tof传感器校准的新见解

Marvin Lindner, A. Kolb, T. Ringbeck
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引用次数: 36

摘要

飞行时间(ToF)传感器已经成为传统距离传感技术(如激光扫描仪或基于图像的立体)的替代方案。ToF传感器以高帧率提供全范围距离信息,因此对当前在线物体识别、碰撞预防或场景重建等领域的研究产生了重大影响。然而,像光子混频器设备(PMD)这样的ToF相机仍然表现出一些关于静态和动态效果的挑战,例如系统距离误差和运动伪影。已经提出了减少静态系统误差的传感器校准技术,并显示出良好的效果。然而,目前的校准技术通常需要大量的参考数据来确定校准模型的相应参数。本文介绍了一种结合多种解调技术对ToF摄像机参考信号进行标定的新方法。实例表明,所得到的组合解调技术仅基于两个所需的参考数据集就能产生改进的距离值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New insights into the calibration of ToF-sensors
Time-of-flight (ToF) sensors have become an alternative to conventional distance sensing techniques like laser scanners or image based stereo. ToF sensors provide full range distance information at high frame-rates and thus have a significant impact onto current research in areas like online object recognition, collision prevention or scene reconstruction. However, ToF cameras like the photonic mixer device (PMD) still exhibit a number of challenges regarding static and dynamic effects, e.g. systematic distance errors and motion artefacts, respectively. Sensor calibration techniques reducing static system errors have been proposed and show promising results. However, current calibration techniques in general need a large set of reference data in order to determine the corresponding parameters for the calibration model. This paper introduces a new calibration approach which combines different demodulation techniques for the ToF- camera 's reference signal. Examples show, that the resulting combined demodulation technique yields improved distance values based on only two required reference data sets.
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