CN202018744U - Vehicle safety driving assisting system based on monocular distance measurement - Google Patents
Vehicle safety driving assisting system based on monocular distance measurement Download PDFInfo
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- CN202018744U CN202018744U CN2011201058444U CN201120105844U CN202018744U CN 202018744 U CN202018744 U CN 202018744U CN 2011201058444 U CN2011201058444 U CN 2011201058444U CN 201120105844 U CN201120105844 U CN 201120105844U CN 202018744 U CN202018744 U CN 202018744U
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Abstract
The utility model discloses a vehicle safety driving assisting system based on monocular distance measurement, which at least consists of an image acquisition module, a voice module, a GPS (global positioning system) positioning module, a data processing module, a display module and a vehicle-mounted power source and the like, wherein the image acquisition module, the display module, the voice module, the GPS positioning module and the vehicle-mounted power source are respectively connected with the data processing module. The vehicle safety driving assisting system acquires images by the aid of a camera mounted in the front of a vehicle, and obtains distance and speed information of an ahead vehicle to be analyzed and processed through acquired images, so that when a driver is in danger, the vehicle safety driving assisting system can transmit warnings to the driver, the display module ejects a warning window and the voice module can transmit a warning. Besides, the shortcomings that a conventional vehicle warning system is low in speed, low in distance measuring accuracy, high in distance measuring cost and difficulty in realizing are overcome.
Description
Technical field
The utility model belongs to camera system range finding and process field, relates to a kind of monocular vision range measurement system, and particularly a kind of accurately positioned vehicle position based on the automotive safety DAS (Driver Assistant System) of monocular range finding.
Background technology
Automobile assistant driving is a special applications in the Modern Transportation Technology field, it is the supervisory system of forming in conjunction with new and high technologies such as traffic transporting technology, safety technique, radio sensing network technology, computer technology, the communication technologys, to obtain the safe condition of vehicle in transit, realize real-time early warning, the accident that prevents takes place.
According to the data presentation of China's expressway traffic accident in recent years, the main cause of China's expressway traffic accident is a rear-end impact, and mostly is serious accident, and accident injury that is caused and economic loss are very big.In the judgement of rear end collision, foundation with car driver judgement and decision is to estimate to arrive the time of front truck, and there is very important relation this time with distance, speed, relative velocity and reaction time, so purpose of the early warning system of designing and developing, to expand driver's judgement recognition capability exactly, to increase grasp and processing power to peripheral information.Before accident takes place, remind the driver and take certain safety practice, the generation that reduces traffic hazard then is very important.Automotive safety spacing early warning system just is being based on the active safety that improves vehicle, reduce the rear-end collision accident, be implemented in the technique device that security information is provided to the driver in the driving, for improving China's traffic safety level, reduce the traffic hazard incidence, promote that intelligent transportation system contributes in the development and the realization of China.
Traditional vehicle range measurement system has three kinds at present:
Ultrasonic ranging, general not as the stadimeter on the expressway, the one, hyperacoustic speed is subjected to ectocine big; The 2nd, distance is far away more, and the ultrasound wave loss is serious more, can reduce measuring accuracy.
There is the Electromagnetic Interference problem in the millimetre-wave radar range finding, must prevent the Electromagnetic Interference of and other communications facilitys mutual because of radar installations.
Laser ranging, the ubiquity image taking speed is slow excessively, problem of ultra-high price, owing to use under high velocity environment, needs to improve its degree of stability, and the safe distance between vehicles early warning system is not popularized and is installed.
Summary of the invention
At defective that exists in the above-mentioned prior art or deficiency, the purpose of this utility model is, a kind of automotive safety DAS (Driver Assistant System) based on the monocular range finding is provided, this system is by the camera collection image of vehicle front, obtain the distance and the velocity information of front vehicles by the image of gathering, and the analysis and the processing of realization data, when being in danger, the driver carries out vehicle early warning, and current GPS information shown on LCD, overcome the defective that traditional vehicle early warning system can only be engaged in the range observation task of low rate, low precision.
For achieving the above object, the utility model adopts following technical solution:
A kind of automotive safety DAS (Driver Assistant System) based on the monocular range finding is characterized in that, comprises at least with lower module:
Image capture module: in order to the image information in real-time collection vehicle the place ahead in the vehicle ' process;
Voice module: in order to when safety problem appears in vehicle, to send audio alert;
GPS locating module: in order to the location and time information of the current vehicle of real-time collection;
Data processing module: in order to real-time reception and handle the information that image capture module, GPS locating module send, whether the spacing of judging vehicle is in safe range;
Display module: in order to display message;
Vehicle power: for system provides power supply;
Image capture module, display module, voice module, GPS locating module and vehicle power are connected with data processing module respectively.
The utlity model has following advantage:
1, the PXA270 chip is based on the Xscale core of ARMv5E, and highest frequency can reach 624MHz.
2, image capture module adopts ccd video camera, can directly optical signalling be converted to digital electric signal, realizes the obtaining of image, storage, transmission process and reproduction, has that volume is little, the life-span long, good stability and highly sensitive characteristics.
3, voice module makes when safety problem occurring, does not just eject the early warning window on the display screen, also has voice simultaneously and carries out early warning, and is more intuitive and reliable.
4, adopt the GPS locating module accurately to determine vehicle location, make vehicle real-time monitored to arrive current position and temporal information.
5, the system onboard power supply is added measures such as overcurrent, overvoltage and anti-electromagnetic interference (EMI), improved the stability of power module power supply, can reach the every testing requirements in GB/T 21437.2-2008/ISO 7637-2:2004 " the electricity harassing and wrecking part 2 that road vehicle is caused by conduction and the coupling: " standard along the electric transient conduction of power lead.
6, the utility model memory capacity is big, real time record, volume little (30*15*10 (cm)), (being not more than 3KG) in light weight, portable and low-power consumption, the installation environment of suitable vehicle cab.
The utility model is applied to embedded technology in the onboard system, can carry out acquisition process to the relevant information of vehicle state information in transit and safe condition in real time, treated data is made estimate to be judged, has realized that potential safety hazard early finds early to handle.The utility model is at causing taking place pernicious traffic hazard phenomenon because vehicle rear-end collision bumps against, artificial intelligence theory and technology such as utilization computer vision, Flame Image Process, pattern-recognition, by going deep into the assessment criteria of this car of systematic research front vehicles recognition and tracking method and safe distance between vehicles, realization is to front vehicles real-time detection and anti-collision warning, thereby provide technical support for effectively reducing similar traffic hazard, very important meaning is arranged for the measurement and the expressway safety early warning of the identification of front vehicles and tracking, distance.
Description of drawings
Fig. 1 is a structural representation of the present utility model;
Fig. 2 is a workflow diagram of the present utility model.
Below in conjunction with the drawings and specific embodiments the utility model is further explained explanation.
Embodiment
As shown in Figure 1, the monocular range measurement system of automotive safety driver assistance of the present utility model comprises at least as lower module:
Image capture module:, and the image information of gathering is sent to data processing module in real time in order to the real-time image information in collection vehicle the place ahead in the vehicle ' process; Image capture module adopts ccd video camera.
Voice module: in order to when safety problem appears in vehicle, to send audio alert to the driver; Voice module adopts the ISD1730 speech chip.
GPS locating module:, and the information of gathering sent to data processing module in order to the location and time information of the current vehicle of real-time collection; The GPS locating module adopts Gstar GS-89 GPS module.
Data processing module: in order to real-time reception and handle the position and the temporal information of image information that image capture module sends, vehicle self that the GPS locating module sends, in safe range, the information that needs are shown sends to display module to the spacing of judging vehicle; Data processing module adopts the ARM11 processor P XA270 chip of technical grade.
Display module:, and show the information that receives in order to the image information of real-time reception data processing module transmission, the position of vehicle self and the object information of temporal information and data processing module processing; Display module adopts the LCD LCDs.
Vehicle power: for system provides power supply;
Image capture module, display module, voice module, GPS locating module and vehicle power are connected with data processing module respectively.
The GPS locating module links to each other with data processing module by serial communication circuit.
Image capture module is connected with data processing module by data collecting card.
During actual the use, native system is installed in the vehicle drive chamber interior, is convenient to human pilot and observes, the CCD camera is installed in car the place ahead, and the angle of video camera is arbitrarily.
Referring to Fig. 2, in actual use, workflow of the present utility model is as follows:
Vehicle begins to travel, the vehicle power power supply, and the native system initialization, each module is started working.Image capture module at first extracts the road surface, carries out camera calibration, gathers the front vehicles view data in real time, and these data transmission are arrived data processing module; Data processing module is handled image, at first carry out vehicle identification, secondly according to the monocular range measurement principle, determine the distance of front vehicles and according to multiframe information, obtain the travel speed of current vehicle, according to the information that obtains and utilize the safe early warning model, the safe condition of vehicle is judged once more.At last spacing, speed, vehicle safety status information being sent to display module shows; The GPS locating module is gathered current vehicles positional information and temporal information simultaneously, and these information are sent to data processing module, and sends to display module through data processing module; Display module shows these distances, speed, time, latitude, longitude and safety state information.Data processing module is judged according to the safety state information that processing obtains, if vehicle now is not in a safe condition, then has safety problem, the information that data processing module will need to show sends to display module, the display module caution window of being hit by a bullet out, voice module sends alerting signal according to data processing module and sends safety alarm to the driver simultaneously.
System is the center with the data processing module, gathers in real time to show and processing, and is specific as follows:
Enter the system call process behind the system initialization, that is to say director data and execution that the data processing module real-time judge receives:
The pattern that is provided with is judged: be, then enter steps A, otherwise continue to judge;
The road surface is upgraded and is judged: be, then enter step B, otherwise continue to judge;
Range finding is judged: be, then enter step C, otherwise continue to judge;
GPS location determination: be, then enter step D, otherwise continue to judge;
Steps A: data processing module carries out the pattern setting, promptly can pattern be set according to different weather and time, comprises day mode, Night, greasy weather pattern, rainy day pattern.And according to the different update global variable of pattern, display module display result;
Step B: the initialisation image acquisition module, gather information of road surface and also upgrade the road surface data, if gathers successfully, pop-up window also sends to the display module demonstration with result;
Step C: the initialisation image acquisition module, at first gather a frame image data, data processing module carries out the image pre-service, carries out vehicle location according to the road surface data again; If do not have vehicle in the visual field, then return the first step and gather second frame image data.If have vehicle in the visual field, then data processing module is measured the distance of vehicle in the visual field according to the monocular vision principle and is carried out safe condition and judge; Show if safety then sends to data processed result display module, if the dangerous display module that then information sent to ejects the caution window, and by voice module to driver's early warning;
Step D:GPS module initialization, and real-time display module that GPS information is sent to shows;
Step e: data processing module reads error data, and carries out fault processing, if handle successfully, then eliminates error data, restarts otherwise carry out system; System initialization then; Reenter the system call stage.
When utilizing native system can be implemented in vehicle to have an accident, analyze the reason of vehicle trouble, and relevant field data is carried out playback recover to handle, thereby the judgment basis of science is provided for the accident assessor.
Claims (8)
1. the automotive safety DAS (Driver Assistant System) based on the monocular range finding is characterized in that, comprises at least with lower module:
Image capture module: in order to the image information in real-time collection vehicle the place ahead in the vehicle ' process;
Voice module: in order to when safety problem appears in vehicle, to send audio alert;
GPS locating module: in order to the location and time information of the current vehicle of real-time collection;
Data processing module: in order to real-time reception and handle the information that image capture module, GPS locating module send, whether the spacing of judging vehicle is in safe range;
Display module: in order to display message;
Vehicle power: for system provides power supply;
Image capture module, display module, voice module, GPS locating module and vehicle power are connected with data processing module respectively.
2. the automotive safety DAS (Driver Assistant System) based on the monocular range finding as claimed in claim 1 is characterized in that described GPS locating module links to each other with data processing module by serial communication circuit.
3. the automotive safety DAS (Driver Assistant System) based on the monocular range finding as claimed in claim 1 is characterized in that described data acquisition module is connected with data processing module by data collecting card.
4. the automotive safety DAS (Driver Assistant System) based on the monocular range finding as claimed in claim 1 is characterized in that described image capture module adopts ccd video camera.
5. the automotive safety DAS (Driver Assistant System) based on the monocular range finding as claimed in claim 1 is characterized in that described voice module adopts the ISD1730 speech chip.
6. the automotive safety DAS (Driver Assistant System) based on the monocular range finding as claimed in claim 1 is characterized in that, described GPS locating module adopts Gstar GS-89 GPS development module.
7. the automotive safety DAS (Driver Assistant System) based on the monocular range finding as claimed in claim 1 is characterized in that described data processing module adopts the ARM11 processor P XA270 chip of technical grade.
8. the automotive safety DAS (Driver Assistant System) based on the monocular range finding as claimed in claim 1 is characterized in that described display module adopts the LCD LCDs.
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011201058444U CN202018744U (en) | 2011-04-12 | 2011-04-12 | Vehicle safety driving assisting system based on monocular distance measurement |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011201058444U CN202018744U (en) | 2011-04-12 | 2011-04-12 | Vehicle safety driving assisting system based on monocular distance measurement |
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| CN202018744U true CN202018744U (en) | 2011-10-26 |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102506814A (en) * | 2011-11-10 | 2012-06-20 | 河北汉光重工有限责任公司 | Passive visible light monocular distance measuring device |
| CN103164975A (en) * | 2011-12-12 | 2013-06-19 | 株式会社电装 | Warning system, vehicular apparatus, and server |
| CN103465826A (en) * | 2013-09-13 | 2013-12-25 | 无锡商业职业技术学院 | Automotive scratch-proof warning system |
| CN103770703A (en) * | 2012-10-19 | 2014-05-07 | 纳诺科技股份有限公司 | Driving image identification device and method thereof |
| GB2538049A (en) * | 2015-04-15 | 2016-11-09 | Westcotec Ltd | Vehicle proximity warning apparatus and systems, and methods of warning of the proximity of two vehicles |
| CN106556840A (en) * | 2015-09-30 | 2017-04-05 | 比亚迪股份有限公司 | The control method of trailer-mounted radar, trailer-mounted radar and vehicle |
| CN111332305A (en) * | 2018-12-18 | 2020-06-26 | 朱向雷 | Active early warning type traffic road perception auxiliary driving early warning system |
-
2011
- 2011-04-12 CN CN2011201058444U patent/CN202018744U/en not_active Expired - Fee Related
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102506814A (en) * | 2011-11-10 | 2012-06-20 | 河北汉光重工有限责任公司 | Passive visible light monocular distance measuring device |
| CN103164975A (en) * | 2011-12-12 | 2013-06-19 | 株式会社电装 | Warning system, vehicular apparatus, and server |
| CN103164975B (en) * | 2011-12-12 | 2015-08-19 | 株式会社电装 | Warning system, mobile unit and server |
| CN103770703A (en) * | 2012-10-19 | 2014-05-07 | 纳诺科技股份有限公司 | Driving image identification device and method thereof |
| CN103465826A (en) * | 2013-09-13 | 2013-12-25 | 无锡商业职业技术学院 | Automotive scratch-proof warning system |
| CN103465826B (en) * | 2013-09-13 | 2015-09-02 | 无锡商业职业技术学院 | The anti-scraping forewarn system of a kind of automobile |
| GB2538049A (en) * | 2015-04-15 | 2016-11-09 | Westcotec Ltd | Vehicle proximity warning apparatus and systems, and methods of warning of the proximity of two vehicles |
| CN106556840A (en) * | 2015-09-30 | 2017-04-05 | 比亚迪股份有限公司 | The control method of trailer-mounted radar, trailer-mounted radar and vehicle |
| CN111332305A (en) * | 2018-12-18 | 2020-06-26 | 朱向雷 | Active early warning type traffic road perception auxiliary driving early warning system |
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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: 20111026 Termination date: 20120412 |