Inside the thesis we can find description around system noise, sensor noise, sensor output, output, standard deviation, distance derivation algorithms, the distance measurement, the image acquisition, measurement, and signal. The thesis presents discussion around sensor, cmos sensor, distance measurement, noise, measurements, sensor system, error, image sensor, and output signals.
Many information about output signal, kalman ﬁltering, the image sensor, range, ﬁlter, measurement noise, distance measurements, distance calculation, noise level, and camera system are explained inside the thesis. The following are chosen from this thesis:
This thesis describes and characterizes an advanced range camera for the distance range from 2 m to 25 m and novel real-time 3D image processing algorithms for object detection, tracking and classiﬁcation on the basis of the three-dimensional features of the camera output data. The technology is based on a 64×8 pixel array CMOS image sensor which is capable of capturing three-dimensional images. This is accomplished by executing indirect time of ﬂight measurement of NIR laser pulses emitted by the camera and reﬂected by the objects in the ﬁeld of view of the camera. An analytic description of the measurement signals and a derivation of the distance measuring algorithms are conducted in this thesis as well as a comparative examination of the distance measuring algorithms by calculation, simulation and experiments; in doing so, the MDSI3 algorithm showed the best results over the whole measurement range and is thus chosen as standard method of the distance measuring system.
In addition, the thesis presents information such as distance, measurement techniques, image processing, the kalman ﬁlter, image acquisition, measurement accuracy, measurement range, distance measurement techniques, and the system noise.