Driver action monitoring based on convolutional neural network algorithms

P. Burankina, V. Dementyev, A. A. Sergeev
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Abstract

The paper substantiates the relevance of the task of monitoring the driver's actions, formulates the requirements for the implementation of such monitoring and proposes two variants of its implementation based on the use of a high-performance platform with built-in discrete graphics card and an ordinary cell phone. The obtained quantitative performance characteristics allow us to conclude about the practical possibility of solving the problem of recognition of the driver's actions in real time, including on low-performance platforms.
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基于卷积神经网络算法的驾驶员动作监测
本文论证了监控驾驶员行为任务的相关性,提出了监控的实现要求,并提出了基于内置独立显卡的高性能平台和普通手机的两种实现方案。所获得的定量性能特征使我们能够总结出解决实时识别驾驶员行为问题的实际可能性,包括在低性能平台上。
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