CN101941399B - Vehicle lane change auxiliary device and auxiliary judgment method thereof - Google Patents

Vehicle lane change auxiliary device and auxiliary judgment method thereof Download PDF

Info

Publication number
CN101941399B
CN101941399B CN2010102842383A CN201010284238A CN101941399B CN 101941399 B CN101941399 B CN 101941399B CN 2010102842383 A CN2010102842383 A CN 2010102842383A CN 201010284238 A CN201010284238 A CN 201010284238A CN 101941399 B CN101941399 B CN 101941399B
Authority
CN
China
Prior art keywords
vehicle
rear flank
image
mark post
relative distance
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
Application number
CN2010102842383A
Other languages
Chinese (zh)
Other versions
CN101941399A (en
Inventor
郭应时
彭金栓
詹盛
付锐
袁伟
王畅
张琼
李山虎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changan University
Original Assignee
Changan University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Changan University filed Critical Changan University
Priority to CN2010102842383A priority Critical patent/CN101941399B/en
Publication of CN101941399A publication Critical patent/CN101941399A/en
Application granted granted Critical
Publication of CN101941399B publication Critical patent/CN101941399B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The invention relates to the field of driving safety of motor vehicles, and discloses a vehicle lane change auxiliary device and an auxiliary judgment method thereof. The vehicle lane change auxiliary device comprises two cameras, a green signal lamp for indicating safety, a red signal lamp for indicating unsafety, and an image processor, wherein the image processor is electrically connected with video lines of the two cameras respectively through a USB interface, and electrically connected with the green signal lamp, the red signal lamp, a speed signal line of the vehicle, a left steering lamp opening signal line and a right steering lamp opening signal line through an I/O interface. The auxiliary judgment method comprises the following steps: acquiring road images by using the cameras, computing the longitudinal relative distance, longitudinal relative speed and lateral distance of the self vehicle and the vehicle at the rear lateral side, and comprehensively judging the lane change safety of the vehicle.

Description

A kind of vehicle lane changing aid and auxiliary judgment method thereof
Technical field
The present invention relates to the vehicle driving security fields, particularly a kind of vehicle lane changing aid and auxiliary judgment method thereof.
Background technology
The lane changing behavior and the traffic safety of automobile driver are closely related, and statistics shows, because the behavior of off-square lane changing has caused a large amount of traffic accidents, have brought massive losses for the people's lives and property safety.Chaufeur uses left and right back mirror and room mirror to observe its rear flank vehicle when carrying out lane changing usually, judges parameters such as the horizontal relative distance between rear flank vehicle and the vehicle, vertical relative distance, vertical relative velocity.Compare with front vehicles; Chaufeur will be stranded much more difficult when judging vertical relative distance of rear flank vehicle, vertical relative velocity through back mirror; The minute surface that major cause is back mirror will be on a large scale when imaging object image-forming on very little minute surface; Certain deformation all can take place in scene around rear flank vehicle and the road, causes chaufeur from back mirror, to be not easy to judge and information such as vertical relative distance of rear flank vehicle, vertical relative velocity, thereby in the process of changing, holds not enough for the safety of changing; Appear at easily and change operation under unsafe situation, cause traffic accident.
At present, to the technological method that enlarges the back mirror range of observation that adopts usually of the lane changing of vehicle,, or little back mirror is installed on engine case like installation circular convex mirror outside back mirror.Adopt said method can increase chaufeur range of observation to the rear flank vehicle in the lane changing process, be not easy to judge the problem of vertical relative distance, vertical relative velocity when still not having to solve through back mirror observation rear flank vehicle.
At present; The method that vehicle rear bumper installation radar is monitored the rear flank vehicle that is employed in is arranged on high-grade car; This method can provide the lane changing process of chaufeur and assist help; But costing an arm and a leg of radar sensor more than 50,000 Renminbi, is not suitable for carrying out large-scale promotion and uses usually.
Summary of the invention
The object of the present invention is to provide a kind of vehicle lane changing aid and auxiliary judgment method thereof; Few, the suitable large-scale promotion of this vehicle lane changing aid investment cost, its auxiliary judgment method, intelligent, automation; Need not operation, and reliability is high.
Groundwork of the present invention is through using two cameras to gather the road image that chaufeur is opened vehicle left back under the steering indicating light situation or vehicle right abaft, and the road image with vehicle left back or vehicle right abaft transfers to image processor then.Utilize image processing program in the image processor; Obtain the accurate position of rear flank vehicle in road image through image recognition; Because camera is with respect to the invariant position of vehicle; Therefore, the picture position of the different rear flank vehicles constantly that image recognition obtains just can access vertical relative distance of the relative vehicle of rear flank vehicle, vertical relative velocity and horizontal relative distance through geometrical calculation; Combine the moving velocity of vehicle that the safety of lane changing is assessed simultaneously; Assessment result is a safety and dangerous two kinds, through the signal lamp of use different colours assessment result is pointed out to chaufeur, assists help for the lane changing process of chaufeur provides.
In order to reach above-mentioned technical purpose, the present invention adopts following technical scheme to be achieved.
1, a kind of vehicle lane changing aid is characterized in that, comprising:
Two cameras are separately fixed on the left-hand mirror and right back visor of vehicle, gather the road image at vehicle rear, left side and rear, right side;
The greensignal light of an indication safety and the unsafe red eye of indication are separately fixed on the meter panel of motor vehicle;
An image processor; Be electrically connected the video line of two cameras respectively through USB interface, be electrically connected speed signal line, left steering lamp start signal line, the right steering lamp start signal line of greensignal light, red eye and vehicle respectively through the I/O interface.
The further improvement and the characteristics of technique scheme are:
Said camera adopts culminant star YJS-01 USB2.0 camera.
Said image processor is the ARM9 treater, and concrete model is S3C2410.
Said greensignal light is a green LED lamp, and red eye is a red LED lamp.
2, a kind of vehicle lane conversion auxiliary judgment method based on above-mentioned vehicle lane changing aid, is characterized in that, may further comprise the steps:
(1) left side camera calibration: mark post is erect at the rear, left side at vehicle; Through left side camera collection mark post image; Identify the mark post position in the mark post image; Mark post position in the mark post image and mark post actual position are demarcated vertical relative distance of conversion vehicle and mark post and horizontal relative distance;
(2) right side camera calibration, its method is with the left side camera calibration;
(3) IMAQ: vehicle is in motion process; Image processor is monitored the moving velocity of vehicle in real time; When the moving velocity of vehicle was higher than 10km/h, image processor was monitored left steering lamp start signal, right steering lamp start signal; Open a certainly when side steering indicating light installed when chaufeur, image processor is connected this side camera, gathers the road image of this side camera;
(4) image pretreatment: remove useless point and noise spot in the road image;
(5) the rear flank vehicle ' s contour extracts: to carrying out binary conversion treatment through the pretreated road image of image, extract the shape of rear flank vehicle in the road image, obtain the contour images of rear flank vehicle;
(6) extract the unique point of rear flank vehicle location, choose the unique point of rear flank vehicle, extract the position of this unique point in road image;
(7) vertically relative distance, vertically relative velocity and transverse distance calculating: obtain after the position of vehicle characteristics point in road image, rear flank vertical relative distance of conversion vehicle and rear flank vehicle and horizontal relative distance; Through vertical relative distance that double conversion is obtained, calculate vertical relative velocity of vehicle and rear flank vehicle in real time;
(8) change safety evaluation: according to vertical relative distance of vehicle that calculates in real time and rear flank vehicle, vertical relative velocity and transverse distance; The possibility that causes with the rear flank collision happens is changed in analysis, sends through red eye to be not suitable for changing caution or to send the prompting that can change through greensignal light.
The characteristics of technique scheme are: the said mid point of choosing the unique point of rear flank vehicle for its appearance profile lower edge line.
Vehicle lane changing aid of the present invention, major part adopt camera and ARM9 treater, and investment cost is few, simplicity of design, reliability height, and need too much not reequip vehicle.Vehicle lane conversion auxiliary judgment method of the present invention; Based on above-mentioned vehicle lane changing aid; The analytical calculation of the processing of its road image and lane changing safety is directly accomplished by the ARM9 treater, and is intelligent high, to the visual result of lane for driver conversion aid prompting, reliable.
Description of drawings
Fig. 1 is that the installation of camera reaches the shooting scheme drawing to vehicle left back and right abaft;
Fig. 2 is the signal input and output scheme drawing of ARM9 image processor;
Among the figure: 1, ARM9 treater; 2, left side camera; 3, right side camera; 4, LED lamp; 5, vehicle behind the left side; 6, vehicle behind the right side; 7, USB interface one; 8, USB interface two; 9, left steering modulating signal I/O interface; 10, right steering modulating signal I/O interface; 11, GES I/O interface; 12, greensignal light I/O interface; 13, red eye I/O interface.
The specific embodiment
With reference to Fig. 1, Fig. 2, in the auxiliary device of vehicle lane conversion, ARM9 treater 1 is installed in under-dash in the car.In the image collecting device, present embodiment adopts left side camera 2 and right side camera 3.Left side camera 2 adopts and is bolted on the left side back mirror of vehicle, and install camera lens vehicle 5 regions behind the left side.Right side camera 3 adopts and is bolted on the right rear of vehicle, and install camera lens vehicle 6 regions behind the right side.Red, green two LED lamps 4 are installed in the zone that gauge panel left handle drive person notices easily.Vehicle 6 being shaped as in camera institute images acquired is approximate rectangular behind left side back vehicle 5 and the right side.
ARM9 treater 1 is used to discern the moving velocity of vehicle through the speed signal of the intrinsic car speed sensor of speed signalling interface 11 collection vehicles, and ARM9 treater 1 will start vehicle lane conversion ancillary system when the speed of a motor vehicle is higher than 10km/h.ARM9 treater 1 is through the start signal of left and right steering indicating light signal I/ O interface 9,10 collection vehicle left steering lamps and the start signal of right steering lamp, is used to judge whether chaufeur is intended to carry out the direction that lane changing and intention are carried out lane changing.
The present embodiment camera adopts culminant star YJS-01 USB2.0 camera; Valid pixel 6,000,000; Left side camera 2 through the USB interface one 7 of usb data wire joint to the ARM9 treater, is passed through the USB interface two 8 of usb data wire joint to the ARM9 treater with right side camera 3.ARM9 treater 1 receives the road image of vehicle left back or the road image of right abaft; Obtain the rear flank vehicle location in the different road images constantly through image recognition; Obtain the fore-and-aft distance between vehicle and the rear flank vehicle, vertical relative velocity and transverse distance through geometrical calculation; In conjunction with Vehicle Speed the safety of lane changing is analyzed; Point out safety through greensignal light I/O interface 12 control greensignal lights to chaufeur, perhaps dangerous to the chaufeur prompting through red eye I/O interface 13 control red eyes.
When chaufeur was carried out the lane changing auxiliary judgment, because the time ratio that lane changing itself continues is shorter, therefore, the processing speed of the sampling frequency of camera and ARM9 treater 1 must satisfy the rapidity requirement of lane changing aid.The camera collection frequency that adopts in the present embodiment is 25Hz, and promptly the camera per second is gathered 25 frame pictures to vehicle left back or right abaft.1 pair of treatment of picture rate setting of ARM9 treater is 10Hz, and promptly the lane changing ancillary system can be carried out track conversion safety evaluation 10 times each second, meets the auxiliary rate requirement of lane changing.Because the sampling frequency of camera is higher than the processing frequency of ARM9, so system can normal operation, the phenomenon of picture lag can not occur.
In order to realize vehicle lane conversion auxiliary judgment method of the present invention, be the basis in conjunction with above-mentioned vehicle lane changing aid, concrete steps are following:
(1) camera, ARM9 treater and signal lamp are installed
Camera at first is installed, is used two identical cameras altogether, be installed in respectively on the back mirror of left side and on the right rear.Camera adopts thin bolt to be installed in the back mirror upper limb, and level is installed, and camera lens is towards rear view of vehicle.Because left-hand mirror or right back visor are not blocked in the installation of camera, so can not observe rear view of vehicle information through back mirror during the camera normal operation and bring interference chaufeur.Use the USB connection lead respectively the left side camera to be connected with the USB interface one, two of ARM9 treater with the right side camera.
The ARM9 treater is installed after the camera installation.The ARM9 treater is encapsulated in the can, carries out the signal transmission through the lead and the external world, and its installation site is arranged in the meter panel of motor vehicle inner space.Use lead that left steering modulating signal line, right steering modulating signal line and the vehicle speed signal line of vehicle are connected with the I/O interface of ARM9 treater respectively.
Red eye and greensignal light are fixed on the base; Utilize double faced adhesive tape base to be sticked on the gauge panel in chaufeur the place ahead; Wherein the position of base need be in the place that chaufeur is noticed easily; But it is too many to depart from the chaufeur normal line of sight, otherwise chaufeur can feel to pay particular attention to the state of ability observation signal lamp, has influence on normal driving behavior.
(2) camera calibration
With the left side camera calibration is example: mark post is erect at the rear, left side at vehicle; Through left side camera collection mark post image; Identify the mark post position in the mark post image; Mark post position in the mark post image and mark post actual position are demarcated vertical relative distance of conversion vehicle and mark post and horizontal relative distance.
Be specially: vehicle is parked in open area, is that starting point is rearward carried out range mark with vehicle rear bumper position, makes land marking, erects mark post in the land marking position.Control the mark post image of camera collection left back, left side then.Mark post image to collecting carries out analyzing and processing, identifies the mark post position in the mark post image.Because the mark post actual distance is known, can obtain the vertical relative distance of vehicle and mark post and the formula of mathematical of horizontal relative distance through camera calibration.
The right side camera calibration, its method is with the left side camera calibration.
(3) IMAQ and transmission
After the system start-up, the ARM9 treater starts the monitoring to Vehicle Speed and vehicle turn signal state.At first the condition of monitoring is the speed of a motor vehicle; Because road environment information more complicated; Less usually in the distance between the vehicle after vehicle and the ambient side under the low speed situation; And chaufeur is stronger relatively to the observation ability of surrounding environment under the low speed situation, can not occur the traffic accident that causes inadequately owing to the driver's observation ability usually.Therefore, the speed of a motor vehicle condition setting in the ARM9 treater is 10km/h, and promptly only under the situation of self speed of a motor vehicle greater than 10km/h, the ARM9 treater just carries out subsequent operation, otherwise will quit work.When self speed of a motor vehicle during greater than 10km/h, the ARM9 treater begins to monitor the steering indicating light state of vehicle, specifically comprises left steering lamp and right steering lamp.When the ARM9 treater monitored chaufeur unlatching steering indicating light, what at first judge the chaufeur unlatching was that is side steering indicating light installed, gathered the road image of this side camera then through USB interface.For example, after chaufeur was opened the left steering lamp, the ARM9 treater was judged chaufeur and is prepared lane change left, and the ARM9 treater will be gathered the road image of left side camera through USB interface this moment, then not gather for the road image of right side camera.
The ARM9 treater is according to the road image collection of GES and steering indicating light start signal control left side camera and right side camera; Till image acquisition process is closed to steering indicating light from chaufeur unlatching steering indicating light; But the shortest IMAQ time was set to for 10 seconds; This is because modern automobile has been installed the steering indicating light automatic closing system usually, and the situation that steering indicating light has been closed when occurring chaufeur sometimes and also do not accomplish lane changing is in order to guarantee that continuing that in subsequent process chaufeur is carried out lane changing provides auxiliary; The ARM9 treater is with continuous firing, and time length was 10 seconds.
(4) image pretreatment: remove useless point and noise spot in the road image.
The pretreated purpose of image is that removal left side camera or right side camera are gathered the interfere information in the road image.Because the environment property of there are differences of vehicle '; Occur and the irrelevant information of target vehicle through regular meeting in the road image that camera collected; These information can produce interference for follow-up distance calculation; Therefore in image processing process, at first road image is carried out filtering, specifically adopt median filtering algorithm to carry out.For the some pixels in the image, calculate this aviation value of 3 * 3 scope interior pixel point gray values on every side, with the gray value of this aviation value as this point.Can eliminate existing interfere information in the camera institute images acquired basically through using 3 * 3 median filtering algorithm.
(5) the rear flank vehicle ' s contour extracts: to carrying out binary conversion treatment through the pretreated road image of image, extract the shape of rear flank vehicle in the road image, obtain the contour images of rear flank vehicle.
To carrying out binary conversion treatment, extract the frontal aspect of rear flank vehicle in the road image through the pretreated road image of image.For left side camera and right side camera, all be that vehicle front carries out IMAQ to the rear flank vehicle from the rear flank, therefore in the road image that is collected the rear flank vehicle be shaped as frontal aspect.Adopting binarization method that image is carried out profile in the image processing program extracts; Detailed process is for setting a gray threshold, for the some points in the image, if this gray value is more than or equal to threshold value; Think that then this point belongs to rear flank vehicle in-scope; Change the gray value of this point into 0,, change the gray value of this point into 1 if instead the gray value of this point thinks then that less than threshold value this point does not belong to the rear flank vehicle region.After computing was accomplished in this way to a two field picture, the shape that gray value 0 part in the road image is formed was the shape of rear flank vehicle.
(6) unique point of extraction rear flank vehicle
The mid point of choosing lower edge in the vehicle end outline of rear flank is as unique point.Obtain the end outline of rear flank vehicle in road image behind the profile of extraction rear flank vehicle.Because the end outline of vehicle has integraty; Promptly extract the rear flank vehicle ' s contour that obtains and to be the approximate rectangular shape of an osed top; The actual front end of representing the rear flank vehicle of the lower edge of rectangle wherein, the distance of carrying out being adopted when the lane changing safety is calculated is the distance of vehicle rear bumper vehicle front bumper to the rear flank.The mid point that adopts lower edge in the vehicle end outline in the image processing program is as unique point; Concrete leaching process is: image processing program is analyzed the result who extracts the rear flank vehicle ' s contour; Recognition rule according to similar sealing rectangle identifies the rear flank vehicle in the road image; From the Closed Graph picture of similar rectangle, choose the mid point of lower edge then, obtain the vertical picture position and the landscape images position of lower edge mid point.
(7) vertically relative distance, vertically relative velocity and transverse distance calculating: obtain after the position of vehicle characteristics point in road image, rear flank vertical relative distance of conversion vehicle and rear flank vehicle and horizontal relative distance; Through vertical relative distance that double conversion is obtained, calculate vertical relative velocity of vehicle and rear flank vehicle in real time.
Obtain after the picture position of rear flank vehicle characteristics point; Utilize the mathematical relation between the resulting vertical picture position of camera calibration and actual fore-and-aft distance, landscape images position and the actual transverse distance to calculate the actual distance between rear flank vehicle and the vehicle, specifically comprise actual fore-and-aft distance and actual transverse distance.Its concrete process is: for the landscape images position x1 that obtains and vertical picture position value y1; Utilize mathematical relation f (x) and the vertical mathematical relation g (y) between picture position and the actual fore-and-aft distance between camera calibration resulting landscape images position and the actual transverse distance; X1 and y1 are updated to respectively among function f (x) and the g (y), calculate actual transverse distance value and actual fore-and-aft distance value.
Through vertical relative distance that double conversion is obtained; The actual fore-and-aft distance value that once calculates before the actual fore-and-aft distance value that obtains with a back computing deducts; The fore-and-aft distance that obtains between twice calculating is poor, obtains vertical relative velocity with the fore-and-aft distance difference divided by the time difference between twice calculating.When vertical relative velocity<0, represent that vehicle speed is lower than rear flank car speed, and vertical relative velocity >=represented that vehicle speed was higher than rear flank car speed at 0 o'clock.Vertically relative velocity is used to react the close velocity of rear flank vehicle, thereby can carry out the lane changing safety evaluation.For example in the rear flank vehicle at a high speed near the time to carry out lane changing be unsafe, need point out chaufeur.
(8) change safety evaluation: according to vertical relative distance of vehicle that calculates in real time and rear flank vehicle, vertical relative velocity and transverse distance; The possibility that causes with the rear flank collision happens is changed in analysis, sends through red eye to be not suitable for changing caution or to send the prompting that can change through greensignal light.
Obtain after fore-and-aft distance, transverse distance and the vertical relative velocity of vehicle and rear flank vehicle, image processing program changes safety evaluation, and assessment result is divided into two kinds of situation: safety and dangerous.If assessment result is a safety; Then will to control greensignal light luminous for the ARM9 treater, and the prompting chaufeur can change operation, if assessment result is dangerous; Then will to control red eye luminous for the ARM9 treater, and the prompting chaufeur is not suitable for carrying out the lane changing operation at this moment.Concrete estimation flow is following:
1. judge the size of transverse distance; The process of lane changing is that horizontal direction is subjected to displacement variation; And the lane changing process of common sense be from a lane changing to adjacent lane, if therefore in the change procedure of track the rear flank vehicle be not to be arranged in adjacent lane, but be arranged in farther track; Lane changing in this case is safe, therefore at first judges transverse distance.China's express highway track normal width is 3.75m, and the lane width of other roads can not considered certain elasticity modulus greater than 3.75m usually, adopts 4.5m as judgment value when judging the safety of transverse distance.When the transverse distance that calculates during greater than 4.5m; Show that carrying out lane changing can not bring interference to the cruising of vehicle behind the rear side; Safety assessment result is a safety, thus the ARM9 treater will to control greensignal light luminous, the prompting chaufeur can carry out lane changing.If during smaller or equal to 4.5m, need carrying out next step safety this moment, the transverse distance value that calculates judges.
2. setup parameter k, k=fore-and-aft distance/vehicle speed, wherein the vehicle speed unit is km/h, fore-and-aft distance unit is m, parameter k reaction be the follow-up time of rear flank vehicle.When rear flank vehicle following distance is very near, change the dead ahead that will cause vehicle to appear at the rear flank vehicle; And two close between the car; Thereby this anxiety that can cause back car chaufeur is taked brake operation; Can interfere with the normal operation of surrounding vehicles, strengthen the risk that rear-end collision takes place.The size of calculating parameter k adopts k=0.5 as threshold value, and the safety assessment result be dangerous when parameter k≤0.5, this moment the ARM9 treater will control red eye luminous, the prompting chaufeur can not change operation at this moment.When parameter k>0.5, will carry out next step lane changing safety evaluation.
3. judge the positive and negative of vertical relative velocity.When vertical relative velocity >=0, the speed of vehicle will be higher than or equal the rear flank car speed, and it is safe therefore changing this moment, and it is luminous that the ARM9 treater will be controlled greensignal light.When vertical relative velocity<0, will carry out next step lane changing safety evaluation.
4. setup parameter n; N=fore-and-aft distance/vertical relative velocity absolute value; Wherein the unit of fore-and-aft distance absolute value is m, and vertically the unit of relative velocity is m/s, parameter n reaction be the possibility that follows the collision happens accident in the lane changing process with the rear adjacent lane closely.Show vehicle positive at high speed in rear flank when parameter n value is very little near vehicle, if carry out lane changing then possibly cause collision happens accident approaching in the lane changing process this moment with high speed.The size of calculating parameter n adopts n=3 as threshold value, and the safety assessment result be dangerous when parameter n≤3, this moment the ARM9 treater will control red eye luminous, the prompting chaufeur can not change operation at this moment.As parameter n>3 the time, safety assessment result is a safety, so the ARM9 treater will to control greensignal light luminous, the prompting chaufeur can carry out lane changing.
Through above-mentioned 4 step lane changing safety evaluations, obtain the safety of lane changing, when assessment result when being safe; ARM9 treater control greensignal light is luminous, can carry out lane changing this moment to the chaufeur prompting, when assessment result when being dangerous; ARM9 treater control red eye is luminous; Be not suitable for carrying out lane changing this moment to the chaufeur prompting, realize aid prompting function, thereby guarantee the safe operation of vehicle the lane for driver conversion.

Claims (2)

1. vehicle lane conversion auxiliary judgment method, based on the vehicle lane changing aid, said vehicle lane changing aid comprises:
Two cameras are separately fixed on the left-hand mirror and right back visor of vehicle, gather the road image at vehicle rear, left side and rear, right side;
The greensignal light of an indication safety and the unsafe red eye of indication are separately fixed on the meter panel of motor vehicle;
An image processor; Be electrically connected the video line of two cameras respectively through USB interface, be electrically connected speed signal line, left steering lamp start signal line, the right steering lamp start signal line of greensignal light, red eye and vehicle respectively through the I/O interface;
It is characterized in that, may further comprise the steps:
(1) left side camera calibration: mark post is erect at the rear, left side at vehicle; Through left side camera collection mark post image; Identify the mark post position in the mark post image; Mark post position in the mark post image and mark post actual position are demarcated vertical relative distance of conversion vehicle and mark post and horizontal relative distance;
(2) right side camera calibration, its method is with the left side camera calibration;
(3) IMAQ: vehicle is in motion process; Image processor is monitored the moving velocity of vehicle in real time; When the moving velocity of vehicle was higher than 10km/h, image processor was monitored left steering lamp start signal, right steering lamp start signal; Open a certainly when side steering indicating light installed when chaufeur, image processor is connected this side camera, gathers the road image of this side camera;
(4) image pretreatment: remove useless point and noise spot in the road image;
(5) the rear flank vehicle ' s contour extracts: to carrying out binary conversion treatment through the pretreated road image of image, extract the shape of rear flank vehicle in the road image, obtain the contour images of rear flank vehicle;
(6) extract the unique point of rear flank vehicle location, choose the unique point of rear flank vehicle, extract the position of this unique point in road image;
(7) vertically relative distance, vertically relative velocity and transverse distance calculating: obtain after the position of vehicle characteristics point in road image, rear flank vertical relative distance of conversion vehicle and rear flank vehicle and horizontal relative distance; Through vertical relative distance that double conversion is obtained, calculate vertical relative velocity of vehicle and rear flank vehicle in real time;
(8) change safety evaluation: according to vertical relative distance of vehicle that calculates in real time and rear flank vehicle, vertical relative velocity and transverse distance; The possibility that causes with the rear flank collision happens is changed in analysis, sends through red eye to be not suitable for changing caution or to send the prompting that can change through greensignal light.
2. vehicle lane conversion auxiliary judgment method according to claim 1, its characteristics are, the said mid point of choosing the unique point of rear flank vehicle for its appearance profile lower edge line.
CN2010102842383A 2010-09-17 2010-09-17 Vehicle lane change auxiliary device and auxiliary judgment method thereof Expired - Fee Related CN101941399B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010102842383A CN101941399B (en) 2010-09-17 2010-09-17 Vehicle lane change auxiliary device and auxiliary judgment method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010102842383A CN101941399B (en) 2010-09-17 2010-09-17 Vehicle lane change auxiliary device and auxiliary judgment method thereof

Publications (2)

Publication Number Publication Date
CN101941399A CN101941399A (en) 2011-01-12
CN101941399B true CN101941399B (en) 2012-05-30

Family

ID=43433669

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010102842383A Expired - Fee Related CN101941399B (en) 2010-09-17 2010-09-17 Vehicle lane change auxiliary device and auxiliary judgment method thereof

Country Status (1)

Country Link
CN (1) CN101941399B (en)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5977059B2 (en) * 2012-03-29 2016-08-24 富士通テン株式会社 Radar apparatus and signal processing method
CN102800213B (en) * 2012-08-27 2014-06-18 武汉大学 Traffic-priority-based lane change danger collision avoiding method
CN103057470B (en) * 2012-12-06 2015-09-16 重庆交通大学 A kind of vehicle peccancy line ball pre-tip device and reminding method thereof
CN102963300B (en) * 2012-12-07 2015-01-28 长安大学 Prompting device for preventing vehicle from colliding with non-motor vehicles when turning corners and prompting method thereof
CN103313039B (en) * 2013-05-29 2016-12-28 长安大学 A kind of freeway tunnel entrance security prompt device on daytime and reminding method
CN103587529B (en) * 2013-10-12 2018-03-06 长安大学 A kind of straight way section lane-change process gets over line moment forecasting system and Forecasting Methodology
CN104553985B (en) * 2013-10-28 2017-01-25 上海通用汽车有限公司 Automobile steering auxiliary system
CN104260723B (en) * 2014-09-29 2018-03-06 长安大学 A kind of front vehicle motion state tracking prediction meanss and Forecasting Methodology
JP6078116B2 (en) * 2015-07-09 2017-02-08 富士重工業株式会社 Vehicle driving support device
CN105730443B (en) * 2016-04-08 2019-01-01 奇瑞汽车股份有限公司 Vehicle lane change control method and system
CN106128115B (en) * 2016-08-01 2018-11-30 青岛理工大学 A kind of fusion method based on twin camera detection Traffic Information
CN106379237B (en) * 2016-09-30 2018-08-21 西南交通大学 Vehicle lane-changing overall process DAS (Driver Assistant System) based on augmented reality
TWI645998B (en) * 2017-12-15 2019-01-01 財團法人車輛研究測試中心 Transformation lane decision and trajectory planning method
JP6688338B2 (en) * 2018-06-15 2020-04-28 本田技研工業株式会社 Vehicle control device, vehicle control method, and program
US10782689B2 (en) * 2018-08-10 2020-09-22 Pony Ai Inc. Systems and methods for selectively capturing sensor data of an autonomous vehicle using a sensor guide rail
CN109334667B (en) * 2018-10-30 2020-06-09 奇瑞汽车股份有限公司 Intelligent vehicle lane change control method and device
CN110281923A (en) * 2019-06-28 2019-09-27 信利光电股份有限公司 A kind of vehicle auxiliary lane change method, apparatus and system
CN111105618B (en) * 2019-12-30 2021-06-15 北京中交兴路车联网科技有限公司 Method and system for judging parking state of vehicle on highway
CN113428141B (en) * 2021-07-15 2022-12-09 东风汽车集团股份有限公司 Intelligent detection method and system for timely response of emergency cut-in of front vehicle

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6546118B1 (en) * 1998-01-12 2003-04-08 Matsushita Electronic Industrial Co., Ltd. Image processing apparatus for vehicle
CN2761472Y (en) * 2004-12-30 2006-03-01 张金钫 Omnibearing monitoring device for automobile
CN101469991A (en) * 2007-12-26 2009-07-01 南京理工大学 All-day structured road multi-lane line detection method
CN201576094U (en) * 2009-12-25 2010-09-08 樊涛 Safety travelling positioning system of vehicle
CN201881988U (en) * 2010-09-17 2011-06-29 长安大学 Vehicle lane changing auxiliary device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10111939A (en) * 1996-10-08 1998-04-28 Mitsubishi Electric Corp On-vehicle image processor

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6546118B1 (en) * 1998-01-12 2003-04-08 Matsushita Electronic Industrial Co., Ltd. Image processing apparatus for vehicle
CN2761472Y (en) * 2004-12-30 2006-03-01 张金钫 Omnibearing monitoring device for automobile
CN101469991A (en) * 2007-12-26 2009-07-01 南京理工大学 All-day structured road multi-lane line detection method
CN201576094U (en) * 2009-12-25 2010-09-08 樊涛 Safety travelling positioning system of vehicle
CN201881988U (en) * 2010-09-17 2011-06-29 长安大学 Vehicle lane changing auxiliary device

Also Published As

Publication number Publication date
CN101941399A (en) 2011-01-12

Similar Documents

Publication Publication Date Title
CN101941399B (en) Vehicle lane change auxiliary device and auxiliary judgment method thereof
CN104260723B (en) A kind of front vehicle motion state tracking prediction meanss and Forecasting Methodology
CN102765365B (en) Pedestrian detection method based on machine vision and pedestrian anti-collision warning system based on machine vision
CN110077399A (en) A kind of vehicle collision avoidance method merged based on roadmarking, wheel detection
CN101984478B (en) Abnormal S-type driving warning method based on binocular vision lane marking detection
CN105799574A (en) Intelligent night driver-assistance system
CN103313039B (en) A kind of freeway tunnel entrance security prompt device on daytime and reminding method
CN201881988U (en) Vehicle lane changing auxiliary device
CN106627585B (en) Vehicle lane changing auxiliary device based on image processing and working method thereof
CN107757479A (en) A kind of drive assist system and method based on augmented reality Display Technique
CN104290753A (en) Tracking and predicting device of motion state of front vehicle and predicating method thereof
CN202071799U (en) Intelligent automobile safety warning device
CN101016052A (en) Warning method and system for preventing deviation for vehicle on high standard highway
CN110065494A (en) A kind of vehicle collision avoidance method based on wheel detection
CN107229906A (en) A kind of automobile overtaking's method for early warning based on units of variance model algorithm
CN104554008A (en) Vehicle safety auxiliary system for lane changing
CN104442566A (en) Vehicle inside passenger dangerous state alarming device and alarming method
CN105691390A (en) Early warning device and early warning method for vehicles
CN110126730A (en) Vehicle lane change based reminding method and system
CN104200689A (en) Road early warning method and device
CN104871523A (en) On-board control device
CN110816527A (en) Vehicle-mounted night vision safety method and system
CN104157143A (en) Illegal parking detection system and detection method thereof
CN111231833A (en) Automobile auxiliary driving system based on combination of holographic projection and AR
CN204124125U (en) A kind of front vehicles state of kinematic motion follows the trail of prediction unit

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
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: 20120530

Termination date: 20120917