Correlating driver gaze with the road scene for driver assistance systems

Luke Fletcher; Gareth Loy; Nick Barnes; Alexander Zelinsky

doi:10.1016/j.robot.2005.03.010

Correlating driver gaze with the road scene for driver assistance systems

Luke Fletcher, Gareth Loy, Nick Barnes, Alexander Zelinsky

Research output: Contribution to journal › Conference article › peer-review

69 Citations (Scopus)

Abstract

A driver assistance system (DAS) should support the driver by monitoring road and vehicle events and presenting relevant and timely information to the driver. It is impossible to know what a driver is thinking, but we can monitor the driver's gaze direction and compare it with the position of information in the driver's viewfield to make inferences. In this way, not only do we monitor the driver's actions, we monitor the driver's observations as well. In this paper we present the automated detection and recognition of road signs, combined with the monitoring of the driver's response. We present a complete system that reads speed signs in real-time, compares the driver's gaze, and provides immediate feedback if it appears the sign has been missed by the driver.

Original language	English
Pages (from-to)	71-84
Number of pages	14
Journal	Robotics and Autonomous Systems
Volume	52
Issue number	1
DOIs	https://doi.org/10.1016/j.robot.2005.03.010
Publication status	Published - 31 Jul 2005

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10.1016/j.robot.2005.03.010

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title = "Correlating driver gaze with the road scene for driver assistance systems",

abstract = "A driver assistance system (DAS) should support the driver by monitoring road and vehicle events and presenting relevant and timely information to the driver. It is impossible to know what a driver is thinking, but we can monitor the driver's gaze direction and compare it with the position of information in the driver's viewfield to make inferences. In this way, not only do we monitor the driver's actions, we monitor the driver's observations as well. In this paper we present the automated detection and recognition of road signs, combined with the monitoring of the driver's response. We present a complete system that reads speed signs in real-time, compares the driver's gaze, and provides immediate feedback if it appears the sign has been missed by the driver.",

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AU - Barnes, Nick

AU - Zelinsky, Alexander

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N2 - A driver assistance system (DAS) should support the driver by monitoring road and vehicle events and presenting relevant and timely information to the driver. It is impossible to know what a driver is thinking, but we can monitor the driver's gaze direction and compare it with the position of information in the driver's viewfield to make inferences. In this way, not only do we monitor the driver's actions, we monitor the driver's observations as well. In this paper we present the automated detection and recognition of road signs, combined with the monitoring of the driver's response. We present a complete system that reads speed signs in real-time, compares the driver's gaze, and provides immediate feedback if it appears the sign has been missed by the driver.

AB - A driver assistance system (DAS) should support the driver by monitoring road and vehicle events and presenting relevant and timely information to the driver. It is impossible to know what a driver is thinking, but we can monitor the driver's gaze direction and compare it with the position of information in the driver's viewfield to make inferences. In this way, not only do we monitor the driver's actions, we monitor the driver's observations as well. In this paper we present the automated detection and recognition of road signs, combined with the monitoring of the driver's response. We present a complete system that reads speed signs in real-time, compares the driver's gaze, and provides immediate feedback if it appears the sign has been missed by the driver.

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KW - Sign detection

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Correlating driver gaze with the road scene for driver assistance systems

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