Study on aircraft speed measurement method based on computer vision of high-speed camera

Author(s):  
Zhang Yifei ◽  
Feng Can ◽  
Liu Yayan ◽  
Li Ruijie ◽  
Lei Aiqiang
2011 ◽  
Vol 271-273 ◽  
pp. 7-12
Author(s):  
Chao Fan ◽  
Tie Jun Yang ◽  
Hong Liang Fu ◽  
Yi Tao Liang

To measure the sub-pixel image motion of the sequence images which are captured by the high-speed camera at the high frame rate with poor SNR, the joint transform correlator (JTC) is used. The relative image motion of the two adjacent images can be measured by inputting these images into the correlator. The principle of this method is described, and the effect of the defocussing of the CCD in the JTC on the accuracy is analyzed. To research the measurement performance of the JTC concretely, the experiment platform is set up. By using different images with different image motion, the results showed that, the JTC can measure the sub-pixel image motion entirely even for the images with SNR=1, and the measurement error submits to the normal distribution, which implies zero mean and the RMS is no more than 0.12 pixel under the conspicuous level is equal to 0.05.


2014 ◽  
Vol 596 ◽  
pp. 468-471
Author(s):  
Tao Hou ◽  
Duo Wang Fan ◽  
Hong Xia Niu

For the problem of a big velocity measurement error,analyzed the velocity measurement error and studied the method of improving velocity measurement accuracy for the velocity measuring system of high-speed train.In this analysis and method, the speed error analysis was carried out based on understand the characteristics of the high-speed train speed sensor, and found that there is a bigger error. Then discussed the influence of large errors of the control system, and then put forward the improved M/T speed measurement method to solve the error problem. Finally, calculated velocity-measuring error for the improved M/T speed measurement method. The results show that the accuracy of speed has improved greatly. The research method can improve the accuracy to meet the requiring of train safety and smooth run.


2021 ◽  
Vol 92 (5) ◽  
pp. 054701
Author(s):  
T. Hennen ◽  
E. Wichmann ◽  
A. Elias ◽  
J. Lille ◽  
O. Mosendz ◽  
...  

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