A Vessel Flow Detection System based on Laser Sensors

Authors

  • weiqing Li School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China, 210094
  • Youtao Yang School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China, 210094
  • Shihong Shen School of Computer Science and Engineering, Nanjing University of Science and Technology, China, Nanjing, 210094

DOI:

https://doi.org/10.3991/ijoe.v10i2.3427

Keywords:

Vessel flow, laser sensor, feature extraction, mathematical morphology, data fusion

Abstract


A system using two laser sensors for vessel flow detection was introduced. Mathematical morphology on ship contour detection was studied and vesselâ??s contour was reconstructed based on geometric space projection, vesselâ??s width threshold filtering and connected graph merging. Also, the necessity of vesselâ??s contour reconstruction is verified by experiments. A data fusion method based on two laser sensors was researched for vesselâ??s length detection, which using spatial adjustment and data correlation to calculate the speed, and to estimate the length of a vessel. Finally, a vessel flow detection system was built and worked fine.

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Published

2014-03-09

How to Cite

Li, weiqing, Yang, Y., & Shen, S. (2014). A Vessel Flow Detection System based on Laser Sensors. International Journal of Online and Biomedical Engineering (iJOE), 10(2), pp. 42–46. https://doi.org/10.3991/ijoe.v10i2.3427

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Papers