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Laser binocular vision-based vehicle running deviation online automatic detection system

An automatic detection, vehicle driving technology, applied in vehicle testing, machine/structural component testing, measuring devices, etc., can solve problems such as inability to meet production requirements, low measurement accuracy and efficiency, and the influence of light intensity, and achieve cost Low, good practicability, good uniformity

Inactive Publication Date: 2015-07-15
WUHAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The traditional method of detecting vehicle deviation is sprinkler positioning, which has low measurement accuracy and efficiency and cannot meet production requirements. With the deepening of deviation detection research and the introduction of new technologies, many modern deviation detection methods have emerged, such as GPS technology, based on Vehicle deviation measurement system based on laser ranging, automatic detection of vehicle deviation based on image processing, vehicle deviation test system based on LabVIEW, online automatic detection system of vehicle deviation with optical fiber sensor, detection of vehicle side slip table, etc.
At present, few manufacturers use photography to detect the deviation of the vehicle. Even if the photogrammetry method is used, this method also has the disadvantage of being affected by the intensity of light.

Method used

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  • Laser binocular vision-based vehicle running deviation online automatic detection system
  • Laser binocular vision-based vehicle running deviation online automatic detection system
  • Laser binocular vision-based vehicle running deviation online automatic detection system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] An online automatic detection system for vehicle deviation based on laser binocular vision. The online automatic detection system such as figure 1 and figure 2 As shown, it includes a power cabinet 14, a computer 18, a first L-shaped frame 3, a second L-shaped frame 6, a first detection device 2, a second detection device 5, a first photoelectric switch, a second photoelectric switch and a detection area.

[0050] The detection area is composed of a test preparation area 7 and a test area 9 .

[0051] Correspondingly fixed with the first L-shaped frame 3 and the second L-shaped frame 6 at the terminal point of the test preparation area 7 and the terminal point of the test area 9, equidistant on the left side of the first L-shaped frame 3 and the second L-shaped frame 6 The ground is correspondingly equipped with a first photoelectric switch and a second photoelectric switch. One end of the upper beam of the first L-shaped frame 3 and the second L-shaped frame 6 is c...

Embodiment 2

[0085] An online automatic detection system for vehicle deviation based on laser binocular vision. Except the tested vehicle, the large field of view laser light source and the technical parameters of the test, the rest are the same as in Embodiment 1.

[0086] The length L of the test preparation area 7 described in the present embodiment 1 is 80m, the length L of the test area 9 2 is 100m; the vehicle under test is a bus, and an optical measurement mark is placed on the top of the bus under test before the test.

[0087]The first large field of view laser light source 11 described in this embodiment is composed of 4 to 6 lasers installed in the first temperature control box 12, and the 4 to 6 lasers are evenly installed in an array on the first CCD image sensor 13 around; Each laser is equipped with an infrared filter that only transmits 808nm.

[0088] The test method of this embodiment is: start the online automatic detection system described in this embodiment, and the...

Embodiment 3

[0094] An online automatic detection system for vehicle deviation based on laser binocular vision. Except the tested vehicle, the large field of view laser light source and the technical parameters of the test, the rest are the same as in Embodiment 1.

[0095] The length L of the test preparation area 7 described in the present embodiment 1 is 100m, the length L of the test area 9 2 It is 150m. The vehicle under test is a truck.

[0096] The first large field of view laser light source 11 described in this embodiment is composed of 6 to 10 lasers installed in the first temperature control box 12, and the 6 to 10 lasers are evenly installed in the first CCD image sensor 13 in a ring shape. Around; Each laser is equipped with an infrared filter that only transmits 808nm.

[0097] The test method of this embodiment is: start the online automatic detection system described in this embodiment, and the vehicle running deviation online automatic detection system software in the ...

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Abstract

The invention relates to a laser binocular vision-based vehicle running deviation online automatic detection system. According to the technical scheme, a first photoelectric switch and a second photoelectric switch are arranged on the left sides of destinations of a test preparation area (7) and a test area (9); a first detection device (2) and a second detection device (5) are correspondingly arranged above the destinations of the test preparation area (7) and the test area (9); a first charge-coupled device (CCD) image sensor (13) and a first large-field of view laser light source (11) of the first detection device (2) are arranged at a bottom plate of a first temperature control box (14); the structure of the second detection device (5) is the same as that of the first detection device (2); a computer (18) is connected with the first CCD image sensor (13) and a second CCD image sensor (15) through network cables; a first photoelectric tube (1) is connected with the first CCD image sensor (13); a second photoelectric tube (4) is connected with the second CCD image sensor (15); and the computer (18) is provided with vehicle running deviation online automatic detection system software. The influence of a measurement environment is eliminated, and the measurement accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of image processing and automatic detection, in particular to an online automatic detection system for vehicle deviation based on laser binocular vision. Background technique [0002] Car deviation is a common fault in the operation of the car. The harm of the car deviation is very great, ranging from tire gnawing or tire scrapping, to severe tire blowout, vehicle loss of control or serious traffic accidents. It is the most ideal situation for the vehicle to keep driving in a straight line during driving. In fact, different vehicles have more or less deviations during driving. negative effect. "Technical Conditions for Motor Vehicle Operation Safety" (GB7258-2004) is a mandatory standard. Article 4.13 stipulates that when a motor vehicle is driving straight, the line connecting the centers of the front and rear axles shall be consistent with the center line of the driving track; Article 6.7 stipulates that:...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M17/007
Inventor 周兴林严运兵应保胜李程张云刘汉丽陈亮
Owner WUHAN UNIV OF SCI & TECH
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