Lane Recognition System for Machine Vision

Author(s):  
Yong Qin ◽  
Jiansheng Peng ◽  
Hanxiao Zhang ◽  
Jianhua Nong
2019 ◽  
Vol 1353 ◽  
pp. 012054 ◽  
Author(s):  
A N Kokoulin ◽  
A A Yuzhakov ◽  
D A Kiryanov ◽  
N Stanisavljevic ◽  
B Batinic

2020 ◽  
Vol 1518 ◽  
pp. 012058
Author(s):  
Chen Liang ◽  
Sun Hanxv ◽  
Jia Qingxuan ◽  
Zhang Yanheng ◽  
Cao Shaozhong ◽  
...  

2013 ◽  
Vol 284-287 ◽  
pp. 2075-2079 ◽  
Author(s):  
Jia Shing Sheu ◽  
Hao Chu ◽  
Chun Chi Liu

Purpose of this paper raise a vehicle lane departure warning system based on the machine vision. It does not need to use the parameters of the camera which do the road marking recognition system installed in the interior of the camera by algorithms. Regarding the time line of the intelligent transport system, it is to solve the various problems possibly arising from driving on the road. This system is mainly for the warning of the unexpected departure of vehicle. The method is to use the digital camera to capture continuous images and identify the vehicle moving direction by the detection of the left and right markings, as well as forecast the driving direction of the vehicle for the reference of vehicle departure warning. In this paper, the used algorithms include brightness adjustment, binarization, dilation, erosion, and edge detection image processing techniques.


2013 ◽  
Vol 380-384 ◽  
pp. 3694-3697
Author(s):  
Guang Wei Wang ◽  
Ji Ping Zhang

Based on machine vision principle, automatic recognition system is advanced to distinguish hub classification with different types. Firstly, the dark room environment is set up to eliminate the environmental interference. Secondly, the height of automobile hub is obtained with the grating ruler, and the diameter of automobile hub is achieved through image contours analysis. Finally, hub classification is accomplished through the Hu moment analysis of hub holes. Experiments show that the system can meet the needs of recognition online for hub classification, which can improve productivity effectively, and is of great application value.


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