Optic flow and geometric field of view in a driving simulator display

Mourant, Ronald R.; Ahmad, Najla; Jaeger, Beverly; Lin, Yingzi

doi:10.1016/j.displa.2007.04.011

Cited by 25 publications

(23 citation statements)

References 9 publications

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“…Mourat et al [20] showed that the field of view in the driving simulator has an immense influence on test subjects' estimation of speed. Other studies, [21][22][23], all came to the same result.…”

Section: State Of the Artmentioning

confidence: 99%

Teleoperated Road Vehicles: A Novel Study on the Effect of Blur on Speed Perception

Tang

Kurkowski

Lienkamp

2013

International Journal of Advanced Robotic Systems

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The future mobility of urban areas is changing constantly; ideally, vehicles should be able to drive autonomously through traffic. Unfortunately, autonomous vehicles are not yet fully capable of matching human performance. Therefore, the teleoperation of vehicles presents a solution for this task. During teleoperation, a human driver is responsible for driving the vehicle using information transmitted from the vehicle to a working station. Unfortunately, because of the artificial environment in which the operator is located, it is very difficult to achieve high telepresence and accurate speed estimation. It is known that in order to safely drive a vehicle, it is very important to be able to correctly estimate the vehicle's speed. This paper presents a study conducted to quantify the speed perception tendency of a human operator at the working station. Additionally, it is shown that a training process can at least temporarily improve speed perception. Furthermore, the implementation of zoom blur to increase optical flow is shown to positively influence speed perception. Four hypotheses are defined and analysed to study speed perception at an operator's working station. The results are presented and discussed.

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Section: State Of the Artmentioning

confidence: 99%

Teleoperated Road Vehicles: A Novel Study on the Effect of Blur on Speed Perception

Tang

Kurkowski

Lienkamp

2013

International Journal of Advanced Robotic Systems

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“…We may explain this by the fact that all the different sensory cues involved in the evaluation of speed are not always rendered in these systems. In driving simulators for example, the lack of car vibrations rendering or a small field of view could lead to a wrong perception of speed: speed overproductions are then observed (Mourant et al, 2007). Unfortunately in this case, driver's behavior can be affected in tasks like cornering or emergency braking.…”

Section: Introductionmentioning

confidence: 99%

“…To solve this problem, (Diels & Parkes, 2009) have developed a technique based on the results of (Mourant et al, 2007). They change the geometric field of view (GFOV) i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Geometric field of view and perceived speed (Mourant et al, 2007) studied the influence of the geometric field of view on speed perception. In their experiment, they asked subjects to produce certain speeds (30 and 60 mph) on a static driving simulator with a 45 deg curved screen and with different geometric field of view conditions (25, 55 and 85 deg).…”

Section: Introductionmentioning

confidence: 99%

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Visual Scale Factor for Speed Perception

Colombet

Paillot

Merienne

et al. 2011

Journal of Computing and Information Science in Engineering

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Speed perception is an important task depending mainly on optic flow that the driver must perform continuously to control his/her vehicle. Unfortunately, it appears that in some driving simulators speed perception is under estimated, leading into speed production higher than in real conditions. Perceptual validity is then not good enough to study driver’s behavior. To solve this problem, a technique has recently seen the light, which consists of modifying the geometric field of view (GFOV) while keeping the real field of view (FOV) constant. We define our visual scale factor as the ratio between the GFOV and the FOV. The present study has been carried out on the SAAM dynamic driving simulator and aims at determining the precise effect of this visual scale factor on the speed perception. Twenty subjects have reproduced two speeds (50 and 90 km/h) without knowing the numerical values of these consigns, with five different visual scale factors: 0.70, 0.85, 1.00, 1.15, and 1.30. We show that speed perception significantly increases when the visual factor increases. A 0.15 modification of this factor is enough to obtain a significant effect. Furthermore, the relative variation of the speed perception is proportional to the visual scale factor. Besides, the modification of the geometric field of view remained unnoticed by all the subjects, which implies that this technique can be easily used to make drivers to reduce their speed in driving simulation conditions. However, this technique may also modify perception of distances.

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“…Increasing the geometric field of field (GFOV) while holding the projected field of view (PFOV) constant has been shown to increase users' perceived speed (Adetiloye, Wu, & Mourant, 2005;Mourant et al, 2007;Diels & Parkes, 2009 Mourant et al, 2007), selected speeds decreased with increases in the GFOV/PFOV ratio. Participants tended to underestimate their speeds at lower GFOV/PFOV ratios and overestimate their speeds at higher GFOV/PFOV ratios.…”

Section: Introductionmentioning

confidence: 99%