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首页> 外文期刊>Journal of Mechatronics, Electrical Power, and Vehicular Technology >Experimental review of distance sensors for indoor mapping
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Experimental review of distance sensors for indoor mapping

机译:室内测绘距离传感器的实验综述

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One of the most important required ability of a mobile robot is perception. An autonomous mobile robot has to be able to gather information from the environment and use it for supporting the accomplishing task. One kind of sensor that essential for this process is distance sensor. This sensor can be used for obtaining the distance of any objects surrounding the robot and utilize the information for localizing, mapping, avoiding obstacles or collisions and many others. In this paper, some of the distance sensor, including Kinect, Hokuyo UTM-30LX, and RPLidar were observed experimentally. Strengths and weaknesses of each sensor were reviewed so that it can be used as a reference for selecting a suitable sensor for any particular application. A software application has been developed in C programming language as a platform for gathering information for all tested sensors. According to the experiment results, it showed that Hokuyo UTM-30LX results in random normally distributed error on measuring distance with average error 21.94 mm and variance 32.11. On the other hand, error measurement resulted by Kinect and RPLidar strongly depended on measured distance of the object from the sensors, while measurement error resulted by Kinect had a negative correlation with the measured distance and the error resulted by RPLidar sensor had a positive correlation with the measured distance. The performance of these three sensors for detecting a transparent object shows that the Kinect sensors can detect the transparent object on its effective range measurement, Hokuyo UTM-30LX can detect the transparent object in the distance more than equal to 200 mm, and the RPLidar sensor cannot detect the transparent object at all tested distance. Lastly, the experiment shows that the Hokuyo UTM-30LX has the fastest processing time significantly, and the RPLidar has the slowest processing time significantly, while the processing time of Kinect sensor was in between. These processing times were not significantly affected by various tested distance measurement.
机译:移动机器人最重要的一项要求就是感知。自主移动机器人必须能够从环境中收集信息并将其用于支持完成任务。对于此过程必不可少的一种传感器是距离传感器。该传感器可用于获取机器人周围任何物体的距离,并利用该信息进行定位,地图绘制,避免障碍物或碰撞等。本文通过实验观察了一些距离传感器,包括Kinect,Hokuyo UTM-30LX和RPLidar。审查了每个传感器的优缺点,以便可以将其用作选择适合任何特定应用的传感器的参考。已经使用C编程语言开发了一个软件应用程序,作为一个平台,可为所有经过测试的传感器收集信息。根据实验结果,Hokuyo UTM-30LX在测量距离上导致随机正态分布误差,平均误差为21.94 mm,方差为32.11。另一方面,Kinect和RPLidar导致的误差测量很大程度上取决于物体到传感器的测量距离,而Kinect导致的测量误差与测量距离成负相关,而RPLidar传感器导致的误差与测量距离成正相关。测量的距离。这三个用于检测透明物体的传感器的性能表明,Kinect传感器可以在其有效范围测量中检测到透明物体,Hokuyo UTM-30LX可以在大于200 mm的距离内检测到透明物体,而RPLidar传感器无法在所有测试距离都检测到透明物体。最后,实验表明,Hokuyo UTM-30LX的处理时间明显最快,而RPLidar的处理时间却最慢,而Kinect传感器的处理时间介于两者之间。这些处理时间不受各种测试距离测量的影响很大。

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