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Floor Sensing System Using Laser Reflectivity for Localizing Everyday Objects and Robot

机译:利用激光反射率定位日常物体和机器人的地板感应系统

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This paper describes a new method of measuring the position of everyday objects and a robot on the floor using distance and reflectance acquired by laser range finder (LRF). The information obtained by this method is important for a service robot working in a human daily life environment. Our method uses only one LRF together with a mirror installed on the wall. Moreover, since the area of sensing is limited to a LRF scanning plane parallel to the floor and just a few centimeters above the floor, the scanning covers the whole room with minimal invasion of privacy of a resident, and occlusion problem is mitigated by using mirror. We use the reflection intensity and position information obtained from the target surface. Although it is not possible to identify all objects by additionally using reflection values, it would be easier to identify unknown objects if we can eliminate easily identifiable objects by reflectance. In addition, we propose a method for measuring the robot's pose using the tag which has the encoded reflection pattern optically identified by the LRF. Our experimental results validate the effectiveness of the proposed method.
机译:本文介绍了一种利用激光测距仪(LRF)获得的距离和反射率来测量日常物体和地板上机器人的位置的新方法。通过这种方法获得的信息对于在人类日常生活环境中工作的服务机器人非常重要。我们的方法仅使用一个LRF以及安装在墙上的镜子。此外,由于感应区域仅限于平行于地板且仅在地板上方几厘米的LRF扫描平面,因此扫描可覆盖整个房间,而对居民的隐私造成的侵害最小,并且通过使用镜子可以缓解遮挡问题。我们使用从目标表面获得的反射强度和位置信息。尽管不可能通过额外使用反射值来识别所有对象,但是如果我们可以通过反射来消除容易识别的对象,则将更容易识别未知对象。另外,我们提出了一种使用标签测量机器人姿势的方法,该标签具有由LRF光学识别的编码反射图案。我们的实验结果验证了该方法的有效性。

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