2005
DOI: 10.3141/1937-06
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Eye Glance Behavior of Van and Passenger Car Drivers During Lane Change Decision Phase

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Cited by 40 publications
(28 citation statements)
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“…In 2005, Louis Tijerina of the United States researched the truck and car drivers view characteristics in the lane change decision-making process [4].…”
Section: Introductionmentioning
confidence: 99%
“…In 2005, Louis Tijerina of the United States researched the truck and car drivers view characteristics in the lane change decision-making process [4].…”
Section: Introductionmentioning
confidence: 99%
“…These features do not seem to directly indicate higher level of threat which was presented by the “direct look” of the person, because the shortening of the assessment duration ( response time ) was the same for the high-threat responses (fly away) and for the low-threat responses (remain) by prey. Gaze, face and head, as well as their movements, contain important clues that may allow to predict the actions of the subject [44]–[47], suggesting that they may also provide crucial information to the prey about the predator’s future actions. Hence, our results suggest that the effect of direct gaze (looking at the prey) of the predator on the behavior of the prey may extend beyond the classical issue of indicating the threat level [37]–[43]: the direct look from the predator may cause a general increase in information transmitted from the predator to the prey about the predator’s future actions.…”
Section: Discussionmentioning
confidence: 99%
“…For example, prey seem to treat the direct gaze or direct “looking” of the predators as an indicator of higher predation risk [37]–[43]. However, it has been documented that gaze, face and head, as well as their movements, may also contain important clues that may allow humans or computer algorithms to predict the actions of the subject [44]–[47] regardless of how threatening the action may be. These findings suggest that gaze and face may provide crucial information to the prey about predator’s future actions.…”
Section: Introductionmentioning
confidence: 99%
“…When the predicted vehicle gets to the lane change point, the accuracy increases up to 95%. According to related researches [29], the lane changing time on highway is generally between 3.5 and 6.5 s, and an average implementation of a complete lane change process is 5 s. Assume that the time before and after lane change point both take 2.5 s, that means our model can make a pre-judgment almost before the drivers start to change the lane. It is because the information fed to the model includes the states of the predicted vehicle and its surroundings, so the model can 'observe' the scenario from the perspective of the predicted vehicle and makes reasonable prediction.…”
Section: Evaluation For Intention Predictionmentioning
confidence: 99%