基于立体视觉的室内移动机器人距离估计应用

S. Solak, Emine Dogru Bolat
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引用次数: 19

摘要

实时准确地估计机器人与物体之间的距离或两个不同物体之间的距离对机器人的应用至关重要。各种传感器,如激光,声纳或相机已用于这一过程。在一些文献研究中,将两种传感器作为照相机和激光器一起使用。基于摄像机的研究提出了使用单摄像机或双摄像机的不同方法。在本研究中,摄像机与彩色物体(本研究中接受红色物体)之间的距离以像素和厘米为单位计算,两台摄像机位于同一轴上。在本研究中,首先对左右摄像头拍摄的图像进行预处理。然后,确定环境中的对象。最后一个过程是估计所需的距离。在实验研究中进行了150次测量,包括60厘米到140厘米之间的距离,准确度超过90%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distance estimation using stereo vision for indoor mobile robot applications
Real time and accurate estimation of the distance between the robot and the object or the distance between two different objects is critical for robot applications. Various sensors as laser, sonar or camera have been used for this process. Two sensors as a camera and laser are employed together in some studies in literature. Camera based studies propose different methods using single camera or two cameras. In this study, the distance between the cameras and the colored object (red colored object is accepted in this study) is calculated in pixels and cm using two cameras situated in the same axis. In this proposed study, the images taken from the left and right cameras are preprocessed first. Then, the objects in the environment are determined. The last process is to estimate the required distance. 150 measurements, including distances between 60 cm and 140 cm, are performed in the experimental studies and an accuracy success over %90 is achieved.
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