车辆驾驶辅助系统路径规划设计

Ping‐Jui Hsieh, Guan-Yan Chen, I-Chieh Chiang, J. Perng
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引用次数: 2

摘要

近年来,配备多路驾驶辅助系统的全新车辆越来越受欢迎。因此,我们提出了一种多车驾驶辅助系统的路径规划设计,使车辆能够根据不同路段自行调整速度和行驶方向。整个系统可分为两层,一层是决策层,另一层是控制层。决策层需要高精度实时运动差分定位系统建立参考路线。然后,将参考路线分为弯曲段和直线段。然后通过运动学方程和参考路线的位置节点得到所需的速度和转角。在控制层,由模糊逻辑控制器驱动油门、制动桨和方向盘等执行器,使决策层达到所需的速度和转向角。整个系统以电动高尔夫球车为测试平台实现。实验结果表明,该系统将运动学和人的经验相结合,实现了上述功能。
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Path Planning Design for Vehicle Driving Assist Systems
In recent years, brand new vehicles equipped with muti-driving assist systems have been more and more popular. As a result, we propose a path planning design for muti-vehicle driving assist systems that enable vehicle adjust speed and traveling direction according to different road sections by itself. The overall system can be divided into two layers, one is decision layer and the other is control layer. In decision layer, reference route which built by high accuracy real time kinematic differential positioning system is necessary. Then, reference route would be separated into bending and straight sections. After that, desired speed and steering angle can be obtained by kinematics equations and position node of reference route. In control layer, actuators, such as throttle, braking paddle, and steering wheel, are driven by fuzzy logic controller to reach desired speed and steering angle from decision layer. The overall system is implemented on an electric golf car which as a testing platform. The experimental results show that the proposed system integrates kinematic and human experience to fulfill above functions.
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