一种基于投影仪和摄像机的障碍物检测方法的提出

Hayato Mizuno, Shiyuan Yang, S. Serikawa
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引用次数: 1

摘要

近年来,日本在引进商业和服务机器人方面取得了进展,无人运输机器人的数量不断增加。因此,我将重点研究障碍物检测,这是自动引导车辆不可或缺的功能。传统的障碍物检测方法包括超声波传感器、PSD传感器和2D-LIDAR,但它们存在测量范围窄、易受干扰影响、机械寿命长等缺点。因此,作为先前的研究,我们实验室一直在开发一种使用线激光和相机的障碍物检测系统,以改善这些缺点。该方法采用直线激光以水平线照射机器人前方的地板表面,通过水平线的变化来检测障碍物。该方法改善了传统方法的缺点,能够检测到寿命长且不易受大面积干扰影响的障碍物。然而,也有缺点,例如只能检测激光直线上的障碍物,并且只能检测到部分障碍物。因此,为了改进传统方法的不足和以往研究的不足,我提出了一种使用投影仪和摄像机的障碍物检测系统。该方法是一种由投影仪用多条垂直线和水平线照射机器人前方地板表面的系统,并通过这些直线的特征变化来检测障碍物。在本研究中,我们进行了三个实验来验证本研究与以往研究相比的优越性。实验结果证实,本研究改进了传统方法和前人研究的不足。
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Proposal of a Method to Detect Obstacle Using Projector and Camera
In recent years, the introduction of business and service robots has progressed in Japan, and the number of unmanned transfer robots is increasing. Therefore, I will focus on obstacle detection, which is an indispensable function for automated guided vehicles. Conventional methods for detecting obstacles include ultrasonic sensors, PSD sensors, and 2D-LIDAR, but they have disadvantages such as a narrow measurement range, being easily affected by disturbances, and having a long mechanical life. Therefore, as a previous research, our laboratory has been developing an obstacle detection system using a line laser and a camera in order to improve these disadvantages. In this method, a line laser is used to irradiate the floor surface in front of the robot with a horizontal line, and obstacles are detected from changes in the horizontal line. This method improves the disadvantages of the conventional method and enables the detection of obstacles with a long life that is not easily affected by disturbances over a wide area. However, there are disadvantages such as being able to detect only obstacles on the straight line of the laser and being able to detect only part of the obstacles. Therefore, I propose an obstacle detection system using a projector and a camera for the purpose of improving the disadvantages of the conventional method and the disadvantages of previous research. This method is a system in which a projector irradiates the floor surface in front of the robot with multiple vertical and horizontal lines and detects obstacles from the characteristic changes in the lines. In this study, we conducted three experiments to verify the superiority of this study when compared with the previous studies. As a result of the experiment, it was confirmed that this study improved the disadvantages of the conventional method and the previous study.
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