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An Analysis of Driver's Control Algorithm using Neural Network Modeling

机译:基于神经网络建模的驾驶员控制算法分析

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摘要

This research deals with an analysis of the driver's control algorithm as the first step of a modeling of driver. As driver's tasks are divided into two parts, one is for recognition of the environment around the vehicle, and The other is for the decision of the control output, such as steering torque, throttle and braking control, and so On. On the recognition part, the relative positioning method between driver and road shape is used with radar Sight description. On a decision of the control output, the neural network modeling is adopted.
机译:本研究将对驾驶员控制算法的分析作为驾驶员建模的第一步。由于驾驶员的任务分为两部分,一部分用于识别车辆周围的环境,另一部分用于确定控制输出,例如转向扭矩,油门和制动控制等。在识别部分,将驾驶员与道路形状之间的相对定位方法与雷达瞄准具描述结合使用。根据控制输出的决定,采用神经网络建模。

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