Monitoring the driver’s attention is an important task to maintain the driver’s safety. The estimation of the driver’s gaze direction can help us to evaluate if the drivers are not focusing their attention on the street. For an evaluation of this type, comparing the inside view and outside scenery of the vehicle is essential, therefore we decided to create a specific dataset for this task. In this work, we realize a machine-learning-oriented approach to driver’s attention evaluation using a coupled visual perception system. By analyzing the road and the driver’s gaze simultaneously it is possible to understand if the driver is looking at the traffic signs detected. We evaluate if a determined Region Of Interest (ROI) contains a road sign or not through YOLOv8.

Keeping Eyes on the Road: Understanding Driver Attention and Its Role in Safe Driving / Fiani, Francesca; Ponzi, Valerio; Russo, Samuele. - 3695:(2023), pp. 85-95. (Intervento presentato al convegno 9th Scholar's Yearly Symposium of Technology, Engineering and Mathematics, SYSTEM 2023 tenutosi a Roma; Italy).

Keeping Eyes on the Road: Understanding Driver Attention and Its Role in Safe Driving

Francesca Fiani
Co-primo
;
Valerio Ponzi
Co-primo
;
Samuele Russo
Co-primo
2023

Abstract

Monitoring the driver’s attention is an important task to maintain the driver’s safety. The estimation of the driver’s gaze direction can help us to evaluate if the drivers are not focusing their attention on the street. For an evaluation of this type, comparing the inside view and outside scenery of the vehicle is essential, therefore we decided to create a specific dataset for this task. In this work, we realize a machine-learning-oriented approach to driver’s attention evaluation using a coupled visual perception system. By analyzing the road and the driver’s gaze simultaneously it is possible to understand if the driver is looking at the traffic signs detected. We evaluate if a determined Region Of Interest (ROI) contains a road sign or not through YOLOv8.
2023
9th Scholar's Yearly Symposium of Technology, Engineering and Mathematics, SYSTEM 2023
Visual Attention Estimation; Machine Learning; Artificial Intelligence; ADAS (Autonomous Driver Assistance Systems); YOLO
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Keeping Eyes on the Road: Understanding Driver Attention and Its Role in Safe Driving / Fiani, Francesca; Ponzi, Valerio; Russo, Samuele. - 3695:(2023), pp. 85-95. (Intervento presentato al convegno 9th Scholar's Yearly Symposium of Technology, Engineering and Mathematics, SYSTEM 2023 tenutosi a Roma; Italy).
File allegati a questo prodotto
File Dimensione Formato  
Fiani_Keeping_2023.pdf

accesso aperto

Note: https://ceur-ws.org/Vol-3695/p11.pdf
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 5.38 MB
Formato Adobe PDF
5.38 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1715968
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact