A verification and errors analysis of the model for object positioning based on binocular stereo vision for airport surface surveillance

Huan-huan Wang; Jian Wang; Feng Liu; Hai-juan Cao; Xiang-jun Wang

doi:10.1117/12.2072407

3 December 2014 A verification and errors analysis of the model for object positioning based on binocular stereo vision for airport surface surveillance

Huan-huan Wang, Jian Wang, Feng Liu, Hai-juan Cao, Xiang-jun Wang

Author Affiliations +

Proceedings Volume 9297, International Symposium on Optoelectronic Technology and Application 2014: Laser and Optical Measurement Technology; and Fiber Optic Sensors; 929718 (2014) https://doi.org/10.1117/12.2072407
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

A test environment is established to obtain experimental data for verifying the positioning model which was derived previously based on the pinhole imaging model and the theory of binocular stereo vision measurement. The model requires that the optical axes of the two cameras meet at one point which is defined as the origin of the world coordinate system, thus simplifying and optimizing the positioning model. The experimental data are processed and tables and charts are given for comparing the positions of objects measured with DGPS with a measurement accuracy of 10 centimeters as the reference and those measured with the positioning model. Sources of visual measurement model are analyzed, and the effects of the errors of camera and system parameters on the accuracy of positioning model were probed, based on the error transfer and synthesis rules. A conclusion is made that measurement accuracy of surface surveillances based on binocular stereo vision measurement is better than surface movement radars, ADS-B (Automatic Dependent Surveillance-Broadcast) and MLAT (Multilateration).

Citation Download Citation

Huan-huan Wang, Jian Wang, Feng Liu, Hai-juan Cao, and Xiang-jun Wang "A verification and errors analysis of the model for object positioning based on binocular stereo vision for airport surface surveillance", Proc. SPIE 9297, International Symposium on Optoelectronic Technology and Application 2014: Laser and Optical Measurement Technology; and Fiber Optic Sensors, 929718 (3 December 2014); https://doi.org/10.1117/12.2072407

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