FOD detection method based on road surface point cloud data

A point cloud data and detection method technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as slow processing speed

Active Publication Date: 2014-02-12
THE SECOND RES INST OF CIVIL AVIATION ADMINISTRATION OF CHINA
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method for automatically detecting runway intrusion from a large amount of point cloud data obtained from laser scanning equipment in view of the above-mentioned existing problems, such as manual plane search, manual region of interest selection, slow processing speed, etc. foreign body method

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  • FOD detection method based on road surface point cloud data
  • FOD detection method based on road surface point cloud data
  • FOD detection method based on road surface point cloud data

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[0037] All features disclosed in this specification, or steps in all methods or processes disclosed, may be combined in any manner, except for mutually exclusive features and / or steps.

[0038] Any feature disclosed in this specification (including any appended claims, abstract and drawings), unless expressly stated otherwise, may be replaced by alternative features which are equivalent or serve a similar purpose. That is, unless expressly stated otherwise, each feature is one example only of a series of equivalent or similar features.

[0039] Relevant description of the present invention:

[0040] 1. The present invention includes a computer, a laser scanner, and a cloud platform. The laser scanner collects information on the runway, and sends the collected data to the computer. The computer outputs control parameters according to the received data, and controls the rotation of the cloud platform to drive the laser. The scanner turns. Wherein the laser scanner is placed on...

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Abstract

In order to solve problems, the invention provides a method for automatically detecting foreign invasion objects in a runway from a large amount of point cloud data acquired from laser scanner, and relates to a three-dimensional point cloud image object detection technology. The point cloud data acquired by the laser scanner are converted into point cloud data of runway coordinates, the size of object data in the vertical direction is judged, and then whether objects in the vertical direction are the foreign invasion objects or not is judged. According to the method, a complete data processing and foreign invasion object detection method is designed without special hardware equipment requirements, and the effect of runway plane foreign invasion object detection which is quick, accurate and high in self-adaptive capacity is achieved.

Description

technical field [0001] The invention relates to a three-dimensional point cloud image object detection technology, and invents a method for automatically detecting runway intrusion foreign objects from a large amount of point cloud data acquired by a laser scanning device. Background technique [0002] During take-off and landing, foreign objects (Foreign Object Debris, FOD) existing on the runway may pose a major threat to flight safety. Potential hazards range from damage to the fuselage, to air crashes and fatalities. Therefore, in order to ensure the safety of flights, intruders must be discovered and identified in time, and correspondingly dealt with according to their threat level. The runway intruders that threaten aviation safety can be as small as 3cm in diameter. Using manual inspection on a runway that is thousands of meters long is inefficient and the intruders are more likely to be ignored. Therefore, using an automated system to efficiently and accurately fin...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 隋运峰钟琦李华琼杨晓嘉张中仅王雨果鄢丹青范丹
Owner THE SECOND RES INST OF CIVIL AVIATION ADMINISTRATION OF CHINA
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