Road surface measurement and visualization based on data from the laser scanner

2014 ◽  
Author(s):  
Marian Hrubos ◽  
Ales Janota ◽  
Rastislav Pirnik
Keyword(s):  
Laser Scanner ◽  
Road Surface ◽  
Surface Measurement

scholarly journals DETECTION OF CRACKS IN PAVED ROAD SURFACE USING LASER SCAN IMAGE DATA

2016 ◽  
Vol XLI-B1 ◽  
pp. 559-562 ◽  
Author(s):  
J. Choi ◽  
L. Zhu ◽  
H. Kurosu
Keyword(s):  
Image Segmentation ◽  
Background Subtraction ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Image Data ◽  
Road Surface ◽  
Surface Model ◽  
Rolling Ball ◽  
The Difference ◽  
Paved Road

In the current study, we developed a methodology for detecting cracks in the surface of paved road using 3D digital surface model of road created by measuring with three-dimensional laser scanner which works on the basis of the light-section method automatically. For the detection of cracks from the imagery data of the model, the background subtraction method (Rolling Ball Background Subtraction Algorithm) was applied to the data for filtering out the background noise originating from the undulation and gradual slope and also for filtering the ruts that were caused by wearing, aging and excessive use of road and other reasons. We confirmed the influence from the difference in height (depth) caused by forgoing reasons included in a data can be reduced significantly at this stage. Various parameters of ball radius were applied for checking how the result of data obtained with this process vary according to the change of parameter and it becomes clear that there are not important differences by the change of parameters if they are in a certain range radius. And then, image segmentation was performed by multi-resolution segmentation based on the object-based image analysis technique. The parameters for the image segmentation, scale, pixel value (height/depth) and the compactness of objects were used. For the classification of cracks in the database, the height, length and other geometric property are used and we confirmed the method is useful for the detection of cracks in a paved road surface.

Study on the symmetrical laser displacement sensor for the road surface measurement

2010 ◽  
Author(s):  
Hongxun Song ◽  
Ronggui Ma ◽  
Yi Zhang ◽  
Hui Ding ◽  
Ning Zhang
Keyword(s):  
Road Surface ◽  
Displacement Sensor ◽  
Surface Measurement ◽  
Laser Displacement Sensor ◽  
The Road

Laser scanner based road surface estimation for automotive applications

2014 ◽  
Author(s):  
Mohamed Essayed Bouzouraa ◽  
Martin Kellner ◽  
Ulrich Hofmann ◽  
Robert Lutz
Keyword(s):  
Laser Scanner ◽  
Road Surface ◽  
Automotive Applications ◽  
Surface Estimation

scholarly journals DETECTION OF CRACKS IN PAVED ROAD SURFACE USING LASER SCAN IMAGE DATA

2016 ◽  
Vol XLI-B1 ◽  
pp. 559-562
Author(s):  
J. Choi ◽  
L. Zhu ◽  
H. Kurosu
Keyword(s):  
Image Segmentation ◽  
Background Subtraction ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Image Data ◽  
Road Surface ◽  
Surface Model ◽  
Rolling Ball ◽  
The Difference ◽  
Paved Road

In the current study, we developed a methodology for detecting cracks in the surface of paved road using 3D digital surface model of road created by measuring with three-dimensional laser scanner which works on the basis of the light-section method automatically. For the detection of cracks from the imagery data of the model, the background subtraction method (Rolling Ball Background Subtraction Algorithm) was applied to the data for filtering out the background noise originating from the undulation and gradual slope and also for filtering the ruts that were caused by wearing, aging and excessive use of road and other reasons. We confirmed the influence from the difference in height (depth) caused by forgoing reasons included in a data can be reduced significantly at this stage. Various parameters of ball radius were applied for checking how the result of data obtained with this process vary according to the change of parameter and it becomes clear that there are not important differences by the change of parameters if they are in a certain range radius. And then, image segmentation was performed by multi-resolution segmentation based on the object-based image analysis technique. The parameters for the image segmentation, scale, pixel value (height/depth) and the compactness of objects were used. For the classification of cracks in the database, the height, length and other geometric property are used and we confirmed the method is useful for the detection of cracks in a paved road surface.

scholarly journals Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Jungil Shin ◽  
Hyunsuk Park ◽  
Taejung Kim
Keyword(s):  
Surface Condition ◽  
Laser Scanner ◽  
Time Of Day ◽  
Road Surface ◽  
Driving Safety ◽  
Surface Conditions ◽  
Active Sensor ◽  
Roadside Vegetation ◽  
Signal Characteristics ◽  
Wet Surface

A frozen or wet road surface is a cause of skidding and accidents, so road surface condition is important information for driving safety. Some instruments and methods have been developed to investigate road surface conditions based on optical imagery, although an active sensor is needed, regardless of the time of day. Recently, the laser scanner, which acquires backscattering intensity data related to reflectivity, has become popular in various fields. There is a need to investigate road surface conditions (frozen, wet, or dry) using laser backscattering intensity. This study tries to analyze signal characteristics of laser backscattering intensity to detect frozen and wet surfaces on roads. An ice target with a 7 cm thickness was placed on a road surface, and a wet surface was made due to the melting ice. The ice target, wet surface, dry surface, and roadside vegetation were scanned using a laser scanner. As a result, backscattering signals from the top surface of the ice target were missing due to its smoothness. Dry and wet asphalt surfaces showed distinguishable intensity ranges in their signals. The thick sidewall of the ice target and vegetation at the roadside showed overlapping intensity ranges. An ice sheet is only a few millimeters thick on a real road surface, and the roadside vegetation might be easily distinguished by using texture or auxiliary data. Therefore, laser backscattering intensity can be used to detect frozen, wet, and dry road surfaces, regardless of the time of day. The laser scanner can be installed to acquire information about road surface conditions from observation stations and vehicles in an application for transportation.

Fracture Surface Measurement of Concrete with Respect to Loading Speed

2014 ◽  
Vol 982 ◽  
pp. 94-99 ◽  
Author(s):  
Michal Mára ◽  
Petr Maca
Keyword(s):  
Fracture Surface ◽  
Reverse Engineering ◽  
Impact Loading ◽  
High Performance ◽  
High Performance Concrete ◽  
Laser Scanner ◽  
Plain Concrete ◽  
3D Models ◽  
Measured Data ◽  
Surface Measurement

Reverse engineering is a specialization which was developed a lot in the 21st century. The major aim is researching and describing the principals and procedures of process and structures. Reverse engineering in civil engineering is used to describe the applied loadings which caused corruption or failure of a structure or it is used to reconstruct 3D models of the original object. The aim of this paper is to compare response to static and impact loading of two materials, i.e. plain concrete and high-performance concrete (HPC), with respect to the fracture surface area. These areas were scanned by the 3D laser scanner and they were evaluated in the graphic programs. The main objective of this paper is a presentation of measured data, which can be used to determine the size of the applied loadings using reverse engineering.

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