一个鼠标传感器和一个2像素的运动传感器暴露在连续的光照变化中

F. Expert, S. Viollet, F. Ruffier
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引用次数: 9

摘要

在过去的十年中,基于视觉光流线索的导航系统得到了相当大的关注,特别是用于引导设计在特定照明条件下行驶的自主机器人。在本研究中,两种用于测量局部一维角速度的视觉运动传感器,即(i)仿生2像素运动传感器和(ii)现成的鼠标传感器,首次在大范围的照度水平下进行了测试。通过记录传感器对机械旋转产生的纯旋转光流的响应,并将其响应与精确的速率陀螺仪输出信号进行比较,确定了传感器的特性。作为未来基于光流的机器人应用的关键参数,刷新率也在这两个传感器上进行了定义和测试。仿生2像素运动传感器被发现在室内更准确,而鼠标传感器被发现在室外更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A mouse sensor and a 2-pixel motion sensor exposed to continuous illuminance changes
Considerable attention has been paid during the last decade to navigation systems based on the use of visual optic flow cues, especially for guiding autonomous robots designed to travel under specific lighting conditions. In the present study, the performances of two visual motion sensors used to measure a local 1-D angular speed, namely (i) a bio-inspired 2-pixel motion sensor and (ii) an off-the-shelf mouse sensor, were tested for the first time in a wide range of illuminance levels. The sensors' characteristics were determined here by recording their responses to a purely rotational optic flow generated by rotating the sensors mechanically and comparing their responses with an accurate rate gyro output signal. The refresh rate, a key parameter for future optic flow-based robotic applications, was also defined and tested in these two sensors. The bio-inspired 2-pixel motion sensor was found to be more accurate indoors whereas the mouse sensor was found to be more efficient outdoors.
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