Abstract
High precision positioning for a ship is important during logistics automation on water. This paper has proposed a positioning system of model ship based on monocular vision. Firstly an image of the experiment pool can be obtained by the camera on shore before the image is filtered and corrected in the preprocessing. Then the system uses binarization area and color threshold to identify a ship target. Finally ship real-time information which includes position, navigation speed and course can be obtained by transforming the image coordinate into the inertial coordinate, and the ship track will be displayed on the positioning software at the same time. Experimental results show that real-time and positioning precision of this system can meet automatic navigation demand for model ship.
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
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Hofmann W.B., Lichtenegger H., Collins J.: Global Positioning System: Theory and Practice. Springer Science & Business Media (2013)
Zheng, L.F.: Mobile Location Services Based on GPSone Technology Application in VTS. Marine Technology 46–47 (2009)
Xu, X.F.: Research on Error Emendation of Strap-down Inertial Navigation System Based on GPS. Computer Measurement & Control 2518–2521 (2013)
Essen, H.H., Gurgel, K.W., Schlick, T.: On the Accuracy of Current Measurements by Means of HF Radar. Oceanic Engineering 472–480 (2002)
Zhou, T.: 3D Reconstruction Based on Monocular Vision. Xidian University (2014)
Li, R.M., Lu, L.L., Jin, G.D.: Research Overview of Location Method for Monocular Vision. Modern Computer 9–12 (2011)
Zhou, N.: Research on Camera Location based on monocular vision. Nanjing University of Aeronautics and Astronautics 30–33 (2007)
Li, X.F., Song, Y.N., Xu, R.H., Chen, J.: Tracking and Positioning of Ship Based on Binocular Vision. Journal of Nanjing University of Information Science & Technology (Natural Science Edition) 46–52 (2015)
Jin X. D.: Real time Detection and Classification of Ship by Computer Vision. Shanghai Maritime University (2007)
Xie, D.L.: Study on Container Position System Based on Computer Vision. Tianjin University of Science and Technology (2006)
Wang, J.: Study of Ship Locating Principle by Measuring Distance Based on the Monocular Camera Machine Vision. Navigation of China 8–11 (2005)
Wang, J.T.: A Survey on Color Image Segmentation Techniques. Information Security and Technology 76–80 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Xie, S., Liu, C., Chu, X., Ouyang, X. (2015). A Positioning System Based on Monocular Vision for Model Ship. In: Corman, F., Voß, S., Negenborn, R. (eds) Computational Logistics. ICCL 2015. Lecture Notes in Computer Science(), vol 9335. Springer, Cham. https://doi.org/10.1007/978-3-319-24264-4_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-24264-4_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24263-7
Online ISBN: 978-3-319-24264-4
eBook Packages: Computer ScienceComputer Science (R0)