Abstract
On the basis of geometrical relationship between three-dimensional spatial target system and double-theodolites, the measurement models of observing angle and spatial coordinates together with distance are established according to the principles of the space rendezvous and docking technology. In fact, due to the angles’ trigonometric functions’ nonlinearities and theodolite’s inner characteristics, observing angle readings of double-theodolites produce errors at certain position. The reasons of such errors are analyzed, and the idea is provided of taking errors as nonlinear components, building up the Neural Network (NN) to simulate the nonlinear mapping between observing angles and distances, optimizing its weights, and regarding the outputs of NN as compensated term. Simulation curves imply weights of NN intermediate layer influence the final compensation precision. In experiment, NN with optimized weights is applied in the processing of measured data; the results of which certificate such idea adaptively compensate system errors’ influences in binocular stereo vision.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zili Z, Jigui Z, Na G et al (2010) The design of double-theodolite 3D coordinate measurement system. Chin J Sens Actuators 23(5):660–664 (in Chinese)
Fuqiang Z, Guangjun Z, Jie J et al (2004) Three-dimensional coordinate measuring system with bino-theodolites on site. Chin J Mech Eng 40(1):165–169 (in Chinese)
Wei L, Jin G (2010) The research on servo control technology of O-E theodolite based on angular acceleration sensor. In: International conference on computer, mechatronics, control and electric engineering (CMCE), pp 629–632
Hu Z, Jigui Z, Shenghua Y et al (2008) Resolution improvement of the electronic theodolite in automatic guided laser theodolite system by subdivided locating method of image. In: Proceedings of SPIE the international society for optical engineering, Beijing, China, pp 716001–716009
Yanbin L, Guang J, Huiyang H (2004) Research on control error of an target simulator. Acta Simulata Systematica Sin 16(4):820–824 (in Chinese)
Luna CA, Mazo M, Lazaro JL et al (2005) Reduction of vibration-induced errors in 3D measurement system with vision and structured light. In: IEEE ISIE pp 1291–1296, 20–23 June 2005
Handel H (2008) Compensation of thermal error in vision based measurement systems using a system identification approach. In: ICSP2008 Proceedings, pp 1329–1333
Nagatomo S, Hayashi J, Hata S (2009) Proposal of calibration error-tolerant 3D measurement method using stereo vision for robot vision. In: Proceedings of the 2009, IEEE international conference on mechatronics and automation, pp 3263–3268
Huang J, Kosaka S, Imamura Y et al (2007) Measurement of distance error in reaching movement of the human hand without using vision. In: Proceedings of the 29th annual international conference of the IEEE EMBS pp 4866–4869
Chao W, Mingrong L, Zengtai Z (2007) Application of a pair of theodolites in the height dimensional precision structural framework measurement. Electro-Mech Eng 23(2):1–5
Netterville DDJ, Djurfors SG (1979) Controlling inherent uncertainties in double theodolite measurements. Am Meteorol Soc 18(2):1371–1375
Schaefer Joseph T, Charles A, Doswell lll (1978) The inherent position errors in double-theodolite pibal measurement. J Appl Meteorol 17(3):911–915
Lenz James, Edelstein Alan S (2006) Magnetic sensor and their applications. IEEE Sens J 6(3):631–649
McElvain J, Campbell SP, Miller J et al (2010) Texture-based measurement of spatial frequency response using the dead leaves target: extensions, and application to real camera systems. Proc SPIE Digit Photogr 7537(1):1–11
Elizabeth Petrik. “Theodolite Instructions” ACME Experiment, 2011
Jacqueline M, de Faria L, Katsumi O, Arai M et al (1998) Objective measurement of contrast sensitivity function using contrast sweep visual evoked responses. Br J Ophthalmol 82:168–173
Min Z, Zongming Q, Jiamin Q et al (2008) Guideless spatial cooperate measurement technology based on coding pole Chinese. J Mech Eng 21(1):87–91 (in Chinese)
Schneck ME, Haegerstom-Portnoy G, Lott LA et al (2010) Monocular vs. binocular measurement of spatial vision in elders. Optom Vis Sci 87(8):526–530
Zheng X, Li C, Zhao X et al (2010) Depth measurement using monocular stereo vision syste-aspect of spacial discretization. Proc SPIE Optoelectron Imaging Multimedia Technol 7850(1):1–9
Xie H, Jiang A, Wurdemann HA et al (2014) Magetic resonanace-compatible tactile force sensor using fiber optics and vision sensor. IEEE Sens J 14(3):829–838
Yan L, Yan-feng Q, Wan-xin S (2005) Double-theodolite measurement system used in the image calibration of space photographic instrument. Optoelectron Lett 3(15):0213–0216
Bin W, Wang B (2013) Automatic measurement in large-scale space with the laser theodolite and vision guiding technology. Adv Mech Eng 2013:1–9
Acknowledgments
This project is financially supported by Natural Scientific Research Innovation Foundation in Harbin Institute of Technology (No. HIT.NSRIF.2010100) and China Postdoctoral Science Foundation (No. 2013M531025).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, K., Yuan, F. (2015). Spatial Target Vision Measurement and Precision Compensation Based on Soft Computing. In: Deng, Z., Li, H. (eds) Proceedings of the 2015 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46469-4_34
Download citation
DOI: https://doi.org/10.1007/978-3-662-46469-4_34
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-46468-7
Online ISBN: 978-3-662-46469-4
eBook Packages: EngineeringEngineering (R0)