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Proceedings Paper

Vehicle self-velocimeter for navigation system based on a linear image sensor
Author(s): Xin He; Xiaoming Nie; Jian Zhou; Xingwu Long
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Paper Abstract

The idea of using the method of spatial filtering velocimetry based on a linear CMOS image sensor is proposed to provide accurate velocity information for vehicle self-contained navigation system. A new method is proposed to determine the error source of the system. The image sensor is employed both as a detector and as a pair of differential spatial filters so that the system is simplified. The spatial filtering operation is fully performed in a field programmable gate array (FPGA). The approach of fast Fourier transform (FFT) is employed to obtain the power spectra of the filtered signals. Because of limited frequency resolution of FFT, a frequency spectrum correction algorithm, called energy centrobaric correction, is used to improve the frequency resolution. The velocities of the side surface of a high precision rotary table and the radiating frequencies of an LED are measured. The experimental results show that the measuring error of velocity of a rotary table is about 0.73% and the measurement uncertainty of 1000 times tests is 0.55%; the radiating frequency of an LED is measured under the condition of no imaging system, and the measurement uncertainty turns out to be within 10-5. Error sources of the system are analyzed and it is concluded that the main error source of the device is the imaging system. In a word, the velocimeter can satisfy the requirements of non-contact, real-time, high precision and high stability velocity measurement of moving surfaces and has the potential of application to vehicle self-contained navigation system.

Paper Details

Date Published: 17 November 2014
PDF: 9 pages
Proc. SPIE 9274, Advanced Sensor Systems and Applications VI, 92741O (17 November 2014); doi: 10.1117/12.2072343
Show Author Affiliations
Xin He, National Univ. of Defense Technology (China)
Xiaoming Nie, National Univ. of Defense Technology (China)
Jian Zhou, National Univ. of Defense Technology (China)
Xingwu Long, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9274:
Advanced Sensor Systems and Applications VI
Tiegen Liu; Shibin Jiang; Niels Neumann, Editor(s)

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