Development of Visual Measurement System Using Digital Still Camera

1998 ◽  
Author(s):  
Hiroyuki Ishida ◽  
Shoji Kobayashi
Keyword(s):  
Measurement System ◽  
Visual Measurement ◽  
Digital Still Camera

Online Calibration of Visual Measurement System Based on Industrial Robot

ROBOT ◽  
2011 ◽  
Vol 33 (3) ◽  
pp. 299-302 ◽  
Author(s):  
Yi WANG ◽  
Changjie LIU ◽  
Xueyou YANG ◽  
Shenghua YE
Keyword(s):  
Measurement System ◽  
Industrial Robot ◽  
Visual Measurement ◽  
Online Calibration

scholarly journals Visual Measurement System for Wheel–Rail Lateral Position Evaluation

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1297
Author(s):  
Viktor Skrickij ◽  
Eldar Šabanovič ◽  
Dachuan Shi ◽  
Stefano Ricci ◽  
Luca Rizzetto ◽  
...  
Keyword(s):  
Measurement System ◽  
Inertial Sensor ◽  
Low Cost ◽  
Image Point ◽  
Low Velocity ◽  
Point Selection ◽  
Lateral Direction ◽  
Initial Field ◽  
Visual Measurement ◽  
Track Geometry

Railway infrastructure must meet safety requirements concerning its construction and operation. Track geometry monitoring is one of the most important activities in maintaining the steady technical conditions of rail infrastructure. Commonly, it is performed using complex measurement equipment installed on track-recording coaches. Existing low-cost inertial sensor-based measurement systems provide reliable measurements of track geometry in vertical directions. However, solutions are needed for track geometry parameter measurement in the lateral direction. In this research, the authors developed a visual measurement system for track gauge evaluation. It involves the detection of measurement points and the visual measurement of the distance between them. The accuracy of the visual measurement system was evaluated in the laboratory and showed promising results. The initial field test was performed in the Vilnius railway station yard, driving at low velocity on the straight track section. The results show that the image point selection method developed for selecting the wheel and rail points to measure distance is stable enough for TG measurement. Recommendations for the further improvement of the developed system are presented.

A monocular visual measurement system for UAV probe-and-drogue autonomous aerial refueling

2018 ◽  
Vol 11 (2) ◽  
pp. 166-180 ◽  
Author(s):  
Long Xin ◽  
Delin Luo ◽  
Han Li
Keyword(s):  
Measurement System ◽  
Feature Matching ◽  
Perspective Transformation ◽  
High Accuracy ◽  
Noise Elimination ◽  
Aerial Refueling ◽  
Visual Measurement ◽  
Matching Algorithm ◽  
Content Type ◽  
Elimination Algorithm

PurposeThe purpose of this paper is to develop a monocular visual measurement system for autonomous aerial refueling (AAR) for unmanned aerial vehicle, which can process images from an infrared camera to estimate the pose of the drogue in the tanker with high accuracy and real-time performance.Design/methodology/approachMethods and techniques for marker detection, feature matching and pose estimation have been designed and implemented in the visual measurement system.FindingsThe simple blob detection (SBD) method is adopted, which outperforms the Laplacian of Gaussian method. And a novel noise-elimination algorithm is proposed for excluding the noise points. Besides, a novel feature matching algorithm based on perspective transformation is proposed. Comparative experimental results indicated the rapidity and effectiveness of the proposed methods.Practical implicationsThe visual measurement system developed in this paper can be applied to estimate the pose of the drogue with a fast speed and high accuracy and it is a feasible measurement strategy which will considerably increase the autonomy and reliability for AAR.Originality/valueThe SBD method is used to detect the features and a novel noise-elimination algorithm is proposed. Besides, a novel feature matching algorithm based on perspective transformation is proposed which is robust and accurate.

A Monocular Vision Measurement Algorithm Based on the Underwater Robot

2014 ◽  
Vol 532 ◽  
pp. 165-169 ◽  
Author(s):  
Tao Liu ◽  
Lei Wan ◽  
Xing Wei Liang
Keyword(s):  
Measurement System ◽  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Mathematic Model ◽  
Monocular Vision ◽  
Underwater Robot ◽  
Visual Measurement ◽  
Vision Measurement ◽  
Measurement Algorithm

A monocular vision measurement system was proposed based on the underwater robot, which used a single camera as visual sensor and used inertial navigation system to measure position and attitude. In this paper, the processing of underwater target images and the parameter calibration algorithm for visual measurement system were discussed, and then the visual measurement mathematic model of underwater robot was derived using the pose information of the inertial navigation system. Vision measuring principle validation tests for underwater robot have been carried out to detect underwater targets. The experiments verify that the monocular vision measurement algorithm proposed for underwater robot is effective with a preferably accuracy.

Research on global calibration method for multi-camera visual measurement system

2016 ◽  
Author(s):  
Dongzhao Huang ◽  
Qiancheng Zhao ◽  
Yun Ou ◽  
Tianlong Yang
Keyword(s):  
Measurement System ◽  
Calibration Method ◽  
Visual Measurement ◽  
Global Calibration

scholarly journals A New Method to Calibrate Robot Visual Measurement System

2013 ◽  
Vol 5 ◽  
pp. 548509 ◽  
Author(s):  
Yali Wang ◽  
Zhenzhong Wei ◽  
Mingwei Shao ◽  
Guangjun Zhang
Keyword(s):  
Measurement System ◽  
New Method ◽  
Visual Measurement
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