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超越跟踪视线范围——模拟器环境下周边可用视野的评估

Beyond the tracked line of sight - Evaluation of the peripheral usable field of view in a simulator setting.

作者信息

Bickerdt Jan, Wendland Hannes, Geisler David, Sonnenberg Jan, Kasneci Enkelejda

机构信息

Volkswagen AG, Wolfsburg, Germany.

Audi AG, Ingolstadt, Germany.

出版信息

J Eye Mov Res. 2021 Apr 26;12(3). doi: 10.16910/jemr.12.3.9.

Abstract

Combining advanced gaze tracking systems with the latest vehicle environment sensors opens up new fields of applications for driver assistance. Gaze tracking enables researchers to determine the location of a fixation, and under consideration of the visual saliency of the scene, to predict visual perception of objects. The perceptual limits, for stimulus identification, found in literature have mostly been determined in laboratory conditions using isolated stimuli, with a fixed gaze point, on a single screen with limited coverage of the field of view. The found limits are usually reported as hard limits. Such commonly used limits are therefore not applicable to settings with a wide field of view, natural viewing behavior and multi-stimuli. As handling of sudden, potentially critical driving maneuvers heavily relies on peripheral vision, the peripheral limits for feature perception need to be included in the determined perceptual limits. To analyze the human visual perception of different, simultaneously occurring, object changes (shape, color, movement) we conducted a study with 50 participants, in a driving simulator and we propose a novel way to determine perceptual limits, which is more applicable to driving scenarios.

摘要

将先进的视线跟踪系统与最新的车辆环境传感器相结合,为驾驶员辅助开辟了新的应用领域。视线跟踪使研究人员能够确定注视点的位置,并在考虑场景视觉显著性的情况下,预测对物体的视觉感知。文献中发现的用于刺激识别的感知极限大多是在实验室条件下,使用孤立的刺激、固定的注视点、在单个屏幕上且视野覆盖有限的情况下确定的。所发现的极限通常被报告为硬性极限。因此,这种常用的极限不适用于具有宽视野、自然观看行为和多刺激的场景。由于对突然的、潜在关键的驾驶操作的处理严重依赖于周边视觉,因此在确定的感知极限中需要包括特征感知的周边极限。为了分析人类对不同的、同时发生的物体变化(形状、颜色、运动)的视觉感知,我们在驾驶模拟器中对50名参与者进行了一项研究,并提出了一种更适用于驾驶场景的确定感知极限的新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4170/8183303/3f26a8fa305c/jemr-12-03-i-figure-01.jpg

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