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A method to enhance the accuracy of time of flight measurement systems

机译:一种提高飞行时间测量系统精度的方法

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A ToF-camera operates with modulated visible and near-infrared radiation, which is detected andrndemodulated simultaneously by a 2-D array of pixels. The phase shift between the sent signal and thernreceived signal is an indicator for the object's distance. The amplitude of the radiation gives additionalrninformation for its reflectance. Unfortunately, measurements of distances performed with almost allrncameras available on the market show very high deviations. The main reason for them seems to be therninfluence of stray light, which is detected by the camera with the modulated radiation. Another source ofrnuncertainties is the low sampling rate along the received signal. In the first part of this paper, experimentsrnusing different cameras and alternating environments have been performed in order to determine therndeviations, which are up to 20 cm over a distance of 150 cm. A survey of existing cameras as well asrntheir performance has taken place. In the second part of the present work two approaches for therneliminations of the deviations have been introduced. In the first approach spline functions have beenrncalculated using reference measurements for distances between 5 cm and 200 cm. Those functions arernused for the calculation of the uncertainties of each pixel. Alternatively the splines can be replaced by arngain matrix which is multiplied with the image matrix in order to equalize the error of the distancernmeasurement of the pixel. Subsequently only one spline is needed in order to adjust the distances. In thisrncase the calculation is faster but it cannot be applied in every case. The reflectance of the objects in thernscene has not been taken into account yet. The opposite happens in the second approach in order tornenhance the accuracy of the measurement. This is done by estimating the reflectance of the nearestrnobject in dependency of the measured amplitude and distance. The reflectance of the background,rnrespectively everything behind the nearest object, is estimated by using the measured amplitude of thernbackground and the distance of the nearest object and the background. By using both reflectance factorsrnand the distances as indicators for further smoothing functions the error of measurement due to thernreflectance can be determined. After applying both methods the error of measurement decreased in ourrntests from about 20 cm to 3 cm.
机译:ToF摄像机使用可见光和近红外光进行调制,并由二维像素阵列同时检测和解调。发送信号和接收信号之间的相移是物体距离的指示器。辐射的幅度为其反射率提供了其他信息。不幸的是,使用市场上几乎所有数码相机进行的距离测量都显示出很大的偏差。造成这些现象的主要原因似乎是杂散光的影响,该杂散光是由照相机通过调制辐射检测到的。另一个不确定性来源是沿接收信号的低采样率。在本文的第一部分中,已经进行了使用不同相机和交替环境的实验,以便确定在150 cm的距离上最大20 cm的偏差。已经对现有摄像机及其性能进行了调查。在本工作的第二部分中,介绍了两种消除偏差的方法。在第一种方法中,样条函数已使用5到200厘米之间的参考测量值进行了计算。这些函数被用于计算每个像素的不确定性。可替代地,样条可以被阿金增益矩阵代替,该阿金增益矩阵与图像矩阵相乘,以便使像素的测距误差相等。随后,仅需要一个花键即可调整距离。在这种情况下,计算速度更快,但不能在所有情况下都适用。还没有考虑物体在场景中的反射率。为了提高测量的准确性,在第二种方法中发生相反的情况。这是通过根据测量的幅度和距离估算最近物体的反射率来完成的。通过使用测得的背景振幅以及最近物体与背景之间的距离,可以估算出背景反射率,或者说是最接近物体后面的所有物体。通过使用反射系数和距离作为进一步平滑功能的指标,可以确定由于反射引起的测量误差。应用这两种方法后,测量误差在我们的测试中从大约20 cm减小到3 cm。

著录项

  • 来源
    《Sensor+Test conference 2011》|2011年|p.72-77|共6页
  • 会议地点 Nurnberg(DE);Nurnberg(DE);Nurnberg(DE);Nurnberg(DE);Nurnberg(DE);Nurnberg(DE)
  • 作者单位

    Emden/Leer, St, Klein, Inosens GmbH, Dahlenburg (Germany) Leuphana Universit?t Lüneburg Volgershall 1 21339 Lüneburg;

    Emden/Leer, St, Klein, Inosens GmbH, Dahlenburg (Germany) Leuphana Universit?t Lüneburg Volgershall 1 21339 Lüneburg;

    Emden/Leer, St, Klein, Inosens GmbH, Dahlenburg (Germany) Leuphana Universit?t Lüneburg Volgershall 1 21339 Lüneburg;

    Emden/Leer, St, Klein, Inosens GmbH, Dahlenburg (Germany) Leuphana Universit?t Lüneburg Volgershall 1 21339 Lüneburg;

    Emden/Leer, St, Klein, Inosens GmbH, Dahlenburg (Germany) Leuphana Universit?t Lüneburg Volgershall 1 21339 Lüneburg;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP212;
  • 关键词

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