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3D Time-of-flight distance measurement with custom - Universität ...

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120 CHAPTER 5<br />

4000<br />

3500<br />

3000<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

Linearity <strong>measurement</strong> (I): FS46<br />

0<br />

0 5 10 15 20 25<br />

BRIGHT <strong>measurement</strong><br />

250<br />

200<br />

150<br />

100<br />

50<br />

Linearity <strong>measurement</strong> (II): FS46<br />

0<br />

0 5 10 15 20 25<br />

DARK <strong>measurement</strong><br />

Figure 5.10 Linearity <strong>measurement</strong>s <strong>of</strong> the output stage for different illumination<br />

intensities and integration times (0-50 ms).<br />

The <strong>measurement</strong> (Figure 5.10) is performed for two illumination intensities, one<br />

nearly leading to saturation <strong>of</strong> the output stage for the longest integration time<br />

(BRIGHT <strong>measurement</strong>) and the other <strong>with</strong> a factor <strong>of</strong> 100 lower intensity (DARK<br />

<strong>measurement</strong>). The <strong>measurement</strong> conditions chosen are summarized in MCD01 in<br />

the appendix. For the quantization <strong>of</strong> the analog output, we use the EPPI<br />

(Enhanced Parallel Port Interface, a CSEM product), a 12 bit frame grabber that<br />

can be connected to the parallel port <strong>of</strong> a PC.<br />

We can already judge by eye that the overall system linearity appears to be good<br />

(Figure 5.10). Only for very low output voltages (DARK <strong>measurement</strong>) does the<br />

linearity deteriorate. To judge the actual influence <strong>of</strong> this DARK <strong>measurement</strong><br />

nonlinearity, we approximate the measured curve <strong>with</strong> a polynomial. This can easily<br />

2<br />

3<br />

4<br />

be done <strong>with</strong> MATLAB (polynom: 13. 2 ⋅ x − 0.<br />

53 ⋅ x + 0.<br />

02 ⋅ x − 0.<br />

0003 ⋅ x , for<br />

0

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