Artificial Intelligence Based Algorithms for Driver Distraction Detection: A Review

B. V. Kumar, K. K. Srinivas, P. Anudeep, N. Yadav, G. Kumar, P. A. Harsha Vardhini
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引用次数: 5

Abstract

World Health Organization gave a report global road safety. Road accidents have turned to be more dangerous and they became the eighth most important reason for death. Out of this one fifth of them are caused due to the negligence of the driver. We discuss about the different types of algorithms which are more efficient based on the features that are detected by the algorithms. Comparison of algorithms is done to know the algorithms which work well for the specific set features detection. In driver distraction, there are many features like pupil diameter, hands location, head location etc., which are needed to be detected and predict the type of distraction. Each algorithm uses different kind of Artificial Intelligence models and does the predictions based on the features.
基于人工智能的驾驶员分心检测算法综述
世界卫生组织发布了一份全球道路安全报告。道路交通事故变得更加危险,成为第八大死亡原因。其中五分之一是由于司机的疏忽造成的。我们根据算法检测到的特征讨论了不同类型的更高效的算法。通过对算法的比较,了解哪些算法更适合特定集特征的检测。驾驶员注意力分散时,需要检测瞳孔直径、手的位置、头部的位置等特征,并对注意力分散类型进行预测。每种算法都使用不同类型的人工智能模型,并根据特征进行预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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