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HSV Based Robot Boat Navigation System

机译:基于HSV的机器人船导航系统

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摘要

Autonomous robot has attracted many researchers to develop because of its intelligent and capability to perform task without explicit human control. One of the main indicators of autonomous robot is navigation system that is embedded in robot’s intelligent system. This research present design of unmanned robot boat which its entirely system runs autonomously with raspberry pi as control and navigation system. Raspberry pi is used to the process of image processing in detecting the boat track using camera based on HSV filter method. This method detects the boat track based on the basic color, brightness color level, and color strength of the detected track so the track detection result is more accurate. The running test of boat robot shows that the parameters of HSV method which is applicable with characteristic of red color object detection are with threshold value “hue” 137-179, “saturation” 147-255, and “value” 80-255, therefore it can be concluded that using HSV filter as method of image processing are responsive and representative in adjusting the navigation of robot boat automatically.
机译:自治机器人吸引了许多研究人员,因为它的智能和能力在没有明确人体控制的情况下执行任务。自主机器人的主要指标之一是嵌入机器人智能系统中的导航系统。这项研究现有设计设计了无人机机器人,其全部系统与覆盆子PI自主运行作为控制和导航系统。基于HSV滤波法使用摄像机检测船轨的图像处理过程中的过程处理。该方法根据检测到的轨道的基本颜色,亮度颜色等级和色强度检测船轨道,以便轨道检测结果更准确。船机器人的运行试验表明,适用于红颜色对象检测特性的HSV方法的参数具有阈值“色调”137-179,“饱和”147-255和“值”80-255,因此可以得出结论,使用HSV滤波器作为图像处理方法是响应性的,并且代表在自动调整机器人船的导航时。

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