scholarly journals AUTOMATIC ROAD STRUCTURE DETECTION AND VECTORIZATION USING MLS POINT CLOUDS

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1069-1075 ◽  
Author(s):  
X. Mi ◽  
B. Yang ◽  
C. Chen ◽  
M. Yang ◽  
Z. Dong
Keyword(s):  
Free Space ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Point Clouds ◽  
Scanning System ◽  
The Road ◽  
Structure Detection ◽  
Dimensional Boundary ◽  
On The Road ◽  
Laser Scanning System

<p><strong>Abstract.</strong> Accurate three-dimensional road structures and models are of great significance to intelligent transportation applications, such as vehicle navigation, inventory evaluation, construction quality control, self-driving vehicles and so on. This paper proposes an efficient and robust method to automatically extract structured road curbs from mobile laser scanning (MLS) data. The proposed method mainly consists of three steps: efficient supervoxel generation, road curbs detection and driving free space estimation. First, supervoxels are generated by assigning ground points with similar geometrical characteristics into the same group. Second, supervoxels with higher local projection density and height difference are identified and clustered as initial road curbs, which are continuous vertical curb facets. The continuous facades consisting of lots of scanned points on the road shoulder can be modeled as multi-dimensional boundary models depending on the requirements of the application, such as vector lines with or without height, micro-facades, etc. Finally, driving free space is obtained due to the road limits can be defined by road boundary in most scenarios. The proposed method is tested on two complex datasets acquired by an Alpha3D mobile laser scanning system from the urban area of Shanghai, China. Experimental results show that the road boundaries and driving free space can be accurately and efficiently extracted, which also demonstrates the superiority of the proposed method.</p>

Recognition and repairing of surface hole in three dimensional laser scanning system

2016 ◽  
Vol 9 (1) ◽  
pp. 114-121
Author(s):  
吕源治 LYU Yuan-zhi ◽  
孙 强 SUN Qiang ◽  
毕国玲 BI Guo-ling
Keyword(s):  
Laser Scanning ◽  
Three Dimensional ◽  
Scanning System ◽  
Laser Scanning System

scholarly journals Mobile Laser Scanning Data for the Evaluation of Pavement Surface Distress

2020 ◽  
Vol 12 (6) ◽  
pp. 942 ◽  
Author(s):  
Maria Rosaria De Blasiis ◽  
Alessandro Di Benedetto ◽  
Margherita Fiani
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Road Traffic ◽  
Single Point ◽  
Three Dimensional ◽  
Point Clouds ◽  
Road Surface ◽  
Important Indicator ◽  
The Road ◽  
Laser Systems

The surface conditions of road pavements, including the occurrence and severity of distresses present on the surface, are an important indicator of pavement performance. Periodic monitoring and condition assessment is an essential requirement for the safety of vehicles moving on that road and the wellbeing of people. The traditional characterization of the different types of distress often involves complex activities, sometimes inefficient and risky, as they interfere with road traffic. The mobile laser systems (MLS) are now widely used to acquire detailed information about the road surface in terms of a three-dimensional point cloud. Despite its increasing use, there are still no standards for the acquisition and processing of the data collected. The aim of our work was to develop a procedure for processing the data acquired by MLS, in order to identify the localized degradations that mostly affect safety. We have studied the data flow and implemented several processing algorithms to identify and quantify a few types of distresses, namely potholes and swells/shoves, starting from very dense point clouds. We have implemented data processing in four steps: (i) editing of the point cloud to extract only the points belonging to the road surface, (ii) determination of the road roughness as deviation in height of every single point of the cloud with respect to the modeled road surface, (iii) segmentation of the distress (iv) computation of the main geometric parameters of the distress in order to classify it by severity levels. The results obtained by the proposed methodology are promising. The procedures implemented have made it possible to correctly segmented and identify the types of distress to be analyzed, in accordance with the on-site inspections. The tests carried out have shown that the choice of the values of some parameters to give as input to the software is not trivial: the choice of some of them is based on considerations related to the nature of the data, for others, it derives from the distress to be segmented. Due to the different possible configurations of the various distresses it is better to choose these parameters according to the boundary conditions and not to impose default values. The test involved a 100-m long urban road segment, the surface of which was measured with an MLS installed on a vehicle that traveled the road at 10 km/h.

3D Laser Scanner and its Application in Engineering Survey

2013 ◽  
Vol 671-674 ◽  
pp. 2111-2114
Author(s):  
Yan Ping Feng ◽  
Wei Guo Li ◽  
Li Bing Yang ◽  
Yan Li Gao ◽  
Wen Bin Li
Keyword(s):  
Laser Scanning ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Target Object ◽  
Scanning System ◽  
3 Dimensional ◽  
Working Principle ◽  
Laser Scanning System ◽  
Three Dimensional Space

3D laser scanning system is to use laser ranging principle to record intensively the 3D coordinates, reflectivity and texture information on the surface of the target object. It makes a real record of the three-dimensional space, which makes traditional measurement be released from the limit that couldn’t be exceeded in the past, and let the measurement precision up to a new level. At the same time, it has provided extensive researches with better help than ever. This paper mainly discusses the characteristics, working principle, application and future development of the ground 3 dimensional laser scanner.

Research on 3D Reconstruction of the Facial Surface Reverse Engineering

2011 ◽  
Vol 201-203 ◽  
pp. 113-116 ◽  
Author(s):  
Jie Yang ◽  
Lei Zhao
Keyword(s):  
Computer Aided Design ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Scanning System ◽  
3D Face Reconstruction ◽  
Surface Integration ◽  
Computer Aided ◽  
Point Data ◽  
Aided Design ◽  
Laser Scanning System

According to the surface integration of laser technology and computer-aided design and computer-aided manufacturing technology (CAD & CAM), a method that is rebuilt surface of three-dimensional facial reconstruction has been explored. A laser scanning system is used to collect the 3D discrete point data of the facial model, which will be cut up by their characteristics and curvature in order to make a 3D face reconstruction. The maximum reconstructive error is 0.2174mm. Application results indicate that the proposed method is quite satisfactory for facial reconstructive surgery, rehabilitation design and plastic surgery.

scholarly journals HYBRID 3D PRINTER FOR LAYER-BY-LAYER FORMATION OF STRUCTURES WITH CONDUCTIVE TOPOLOGY

2021 ◽  
Vol 8 ◽  
pp. 40-46
Author(s):  
Victor P. Bessmeltsev ◽  
Nikolay B. Goloshevsky ◽  
Denis H. Katasonov
Keyword(s):  
Laser Scanning ◽  
Three Dimensional ◽  
Recording System ◽  
Scanning System ◽  
3D Printer ◽  
Layer By Layer ◽  
Layer Formation ◽  
Formation Zone ◽  
Local Conductivity ◽  
Laser Scanning System

The paper presents the main characteristics and functionality of a hybrid 3D-printer created at the Institute of Automation and Electrometry SB RAS, containing a portal recording system with dispenser heads for digital inkjet printing and a laser scanning system for subsequent post-processing with precise alignment software. The formation zone is located on a mobile platform moving along the Z coordinate. This design makes it possible, by layer-by-layer additive synthesis, to form three-dimensional structures with given local conductivity.

scholarly journals Mapping Individual Tree Species and Vitality along Urban Road Corridors with LiDAR and Imaging Sensors: Point Density versus View Perspective

2018 ◽  
Vol 10 (9) ◽  
pp. 1403 ◽  
Author(s):  
Jianwei Wu ◽  
Wei Yao ◽  
Przemyslaw Polewski
Keyword(s):  
Tree Species ◽  
Urban Areas ◽  
Laser Scanning ◽  
Point Clouds ◽  
Airborne Lidar ◽  
Scanning System ◽  
Urban Road ◽  
Road Corridors ◽  
Laser Scanning System

To meet a growing demand for accurate high-fidelity vegetation cover mapping in urban areas toward biodiversity conservation and assessing the impact of climate change, this paper proposes a complete approach to species and vitality classification at single tree level by synergistic use of multimodality 3D remote sensing data. So far, airborne laser scanning system(ALS or airborne LiDAR) has shown promising results in tree cover mapping for urban areas. This paper analyzes the potential of mobile laser scanning system/mobile mapping system (MLS/MMS)-based methods for recognition of urban plant species and characterization of growth conditions using ultra-dense LiDAR point clouds and provides an objective comparison with the ALS-based methods. Firstly, to solve the extremely intensive computational burden caused by the classification of ultra-dense MLS data, a new method for the semantic labeling of LiDAR data in the urban road environment is developed based on combining a conditional random field (CRF) for the context-based classification of 3D point clouds with shape priors. These priors encode geometric primitives found in the scene through sample consensus segmentation. Then, single trees are segmented from the labelled tree points using the 3D graph cuts algorithm. Multinomial logistic regression classifiers are used to determine the fine deciduous urban tree species of conversation concern and their growth vitality. Finally, the weight-of-evidence (WofE) based decision fusion method is applied to combine the probability outputs of classification results from the MLS and ALS data. The experiment results obtained in city road corridors demonstrated that point cloud data acquired from the airborne platform achieved even slightly better results in terms of tree detection rate, tree species and vitality classification accuracy, although the tree vitality distribution in the test site is less balanced compared to the species distribution. When combined with MLS data, overall accuracies of 78% and 74% for tree species and vitality classification can be achieved, which has improved by 5.7% and 4.64% respectively compared to the usage of airborne data only.

Measurement of a Single Standing Tree Volume Based on Three-Dimensional Laser Scanner System

2014 ◽  
Vol 490-491 ◽  
pp. 1470-1474
Author(s):  
Jia Zhu Zheng
Keyword(s):  
Laser Scanning ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Scanning System ◽  
Standing Tree ◽  
Stand Volume ◽  
New Approach ◽  
Specific Process ◽  
Laser Scanning System ◽  
Shape And Size

With the application of the three-dimensional laser scanner, it makes possible that measure the shape and size of the sanding tree accurately. In this paper we put forward a new approach to reckon the volume of a single standing tree with three-dimensional laser scanner, explain the principle of the three-dimensional laser scanning system and how to establish the model of a single standing tree based on three-dimensional laser scanner and computer program. We have a test for a single standing tree volume with three-dimensional laser scanner, and also expatiate the specific process of reckoning the volume of a single standing tree with the model. As shown by the test, we can work out fast and exactly the single standing tree volume. If the approach can be apply on the measurement of stand volume, there has a great improvement in the precision and efficiency of measurement.

Assessment of facial asymmetry in growing subjects with a three-dimensional laser scanning system

2012 ◽  
Vol 15 (4) ◽  
pp. 237-244 ◽  
Author(s):  
J. Primozic ◽  
G. Perinetti ◽  
A. Zhurov ◽  
S. Richmond ◽  
M. Ovsenik
Keyword(s):  
Laser Scanning ◽  
Three Dimensional ◽  
Facial Asymmetry ◽  
Scanning System ◽  
Laser Scanning System
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