CN202663481U - Device for judging deviation of automobile driving lane through video analysis - Google Patents
Device for judging deviation of automobile driving lane through video analysis Download PDFInfo
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- CN202663481U CN202663481U CN 201220348099 CN201220348099U CN202663481U CN 202663481 U CN202663481 U CN 202663481U CN 201220348099 CN201220348099 CN 201220348099 CN 201220348099 U CN201220348099 U CN 201220348099U CN 202663481 U CN202663481 U CN 202663481U
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Abstract
The utility model provides a device for judging deviation of an automobile driving lane through video analysis. The device is formed by sequentially connecting a camera, an image collecting unit, an image processing unit, a pixel picking unit, a line set assessing unit and a result output unit; an integrated circuit is arranged on the image collecting unit; and a DSP (Dynamic Signal Processor) is arranged on the image processing unit. Compared with the prior art, the device provided by the utility model can be used for judging an automobile driving direction characteristic, so that the security of reversing and driving on a narrower road condition can be improved.
Description
Technical field
The utility model relates to the vehicle driving safety technical field, is specially the device that a kind of video analysis is judged the running car deviation.
Background technology
Along with expanding economy, automobile day by day universal; But thing followed problem is also increasing.As the visual determination car backing position scratches other people car easily when moveing backward, and perhaps Vehicle Driving Cycle is than the narrow lane condition time, and driver such as visual determination are passed through, and are easy to cause traffic accident.
The utility model content
The device that the technical problem that the utility model solves is to provide a kind of video analysis to judge the running car deviation is to solve the problem of travelling in the narrow space reversing, than narrow lane ore deposit vehicle.
The technical problem that the utility model solves realizes by the following technical solutions:
A kind of video analysis is judged the device of running car deviation, by the camera that connects successively, image acquisition units, graphics processing unit, pixel sorting unit, line group assessment unit and as a result output unit form.Described image acquisition units is provided with integrated circuit, and described graphics processing unit is provided with the DSP digital signal processor.
Described shooting headband automatic white balance function, camera obtains analog video image, can adjust according to light intensity the parameters such as contrast of input picture.Described image acquisition units is provided with integrated circuit, and the analog video image that camera is obtained is converted to digitized image, and the pixel breadth of digitized image is wide by 320, and is high by 240, and data format is YUV2, per second conversion 15 ~ 21 frame video datas, and sampling precision is 12.Described graphics processing unit is provided with the DSP digital signal processor, and the digitized image that obtains is mapped to respectively HSV and LAB color space, and at each space threshold values, forms the straight line pixel.Described pixel sorting unit is provided with embedded software, uses visually that lane line is the feature of Eight characters cross spider, and input straight line pixel is carried out classified statistics, filters out the straight line tuple that meets feature.Described line group assessment unit is provided with embedded software, and the distant place point of characteristic straight line tuple in the computed image draws the variation tendency of automobilism track.Described as a result output unit is that the variation tendency with the automobilism track is converted to one group of computer readable signal, exports to interface.
Beneficial effect: compared with prior art, the utility model can be judged the vehicle traveling direction feature, the fail safe that improves reversing and travel than the narrow road condition.
Description of drawings
Fig. 1 is structural representation of the present utility model.
Embodiment
For technological means, creation characteristic that the utility model is realized, reach purpose and effect is easy to understand, below in conjunction with concrete diagram, further set forth the utility model.
As shown in Figure 1, a kind of video analysis is judged the device of running car deviation, by the camera 1, image acquisition units 2, graphics processing unit 3, pixel sorting unit 4, the line group assessment unit 5 that connect successively, output unit 6 forms as a result.
Described camera 1 band automatic white balance function, camera 1 obtains analog video image, can adjust according to light intensity the parameters such as contrast of input picture.Described image acquisition units 2 is provided with integrated circuit, and the analog video image that camera 1 is obtained is converted to digitized image, and the pixel breadth of digitized image is wide by 320, high by 240, data format is YUV2, per second conversion 15 ~ 21 frame video datas, and sampling precision is 12.Described graphics processing unit 3 is provided with the DSP digital signal processor, and the digitized image that obtains is mapped to respectively HSV and LAB color space, and at each space threshold values, forms the straight line pixel.Described pixel sorting unit 4 is provided with embedded software, uses visually that lane line is the feature of Eight characters cross spider, and input straight line pixel is carried out classified statistics, filters out the straight line tuple that meets feature.Described line group assessment unit 5 also is provided with embedded software, and the distant place point of characteristic straight line tuple in the computed image draws the variation tendency of automobilism track.Described as a result output unit 6 is that the variation tendency with the automobilism track is converted to the computer-readable signal, to interface 61 outputs.
The utility model course of work is as follows:
Enter startup self-detection after the equipment energising, equipment began to enter mode of operation in about 30 seconds.The camera 1 uninterrupted analog image that gathers is sent into image acquisition units 2; Be translated into digital picture by image acquisition units 2; Graphics processing unit 3 will receive digitized image to its decomposition and mapping HSV and LAB color space; Signature analysis by pixel sorting unit 4 and likelihood ratio determine to have in 0.5 second the probability of stability to reach 95% the straight line tuple that meets feature; By the correctness of line group assessment unit 5 definite these straight line tuples, draw the variation tendency of automobilism track; Then the variation tendency of described automobilism track is sent into as a result output unit 6, output unit 6 is converted to one group of computer readable signal with the variation tendency of automobilism track as a result, to interface 61 outputs.
The utility model uses image processing techniques, the picture signal that collects is converted to the analog quantity output signals that represents the terrain vehicle diatom.Utilize machine vision technique, be the straight line pixel with each Feature Conversion in the image, the feature that will intersect at a point in a distant place according to all vertical lines in the image, the intersection area of each vertical straight line pixel in the computed image, intersection point collection to single straight line element and other straight line unit, if it can be led continuously, then keep the intersection point that this group straight line forms; According to straight line unit intersection point distribution density, determine that vertical line is in the point position in a distant place; According to point position, a distant place, analyze the vehicle traveling direction variation tendency, determine the vehicle traveling direction feature.
More than show and described basic principle of the present utility model and principal character and advantage of the present utility model.The technical staff of the industry should understand; the utility model is not restricted to the described embodiments; that describes in above-described embodiment and the specification just illustrates principle of the present utility model; under the prerequisite that does not break away from the utility model spirit and scope; the utility model also has various changes and modifications, and these changes and improvements all fall in claimed the utility model scope.The claimed scope of the utility model is defined by appending claims and equivalent thereof.
Claims (1)
1. a video analysis is judged the device of running car deviation, it is characterized in that: by the camera, image acquisition units, graphics processing unit, pixel sorting unit, the line group assessment unit that connect successively, output unit forms as a result, described image acquisition units is provided with integrated circuit, and described graphics processing unit is provided with the DSP digital signal processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220348099 CN202663481U (en) | 2012-07-18 | 2012-07-18 | Device for judging deviation of automobile driving lane through video analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220348099 CN202663481U (en) | 2012-07-18 | 2012-07-18 | Device for judging deviation of automobile driving lane through video analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202663481U true CN202663481U (en) | 2013-01-09 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201220348099 Expired - Fee Related CN202663481U (en) | 2012-07-18 | 2012-07-18 | Device for judging deviation of automobile driving lane through video analysis |
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| CN (1) | CN202663481U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110517521A (en) * | 2019-08-06 | 2019-11-29 | 北京航空航天大学 | A kind of lane departure warning method based on road car fusion perception |
-
2012
- 2012-07-18 CN CN 201220348099 patent/CN202663481U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110517521A (en) * | 2019-08-06 | 2019-11-29 | 北京航空航天大学 | A kind of lane departure warning method based on road car fusion perception |
| CN110517521B (en) * | 2019-08-06 | 2020-04-07 | 北京航空航天大学 | Lane departure early warning method based on road-vehicle fusion perception |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130109 Termination date: 20170718 |