Systems'. In this study, a data set was prepared with a group of 40 participants between the ages of 18-28 in order to determine which points the driver looked at while driving. The dataset was created by having each participant look at the labeled areas on the vehicle in turn for one minute. Experimental studies lasted approximately 11 days. Approximately 350 hours of work was carried out to prepare the obtained data set. © 2022 IEEE. | en_US |
dc.description.sponsorship | Karabük Üniversitesi, (KBÜBAP-22-DR-015) | en_US |
dc.identifier.doi | 10.1109/ICAIoT57170.2022.10121856 | |
dc.identifier.isbn | 979-835039676-8 | en_US |
dc.identifier.scopus | 2-s2.0-85160525896 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.uri | https://doi.org/10.1109/ICAIoT57170.2022.10121856 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12684/14725 | |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | Proceedings - 2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | driver skill | en_US |
dc.subject | gaze detection | en_US |
dc.subject | traffic safety | en_US |
dc.subject | young driver | en_US |
dc.subject | Eye movements | en_US |
dc.subject | Current driving | en_US |
dc.subject | Data set | en_US |
dc.subject | Driver skill | en_US |
dc.subject | Environmental factors | en_US |
dc.subject | Gaze analysis | en_US |
dc.subject | Gaze detection | en_US |
dc.subject | Road traffic network | en_US |
dc.subject | Safe driving | en_US |
dc.subject | Traffic safety | en_US |
dc.subject | Young driver | en_US |
dc.subject | Automobile drivers | en_US |
dc.title | Young Driver Gaze (YDGaze): Dataset for driver gaze analysis | en_US |
dc.type | Conference Object | en_US |