scholarly journals Methodology for GD&T verification in an innovative benchmark part for contactless scanning systems

2020 ◽  
Vol 48 (4) ◽  
pp. 899-907
Author(s):  
Vimal Pathak ◽  
Ashish Srivastava ◽  
Sumit Gupta
Keyword(s):  
Performance Evaluation ◽  
Laser Scanning ◽  
Industrial Applications ◽  
Scanning System ◽  
Alignment Method ◽  
Engineering Software ◽  
Innovative Method ◽  
Contactless System ◽  
Geometrical Dimensioning And Tolerancing ◽  
Scanning Systems

This paper presents an innovative method to investigate the accuracy and capability of contactless laser scanning systems in terms of geometrical dimensioning and tolerancing (GD&T) control. The current work proposes a standard benchmark part with typical features conforming to different families of GD&T. The benchmark part designed consists of various canonical features widely used in an engineering and industrial applications. Further, the adopted approach includes the methodology for comparison of geometry using a common alignment method for contactless scanning system and a CMM. In addition, proposal of different scanning orientation methods for contactless system is also realized. Surface reconstruction of the benchmark model is achieved using different reverse engineering software, and results are analyzed to study the correlation between different geometries of contact and contactless system. Considering the contact based measurement as a reference, different models developed were analyzed and compared in terms of geometrical and dimensional tolerance. The proposal of standard benchmark part and methodology for GD&T verification will provide a simple and effective way of performance evaluation for various contactless laser-scanning systems in terms of deviations.

Boresight alignment method for mobile laser scanning systems

2010 ◽  
Vol 4 (1) ◽  
Author(s):  
P. Rieger ◽  
N. Studnicka ◽  
M. Pfennigbauer ◽  
G. Zach
Keyword(s):  
Laser Scanning ◽  
Alignment Method ◽  
Scanning Systems

Telecentric line scanning system based on a ring surface mirror for inline processes

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Florian Loosen ◽  
Norbert Lindlein ◽  
Klaus Donner
Keyword(s):  
Optical System ◽  
Industrial Applications ◽  
Optical Systems ◽  
Scanning System ◽  
New Approach ◽  
Line Scanning ◽  
Difficult Challenge ◽  
Inline Measurement ◽  
Working Distance ◽  
Scanning Systems

AbstractIn many industrial applications, an inline measurement of a production process poses a difficult challenge for any optical system. Therefore, telecentric optical systems are being used to ensure an independence of the magnification of the object from the working distance. Usually, telecentric optical systems are impractical for inline applications with large objects due to the size of the telecentric optical system, which has to be larger than the object. Therefore, a new approach of telecentric line scanning systems was developed to gain access to this advantage.

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.

scholarly journals Advantages of laser scanning systems for topographical surveys in roads engineering

2016 ◽  
Vol 11 (2) ◽  
pp. 153-159 ◽  
Author(s):  
Vladislovas Česlovas Aksamitauskas ◽  
Vilma Kriaučiūnaitė-Neklejonovienė ◽  
Donatas Rekus ◽  
Birutė Ruzgienė ◽  
Virgaudas Puodžiukas ◽  
...  
Keyword(s):  
Rural Areas ◽  
Laser Scanning ◽  
Real Life ◽  
Ground Surface ◽  
Scanning System ◽  
Control Points ◽  
Processing Level ◽  
Technological Characteristics ◽  
Laser Scanning System ◽  
Scanning Systems

The objective of the work is to assess the advantages of the laser scanning system in the topographical surveys. The analysis and assessment of two methods, the classical total station method and mobile laser scanning are presented in the article. The results of the performed investigations have been compared, the technological characteristics and accuracy of the investigations have been presented, as well as the procedure of the topographic image formation, possibilities and efficiency have been assessed. The real-life topographic survey’s projects on the analysis of roads and streets (components) have been used where the ground surface, the components of the roads and the surrounding objects have been analysed. The analysis provides information on the availability and potential of the investigated methods and the final attained accuracy due to a certain number of the control points. The obtained results indicate that the main differences of the methods revealed when compiling the topographical images for urban or rural areas are the speed of measurements and data processing, level of detail of the results and various possibilities of the method implementation.

scholarly journals QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATA

2016 ◽  
Vol III-1 ◽  
pp. 41-47 ◽  
Author(s):  
P. Rönnholm ◽  
X. Liang ◽  
A. Kukko ◽  
A. Jaakkola ◽  
J. Hyyppä
Keyword(s):  
Laser Scanning ◽  
Point Clouds ◽  
Quality Analysis ◽  
Scanning System ◽  
Forest Environment ◽  
Analysis Process ◽  
Ground Point ◽  
Aerial Vehicle ◽  
Laser Scanning System ◽  
Scanning Systems

Backpack laser scanning systems have emerged recently enabling fast data collection and flexibility to make measurements also in areas that cannot be reached with, for example, vehicle-based laser scanners. Backpack laser scanning systems have been developed both for indoor and outdoor use. We have developed a quality analysis process in which the quality of backpack laser scanning data is evaluated in the forest environment. The reference data was collected with an unmanned aerial vehicle (UAV) laser scanning system. The workflow included noise filtering, division of data into smaller patches, ground point extraction, ground data decimation, and ICP registration. As a result, we managed to observe the misalignments of backpack laser scanning data for 97 patches each including data from circa 10 seconds period of time. This evaluation revealed initial average misalignments of 0.227 m, 0.073 and -0.083 in the easting, northing and elevation directions, respectively. Furthermore, backpack data was corrected according to the ICP registration results. Our correction algorithm utilized the time-based linear transformation of backpack laser scanning point clouds. After the correction of data, the ICP registration was run again. This revealed remaining misalignments between the corrected backpack laser scanning data and the original UAV data. We found average misalignments of 0.084, 0.020 and -0.005 meters in the easting, northing and elevation directions, respectively.

Application of Reverse Engineering Technology on Beverage Packaging

2012 ◽  
Vol 271-272 ◽  
pp. 782-786
Author(s):  
Chun Sheng Tao ◽  
Qiao Bai ◽  
Song Bai Ma
Keyword(s):  
Reverse Engineering ◽  
Point Cloud ◽  
Laser Scanning ◽  
Scanning System ◽  
Point Cloud Data ◽  
Engineering Technology ◽  
Cloud Data ◽  
Engineering Software ◽  
Laser Scanning System ◽  
Beverage Packaging

This article briefly introduces the concept, processes and key technologies of reverse engineering. It demonstrate the feasibility and significance of application of reverse engineering technology on beverage packaging by rebuilding the model for a beverage bottle with complex geometries: firstly, acquiring point cloud data of the beverage bottle by 3D laser scanning system; then processing point cloud data and materializing model by using reverse engineering software; finally, rebuilding CAD model. The application could provide a new method of designing beverage packaging.

scholarly journals Deep Learning-Based Point-Scanning Super-Resolution Imaging

2019 ◽  
Author(s):  
Linjing Fang ◽  
Fred Monroe ◽  
Sammy Weiser Novak ◽  
Lyndsey Kirk ◽  
Cara Rae Schiavon ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Resolution ◽  
Laser Scanning ◽  
Super Resolution ◽  
Training Data ◽  
Tissue Imaging ◽  
Scanning System ◽  
Pixel Resolution ◽  
Scanning Systems ◽  
Scanning Electron

Point scanning imaging systems (e.g. scanning electron or laser scanning confocal microscopes) are perhaps the most widely used tools for high resolution cellular and tissue imaging. Like all other imaging modalities, the resolution, speed, sample preservation, and signal-to-noise ratio (SNR) of point scanning systems are difficult to optimize simultaneously. In particular, point scanning systems are uniquely constrained by an inverse relationship between imaging speed and pixel resolution. Here we show these limitations can be mitigated via the use of deep learning-based super-sampling of undersampled images acquired on a point-scanning system, which we termed point-scanning super-resolution (PSSR) imaging. Oversampled, high SNR ground truth images acquired on scanning electron or Airyscan laser scanning confocal microscopes were "crappified" to generate semi-synthetic training data for PSSR models that were then used to restore real-world undersampled images. Remarkably, our EM PSSR model could restore undersampled images acquired with different optics, detectors, samples, or sample preparation methods in other labs. PSSR enabled previously unattainable 2 nm resolution images with our serial block face scanning electron microscope system. For fluorescence, we show that undersampled confocal images combined with a multiframe PSSR model trained on Airyscan timelapses facilitates Airyscan-equivalent spatial resolution and SNR with ~100x lower laser dose and 16x higher frame rates than corresponding high-resolution acquisitions. In conclusion, PSSR facilitates point-scanning image acquisition with otherwise unattainable resolution, speed, and sensitivity.

scholarly journals QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATA

2016 ◽  
Vol III-1 ◽  
pp. 41-47 ◽  
Author(s):  
P. Rönnholm ◽  
X. Liang ◽  
A. Kukko ◽  
A. Jaakkola ◽  
J. Hyyppä
Keyword(s):  
Laser Scanning ◽  
Point Clouds ◽  
Quality Analysis ◽  
Scanning System ◽  
Forest Environment ◽  
Analysis Process ◽  
Ground Point ◽  
Aerial Vehicle ◽  
Laser Scanning System ◽  
Scanning Systems

Backpack laser scanning systems have emerged recently enabling fast data collection and flexibility to make measurements also in areas that cannot be reached with, for example, vehicle-based laser scanners. Backpack laser scanning systems have been developed both for indoor and outdoor use. We have developed a quality analysis process in which the quality of backpack laser scanning data is evaluated in the forest environment. The reference data was collected with an unmanned aerial vehicle (UAV) laser scanning system. The workflow included noise filtering, division of data into smaller patches, ground point extraction, ground data decimation, and ICP registration. As a result, we managed to observe the misalignments of backpack laser scanning data for 97 patches each including data from circa 10 seconds period of time. This evaluation revealed initial average misalignments of 0.227 m, 0.073 and -0.083 in the easting, northing and elevation directions, respectively. Furthermore, backpack data was corrected according to the ICP registration results. Our correction algorithm utilized the time-based linear transformation of backpack laser scanning point clouds. After the correction of data, the ICP registration was run again. This revealed remaining misalignments between the corrected backpack laser scanning data and the original UAV data. We found average misalignments of 0.084, 0.020 and -0.005 meters in the easting, northing and elevation directions, respectively.

Sign in / Sign up

Export Citation Format

Share Document