Stereo vision–based non-contact dynamic measurement method for vehicle braking time sequence

2018 ◽  
Vol 233 (11) ◽  
pp. 2912-2928
Author(s):  
Libin Zhang ◽  
Dao Wu ◽  
Hongying Shan ◽  
Lele Zhang
Keyword(s):  
Stereo Vision ◽  
Measurement Method ◽  
High Efficiency ◽  
Low Cost ◽  
Three Dimensional ◽  
Time Sequence ◽  
Vision Measurement ◽  
Binocular Stereo Vision ◽  
Marquardt Algorithm ◽  
Binocular Stereo

The braking stability of semi-trailer train is directly related to the safety of driving. The braking time sequence of vehicle in braking process directly determines the braking stability of the vehicle. To overcome the limitations of the existing technology, this paper proposes a novel non-contact vehicle braking time sequence measurement method. The proposed method is based on binocular stereo vision that has high precision, high efficiency and low cost. First, the binocular stereo vision measurement principle is introduced, the camera is calibrated by three-dimensional target and the Levenberg–Marquardt algorithm is used to optimize the calibration parameters. Then, a series of image processing techniques are used to extract the wheel marker and perform three-dimensional coordinate reconstruction. Finally, the universality and the applicability of the proposed method are verified by conducting repetitive experiments and accuracy experiments for the same vehicle and different types of vehicles according to the designed experimental process and the established evaluation index. The experimental results show that the method proposed in this paper can achieve fast detection, with high accuracy and good repeatability. Moreover, the method can be extended to various types of vehicles.

Baggage Specification Detection Based on the Binocular Vision

2013 ◽  
Vol 278-280 ◽  
pp. 861-865
Author(s):  
Qing Ji Gao ◽  
Lu Yang
Keyword(s):  
Stereo Vision ◽  
Stereo Matching ◽  
Three Dimensional ◽  
Detection Algorithm ◽  
Epipolar Constraint ◽  
Middle Point ◽  
Vision Measurement ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Stereo Vision Measurement

To the baggage specification automatically detection problem of self-service bag drop system, a baggage size detection algorithm based on stereo vision is proposed. The algorithm is based on binocular stereo vision measurement principle. Firstly, the canny edges of baggage image are extracted as the feature points. With the disparity gradient constraint and epipolar constraint, Stereo matching algorithm based on edge features is proposed, meanwhile, the two images play a symmetric role to ensure the reliability of matching in the matching process. The coordinates of the three dimensional points are derived with approximation of the middle point of the common perpendicular line in different planes. Experimental results show that the proposed algorithm can detect the baggage specification with appropriate accuracy.

System Design of Crane Robot Based on Binocular Stereo Vision

2013 ◽  
Vol 303-306 ◽  
pp. 1691-1694
Author(s):  
Zhi Kun Chen ◽  
Hong Yan Wang ◽  
Wen Hui Wang ◽  
Fu Bin Wang
Keyword(s):  
Stereo Vision ◽  
Production Efficiency ◽  
High Efficiency ◽  
Vision System ◽  
Three Dimensional ◽  
System Structure ◽  
Mature Stage ◽  
Security Risks ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

In order to improve the safety, high efficiency and stability in the process of the crane hoisting, this paper applied binocular stereo vision technology which has developed into a rather mature stage recently. Binocular stereo vision system could efficiently identify and accurately position various targets, so that it could decrease the crane driver’s working intensity, reduce security risks and improve the production efficiency. In order to experiments was convenient, developing the crane robot system could simulate the processes of crane work, establishing the relevant system structure model for the motion. According to the three-dimensional measuring principle of binocular stereo vision, this paper is proposed to identify and position for the targets, and experimental results show the error is ±10mm.

scholarly journals High-Accuracy Recognition and Localization of Moving Targets in an Indoor Environment Using Binocular Stereo Vision

2021 ◽  
Vol 10 (4) ◽  
pp. 234
Author(s):  
Jing Ding ◽  
Zhigang Yan ◽  
Xuchen We
Keyword(s):  
Stereo Vision ◽  
Stereo Matching ◽  
Three Dimensional ◽  
Target Localization ◽  
Parallel Structure ◽  
Moving Target ◽  
Target Area ◽  
Moving Targets ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

To obtain effective indoor moving target localization, a reliable and stable moving target localization method based on binocular stereo vision is proposed in this paper. A moving target recognition extraction algorithm, which integrates displacement pyramid Horn–Schunck (HS) optical flow, Delaunay triangulation and Otsu threshold segmentation, is presented to separate a moving target from a complex background, called the Otsu Delaunay HS (O-DHS) method. Additionally, a stereo matching algorithm based on deep matching and stereo vision is presented to obtain dense stereo matching points pairs, called stereo deep matching (S-DM). The stereo matching point pairs of the moving target were extracted with the moving target area and stereo deep matching point pairs, then the three dimensional coordinates of the points in the moving target area were reconstructed according to the principle of binocular vision’s parallel structure. Finally, the moving target was located by the centroid method. The experimental results showed that this method can better resist image noise and repeated texture, can effectively detect and separate moving targets, and can match stereo image points in repeated textured areas more accurately and stability. This method can effectively improve the effectiveness, accuracy and robustness of three-dimensional moving target coordinates.

The Technology of Circular Parts Precise Measurement Based on Binocular Calibration

2013 ◽  
Vol 333-335 ◽  
pp. 199-206
Author(s):  
Chuan Wang ◽  
Jie Yang ◽  
Yan Wei Zhou
Keyword(s):  
Stereo Vision ◽  
Image Matching ◽  
Precise Measurement ◽  
Three Dimensional ◽  
Epipolar Constraint ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Analytic Expression ◽  
Lm Algorithm ◽  
Calibration Plane

A method of measuring the radius of circular parts by binocular stereo vision technology is proposed. First of all the interior and exterior parameters of cameras are acquired by the camera calibration technology. Then the epipolar constraint can be calculated which contains the calibrated information. The image matching which uses the epipolar constraint is done to find the matching points. The three dimensional (3D) coordinates of edges points are reconstructed through trigonometry reconstruction. At last the analytic expression of the plane in which the circle lies and the circles radius are calculated in two steps by Levenberg-Marquardt (LM) algorithm. The proposed method does not require the prior knowledge of position between the measuring plane and the calibration plane which monocular measurement needs. Experimental results show that the measurement has high precision.

The Calibration of Binocular Stereo Vision for the Camera Based on Machine Vision Measurement

2014 ◽  
Vol 701-702 ◽  
pp. 361-366
Author(s):  
Xiao Jing Yang ◽  
Si Qi Wang
Keyword(s):  
Machine Vision ◽  
Camera Calibration ◽  
Stereo Vision ◽  
Vision System ◽  
Calibration Target ◽  
Vision Measurement ◽  
Matlab Program ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Left And Right

Camera calibration is the most important stage of machine vision measurement. The principle and method of camera calibration for binocular stereo vision system are introduced and the left and right CCD are respectively calibrated by using the prepared calibration target and the MATLAB program. Then internal and external camera parameters are obtained by the calibration experiments. The experimental results show that the calibration results have high precision.

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