Roll rate thresholds in driving simulation

A. Nesti, M. Barnett-Cowan, H. Bülthoff, P. Pretto
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引用次数: 5

Abstract

The restricted operational space of dynamic driving simulators requires the implementation of motion cueing algorithms that tilt the simulator cabin to reproduce sustained accelerations. In order to avoid conflicting inertial cues, the tilt rate is limited below drivers’ perceptual thresholds, which are typically derived from the results of classical vestibular research, where additional sensory cues to self-motion are removed. These limits might be too conservative for an ecological driving simulation, which provides a variety of complex visual and vestibular cues as well as demands of attention which vary with task difficulty. We measured roll rate detection threshold in active driving simulation, where visual and vestibular stimuli are provided as well as increased cognitive load from the driving task. Here thresholds during active driving are compared with tilt rate detection thresholds found in the literature (passive thresholds) to assess the effect of the driving task. In a second experiment, these thresholds (active versus passive) are related to driving preferences in a slalom driving course in order to determine which roll rate values are most appropriate for driving simulators so as to present the most realistic driving experience. The results show that detection threshold for roll in an active driving task is significantly higher than the limits currently used in motion cueing algorithms, suggesting that higher tilt limits can be successfully implemented to better optimize simulator operational space. Supra-threshold roll rates in the slalom task are also rated as more realistic. Overall, our findings indicate that increasing task complexity in driving simulation can decrease motion sensitivity allowing for further expansion of the virtual workspace environment.
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驾驶仿真中的滚转率阈值
动态驾驶模拟器的操作空间有限,需要实现运动提示算法,使模拟器座舱倾斜以再现持续的加速度。为了避免冲突的惯性提示,倾斜率被限制在驾驶员的感知阈值以下,这通常来自经典前庭研究的结果,其中额外的自我运动感官提示被删除。对于生态驾驶模拟来说,这些限制可能过于保守,因为生态驾驶模拟提供了各种复杂的视觉和前庭线索,以及随着任务难度而变化的注意力需求。我们在主动驾驶模拟中测量了滚动率检测阈值,其中提供了视觉和前庭刺激以及驾驶任务增加的认知负荷。本文将主动驾驶时的阈值与文献中发现的倾斜率检测阈值(被动阈值)进行比较,以评估驾驶任务的影响。在第二个实验中,这些阈值(主动与被动)与障碍驾驶课程中的驾驶偏好相关,以确定驾驶模拟器最适合哪种侧滚率值,从而呈现最真实的驾驶体验。结果表明,主动驾驶任务中侧倾的检测阈值明显高于当前运动提示算法中使用的阈值,这表明更高的倾斜阈值可以成功实现,以更好地优化模拟器的操作空间。在障碍回转任务中,超阈值滚动率也被评为更现实。总的来说,我们的研究结果表明,在驾驶模拟中增加任务复杂性可以降低运动灵敏度,从而进一步扩展虚拟工作环境。
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Seeing and Perceiving
Seeing and Perceiving BIOPHYSICS-PSYCHOLOGY
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