scholarly journals Research on Quantitative Calculation Method of Lane-Line Region of Interest and Structural Constraints in Constant Speed Cruise Mode

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 17350-17364
Author(s):  
Jincao Zhou ◽  
Weiping Fu ◽  
Wei Niu
Keyword(s):  
Calculation Method ◽  
Region Of Interest ◽  
Constant Speed ◽  
Structural Constraints ◽  
Quantitative Calculation ◽  
Line Region ◽  
Lane Line

scholarly journals Quantitative calculation method to compare the reactive sites of different methyl esters

Fuel ◽  
2022 ◽  
Vol 307 ◽  
pp. 121228
Author(s):  
Zi-hao Ni ◽  
Fa-she Li ◽  
Hua Wang ◽  
Quan Xiao ◽  
Yong-hui Wu ◽  
...  
Keyword(s):  
Calculation Method ◽  
Methyl Esters ◽  
Quantitative Calculation

An Evaluation Scheme of Skywave Radar Coverage of Ship Target Based on GRG

2013 ◽  
Vol 427-429 ◽  
pp. 888-891
Author(s):  
S.H. Liu ◽  
W. Sheng ◽  
X.H. Zhang
Keyword(s):  
Quantitative Evaluation ◽  
Analytical Hierarchy Process ◽  
Calculation Method ◽  
Quantitative Calculation ◽  
Evaluation Scheme ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Hierarchy Process

An evaluation scheme of skywave radar coverage of ship target is researched. On the basis of fifteen kinds of indexes of the skywave radar coverage, a sort of model of coverage quantitative evaluation with three levels of hiberarchy is established by means of the modified analytical hierarchy process (AHP) based on grey relational grade (GRG), the quantitative calculation method of all level indexes is discussed, and the effectiveness ofthe model is verified. This method solve the problem in AHP effectively. The result shows that the evaluation scheme of skywave radar coverage is feasibility.

Influence of distribution parameters of rough surface asperities on the contact fatigue life of gears

2019 ◽  
Vol 234 (6) ◽  
pp. 821-832
Author(s):  
Wen Yuqin ◽  
Tang Jinyuan ◽  
Zhou Wei
Keyword(s):  
Fatigue Life ◽  
Calculation Method ◽  
Contact Fatigue ◽  
Radius Of Curvature ◽  
Curvature Radius ◽  
Quantitative Calculation ◽  
Distribution Parameters ◽  
Contact Fatigue Life ◽  
The Mean ◽  
Meshing Process

The influence of the distribution parameters of asperities, i.e. mean radius of curvature of asperities β, density of asperities η, and standard deviation of asperity heights σ, on the contact fatigue life of gears is first studied in this paper. Based on the elastic–plastic contact model of asperities, the surface contact pressure and subsurface stress field during the gear meshing process are calculated by the iterative calculation method. According to the multi-axis fatigue life model, the calculation method of fatigue life under different distribution parameters of asperities in the gear meshing process is obtained. The quantitative calculation results of fatigue life and measured distribution parameters of asperities are analyzed. The relationship between the fatigue life and the distribution parameters of asperities on the measured gear surface is calculated and analyzed quantitatively. The following conclusions are drawn: (1) when the roughness value Ra is less than 0.3 µm, the contact fatigue life of gears with rough surfaces is close to that of smooth surfaces; (2) when the roughness value Ra ranges from 0.5 µm to 0.9 µm, the contact fatigue failure occurs near the surface (micro-pitting); (3) under the same roughness value Ra, the contact fatigue life of the gear decreases with the decrease of the density of the asperity and the mean curvature radius of the asperity. The mean radius of curvature of the asperity has a greater influence on the contact fatigue life than the density of the asperity.

Research on Lane Departure Warning System

2014 ◽  
Vol 598 ◽  
pp. 731-735 ◽  
Author(s):  
Hui Bao Yang
Keyword(s):  
Hough Transform ◽  
Warning System ◽  
Region Of Interest ◽  
Lane Departure Warning ◽  
Linear Mode ◽  
Detection And Tracking ◽  
Lane Departure ◽  
Calculation Parameter ◽  
Lane Line ◽  
Lane Position

Lane departure warning system includes lane identification and lane departure determination. Lane identification is crucial for lane departure warning system. In this paper, A linear mode which can only bring out small distance error and angle error is used to detect lane boundaries. A region of interest (ROI) appropriate is set to reduce nonessential cost of computation. According to the characteristics of lane position, we improve the Hough transform, reduce the detection and tracking transform angle and raise the speed of calculation. Parameter angle form Hough transform is used to lane departure determination, this method does not calibrate the camera and can get the lane departure rate. Experiments show that the system is well to detect and track the lane line and give alarm correctly.

scholarly journals An Assessment on Reliability of Quantitative Calculation Method for Obtaining Volume Fractions of Texture Components With the Reduced ODF

1988 ◽  
Vol 10 (1) ◽  
pp. 59-65 ◽  
Author(s):  
L. Zuo ◽  
X. Zhao ◽  
J. Xu ◽  
Z. Liang
Keyword(s):  
Quantitative Analysis ◽  
Calculation Method ◽  
Peak Height ◽  
Volume Fractions ◽  
Quantitative Calculation ◽  
Cubic Materials

The reliability and the accuracy of a quantitative calculation method for obtaining volume fractions of texture components of cubic materials were verified for the reduced ODFs terminated at l max = 22 and at l max = 16. It is concluded that an integrated width of r = ±10° around selected ideal orientations may be used in quantitative analysis of texture components. It is also shown that the conventional peak height method, which does not consider volume fractions, can only roughly give informations about texture components.

Study on Urban Expressway Lane Mark Detection in Special Conditions

2011 ◽  
Vol 305 ◽  
pp. 164-167
Author(s):  
Xin Sheng He ◽  
Shi Shi Wang ◽  
Zhi Yong Cai ◽  
Dong Yun Wang
Keyword(s):  
Warning System ◽  
Region Of Interest ◽  
Detection Algorithm ◽  
Gray Level ◽  
Test Results ◽  
The Road ◽  
Wide Range ◽  
Lane Line ◽  
Image Pixels ◽  
Gray Level Histogram

Detection algorithm of lane line under the special condition is based on focal and difficult point of lane line departure warning system of computer vision. This article firstly deals with the image compression and grayscale, establishes reasonable region of interest, and remove the non-road information in the image; Then we proceed the probabilistic and statistical computing for the image pixels, draw the gray level histogram. By analyzing the dynamic gray level histogram, we identify the lane line and grey value of the road and automatically calculate the reasonable threshold to binarizate then denoise the images. Last we label the images to reach the goal of identification of lane line and establishment the space between lane line and vehicles. The test results show that: the algorithm mentioned in this paper can not only detect the lane line accurately in real time, but also it enjoys a wide range of applicability to provide reference for improvement of lane line departure warning system.

scholarly journals Research on Lane Detection Based on Global Search of Dynamic Region of Interest (DROI)

2020 ◽  
Vol 10 (7) ◽  
pp. 2543 ◽  
Author(s):  
Jianjun Hu ◽  
Songsong Xiong ◽  
Yuqi Sun ◽  
Junlin Zha ◽  
Chunyun Fu
Keyword(s):  
Region Of Interest ◽  
Global Search ◽  
Lane Detection ◽  
Vehicle Speed ◽  
Feature Points ◽  
The Road ◽  
Detection Approach ◽  
Polar Coordinate ◽  
Previous Frame ◽  
Lane Line

A novel lane detection approach, based on the dynamic region of interest (DROI) selection in the horizontal and vertical safety vision, is proposed to improve the accuracy of lane detection in this paper. The curvature of each point on the edge of the road and the maximum safe distance, which are solved by the lane line equation and vehicle speed data of the previous frame, are used to accurately select the DROI at the current moment. Next, the global search of DROI is applied to identify the lane line feature points. Subsequently, the discontinuous points are processed by interpolation. To fulfill fast and accurate matching of lane feature points and mathematical equations, the lane line is fitted in the polar coordinate equation. The proposed approach was verified by the Caltech database, under the premise of ensuring real-time performance. The accuracy rate was 99.21% which is superior to other mainstream methods described in the literature. Furthermore, to test the robustness of the proposed method, it was tested in 5683 frames of complicated real road pictures, and the positive detection rate was 99.07%.

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