2007
DOI: 10.1243/09596518jsce218
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A driver-distraction-based lane-keeping assistance system

Abstract: Single-vehicle roadway departure (SVRD) accidents occur in many cases owing to driver distraction or drowsiness constituting a substantial share of today's road vehicle accidents and casualties. This paper describes a distraction-based lane-keeping support system, which intervenes only when the driver is positively detected as being distracted. Distraction here is understood as cognitive and visual distraction, and the focus of this system is on the latter one. In order to estimate the driver's visual distract… Show more

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Cited by 82 publications
(51 citation statements)
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“…But to model the link between eye movement and visual & cognitive distraction is quite difficult, especially for the latter since the location of our fixation does not always reveal the target of our attention. J Pohl et al [50] modeled the visual distraction level as a time dependency of the visual focus, with the assumption that the visual distraction level is non-linear: visual distraction increases with time but decreases nearly instantaneously. They established their algorithm for visual distraction: first there is a distraction calculation to compute the instantaneous distraction level, second there is a distraction decision-maker to determine if the current distraction level represents a potentially distracted driver.…”
Section: Model the Link Between Beraviour And Attentionmentioning
confidence: 99%
“…But to model the link between eye movement and visual & cognitive distraction is quite difficult, especially for the latter since the location of our fixation does not always reveal the target of our attention. J Pohl et al [50] modeled the visual distraction level as a time dependency of the visual focus, with the assumption that the visual distraction level is non-linear: visual distraction increases with time but decreases nearly instantaneously. They established their algorithm for visual distraction: first there is a distraction calculation to compute the instantaneous distraction level, second there is a distraction decision-maker to determine if the current distraction level represents a potentially distracted driver.…”
Section: Model the Link Between Beraviour And Attentionmentioning
confidence: 99%
“…The vehicle model described by (2)(3)(4)(5), with the parameters given in Table 1 was used in the receding horizon controller. Controller parameters are defined and quantified in Table 2.…”
Section: A Setupmentioning
confidence: 99%
“…Among existing proposals for semi-autonomous vehicle navigation, lane-keeping systems using audible warnings [4], haptic alerts [5], steering torque overlays [6], and various combinations of these have been developed with mixed results [7]. In a recent subproject of the European PReVENT consortium, a lane-keeping system was designed to prevent lane departure by perceiving the environment, making heuristic-based trajectory planning decisions based on perceived threat, and implementing warning mechanisms or slight steering torque overlay when the vehicle drifts from the desired trajectory [8].…”
Section: Introductionmentioning
confidence: 99%
“…To reduce fuel consumption and exhaust emission, a variety of clean energy vehicle technologies have been widely studied: pure electric vehicles [1], hybrid electric vehicles [2], plug-in hybrid vehicles [3], fuel cell vehicles [4] and alternative fuel vehicles [5]. In-depth study to improve safety performance of ICE vehicles has focused on active safety technology and intelligent safety technology, such as Anti-Brake System (ABS) [6], Electronic Stability Program (ESP) [7], Global Chassis Control (GCC) [8], Adaptive Cruise Control (ACC) [9], and Lane Keeping System (LKS) [10]. Integration of active safety technologies in clean energy vehicles have become increasingly important [11], as illustrated by the application of the ABS [12], TCS [13] and ESC [14] in pure electric or hybrid electric vehicles.…”
Section: Introductionmentioning
confidence: 99%