CN203332106U - Automobile warning anti-collision system based on monocular vision - Google Patents
Automobile warning anti-collision system based on monocular vision Download PDFInfo
- Publication number
- CN203332106U CN203332106U CN2013201953087U CN201320195308U CN203332106U CN 203332106 U CN203332106 U CN 203332106U CN 2013201953087 U CN2013201953087 U CN 2013201953087U CN 201320195308 U CN201320195308 U CN 201320195308U CN 203332106 U CN203332106 U CN 203332106U
- Authority
- CN
- China
- Prior art keywords
- automobile
- real
- monocular vision
- warning
- system based
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Landscapes
- Traffic Control Systems (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The utility model provides an automobile warning anti-collision system based on monocular vision. The automobile warning anti-collision system comprises a data collecting part, an information processing part and an alarming part. The data collecting part is used for collecting a front automobile image and real-time self automobile speed. The information processing part is used for storing the existing corresponding relationship of the self automobile speed and the safety interval and processing the image obtained by the data collecting part, the real-time interval is obtained by data processing, and whether the real-time interval is smaller than the safety interval is judged. When the real-time interval is smaller than the safety interval, the alarming part is controlled to give an alarming hint to an automobile driver. The alarming part comprises a buzzer and a warning lamp and is used for reminding the automobile driver.
Description
Technical field
The utility model relates to a kind of automobile early warning collision avoidance system, particularly relates to a kind of automobile early warning collision avoidance system based on monocular vision.
Background technology
Automobile is a kind of modern rapid.The development of highway system, make the in-use performance of automobile obtain giving full play to, and brought facility to people's life and commercial production, and meanwhile, moving velocity and traffic safety just become and become more and more important.Get on the car and knock into the back that to bump against be one of the accident of often sending out at highway, tracing it to its cause is mainly safety distance (distances in the two workshops) deficiency of driving.Regulation in " People's Republic of China's law on road traffic safety implementing regulations ": " with the self-propelled vehicle of lanes, rear car must be according to moving velocity, and weather and road surface situation, keep necessary safety distance with front truck." for fear of the rear-end collision accident, at present the normal means that adopt are passive security, adopt some safety methods, safety air bag for example, safety strap etc. are protected the passenger when accident, reduce injures and deaths.In addition, the development of science and technology makes us start to pay close attention to the active safety means, traffic accident is predicted, avoids the appearance of accident, i.e. Car warning system.Research shows, by means of forewarn system, the rear-end impact reduced rate can reach 62%.
Existing forewarn system has laser pre-warning, early radar warning, wireless telecommunications early warning etc., but, due to laser, the cost of trailer-mounted radar etc. is higher, so the cost of these forewarn systems is all higher.
The utility model content
In order to overcome above-mentioned the deficiencies in the prior art, the utility model provides the collision avoidance system of the automobile early warning based on monocular vision.
The structure that the utility model adopts is:
Automobile early warning collision avoidance system based on monocular vision comprises:
Data acquisition section, for gathering front automobile image and real-time self speed of a motor vehicle; Information treatment part, for storing the existing corresponding relation of self speed of a motor vehicle and safe distance between vehicles, processing data collection section obtains image and draws real-time spacing through monocular vision disposal methods data, judges whether real-time spacing is less than the corresponding safe distance between vehicles of self speed of a motor vehicle in real time; Warning section, send warning for the judged result obtained according to information treatment part; Wherein, data acquisition section comprises: pick up camera, for gathering image; Video frequency collection card, for receiving the image from pick up camera; Speed sensor, for detection of self speed of a motor vehicle; Information treatment part is ARM; Warning section comprises buzzer phone and Warning light.
Utility model effect and effect
Because the utility model utilizes the monocular vision method, the requirement of the pick up camera that image acquisition is partly used is lower, can use common digital camera head, therefore cost is lower, and the data processing division use is arm processor, the cost of sort processor is also lower, so can reach cost-saving purpose.
The accompanying drawing explanation
Fig. 1 is structured flowchart of the present utility model.
Fig. 2 is workflow diagram of the present utility model.
The specific embodiment
Below in conjunction with accompanying drawing, the utility model is described in detail.
Fig. 1 is the block diagram of structure of the present utility model.
Automobile early warning collision avoidance system based on monocular vision, comprise data acquisition section, information treatment part and warning section.Data acquisition section comprises ccd video camera (12), speed sensor (13), video frequency collection card (14); Information treatment part comprises ARM(15), warning section comprises buzzer phone and LED lamp (16).
Ccd video camera (12) is for taking the realtime graphic of vehicle front.
Video frequency collection card (14) is for receiving the realtime graphic from ccd video camera (12), and speed sensor (13) is for gathering the real-time speed of a motor vehicle.
ARM(15) the built-in distance operation program based on monocular vision, the angle of utilizing ccd video camera (12) to install, ccd video camera (12) is apart from the height on ground, the preset parameters such as visual field of ccd video camera (12), the realtime graphic of the vehicle front photographed in conjunction with ccd video camera (12), then process through image the image that therefrom extracts front automobile, read the coordinate of front automobile in described realtime graphic, the distance of two cars before and after calculating.ARM(15) safe distance between vehicles corresponding to the built-in different speed of a motor vehicle of while, the real-time spacing that ARM (15) goes out for the image calculation obtained according to video frequency collection card (14), and the real-time speed of a motor vehicle recorded according to speed sensor (13) obtains corresponding safe distance between vehicles, by real-time spacing therewith safe distance between vehicles compare, if spacing is greater than the safe distance between vehicles under real-time speed in real time, not controlling warning section gives the alarm, continue to use ccd video camera (12) collection image operating speed sensor (13) to calculate real-time spacing, gather current vehicle speed, safe distance between vehicles corresponding to current vehicle speed compares.If spacing is less than the safe distance between vehicles under real-time speed in real time, controls warning section and give the alarm.The calculated rate of spacing determines by the shooting frequency of ccd video camera, and normally used ccd video camera is taken frequency at 30 frames/more than second, so the native system per second at least can judge that whether 30 real-time spacings are over the safe distance between vehicles under the real-time speed of a motor vehicle.
Warning section comprises that buzzer phone and LED lamp (16) give the alarm for the instruction received from ARM (15).
Fig. 2 is workflow diagram of the present utility model.
Step S1-1:
In vehicle traveling process, ccd video camera gathers the image of vehicle front, and speed sensor gathers the real-time speed of a motor vehicle of automobile self simultaneously, enters step S1-2.
Step S1-2:
The view data that ARM utilizes ccd video camera (12) to wait until is carried out the image processing, and calculates real-time spacing.
Step S1-3
The existing speed of a motor vehicle that self speed of a motor vehicle that ARM utilizes speed sensor (13) to collect is built-in with ARM and safety distance relation obtain the safe distance between vehicles corresponding with current self speed of a motor vehicle.ARM compares the real-time spacing and the described safe distance between vehicles that calculate, if spacing is greater than described safe distance between vehicles in real time, returns to step S1-1.If spacing is less than described safe distance between vehicles in real time, enter step S1-4.
Step S1-4
ARM sends signal control warning section to warning section and is reported to the police, and enters step S1-5.
Step S1-5
Chaufeur is controlled car deceleration, when real-time spacing is greater than the corresponding safe distance between vehicles of current vehicle speed, reports to the police and finishes.System comes back to step S1-1 and proceeds to detect.
The effect of the specific embodiment and effect
Because the monocular vision method itself that the utility model utilizes is lower to the requirement of hardware, the pick up camera that image acquisition is partly used can use common digital camera head, and the data processing division use is arm processor, the cost of this camera and treater is low, so can reach cost-saving purpose.Because spacing determination frequency of the present utility model is per second more than 30 times, so early warning frequency abundance can be reminded automobile driver in time, reach the effect of timely early warning.
Be only preferred embodiment of the present utility model in sum, not be used for limiting practical range of the present utility model.Be that all equivalences of doing according to the content of the utility model claim change and modify, all should be considered as technology category of the present utility model.
Claims (4)
1. the automobile early warning collision avoidance system based on monocular vision, is characterized in that, comprising:
Data acquisition section, for gathering front automobile and all edge images thereof and real-time self speed of a motor vehicle;
Information treatment part, obtain image and draw real-time spacing through the monocular vision processing method for the treatment of data acquisition section, and compare with built-in self speed of a motor vehicle of described information treatment part and the existing corresponding relation of safe distance between vehicles, judge whether described real-time spacing is less than described safe distance between vehicles;
Warning section, send warning for the judged result obtained according to described information treatment part.
2. the automobile early warning collision avoidance system based on monocular vision according to claim 1 is characterized in that:
Wherein, data acquisition section comprises:
Pick up camera, for gathering front automobile and all edge images, and send video frequency collection card to;
Video frequency collection card, for receiving the image from pick up camera;
Speed sensor, for detection of self speed of a motor vehicle, and be sent to described information treatment part.
3. the automobile early warning collision avoidance system based on monocular vision according to claim 1, it is characterized in that: wherein, information treatment part is ARM.
4. the automobile early warning collision avoidance system based on monocular vision according to claim 1, it is characterized in that: wherein, warning section comprises buzzer phone and Warning light.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013201953087U CN203332106U (en) | 2013-04-17 | 2013-04-17 | Automobile warning anti-collision system based on monocular vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013201953087U CN203332106U (en) | 2013-04-17 | 2013-04-17 | Automobile warning anti-collision system based on monocular vision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN203332106U true CN203332106U (en) | 2013-12-11 |
Family
ID=49700802
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2013201953087U Expired - Fee Related CN203332106U (en) | 2013-04-17 | 2013-04-17 | Automobile warning anti-collision system based on monocular vision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN203332106U (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104442554A (en) * | 2014-10-24 | 2015-03-25 | 中国人民解放军理工大学 | Automobile dead zone detection and safety travelling method and system |
| CN104773171A (en) * | 2014-01-10 | 2015-07-15 | 财团法人工业技术研究院 | Vehicle collision early warning device and method |
| CN105329238A (en) * | 2015-12-04 | 2016-02-17 | 北京航空航天大学 | Self-driving car lane changing control method based on monocular vision |
| CN106080394A (en) * | 2016-08-12 | 2016-11-09 | 安徽工程大学机电学院 | A kind of vehicle-mounted early warning system |
| CN106585549A (en) * | 2016-12-14 | 2017-04-26 | 兰州工业学院 | Intelligent anticollision system for vehicles |
| CN106740839A (en) * | 2017-01-23 | 2017-05-31 | 山东交通学院 | A kind of automobile distance detects prior-warning device and method for early warning |
| CN110774980A (en) * | 2019-11-06 | 2020-02-11 | 南京酷沃智行科技有限公司 | Rear vehicle distance monitoring system and method during emergency braking of vehicle |
| CN113060067A (en) * | 2021-04-07 | 2021-07-02 | 深圳市大班长科技有限公司 | Early warning method and device for automobile deviating from lane |
-
2013
- 2013-04-17 CN CN2013201953087U patent/CN203332106U/en not_active Expired - Fee Related
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104773171A (en) * | 2014-01-10 | 2015-07-15 | 财团法人工业技术研究院 | Vehicle collision early warning device and method |
| CN104442554A (en) * | 2014-10-24 | 2015-03-25 | 中国人民解放军理工大学 | Automobile dead zone detection and safety travelling method and system |
| CN105329238A (en) * | 2015-12-04 | 2016-02-17 | 北京航空航天大学 | Self-driving car lane changing control method based on monocular vision |
| CN106080394A (en) * | 2016-08-12 | 2016-11-09 | 安徽工程大学机电学院 | A kind of vehicle-mounted early warning system |
| CN106585549A (en) * | 2016-12-14 | 2017-04-26 | 兰州工业学院 | Intelligent anticollision system for vehicles |
| CN106740839A (en) * | 2017-01-23 | 2017-05-31 | 山东交通学院 | A kind of automobile distance detects prior-warning device and method for early warning |
| CN106740839B (en) * | 2017-01-23 | 2024-04-09 | 山东交通学院 | Automobile distance detection early warning device and method |
| CN110774980A (en) * | 2019-11-06 | 2020-02-11 | 南京酷沃智行科技有限公司 | Rear vehicle distance monitoring system and method during emergency braking of vehicle |
| CN113060067A (en) * | 2021-04-07 | 2021-07-02 | 深圳市大班长科技有限公司 | Early warning method and device for automobile deviating from lane |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN203332106U (en) | Automobile warning anti-collision system based on monocular vision | |
| CN103158620B (en) | A kind of traffic detecting and tracking forewarn system | |
| CN106373218B (en) | A kind of mobile phone automobile data recorder with crimping warning function | |
| CN103723096B (en) | With the drive assist system of radio communication function | |
| CN102632839B (en) | Back sight image cognition based on-vehicle blind area early warning system and method | |
| CN103204123B (en) | Vehicle-pedestrian detecting, tracking and early-warning device and method | |
| CN102849009B (en) | A kind of express highway rear-end impact early warning and protective system and control method | |
| CN203854604U (en) | Intelligent blind spot monitoring device for automobile | |
| CN103043021A (en) | Omni-directional automotive active safety system with integrated five-channel video detection function | |
| CN103879404B (en) | The anti-collision alarm method of traceable mobile object and device thereof | |
| CN201824950U (en) | Automobile safe running anti-collision system | |
| CN106515582A (en) | Safe driving early warning method and device | |
| CN103723073B (en) | A kind of danger of Fusion is overtaken other vehicles prior-warning device and method for early warning thereof | |
| CN104085396A (en) | Panoramic lane departure warning method and system | |
| CN104794855A (en) | Driver's attention comprehensive assessment system | |
| CN110085042A (en) | A kind of vehicle drive early warning system and method based on information fusion | |
| CN204845924U (en) | Vertically keep away to hit and remind and follow integrated system automatically | |
| CN105774700A (en) | Vehicle-mounted traveling record management system used for large van | |
| CN204309672U (en) | A kind of anti-car rear-end prior-warning device based on image recognition | |
| CN109001743A (en) | Tramcar anti-collision system | |
| CN206383949U (en) | Driving safety system based on the pure image procossings of ADAS | |
| CN103832357B (en) | A kind of lane-departure warning system and method based on machine vision | |
| CN203172620U (en) | Device for lane changing safety judging and forewarning for driver | |
| CN101746363B (en) | Device for intellectually monitoring vehicle space, alarming and automatically braking | |
| CN105741635A (en) | Multifunctional road experiment vehicle platform |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20131211 Termination date: 20140417 |