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A Development of a Line-Trace Car with Fuzzy Control of Motor Signals and Performance Evaluation

机译:具有电机信号模糊控制和性能评估的线迹车的开发

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Automotive driving technologies have attracted to solve the social problems, such as road congestion and car accidents, due to the recent evolution of motorization. This paper focuses on Advanced Driver Assistance System (ADAS), which aims to improve traffic safety. Typical ADAS uses in-vehicle cameras to recognize a driving situation. We developed a line-trace car to simulate an automated driving system. The line-trace car contains a line-scan camera and four reflective photo sensors. The running behavior is controlled by the outputs of the photosensors with fuzzy control, and the line-scan camera observes a driving situation. In the experiment, we followed the course regulations of Japan Micom Car Rally, and the running performance was measured by the image captured by the line-scan camera and the sensor outputs. The observed running behavior was smooth when driving corners and straights of the course, the line-scan camera captured a blurred image due to the lighting condition.
机译:由于近来机动化的发展,汽车驾驶技术吸引了解决诸如道路拥挤和交通事故的社会问题。本文重点介绍旨在改善交通安全的高级驾驶员辅助系统(ADAS)。典型的ADAS使用车载摄像机来识别驾驶情况。我们开发了一种直线跟踪车来模拟自动驾驶系统。线条追踪车包含一个线条扫描相机和四个反射式光电传感器。行驶行为由带有模糊控制的光电传感器的输出控制,并且线扫描相机观察行驶情况。在实验中,我们遵循了日本Micom汽车拉力赛的路线规则,并通过线扫描相机捕获的图像和传感器输出来测量行驶性能。当驾驶弯道和弯道时,观察到的行驶行为是平稳的,由于光线条件,线扫描相机捕获到模糊的图像。

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