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Errors in the detection and discrimination of vehicles: a simple optical model to explain driver and pedestrian misjudgements

机译:车辆检测和识别中的错误:用于解释驾驶员和行人错误判断的简单光学模型

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Failure to detect an oncoming vehicle, or misjudgement of the speed of that vehicle, are among the most common errors listed in road accident statistics. These errors are elevated for drivers in the 70+ age group, are more prevalent in accidents involving children and are also disproportionately high for collisions involving motorcycles. This talk will outline some principles of optical looming that result in some counter-intuitive effects, it will also briefly present empirical findings from simulator studies that support this model as an alternative to simple a??distractiona?? explanations of a??looked but failed to seea?? errors. The findings lead to proposals regarding inner city speed regulation, motorcycle headlight design, driver education and possibly the design of screening tests for older drivers.
机译:未能检测到迎面驶来的车辆或对车辆速度的错误判断是交通事故统计中列出的最常见错误。这些错误在70岁以上年龄段的驾驶员中升高,在涉及儿童的事故中更为普遍,在涉及摩托车的碰撞中也尤其严重。本演讲将概述导致某些反直觉效果的光学隐约性原理,还将简要介绍仿真器研究的经验发现,这些结果支持该模型作为简单的“分散注意力”的替代方法。看过但没看见的解释错误。研究结果提出了有关城市内部速度调节,摩托车前照灯设计,驾驶员教育以及可能的老年驾驶员筛查测试设计的建议。

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