Robust and low-cost proximity sensor for line detection robot using goertzel algorithm

Rayi Yanu Tara, Teguh Barata Adji
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引用次数: 2

Abstract

The usage of proximity sensor for marker detections such as color line detection is the easiest technique in robotic competition. Most of the contestants use simple photo-reflective circuit as proximity sensor with constant light source and voltage-based threshold to deduce the presence of marker line. By using this technique, noises such as various changes in indoor lighting exposure and camera flash may cause negative effect against system performance. To overcome this situation, a proximity sensor model is presented utilizing photo-reflective circuit with modulated light source. Goertzel algorithm is then used to calculate the power spectrum value of the received signal from photo-reflective circuit. The presence of marker line is deduced by simple thresholding technique based on the previous calibrated power spectrum value. Using this model, marker line detection method based on proximity sensor becomes more robust against noises and disturbances.
基于goertzel算法的线检测机器人鲁棒低成本接近传感器
使用接近传感器进行标记检测,如颜色线检测,是机器人比赛中最简单的技术。大多数参赛者使用简单的光反射电路作为接近传感器,具有恒定的光源和基于电压的阈值来推断标记线的存在。通过使用这种技术,诸如室内照明曝光和相机闪光灯的各种变化等噪音可能会对系统性能产生负面影响。为了克服这种情况,提出了一种利用光反射电路调制光源的接近传感器模型。然后用Goertzel算法计算光反射电路接收信号的功率谱值。基于先前标定的功率谱值,采用简单的阈值法推导出标记线的存在。利用该模型,基于接近传感器的标记线检测方法对噪声和干扰具有更强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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