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Ship over-limit early warning method and system based on point cloud data

A point cloud data, ship technology, applied in image data processing, ship traffic control, traffic control system and other directions, can solve the problem of lack of collision protection measures for inland waterway navigation aids, achieve efficient and accurate early warning, and ensure processing efficiency Effect

Pending Publication Date: 2021-06-25
WUHAN UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0002] At present, there are many anti-collision warning and protection technologies in the fields of highway, shipping, port management, bridge protection, etc., but there are still few anti-collision protection measures for navigation aids in inland waterways

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  • Ship over-limit early warning method and system based on point cloud data
  • Ship over-limit early warning method and system based on point cloud data
  • Ship over-limit early warning method and system based on point cloud data

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Embodiment Construction

[0061] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0062] like figure 1 As shown, the embodiment of the present invention provides a kind of ship overrun early warning based on point cloud data, the method includes the following steps:

[0063] S1. Obtain the environmental point cloud data collected by the lidar. In this step, according to the application scenario of the waterway, considering that the 3D lidar superelevation detection is a high-precision instrument and equipment, its installation and use will be affected by inland water fog and traffic vibration on the bridge. Therefore, this topic needs to first distinguish between bridge installation methods and The characteristics of the pole installation method at the shore end of the channel, and then design a...

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Abstract

The invention relates to a ship over-limit early warning method and system based on point cloud data. The method comprises the following steps: acquiring environmental point cloud data acquired by a laser radar; preprocessing the environmental point cloud data through a statistical filtering algorithm and a bilateral filtering algorithm; performing two-dimensional gridding on the preprocessed environment point cloud data, and performing segmentation according to a K-means clustering algorithm to obtain target ship point cloud data; obtaining a height value corresponding to the highest point of the point cloud data of the target ship; and comparing the height value with a preset height limit value, and when the height value is larger than or equal to the height limit value, sending out an over-limit early warning signal of the corresponding ship. According to the technical scheme of the invention, the early-warning monitoring precision is ensured by the early-stage multi-dimensional preprocessing algorithm, and the processing efficiency of the early-warning monitoring process is ensured by the later-stage two-dimensional gridding processing, so that efficient and accurate early warning of the passing ships is realized.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method and system for ship overrun early warning based on point cloud data. Background technique [0002] At present, there are many anti-collision early warning and protection technologies in the fields of highway, shipping, port management, bridge protection, etc., but there are still few anti-collision protection measures for navigation aids in inland waterways. It is necessary to design an efficient and accurate ship collision warning system based on the actual ship conditions and water conditions of the inland waterway, and use the accurate model-based moving object recognition technology to realize intelligent monitoring functions such as ship recognition and capture, speed analysis, and collision warning to improve The daily supervision and maintenance level of navigation marks. The rapid development of 3D lidar and large-scale point cloud data processing technolo...

Claims

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Application Information

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IPC IPC(8): G06T7/60G06K9/62G08G3/02
CPCG06T7/60G08G3/02G06T2207/10028G06T2207/20028G06T2207/30236G06T2207/10044G06F18/23213
Inventor 李维刚钟正赵云涛
Owner WUHAN UNIV OF SCI & TECH
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