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Image detection method for 'black hole effect' at tunnel entrance

A black hole effect and image detection technology, which is applied in the field of traffic safety, can solve the problems of "black hole effect detection at the entrance of the tunnel without detection, detection of "black hole effect at the entrance of the tunnel", fire and explosion, etc.

Inactive Publication Date: 2015-04-22
CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST
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Problems solved by technology

For example, at 12:40 on April 14, 2011, in the Xiarong Drainage Tunnel with strong outdoor sunlight, an off-road vehicle was disturbed by the sudden change of light and darkness at the entrance. Trucks collide, 3 dead, 2 seriously injured in traffic accident
At 13:45 on March 1, 2013, at the entrance of Jinji Yanhou Tunnel, a coal truck was affected by the "black hole effect". Methanol trucks collided about 100 meters away and exploded, resulting in the death of 40 people and the destruction of many vehicles.
The focus of the above patents is either to improve the lighting conditions inside the tunnel, or to reflect the vehicle condition information at the entrance of the tunnel, but neither involves the detection of the "black hole effect" at the entrance of the tunnel, and in the prior art, there is no detection of the "black hole" at the entrance of the tunnel. effect" report

Method used

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  • Image detection method for 'black hole effect' at tunnel entrance

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Embodiment Construction

[0019] Below in conjunction with accompanying drawing and specific embodiment the present invention will be described in further detail:

[0020] The image detection method of the "black hole effect" at the entrance of the tunnel in this embodiment comprises the following steps:

[0021] 1) Obtain the original grayscale image of the tunnel entrance Im 1

[0022] In order to ensure that the acquired original image does not contain moving vehicles, outside the tunnel entrance, the camera is used to continuously shoot three color images of the scene near the entrance, and the original grayscale image Im is obtained after grayscale processing. 1_1 、Im 1_2 、Im 1_3 , after performing difference operation on any two of the original gray-scale images, the gray-scale mean value of the three obtained difference images is calculated respectively Val 1_1 , Val 1_2 , Val 1_3 , if and only if Val 1_1 , Val 1_2 , Val 1_3 less than the differential threshold Thed 1 , the wei...

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Abstract

The invention discloses an image detection method for 'black hole effect' at a tunnel entrance. The method is characterized in that visual feature information including gray level, gradient and specific value of interior and exterior of a tunnel are acquired through image analysis, and whether a highway tunnel entrance has the 'black hole effect' or severity of the 'black hole effect' is judged according to the visual feature information.

Description

technical field [0001] The invention relates to traffic safety technology, in particular to an image detection method for "black hole effect" at a tunnel entrance. Background technique [0002] In recent years, the ever-increasing number of tunnels has brought many impacts on traffic management and the driving environment, especially in long and extra-long tunnels on roads with high traffic volumes, where the safety situation is very severe. Because the tunnel is a hidden strip structure, the consequences of its traffic accidents are often much more serious than those outside the tunnel. At present, frequent entrance and exit accidents have become a concentrated feature of tunnel traffic accidents. One of the main reasons is that the difference in brightness between inside and outside the tunnel exceeds the driver's visual adaptation ability. [0003] As far as the entrance section is concerned during the daytime, when the vehicle approaches the tunnel, if the difference...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/13G06T7/44G06T2207/10004G06T2207/30236
Inventor 邹小春代东林郭兴隆苏宇峰袁源代文可韩坤林蒋明星刘言韩拓
Owner CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST
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