Design and Implementation of Machine Vision Automatic Laser Scanning System

2011 ◽  
Vol 201-203 ◽  
pp. 940-943
Author(s):  
Heng Feng Yan ◽  
Jun Shao ◽  
Ji Min Chen
Keyword(s):  
Machine Vision ◽  
Reference Point ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Scanning System ◽  
Design And Implementation ◽  
Coordination Systems ◽  
Specific Position ◽  
Laser Scanning System

This paper introduces a solution for laser scanning system, which utilizes machine vision technology. It includes algorithm for positioning and matrix for scanning control. The system can be used to detect an object and laser mark on specific position. This work explains how to use one CCD to catch an object’s position variation relative to a reference point, and how to translate the different coordination systems for laser scanner etc.

Design of Light-Small Mobile 3D Laser Measurement System

2013 ◽  
Vol 405-408 ◽  
pp. 3032-3036
Author(s):  
Yi Bo Sun ◽  
Xin Qi Zheng ◽  
Zong Ren Jia ◽  
Gang Ai
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Digital Camera ◽  
Scanning System ◽  
Point Cloud Data ◽  
3D Laser Scanning ◽  
Large Area ◽  
Cloud Data ◽  
Laser Scanning System

At present, most of the commercial 3D laser scanning measurement systems do work for a large area and a big scene, but few shows their advantage in the small area or small scene. In order to solve this shortage, we design a light-small mobile 3D laser scanning system, which integrates GPS, INS, laser scanner and digital camera and other sensors, to generate the Point Cloud data of the target through data filtering and fusion. This system can be mounted on airborne or terrestrial small mobile platform and enables to achieve the goal of getting Point Cloud data rapidly and reconstructing the real 3D model. Compared to the existing mobile 3D laser scanning system, the system we designed has high precision but lower cost, smaller hardware and more flexible.

Calibration of a multiple axes 3-D laser scanning system consisting of robot, portable laser scanner and turntable

Optik ◽  
2011 ◽  
Vol 122 (4) ◽  
pp. 324-329 ◽  
Author(s):  
Jianfeng Li ◽  
Ming Chen ◽  
Xuebi Jin ◽  
Yu Chen ◽  
Zhiyong Dai ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Laser Scanner ◽  
Scanning System ◽  
Laser Scanning System

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.

scholarly journals IMPACT OF DIFFERENT TRAJECTORIES ON EXTRINSIC SELF-CALIBRATION FOR VEHICLE-BASED MOBILE LASER SCANNING SYSTEMS

2019 ◽  
Vol XLII-2/W16 ◽  
pp. 119-125
Author(s):  
M. Hillemann ◽  
J. Meidow ◽  
B. Jutzi
Keyword(s):  
Laser Scanning ◽  
Laser Scanner ◽  
Relative Orientation ◽  
Scanning System ◽  
Confined Space ◽  
Data Set ◽  
Self Calibration ◽  
Yaw Angle ◽  
Laser Scanning System ◽  
The Impact

<p><strong>Abstract.</strong> The extrinsic calibration of a Mobile Laser Scanning system aims to determine the relative orientation between a laser scanner and a sensor that estimates the exterior orientation of the sensor system. The relative orientation is one component that limits the accuracy of a 3D point cloud which is captured with a Mobile Laser Scanning system. The most efficient way to determine the relative orientation of a Mobile Laser Scanning system is using a self-calibration approach as this avoids the need to perform an additional calibration beforehand. Instead, the system can be calibrated automatically during data acquisition. The entropy-based self-calibration fits into this category and is utilized in this contribution. In this contribution, we analyze the impact of four different trajectories on the result of the entropy-based self-calibration, namely (i) uni-directional, (ii) ortho-directional, (iii) bi-directional, and (iv) multi-directional trajectory. Theoretical considerations are supported by experiments performed with the publicly available <i>MLS 1 – TUM City Campus</i> data set. The investigations show that strong variations of the yaw angle in a confined space or bidirectional trajectories as well as the variation of the height of the laser scanner are beneficial for calibration.</p>

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.

scholarly journals LOW COST MULTI-SENSOR ROBOT LASER SCANNING SYSTEM AND ITS ACCURACY INVESTIGATIONS FOR INDOOR MAPPING APPLICATION

2017 ◽  
Vol XLII-2/W8 ◽  
pp. 83-85 ◽  
Author(s):  
C. Chen ◽  
X. Zou ◽  
M. Tian ◽  
J. Li ◽  
W. Wu ◽  
...  
Keyword(s):  
Inertial Measurement Unit ◽  
Laser Scanning ◽  
Low Cost ◽  
Laser Scanner ◽  
Ground Truth ◽  
Measurement Unit ◽  
Scanning System ◽  
Ground Truth Data ◽  
Multiple Sensor ◽  
Laser Scanning System

In order to solve the automation of 3D indoor mapping task, a low cost multi-sensor robot laser scanning system is proposed in this paper. The multiple-sensor robot laser scanning system includes a panorama camera, a laser scanner, and an inertial measurement unit and etc., which are calibrated and synchronized together to achieve simultaneously collection of 3D indoor data. Experiments are undertaken in a typical indoor scene and the data generated by the proposed system are compared with ground truth data collected by a TLS scanner showing an accuracy of 99.2% below 0.25 meter, which explains the applicability and precision of the system in indoor mapping applications.

scholarly journals Design and Evaluation of a Permanently Installed Plane-Based Calibration Field for Mobile Laser Scanning Systems

2020 ◽  
Vol 12 (3) ◽  
pp. 555 ◽  
Author(s):  
Erik Heinz ◽  
Christoph Holst ◽  
Heiner Kuhlmann ◽  
Lasse Klingbeil
Keyword(s):  
Reference Point ◽  
Laser Scanning ◽  
Point Clouds ◽  
Measurement Unit ◽  
Scanning System ◽  
Control Points ◽  
Lever Arm ◽  
Laser Scanning System ◽  
The Impact ◽  
Scanning Systems

Mobile laser scanning has become an established measuring technique that is used for many applications in the fields of mapping, inventory, and monitoring. Due to the increasing operationality of such systems, quality control w.r.t. calibration and evaluation of the systems becomes more and more important and is subject to on-going research. This paper contributes to this topic by using tools from geodetic configuration analysis in order to design and evaluate a plane-based calibration field for determining the lever arm and boresight angles of a 2D laser scanner w.r.t. a GNSS/IMU unit (Global Navigation Satellite System, Inertial Measurement Unit). In this regard, the impact of random, systematic, and gross observation errors on the calibration is analyzed leading to a plane setup that provides accurate and controlled calibration parameters. The designed plane setup is realized in the form of a permanently installed calibration field. The applicability of the calibration field is tested with a real mobile laser scanning system by frequently repeating the calibration. Empirical standard deviations of <1 ... 1.5 mm for the lever arm and <0.005 ∘ for the boresight angles are obtained, which was priorly defined to be the goal of the calibration. In order to independently evaluate the mobile laser scanning system after calibration, an evaluation environment is realized consisting of a network of control points as well as TLS (Terrestrial Laser Scanning) reference point clouds. Based on the control points, both the horizontal and vertical accuracy of the system is found to be < 10 mm (root mean square error). This is confirmed by comparisons to the TLS reference point clouds indicating a well calibrated system. Both the calibration field and the evaluation environment are permanently installed and can be used for arbitrary mobile laser scanning systems.

Fast Dispersive Laser Scanner by Using Digital Micro Mirror Arrays

2014 ◽  
Vol 2 (2) ◽  
Author(s):  
Salih K. Kalyoncu ◽  
Rasul Torun ◽  
Yuewang Huang ◽  
Qiancheng Zhao ◽  
Ozdal Boyraz
Keyword(s):  
Laser Scanning ◽  
Imaging System ◽  
Laser Scanner ◽  
Scanning System ◽  
Current State ◽  
Scan Rate ◽  
Mapping Technology ◽  
Mems Technology ◽  
Laser Scanning System ◽  
State Of Art

We demonstrate a fast dispersive laser scanning system by using MEMS digital micro-mirror arrays technology. The proposed technique utilizes real-time dispersive imaging system, which captures spectrally encoded images with a single photodetector at pulse repetition rate via space-to-time mapping technology. Wide area scanning capability is introduced by using individually addressable micro-mirror arrays as a beam deflector. Experimentally, we scanned ∼20 mm2 at scan rate of 5 kHz with ∼150 μm lateral and ∼160 μm vertical resolution that can be controlled by using 1024 × 768 mirror arrays. With the current state of art MEMS technology, fast scanning with <30 μs and resolution down to single mirror pitch size of 10.8 μm is also achievable.

scholarly journals A CALIBRATION METHOD OF TWO MOBILE LASER SCANNING SYSTEM UNITS FOR RAILWAY MEASUREMENT

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 277-283
Author(s):  
K. Yamamoto ◽  
T. Chen ◽  
N. Yabuki
Keyword(s):  
Laser Scanning ◽  
Laser Scanner ◽  
Point Clouds ◽  
Calibration Method ◽  
Railway Vehicle ◽  
Scanning System ◽  
Mean Square ◽  
Least Mean Square ◽  
Linear Type ◽  
Laser Scanning System

Abstract. This paper proposes a methodology to calibrate the laser scanner of a Mobile Laser Scanning System (MLS) with the trajectory of the other MLS, both of which are installed directly above the top of both rails. Railway vehicle laser scanners systems of MLS are able to obtain 3D scanning map of the rail environment. In order to adapt the actual site condition of the maintenance works, we propose a calibration method with non-linear Least Mean Square calculation which use point clouds around poles along rails and sleepers of rails as cylindrical and planner constraints. The accuracy of 0.006 m between two laser point clouds can be achieved with this method. With the common planar and cylinder condition Leven-Marquardt method has been applied for this method. This method can execute without a good initial value for the extrinsic parameter and can shorten the processing time compared with the linear type of Least Mean Square method.

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