The need to develop new geodesic-based computational algorithms for marine navigation electronic devices and systems

Weintrit, Adam

doi:10.1109/iain.2015.7352263

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…e core of these algorithms is to determine whether two trajectories from multiple systems represent the same vessel target. Although the above methods have achieved certain results, they still have the following limitations, and it is difficult for a single sensor to respond to complex environmental perception information [12]. e laser sensor has the advantages of high detection accuracy and is not affected by weather conditions, but it cannot obtain information such as color and texture and can only reflect the characteristics of the target's outline and other characteristics [13][14][15].…”

Section: Research Overviewmentioning

confidence: 99%

Research on Active Intelligent Perception Technology of Vessel Situation Based on Multisensor Fusion

Yin

et al. 2020

Mathematical Problems in Engineering

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In this paper, we focus on the safety supervision of inland vessels. This paper especially aims at studying the vessel target detection and dynamic tracking algorithm based on computer vision and the target fusion algorithm based on multisensor. For the vessel video target detection and tracking, this paper analyzes the current widely used methods and theories. Additionally, facing the application scenarios and characteristics of inland vessels, a comprehensive vessel video target detection algorithm is proposed in this paper. It is combined with a three-frame difference method based on Canny edge detection and a background subtraction method based on mixed Gaussian background modeling. Besides, for the multisensor target fusion, the processing method of laser point cloud data and automatic identification system (AIS) data is analyzed in this paper. Based on the idea of fuzzy mathematics, this paper proposes a method for calculating the fuzzy correlation matrix with normal membership function, which realizes the fusion of vessel track features of laser point cloud data and AIS data under dynamic video correction. Finally, through this method, a set of vessel situation active intelligent perception systems based on multisensor fusion was developed. Experiments show that this method has better environmental applicability and detection accuracy than traditional manual detection and any single monitoring method.

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Section: Research Overviewmentioning

confidence: 99%

Research on Active Intelligent Perception Technology of Vessel Situation Based on Multisensor Fusion

Yin

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

The need to develop new geodesic-based computational algorithms for marine navigation electronic devices and systems

Cited by 1 publication

References 16 publications

Research on Active Intelligent Perception Technology of Vessel Situation Based on Multisensor Fusion

Research on Active Intelligent Perception Technology of Vessel Situation Based on Multisensor Fusion

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