CN203142524U - Road obstacle recognition system - Google Patents

Road obstacle recognition system Download PDF

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Publication number
CN203142524U
CN203142524U CN 201320140205 CN201320140205U CN203142524U CN 203142524 U CN203142524 U CN 203142524U CN 201320140205 CN201320140205 CN 201320140205 CN 201320140205 U CN201320140205 U CN 201320140205U CN 203142524 U CN203142524 U CN 203142524U
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China
Prior art keywords
microprocessor
camera
signal
vehicle front
recognition system
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Expired - Lifetime
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CN 201320140205
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Chinese (zh)
Inventor
王志威
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Xiamen Clarion Electronics Enterprise Co Ltd
Faurecia Clarion Electronics Co Ltd
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Xiamen Clarion Electronics Enterprise Co Ltd
Clarion Co Ltd
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Priority to CN 201320140205 priority Critical patent/CN203142524U/en
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Abstract

The utility model discloses a road obstacle recognition system comprising a camera, a micro processor, an image transmitting device and a display device, wherein the camera is arranged at the front end of a car and used for obtaining a plurality of sets of images in front of the car. The micro processor is used for analyzing and comparing the images, shot by the camera, in front of the car. The micro processor at least comprises a receiver, a memorizer, a feature extraction device and a comparing and judging device. The image transmitting device is used for transmitting the images, shot by the camera, in front of the car to the micro processor. The display device is used for displaying analysis results obtained through the micro processor. The micro processor reads the images, shot by the camera, in front of the car, and displays the analysis results through the display device after comparison and analysis. The road obstacle recognition system is used for recognizing road situations and timely reminding a driver to pay attention to the road situation.

Description

Road barrier thing recognition system
Technical field
The utility model relates to the detection of obstacles technical field, is specifically related to a kind of road barrier thing recognition system.
Background technology
Existing automobile have by the road surface obstacle (bump or other are higher than the three-dimensional thing on road surface) local time, usually because the accurate height of disturbance in judgement thing of chaufeur, and the phenomenon of chassis scratch can appear.Therefore need a kind of road barrier thing recognition system, the height on the vehicle of the height of disturbance in judgement thing, and contrast automatically chassis, and then judge whether vehicle can pass through this obstacle.
In the prior art, the method for the height of disturbance in judgement thing generally has two kinds.A kind of is to adopt accurate inertial reference policy system, measure the relative elevation on road surface by the several laser sensors (the perhaps associating of laser sensor and acceleration pick-up) that are fixed on the vehicle body of measuring car, and then pass through the computation model calculating surface evenness of No. 46 files of the World Bank.For example Shen Qing Publication day is that 2011.11.23, application publication number are the patent of invention of CN 102252659 A, a kind of vehicle-mounted road road gradient method of measurement based on laser sensor is disclosed, at the centroid position of vehicle gyroscope is installed, is measured angle value ∠ 3 between vehicle body plane and the level reference in real time by gyroscope; The left and right sides in the vehicle body front and back end is symmetrically installed with laser displacement sensor, by four laser displacement sensors measure in real time the vehicle body plane in these 4 positions the shift value apart from pavement of road; Appoint and to get shift value that three laser displacement sensors record can draw pavement of road by geometric techniques horizontal wall inscription angle and longitudinal gradient angle.
Another kind is to utilize the monocular camera under the motion conditions to carry out detection of obstacles, based on feature or based on motion compensation or give light stream, calculate the difference of previous moment and back one image constantly, judge that whether this difference is because the point on the road surface causes, and then judge surface evenness.
In the such scheme, the former needs high-precision laser sensor and acceleration pick-up, cost height, calculation of complex; The latter needs that the road surface is smooth, light conditions is eligible, just can draw conclusion comparatively accurately.Be not suitable for promoting on a large scale, be not suitable for being used in the actual vehicle.
The utility model content
Therefore, at above-mentioned problem, it is low and calculate simple road barrier thing recognition system to the utility model proposes a kind of cost, automatically the height of disturbance in judgement thing, and the height on contrast vehicle chassis, and then judge whether vehicle can pass through this obstacle, and it is applied widely, accuracy of detection is high, can be used in the actual vehicle.
In order to solve the problems of the technologies described above, the thinking that the utility model adopts is, by being installed in camera and the microprocessor in the automobile, and utilize image recognition techniques, reach the comparison of peripheral reference substance according to the aspect ratio of front truck, judge the height of projection, and according to the chassis height of vehicle, judging whether can by passing through with how to drive.
Concrete, the technical scheme that the utility model adopts is that a kind of road barrier thing recognition system comprises a camera, is located at vehicle front, is used for obtaining some groups vehicle front image; One microprocessor, for the vehicle front image that analysis contrast camera is taken, this microprocessor comprises at least for the receptor of reception vehicle front image, for the memory device of store car the place ahead image, for the feature extractor of the graphicinformation of vehicle front image being resolved and extracted feature, for the device that compares to determine of the feature of feature extractor extraction being analyzed contrast; One image transmission is used for the vehicle front image that camera is taken is transferred to microprocessor; One read out instrument is used for the analysis result that shows that microprocessor draws.The signal output part of described camera is connected to the signal input part of described image transmission, the signal output part of described image transmission is connected to the signal input part of described microprocessor, the signal output part of described microprocessor is connected to the signal input part of described read out instrument, microprocessor reads the some groups of vehicle front images that camera is taken, through comparative analysis, demonstrate analysis result by read out instrument.
Point out chaufeur for convenience, microprocessor also comprises the signal converter that analysis result is converted to voice signal; Simultaneously, system also comprises the sound multiplying arrangement that the signal with signal converter output amplifies and the loud speaker that the sound of sound multiplying arrangement output is reported; The signal input part of described sound multiplying arrangement is connected to the signal output part of described microprocessor, the signal output part of described sound multiplying arrangement is connected to the signal input part of described loud speaker, the signal converter of microprocessor is converted to voice signal with analysis result, amplifies the back by the sound multiplying arrangement and is play by loud speaker.
This system also comprises a Temperature Humidity Sensor, and the signal output part of this Temperature Humidity Sensor is connected to the signal input part of microprocessor, and detected humiture information is sent to microprocessor, provides humiture information for chaufeur at any time.
In addition, described microprocessor is to be realized by the SOC system level chip.Can simply utilize the vehicle-mounted computer of existing vehicle to realize.
Road barrier thing recognition system of the present utility model is automatically collected the image of vehicle front according to camera, the aspect ratio by analyzing motor tire in the sheet pavement or peripheral object of reference and high spot is judged the height of projection, and chaufeur is carried out voice reminder.Compared with prior art, the utility model cost is low and calculating is simple, applied widely, accuracy of detection is high, can be used in the actual vehicle.
Description of drawings
Fig. 1 is system chart of the present utility model;
Fig. 2 is the scheme drawing of embodiment of the present utility model.
The specific embodiment
Now with the specific embodiment the utility model is further specified by reference to the accompanying drawings.
The utility model is by being installed in camera and the microprocessor in the automobile, and utilize image recognition techniques, if there is vehicle in the place ahead, then compare according to front truck and high spot height, if the place ahead does not have vehicle, then the height according to peripheral object of reference and high spot compares, and judges the height of projection, and according to the chassis height of vehicle, judging whether can by with how to drive passing through.
As shown in Figure 1, a kind of road barrier thing recognition system comprises camera 1, microprocessor 2, image transmission 3, read out instrument 4, sound multiplying arrangement 5, loud speaker 6 and Temperature Humidity Sensor 7.The signal output part of described camera 1 is connected to the signal input part of described image transmission 3, the signal output part of the signal output part of described image transmission 3 and Temperature Humidity Sensor 7 is connected to the signal input part of described microprocessor 2, the signal output part of described microprocessor 2 is connected to the signal input part of described read out instrument 4 and the signal input part of sound multiplying arrangement 5, the signal output part of sound multiplying arrangement 5 is connected to the signal input part of loud speaker 6, is connected to the signal input part of microprocessor 2.
Wherein, camera 1 is located at vehicle front, for example near the vehicle front chassis, is used for obtaining some groups vehicle front image.
Microprocessor 2, for the vehicle front image that analysis contrast camera 1 is taken, this microprocessor 2 comprises at least for the receptor of reception vehicle front image, for the memory device of store car the place ahead image, for the feature extractor of the graphicinformation of vehicle front image being resolved and extracted feature, for the signal converter that compares to determine device and analysis result is converted to voice signal of the feature of feature extractor extraction being analyzed contrast.This microprocessor 2 is to be realized by the SOC system level chip.Can simply utilize the vehicle-mounted computer (Electronic Control Unit is abbreviated as ECU, Chinese electronic controller, chauffeur live brain or car running computer again) of existing vehicle to realize.
Image transmission 3 is used for the vehicle front image that camera 1 is taken is transferred to microprocessor 2, can realize by simple transmission line.
Read out instrument 4 is used for the analysis result that shows that microprocessor 2 draws.When microprocessor 2 used vehicle-mounted computer to realize, this read out instrument 4 can directly use the telltale of vehicle-mounted computer.
Sound multiplying arrangement 5 amplifies the signal of signal converter output.
Loud speaker 6 is reported the sound of sound multiplying arrangement 5 outputs, with the prompting chaufeur.
Temperature Humidity Sensor 7 is sent to microprocessor 2 with detected humiture information, can provide humiture information for chaufeur at any time.
Microprocessor 2 reads the some groups of vehicle front images that camera 1 is taken, through comparative analysis, demonstrate analysis result by read out instrument 4, microprocessor 2 is converted to voice signal with analysis result, and by 5 amplifications of sound multiplying arrangement, play by loud speaker 6 afterwards.In addition, microprocessor 2 also can be analyzed the humiture of Temperature Humidity Sensor 7, if surpass a certain threshold value, then in time reminds chaufeur to note.
Road barrier thing recognition system of the present utility model is applied on the vehicle, as shown in Figure 2, can make this vehicle identify road surface, the place ahead situation in advance, run into hollow or the projection that may cause automobile bumpiness as the place ahead, timely voice reminder chaufeur, please in time handle or make preparation by chaufeur, jolt thereby eliminate, and avoid the chassis of vehicle impaired.
Although specifically show and introduced the utility model in conjunction with preferred embodiment; but the those skilled in the art should be understood that; in not breaking away from the spirit and scope of the present utility model that appended claims limits; can make a variety of changes the utility model in the form and details, be protection domain of the present utility model.

Claims (3)

1. road barrier thing recognition system is characterized in that: comprising:
One camera is located at vehicle front, is used for obtaining some groups vehicle front image;
One microprocessor is used for analyzing the vehicle front image that the contrast camera is taken; This microprocessor comprises at least for the receptor of reception vehicle front image, for the memory device of store car the place ahead image, for the feature extractor of the graphicinformation of vehicle front image being resolved and extracted feature, for the device that compares to determine of the feature of feature extractor extraction being analyzed contrast;
One image transmission is used for the vehicle front image that camera is taken is transferred to microprocessor;
One read out instrument is used for the analysis result that shows that microprocessor draws;
The signal output part of described camera is connected to the signal input part of described image transmission, the signal output part of described image transmission is connected to the signal input part of described microprocessor, the signal output part of described microprocessor is connected to the signal input part of described read out instrument, microprocessor reads the some groups of vehicle front images that camera is taken, through comparative analysis, demonstrate analysis result by read out instrument.
2. road barrier thing recognition system according to claim 1, it is characterized in that: microprocessor also comprises the signal converter that analysis result is converted to voice signal; System also comprises the sound multiplying arrangement that the signal with signal converter output amplifies and the loud speaker that the sound of sound multiplying arrangement output is reported; The signal input part of described sound multiplying arrangement is connected to the signal output part of described microprocessor, and the signal output part of described sound multiplying arrangement is connected to the signal input part of described loud speaker; The signal converter of microprocessor is converted to voice signal with analysis result, amplifies the back by the sound multiplying arrangement and is play by loud speaker.
3. road barrier thing recognition system according to claim 1, it is characterized in that: this system also comprises a Temperature Humidity Sensor, the signal output part of this Temperature Humidity Sensor is connected to the signal input part of microprocessor, and detected humiture information is sent to microprocessor.
4. road barrier thing recognition system according to claim 1, it is characterized in that: described microprocessor is the SOC system level chip.
CN 201320140205 2013-03-26 2013-03-26 Road obstacle recognition system Expired - Lifetime CN203142524U (en)

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CN 201320140205 CN203142524U (en) 2013-03-26 2013-03-26 Road obstacle recognition system

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106570451A (en) * 2015-10-07 2017-04-19 福特全球技术公司 Self-recognition of autonomous vehicles in mirrored or reflective surfaces
CN107730551A (en) * 2017-01-25 2018-02-23 问众智能信息科技(北京)有限公司 The method and apparatus that in-vehicle camera posture is estimated automatically
CN111950502A (en) * 2020-08-21 2020-11-17 东软睿驰汽车技术(沈阳)有限公司 Obstacle object-based detection method and device and computer equipment
CN111950502B (en) * 2020-08-21 2024-04-16 东软睿驰汽车技术(沈阳)有限公司 Obstacle object-based detection method and device and computer equipment

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106570451A (en) * 2015-10-07 2017-04-19 福特全球技术公司 Self-recognition of autonomous vehicles in mirrored or reflective surfaces
CN107730551A (en) * 2017-01-25 2018-02-23 问众智能信息科技(北京)有限公司 The method and apparatus that in-vehicle camera posture is estimated automatically
CN107730551B (en) * 2017-01-25 2019-09-17 大众问问(北京)信息科技有限公司 The method and apparatus that in-vehicle camera posture is estimated automatically
CN111950502A (en) * 2020-08-21 2020-11-17 东软睿驰汽车技术(沈阳)有限公司 Obstacle object-based detection method and device and computer equipment
CN111950502B (en) * 2020-08-21 2024-04-16 东软睿驰汽车技术(沈阳)有限公司 Obstacle object-based detection method and device and computer equipment

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