CN105741496A - Vehicle anti-collision terminal based on machine vision - Google Patents
Vehicle anti-collision terminal based on machine vision Download PDFInfo
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- CN105741496A CN105741496A CN201610287662.0A CN201610287662A CN105741496A CN 105741496 A CN105741496 A CN 105741496A CN 201610287662 A CN201610287662 A CN 201610287662A CN 105741496 A CN105741496 A CN 105741496A
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- 238000012545 processing Methods 0.000 claims abstract description 40
- 238000012544 monitoring process Methods 0.000 claims abstract description 27
- 238000000034 method Methods 0.000 claims description 16
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- 238000005259 measurement Methods 0.000 claims description 5
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
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Abstract
The invention discloses a vehicle anti-collision terminal based on machine vision. The vehicle anti-collision terminal comprises the components of a plurality of cameras which are used for acquiring the face image of a driver and a vehicle surrounding condition, a video acquisition card which is connected with the plurality of cameras, a vehicle GPS speed meter, a speed reducer, a machine vision ranging information processor and a fatigue data processing control module, wherein the machine vision ranging information processor and the fatigue data processing control module are all connected with an alarm unit and a remote monitoring unit. The fatigue data processing control module is connected with the video acquisition card. The machine vision ranging information processor is connected with the video acquisition card. The fatigue data processing control module is connected with the vehicle GPS speed meter and the speed reducer. According to the vehicle anti-collision terminal, quick and accurate data processing is realized. Not only can fatigue information of a driver and blind area condition be monitored, but also braking and speed reduction can be performed on the vehicle in emergency, thereby preventing accidents caused by improper vehicle speed control.
Description
Technical field
The present invention relates to early warning field, be specifically related to the collision prevention of vehicle terminal based on machine vision.
Background technology
In the world, fatigue driving and mass transit vehicle are due to traffic complex, big by tonnage, car body is huge, limited view, vehicle accidents is the main cause of traffic fatalities to have the impact of the factors such as blind area to occur.Multiple studies have shown that both at home and abroad, cause in the even dead accident of personal injury 20% to be above being caused by fatigue driving.Driver is when fatigue, and it is to the perception of surrounding, situation judgement and the manipulation ability of vehicle all will be greatly lowered, and vehicle accident very easily occurs.It addition, human pilot when limited view, have a blind area be also susceptible to vehicle accident.Especially to the professional driver being engaged in passenger on long-distance routes's shipping driving, railway locomotive driving, engineering truck driving etc., due to long-time, super-strength driving task, it is easier to fatigue driving accident occurs.Therefore the fatigue state of how actively detection driver and solve the situation of mass transit vehicle limited view and blind area, when causing danger situation, can in time to vehicle deceleration when human pilot does not take deceleration measure in time, it is to avoid owing to speed controls the improper security incident caused.
Summary of the invention
Instant invention overcomes the deficiencies in the prior art, collision prevention of vehicle terminal based on machine vision is provided, this device processes data quick and precisely, tired information and the blind area situation of human pilot can not only be monitored, deceleration can also be braked, it is to avoid owing to speed controls the improper vehicle accident caused under vehicle is in emergency situation.
For solving above-mentioned technical problem, the present invention is by the following technical solutions: based on the collision prevention of vehicle terminal of machine vision, including face-image and vehicle periphery situation for gathering driver multiple photographic head, connect the video frequency collection card of multiple photographic head, vehicle GPS tachymeter, decelerator, machine vision ranging information processor and fatigue data processing and control module, machine vision ranging information processor therein and fatigue data processing and control module are all simultaneously connected with alarm unit and remote monitoring unit；Described for the face-image gathered being processed and adopting the fatigue data processing and control module connection video frequency collection card obtaining fatigue state discriminant criterion based on machine vision analysis method calculating, utilize the vehicle periphery situation map picture gathered to carry out the machine vision ranging information processor connection video frequency collection card for Road Detection, target recognition and range measurement；Described fatigue data processing and control module is also simultaneously connected with vehicle GPS tachymeter and decelerator.
The face-image of the human pilot that fatigue data processing and control module is passed over by video frequency collection card, utilizes the existing technology analyzing method calculating fatigue state discriminant criterion based on machine vision, thus judging that whether driver is tired.This technology is technology conventional in current recognition of face fatigue detecting system, and the Chinese invention patent if publication number is CN101593425A just proposes such fatigue detecting technology.If there is tired situation, passing information to alarm unit, by alarm unit early warning human pilot, there is fatigue driving in prevention, passes it to remote monitoring unit simultaneously and carries out storing and monitoring, facilitates the later stage to manage concentratedly.Owing to Large freight vehicle volume is bigger, only it is easy to that viewing blind zone occurs by human pilot perusal, and the road condition information that machine vision ranging information processor can be collected by video frequency collection card, realize Road Detection, vehicle periphery target recognition and and vehicle periphery target between range measurement, if danger occurs, feed back information to alarm unit warning reminding human pilot and be sent to observation monitoring unit storage and management, this process have employed multiple photographic head, by photographic head being arranged on the front of vehicle, left back, right back, measure both sides and other blind spot region, thus clearing away blind spot, maximized vehicle and the surrounding objects of avoiding the occurrence of collides event, it is highly suitable on Large freight vehicle and uses.In vehicle operation, the generation of security incident often has only to the time of several seconds together, to the monitoring of human pilot fatigue driving and vehicle is likely to occur in the process of moving the monitoring of collision is used that independent processor carries out data process in this programme, both operations are independent of each other, mutually supplement, substantially increase the speed processing data, striven for valuable time for human pilot, greatly reduced driving risk.This device can not only realize the monitoring to fatigue driving, moreover it is possible to maximized collision free, and driver and crew are carried out many-sided protection, increases the protection to driver and crew.The vehicle GPS tachymeter connected in fatigue data processing and control module can detect the vehicle speed condition of vehicle at any time and pass to fatigue data processing and control module, if Vehicle Speed exceedes setting value, then the alarm of alarm unit can occur, fatigue data processing and control module also can be utilized to act on decelerator simultaneously, allow vehicle deceleration, it is to avoid the vehicle accident causing speed too fast owing to human pilot slows down not in time and causing occurs.Additionally, threat data information is collected by alarm unit to after human pilot early warning for machine vision ranging information processor, but human pilot does not make corresponding reaction, now this information then can be fed back to fatigue data processing and control module and acts on decelerator vehicle is carried out deceleration-operation by alarm unit, further ensures driving safety.
Described fatigue data processing and control module is also connected with GPS and positions terminal.Vehicle position information can be positioned, and this information be passed through communication network transmission to remote monitoring unit, facilitate the later stage that vehicle is positioned management.
Described fatigue data processing and control module includes for analyzing the dsp processor of method calculating fatigue state discriminant criterion and car speed monitoring control based on machine vision and for controlling the arm processor of the output of giving fatigue pre-warning.In order to ensure the accurate of fatigue driving data, typically require the substantial amounts of data of analysis to determine whether fatigue driving, therefore this place arranges two processors and respectively different data to be processed, and further raising processes data capability and accuracy, it is ensured that the safety of driver and crew.
Described alarm unit includes audition prior-warning device, vision prior-warning device, sense of touch prior-warning device and alarm.Driver and crew adopt the mode that the various ways such as audition, vision, sense of touch and audible alarm combine can adapt to different types of human needs, reaches the purpose that human pilot can quickly be found.
Described remote monitoring unit includes interconnective controller and display.
Described machine vision ranging information processor is arm processor.
The plurality of photographic head is all with light compensating lamp.Being also can collect image clearly at night, it is ensured that final analysis result accurate.
Compared with prior art, the invention has the beneficial effects as follows:
1, to the monitoring of human pilot fatigue driving and vehicle is likely to occur in the process of moving the monitoring of collision is used that independent processor carries out data process in this programme, both operations are independent of each other, mutually supplement, substantially increase the speed processing data, strive for valuable time for human pilot, greatly reduce driving risk.
2, the vehicle GPS tachymeter connected in fatigue data processing and control module can detect the vehicle speed condition of vehicle at any time and pass to fatigue data processing and control module, if Vehicle Speed exceedes setting value, then the alarm of alarm unit can occur, fatigue data processing and control module also can be utilized to act on decelerator simultaneously, allow vehicle deceleration, it is to avoid the vehicle accident causing speed too fast owing to human pilot slows down not in time and causing occurs.
3, threat data information is collected by alarm unit to after human pilot early warning for machine vision ranging information processor, but human pilot does not make corresponding reaction, now this information then can be fed back to fatigue data processing and control module and acts on decelerator vehicle is carried out deceleration-operation by alarm unit, further ensures driving safety.
Accompanying drawing explanation
Fig. 1 is principles of the invention block diagram.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is further elaborated, and embodiments of the invention are not limited to this.
Embodiment 1:
As shown in Figure 1, the present invention includes multiple photographic head of the face-image for gathering driver and vehicle periphery situation, connects the video frequency collection card of multiple photographic head, vehicle GPS tachymeter, decelerator, machine vision ranging information processor and fatigue data processing and control module, and machine vision ranging information processor therein and fatigue data processing and control module are all simultaneously connected with alarm unit and remote monitoring unit；Described for the face-image gathered being processed and adopting the fatigue data processing and control module connection video frequency collection card obtaining fatigue state discriminant criterion based on machine vision analysis method calculating, utilize the vehicle periphery situation map picture gathered to carry out the machine vision ranging information processor connection video frequency collection card for Road Detection, target recognition and range measurement；Described fatigue data processing and control module is also simultaneously connected with vehicle GPS tachymeter and decelerator.
The face-image of the human pilot that fatigue data processing and control module is passed over by video frequency collection card, utilizes the existing technology analyzing method calculating fatigue state discriminant criterion based on machine vision, thus judging that whether driver is tired.This technology is technology conventional in current recognition of face fatigue detecting system, and the Chinese invention patent if publication number is CN101593425A just proposes such fatigue detecting technology.If there is tired situation, passing information to alarm unit, by alarm unit early warning human pilot, there is fatigue driving in prevention, passes it to remote monitoring unit simultaneously and carries out storing and monitoring, facilitates the later stage to manage concentratedly.Owing to Large freight vehicle volume is bigger, only it is easy to that viewing blind zone occurs by human pilot perusal, and the road condition information that machine vision ranging information processor can be collected by video frequency collection card, realize Road Detection, vehicle periphery target recognition and and vehicle periphery target between range measurement, if danger occurs, feed back information to alarm unit warning reminding human pilot and be sent to observation monitoring unit storage and management, this process have employed multiple photographic head, by photographic head being arranged on the front of vehicle, left back, right back, measure both sides and other blind spot region, thus clearing away blind spot, maximized vehicle and the surrounding objects of avoiding the occurrence of collides event, it is highly suitable on Large freight vehicle and uses.In vehicle operation, the generation of security incident often has only to the time of several seconds together, to the monitoring of human pilot fatigue driving and vehicle is likely to occur in the process of moving the monitoring of collision is used that independent processor carries out data process in this programme, both operations are independent of each other, mutually supplement, substantially increase the speed processing data, striven for valuable time for human pilot, greatly reduced driving risk.This device can not only realize the monitoring to fatigue driving, moreover it is possible to maximized collision free, and driver and crew are carried out many-sided protection, increases the protection to driver and crew.The vehicle GPS tachymeter connected in fatigue data processing and control module can detect the vehicle speed condition of vehicle at any time and pass to fatigue data processing and control module, if Vehicle Speed exceedes setting value, then the alarm of alarm unit can occur, fatigue data processing and control module also can be utilized to act on decelerator simultaneously, allow vehicle deceleration, it is to avoid the vehicle accident causing speed too fast owing to human pilot slows down not in time and causing occurs.Additionally, threat data information is collected by alarm unit to after human pilot early warning for machine vision ranging information processor, but human pilot does not make corresponding reaction, now this information then can be fed back to fatigue data processing and control module and acts on decelerator vehicle is carried out deceleration-operation by alarm unit, further ensures driving safety.
Embodiment 2:
The present embodiment is preferably as follows on the basis of embodiment 1: described fatigue data processing and control module is also connected with GPS and positions terminal.Vehicle position information can be positioned, and this information be passed through communication network transmission to remote monitoring unit, facilitate the later stage that vehicle is positioned management.
Fatigue data processing and control module includes for analyzing the dsp processor of method calculating fatigue state discriminant criterion and car speed monitoring control based on machine vision and for controlling the arm processor of the output of giving fatigue pre-warning.
In order to ensure the Monitoring and Controlling accurately and to vehicle out of Memory of fatigue driving data, typically require the substantial amounts of data of analysis to determine whether fatigue driving, therefore this place arranges two processors and respectively different data to be processed, further raising processes data capability and accuracy, it is ensured that the safety of driver and crew.
Described alarm unit includes audition prior-warning device, vision prior-warning device, sense of touch prior-warning device and alarm.Driver and crew adopt the mode that the various ways such as audition, vision, sense of touch and audible alarm combine can adapt to different types of human needs, reaches the purpose that human pilot can quickly be found.
Described remote monitoring unit includes interconnective controller and display.Utilize controller the data received carry out storage management and shows over the display, facilitate management personnel to consult.
Described machine vision ranging information processor is arm processor.
The plurality of photographic head is all with light compensating lamp.Being also can collect image clearly at night, it is ensured that final analysis result accurate.
Just this invention can be realized as mentioned above.
Claims (7)
1. based on the collision prevention of vehicle terminal of machine vision, it is characterized in that: including multiple photographic head of the face-image for gathering driver and vehicle periphery situation, connect the video frequency collection card of multiple photographic head, vehicle GPS tachymeter, decelerator, machine vision ranging information processor and fatigue data processing and control module, machine vision ranging information processor therein and fatigue data processing and control module are all simultaneously connected with alarm unit and remote monitoring unit；Described for the face-image gathered being processed and adopting the fatigue data processing and control module connection video frequency collection card obtaining fatigue state discriminant criterion based on machine vision analysis method calculating, utilize the vehicle periphery situation map picture gathered to carry out the machine vision ranging information processor connection video frequency collection card for Road Detection, target recognition and range measurement；Described fatigue data processing and control module is also simultaneously connected with vehicle GPS tachymeter and decelerator.
2. the collision prevention of vehicle terminal based on machine vision according to claim 1, it is characterised in that: described fatigue data processing and control module is also connected with GPS and positions terminal.
3. the collision prevention of vehicle terminal based on machine vision according to claim 1, it is characterised in that: described fatigue data processing and control module includes for analyzing the dsp processor of method calculating fatigue state discriminant criterion and car speed monitoring control based on machine vision and for controlling the arm processor of the output of giving fatigue pre-warning.
4. the collision prevention of vehicle terminal based on machine vision according to claim 1, it is characterised in that: described alarm unit includes audition prior-warning device, vision prior-warning device, sense of touch prior-warning device and alarm.
5. the collision prevention of vehicle terminal based on machine vision according to claim 1, it is characterised in that: described remote monitoring unit includes interconnective controller and display.
6. the collision prevention of vehicle terminal based on machine vision according to claim 1, it is characterised in that: described machine vision ranging information processor is arm processor.
7. the collision prevention of vehicle terminal based on machine vision according to claim 1, it is characterised in that: the plurality of photographic head is all with light compensating lamp.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610287662.0A CN105741496A (en) | 2016-05-04 | 2016-05-04 | Vehicle anti-collision terminal based on machine vision |
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| CN201610287662.0A CN105741496A (en) | 2016-05-04 | 2016-05-04 | Vehicle anti-collision terminal based on machine vision |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106991786A (en) * | 2017-06-07 | 2017-07-28 | 孝感市青谷信息科技有限公司 | One kind communication sensing glass anti-collision early warning method and device |
| CN109489713A (en) * | 2017-09-12 | 2019-03-19 | 郑州宇通客车股份有限公司 | A kind of automatic recognition system of automobile and its road deterioration extent |
| CN110774981A (en) * | 2019-11-18 | 2020-02-11 | 贵州玖捌汽车大数据贸易服务有限公司 | Vehicle-mounted active safety control terminal |
| CN112009470A (en) * | 2020-09-08 | 2020-12-01 | 科大讯飞股份有限公司 | Vehicle running control method, device, equipment and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201808556U (en) * | 2010-10-12 | 2011-04-27 | 河北工业大学 | Intelligent anti-collision system of automobiles in multiple road conditions |
| CN102568158A (en) * | 2010-12-15 | 2012-07-11 | 淄博高新区联创科技服务中心 | Alarming system for automobile vehicle fatigue driving |
| CN103043021A (en) * | 2013-01-04 | 2013-04-17 | 浙江海康集团有限公司 | Omni-directional automotive active safety system with integrated five-channel video detection function |
| CN202923638U (en) * | 2012-10-31 | 2013-05-08 | 惠州市德赛西威汽车电子有限公司 | Lane detection and deviation early warning device |
| CN204087490U (en) * | 2014-09-19 | 2015-01-07 | 苏州清研微视电子科技有限公司 | A kind of giving fatigue pre-warning system based on machine vision |
| JP2015140181A (en) * | 2014-01-29 | 2015-08-03 | コンチネンタル オートモーティブ システムズ インコーポレイテッドＣｏｎｔｉｎｅｎｔａｌ Ａｕｔｏｍｏｔｉｖｅ Ｓｙｓｔｅｍｓ， Ｉｎｃ． | Method for minimizing brake intervention based on collision certainty factor |
| US20160031479A1 (en) * | 2011-02-18 | 2016-02-04 | Honda Motor Co., Ltd. | Coordinated vehicle response system and method for driver behavior |
| CN205608963U (en) * | 2016-05-04 | 2016-09-28 | 成都贝森伟任科技有限责任公司 | Vehicle buffer stop based on machine vision |
-
2016
- 2016-05-04 CN CN201610287662.0A patent/CN105741496A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201808556U (en) * | 2010-10-12 | 2011-04-27 | 河北工业大学 | Intelligent anti-collision system of automobiles in multiple road conditions |
| CN102568158A (en) * | 2010-12-15 | 2012-07-11 | 淄博高新区联创科技服务中心 | Alarming system for automobile vehicle fatigue driving |
| US20160031479A1 (en) * | 2011-02-18 | 2016-02-04 | Honda Motor Co., Ltd. | Coordinated vehicle response system and method for driver behavior |
| CN202923638U (en) * | 2012-10-31 | 2013-05-08 | 惠州市德赛西威汽车电子有限公司 | Lane detection and deviation early warning device |
| CN103043021A (en) * | 2013-01-04 | 2013-04-17 | 浙江海康集团有限公司 | Omni-directional automotive active safety system with integrated five-channel video detection function |
| JP2015140181A (en) * | 2014-01-29 | 2015-08-03 | コンチネンタル オートモーティブ システムズ インコーポレイテッドＣｏｎｔｉｎｅｎｔａｌ Ａｕｔｏｍｏｔｉｖｅ Ｓｙｓｔｅｍｓ， Ｉｎｃ． | Method for minimizing brake intervention based on collision certainty factor |
| CN204087490U (en) * | 2014-09-19 | 2015-01-07 | 苏州清研微视电子科技有限公司 | A kind of giving fatigue pre-warning system based on machine vision |
| CN205608963U (en) * | 2016-05-04 | 2016-09-28 | 成都贝森伟任科技有限责任公司 | Vehicle buffer stop based on machine vision |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106991786A (en) * | 2017-06-07 | 2017-07-28 | 孝感市青谷信息科技有限公司 | One kind communication sensing glass anti-collision early warning method and device |
| CN106991786B (en) * | 2017-06-07 | 2023-06-23 | 泰州飞帆船舶科技有限公司 | Communication sensing glass anti-collision early warning method and device |
| CN109489713A (en) * | 2017-09-12 | 2019-03-19 | 郑州宇通客车股份有限公司 | A kind of automatic recognition system of automobile and its road deterioration extent |
| CN110774981A (en) * | 2019-11-18 | 2020-02-11 | 贵州玖捌汽车大数据贸易服务有限公司 | Vehicle-mounted active safety control terminal |
| CN112009470A (en) * | 2020-09-08 | 2020-12-01 | 科大讯飞股份有限公司 | Vehicle running control method, device, equipment and storage medium |
| CN112009470B (en) * | 2020-09-08 | 2022-01-14 | 科大讯飞股份有限公司 | Vehicle running control method, device, equipment and storage medium |
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