Pavement asphalt thickness detection method based on vehicle-mounted laser scanning spot cloud

A vehicle-mounted laser scanning, asphalt thickness technology, applied in measuring devices, optical devices, image data processing, etc., to improve detection accuracy, ensure safety and quality, and improve detection time and cost.

Inactive Publication Date: 2016-06-01
XIAMEN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] However, the massive amount of data it acquires poses serious challenges to subsequent storage and intelligent processing

Method used

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  • Pavement asphalt thickness detection method based on vehicle-mounted laser scanning spot cloud
  • Pavement asphalt thickness detection method based on vehicle-mounted laser scanning spot cloud
  • Pavement asphalt thickness detection method based on vehicle-mounted laser scanning spot cloud

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Example Embodiment

[0054] Example

[0055] See figure 1 , The present invention discloses a method for detecting the thickness of road asphalt in a road reconstruction project based on a vehicle-mounted laser scanning point cloud, which includes the following steps:

[0056] S1. Obtaining two sets of point cloud data

[0057] Use the vehicle-mounted laser scanning system to scan the point cloud data set in two scans. The first scan obtains the road point cloud data set of the exposed surface before the asphalt paving of the road renovation project, and the second scan obtains the road point cloud data set of the asphalt pavement after the road renovation project is paved.

[0058] S2, data coarse registration

[0059] Two sets of point cloud data sets collected at different times and different scanning projects need to be registered to the same coordinate system before processing. The two sets of point cloud data have different road points, but for roadside traffic signs, street light poles, buildings,...

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Abstract

The invention discloses a pavement asphalt thickness detection method based on vehicle-mounted laser scanning spot cloud, comprising steps of obtaining spot cloud data, performing data rough registration through choosing a fixed object, using a pavement extraction algorithm based on the road shoulder to respectively detect two sets of the pavement points of the point cloud data, using the road shoulder point to perform precise registration on the data in the block, performing plane structure fitting on the pavement inside the grid, and detecting the asphalt thickness. The invention can fast and accurately detect and modify the thickness of the road asphalt, greatly reduces the processing time and the labor cost, effectively guarantees the road reconstruction quality and provides important data support to the civil traffic safety.

Description

technical field [0001] The invention relates to the fields of intelligent traffic systems and municipal road renovation projects, in particular to a method for detecting the thickness of road asphalt in road renovation projects based on vehicle-mounted laser scanning point clouds. Background technique [0002] Pavement asphalt thickness is an important index for pavement structure design and construction quality inspection. The difference in the thickness of the asphalt on the road surface will cause the unevenness of the road surface. The most common phenomenon is cracks, ruts, waves, potholes and other phenomena on the asphalt pavement. Vehicles running on roads with poor smoothness will not only consume a lot of fuel and have poor comfort, but will also cause certain damage to the vehicle, increase the maintenance cost of the vehicle, shorten the service life of the vehicle, and even bring certain safety hazards. In addition, the unevenness of the high-speed asphalt pave...

Claims

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Application Information

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IPC IPC(8): G01B11/06G06T7/00
CPCG01B11/06
Inventor 贾宏李军贾福凯
Owner XIAMEN UNIV
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