CN107066954B - A kind of vehicle-mounted 360 degree are looked around display methods and system - Google Patents

A kind of vehicle-mounted 360 degree are looked around display methods and system Download PDF

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Publication number
CN107066954B
CN107066954B CN201710180080.7A CN201710180080A CN107066954B CN 107066954 B CN107066954 B CN 107066954B CN 201710180080 A CN201710180080 A CN 201710180080A CN 107066954 B CN107066954 B CN 107066954B
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vehicle
splicing seams
seam
image
track
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CN107066954A (en
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苏巍
缪其恒
李鹤
王江明
许炜
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Zhejiang huaruijie Technology Co.,Ltd.
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Zhejiang Zero Run Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image
    • G06T3/40Scaling the whole image or part thereof
    • G06T3/4038Scaling the whole image or part thereof for image mosaicing, i.e. plane images composed of plane sub-images

Abstract

The invention discloses a kind of vehicle-mounted 360 degree to look around display methods and system.Method includes the following steps: S1: each camera acquired image is carried out viewpoint change by looking into look-up table by projection module, projects to vehicle;S2: the optical alignment of four camera images is carried out using exposure gain algorithm;S3: being spliced using splicing seams of the stitching algorithm to adjacent cameras acquired image, is obtained vehicle and is overlooked spliced map.The present invention a certain position splicing seams when adjacent time sequence difference is little, previous frame splicing seams are multiplexed, greatly reduce the influence that noise calculates splicing seams, stability is increased with this, in addition the time of splicing seams calculating directly is decreased using previous frame splicing seams, improves efficiency of algorithm.

Description

A kind of vehicle-mounted 360 degree are looked around display methods and system
Technical field
Technical field is looked around the present invention relates to vehicle-mounted, more particularly to a kind of vehicle-mounted 360 degree are looked around display methods and system.
Background technique
Vehicle-mounted 360 degree of viewing systems are that auxiliary drives one of function, this system can be aobvious to driver under speed operation Show vehicle periphery situation (including part short distance blind spot region).Existing 360 degree of viewing systems generally vehicle body it is forward and backward, One camera of left and right each installation, each camera acquire data within the vision respectively, then will be adopted through the processing unit The image of collection is integrated, and lap is merged, and 360 degree of panorama sketch of formation carry out output in display screen and show.
Vehicle-mounted 360 degree of viewing systems are needed when being spliced the image of the camera acquisition of the front, rear, left and right of vehicle body Calculation processing is carried out to splicing seams.Picture noise can have an impact splicing seams calculating, when camera is larger in certain interference Environment when (underground garage), there is the noise generated due to indoor light in image, these noises will affect the meter of splicing seams It calculates, when causing vehicle's surroundings environment unchanged, seam also will appear biggish variation, due to the influence of noise, under Same Scene The splicing seams of each frame have a very big difference, and stitching image will appear lasting variation, unstable.Meanwhile it is existing most of This class system splicing seams are fixed splicing seams, under the scene of certain complexity (ground out-of-flatness, splicing seams pass through barrier etc.) There is a problem of that splicing seams are obvious.
Summary of the invention
Present invention mainly solves the vehicles that when vehicle's surroundings environment is unchanged, existing vehicle-mounted 360 degree of viewing systems are shown Splicing seams lasting variation affected by noise in vertical view spliced map, unstable technical problem, provide a kind of vehicle-mounted 360 degree of rings Depending on display methods and system, a certain position splicing seams when adjacent time sequence difference is little, be multiplexed previous frame splicing seams, greatly Greatly the influence that noise calculates splicing seams is reduced, stability is increased with this, is in addition directly also subtracted using previous frame splicing seams The time for having lacked splicing seams calculating, improve efficiency of algorithm.
The present invention solves existing vehicle-mounted 360 degree of viewing systems using fixed splicing seams simultaneously, and splicing seams can not cut-through The technical issues of object, provides a kind of vehicle-mounted 360 degree and looks around display methods and system, bypasses splicing seams in conjunction with trailer-mounted radar Barrier improves splicing effect from this.
To solve the above-mentioned problems, the present invention is achieved by the following scheme:
Of the invention a kind of vehicle-mounted 360 degree look around display methods, and front side, rear side, left side, the right side of automobile are respectively equipped with one A camera, comprising the following steps:
S1: each camera acquired image is carried out viewpoint change by looking into look-up table by projection module, projects to vehicle Top view;
S2: the optical alignment of four camera images is carried out using exposure gain algorithm;
S3: being spliced using splicing seams of the stitching algorithm to adjacent cameras acquired image, is obtained vehicle and is overlooked spelling Map interlinking;
The method spliced to every splicing seams the following steps are included:
S31: judge that i-th splicing seams whether there is the splicing seams last_seam of previous framei, if there is previous frame Splicing seams last_seami, then the splicing seams last_seam of previous frame is calculatediOn each pixel value difference color_diffi
S32: if the splicing seams last_seam of previous frame is not present in i-th splicing seamsiOr color_diffiGreater than threshold Value color_diff0, then new splicing seams new_seam is calculatediIf color_diffiLess than or equal to threshold value color_ diff0, then by last_seamiIt is assigned to new_seami
S33: spliced using stitching algorithm along splicing seams.
In the technical scheme, the front side of automobile, rear side, left side, right side camera acquisition image mosaic after form four A splicing seams.When the splicing seams of a certain position are when adjacent time sequence difference is little, i.e. color_diffiLess than or equal to threshold value color_diff0, then the newest splicing seams in the position are multiplexed previous frame splicing seams, greatly reduce noise in this way to splicing seams meter The influence of calculation increases stability with this, in addition directly decreases the time of splicing seams calculating using previous frame splicing seams, mention High efficiency of algorithm.
Preferably, the step S32 is the following steps are included: if the splicing seams of previous frame are not present in i-th splicing seams last_seamiOr color_diffiGreater than threshold value color_diff0, then judge whether there is trailer-mounted radar on vehicle, if there is Trailer-mounted radar then obtains vehicle body surrounding obstacle information by trailer-mounted radar, calculates new splicing seams new_seamiNeed around The region crossed, new splicing seams new_seamiForbid then calculating new splicing seams new_ across barrier region seamiIf directly calculating new splicing seams new_seam without trailer-mounted radariIf color_diffiIt is less than or waits In threshold value color_diff0, then by last_seamiIt is assigned to new_seami.Based on trailer-mounted radar provide Obstacle Position, This method connects when carrying out the calculating of splicing seams around corresponding region so as to improve splicing effect to avoid what three-dimensional object generated Stitch geometric alignment error.
Preferably, also executing following steps before being spliced in the step S33 along splicing seams: whether judging car door It opens, when certain side car door opening, which is overlooked into corresponding part pixel value zero setting in spliced map in vehicle, and will be corresponding Splicing seams be set as a skew lines.When left and right car door opening, respective camera image is shielded, left and right car door opening is eliminated When respective camera be subjected to displacement relative to car body, cause stitching image to have the problem of obvious seam.
Preferably, it further includes step S4 that a kind of vehicle-mounted 360 degree, which are looked around display methods: being turned using automobile gear level, steering wheel Angle λ calculates track of vehicle, overlooks spliced map central area addition vehicle areal model, drafting vehicle in the vehicle of generation Track, track of vehicle of painting in forward sight or backsight image.Comprehensively consider automobile gear level and steering wheel angle, is based on sideway plane Vehicle kinematics modeling rendering track of vehicle line, improves the practicability of system.
Preferably, in the step S31 previous frame splicing seams last_seamiOn each pixel value difference color_diffiIt is calculated using following formula:
Wherein, last_seamiFor i-th splicing seams;
color_diffiFor splicing seams last_seamiThe average value of the value differences of upper adjacent image;
U is splicing seams last_seamiOn a point;
IiIt (u) is point uiPixel value on the image of camera i;
IjIt (u) is point ujPixel value on the image of camera j;
NiFor splicing seams last_seamiThe number of upper pixel.
Preferably, splicing seams new_seam new in the step S32iIt is calculated using following formula:
Wherein, u is splicing seams new_seamiAny one point;
Obstacle is barrier region set;
CostMRF(s, t, Cam1, Cam2)=| | Cam1(s)-Cam2(s)||+||
Cam1(t)-Cam2(t)||;
Wherein, 2 neighbor pixels of s, t2 camera image overlapping regions;
Cam1(s), Cam2(s) brightness value of the same point s in two camera overlapping regions;
Cam1(t), Cam2(t) brightness value of the same point t in two camera overlapping regions.
Preferably, the step S33 splices splicing seams using following formula:
F (x, y)=W1 (x, y) Fl (x, y)+Wr (x, y) Fr (x, y);
Wherein, Fl (x, y), Fr (x, y) are the images of 2 adjacent cameras of splicing;
X, y are the direction the x and y coordinates an of point, and it is positive direction that coordinate origin is the image upper left corner downwards to the right;
W1, Wr are the weighting function of 2 adjacent cameras of splicing, are determined by splicing seams, using splicing seams as center line, are formed One width is the overlapping region of T, in this region weighted value by overlapping region one side edge each point along splicing seams normal Direction is 0 from 1 monotone decreasing to another side edge.
Preferably, track of vehicle is calculated using automobile gear level, steering wheel angle λ in the step S4, in the vehicle of generation Overlook spliced map central area addition vehicle areal model, draw track of vehicle method the following steps are included:
Front left wheel corner B, front right wheel corner A, the vehicle turning center ICR of vehicle are calculated, coordinate origin O is in rear shaft center Point, coordinate are backward, to the right positive direction;
ICR=(RICR, 0);
Wherein, RICRIt is the turning radius of back axle central point;
L is distance between axles;
D is wheelbase;
λ is steering wheel angle, is clockwise positive direction with right ahead for 0;
The movement of left and right wheels can be obtained by vehicle turning center ICR, front left wheel corner B, front right wheel corner A and automobile gear level Track, if vehicle is in forward, using vehicle turning center ICR as the center of circle, using left and right vehicle wheel front-wheel as starting point, to vehicle Direction of advance does the arc that length is N;If vehicle, which is in, retreats gear, using vehicle turning center ICR as the center of circle, after left and right vehicle wheel Wheel is starting point, does the arc that length is N to vehicle rollback direction;If vehicle is in other gears, motion profile is not shown.
Preferably, the method for track of vehicle of painting in forward sight or backsight image in the step S4 includes following step It is rapid: if vehicle is in forward, the trajectory line in top view to be divided into M-1 parts, takes M endpoint, is looked by the mapping of forward sight It looks for table to obtain this M point respective coordinates in forward sight image, the track being made of this M point is then drawn in forward sight image; If vehicle, which is in, retreats gear, the trajectory line in top view is divided into M-1 parts, takes M endpoint, passes through the Map Searching table of backsight This M point corresponding coordinate in backsight image is obtained, the track being made of this M point is then drawn in backsight image.
Of the invention a kind of vehicle-mounted 360 degree look around display system, look around display side using above-mentioned a kind of vehicle-mounted 360 degree Method, comprising:
Four cameras, are separately positioned on automobile front side, rear side, left side, right side;
Image mosaic module forms vehicle and bows according to camera acquired image, trailer-mounted radar signal, door switch signal Depending on spliced map, it is output to post processing of image module;
Track of vehicle computing module calculates track of vehicle according to automobile gear level, steering wheel angle λ, after being output to image Manage module;
Post processing of image module, the Data Integration that image mosaic module and track of vehicle computing module are exported, is generating Vehicle overlook spliced map central area addition vehicle areal model, draw track of vehicle, and be output to car-mounted display Screen.
The beneficial effects of the present invention are: (1) a certain position splicing seams when adjacent time sequence difference is little, multiplexing upper one Frame splicing seams greatly reduce the influence that noise calculates splicing seams, increase stability with this, in addition directly use previous frame Splicing seams decrease the time of splicing seams calculating, improve efficiency of algorithm.(2) the obstacle level provided based on trailer-mounted radar It sets, what this method was generated in the calculating of progress splicing seams around corresponding region so as to improve splicing effect to avoid three-dimensional object Seam geometric alignment error.(3) when left and right car door opening, respective camera image is shielded, left and right car door opening phase is eliminated It answers camera to be subjected to displacement relative to car body, stitching image is caused to have the problem of obvious seam.(4) comprehensively consider automobile gear level and side To disk corner, it is based on sideway plane vehicle kinematics modeling rendering track of vehicle line, improves the practicability of system.
Detailed description of the invention
Fig. 1 is a kind of work flow diagram of the invention;
Fig. 2 is the weighted value curve at the point i of splicing seams along normal direction;
Fig. 3 is that the vehicle when left-hand door is opened overlooks spliced map;
Fig. 4 is that track of vehicle calculates schematic diagram;
Fig. 5 is a kind of structural schematic diagram of the invention;
Fig. 6 is distribution map of four cameras on vehicle.
In figure: 1, camera, 2, image mosaic module, 3, track of vehicle computing module, 4, post processing of image module.
Specific embodiment
Below with reference to the embodiments and with reference to the accompanying drawing the technical solutions of the present invention will be further described.
Embodiment: a kind of vehicle-mounted 360 degree of the present embodiment look around display methods, front side, rear side, left side, the right side of automobile Be respectively equipped with a camera, as shown in Figure 1 the following steps are included:
S1: each camera acquired image is carried out viewpoint change by looking into look-up table by projection module, projects to vehicle Top view;
What look-up table saved is to overlook coordinate system to the Nonlinear Mapping relationship of each camera coordinates system, sees formula (1);It is logical The pixel coordinate that look-up table obtains the corresponding camera image of each pixel in top view is crossed, then (such as bilinearity is inserted by interpolation Value) mode, obtain the value of each pixel of top view, the determination of look-up table, which can pass through, carries out the inside and outside mark joined to each camera Surely (such as flake correction, projective transformation) is obtained.
G (x, y)=f (h (x, y)) (1);
Wherein, g (x, y) is top view;
F (x, y) is camera original image;
H (x, y) is mapping function, and mapping relations save in a lookup table;
S2: the optical alignment of four camera images is carried out using exposure gain algorithm;
By minimizing following error function error, formula (2) is seen to obtain camera gain;
Wherein, NijThe number of pixels of camera j is overlapped in for camera i;
Gaini, gainjIt is the gain of camera i and j respectively;
It is camera i in the pixel average with the overlapping region camera j;
σNIt is the standard variance of normalized luminance errors;
σgIt is the standard variance of gain;
N is the number of camera;
S3: being spliced using splicing seams of the stitching algorithm to adjacent cameras acquired image, is obtained vehicle and is overlooked spelling Map interlinking;
The method spliced to every splicing seams the following steps are included:
S31: judge that i-th splicing seams whether there is the splicing seams last_seam of previous framei, if there is previous frame Splicing seams last_seami, then the splicing seams last_seam of previous frame is calculatediOn each pixel value difference color_diffi, See formula (3);
Wherein, last_seamiFor i-th splicing seams;
color_diffiFor splicing seams last_seamiThe average value of the value differences of upper adjacent image;
U is splicing seams last_seamiOn a point;
IiIt (u) is point uiPixel value on the image of camera i;
IjIt (u) is point ujPixel value on the image of camera j;
NiFor splicing seams last_seamiThe number of upper pixel;
S32: if the splicing seams last_seam of previous frame is not present in i-th splicing seamsiOr color_diffiGreater than threshold Value color_diff0, then judge whether there is trailer-mounted radar on vehicle, if there is trailer-mounted radar, then vehicle obtained by trailer-mounted radar Body surrounding obstacle information calculates new splicing seams new_seamiThe region for needing to bypass, new splicing seams new_seamiProhibit Only across barrier region, new splicing seams new_seam is then calculated using graph-cut algorithmiIf do not had Trailer-mounted radar, the graph-cut algorithm that then be used directly calculate new splicing seams new_seamiIf color_diffiIt is less than Or it is equal to threshold value color_diff0, then by last_seamiIt is assigned to new_seami
Forbid new splicing seams new_seamiIt is constrained across barrier region using formula (4):
Wherein, u is splicing seams new_seamiAny one point;
Obstacle is barrier region set;
Use the following cost equation Cost of graph-cut algorithmic minimizingMRF, see formula (5), new splicing be calculated Stitch new_seami:
CostMRF(s, t, Cam1, Cam2)=| | Cam1(s)-Cam2(s)||+||
Cam1(t)-Cam2(t)||(5);
Wherein, 2 neighbor pixels of s, t2 camera image overlapping regions;
Cam1(s), Cam2(s) brightness value of the same point s in two camera overlapping regions;
Cam1(t), Cam2(t) brightness value of the same point t in two camera overlapping regions;
S33: judging whether car door is opened, when certain side car door opening, the side camera is right in vehicle vertical view spliced map Partial pixel value zero setting is answered, and sets a skew lines for corresponding splicing seams;
Spliced using stitching algorithm along splicing seams, formula is as follows:
F (x, y)=Wl (x, y) Fl (x, y)+Wr (x, y) Fr (x, y) (6);
Wherein, Fl (x, y), Fr (x, y) are the images of 2 adjacent cameras of splicing;
X, y are the direction the x and y coordinates an of point, and it is positive direction that coordinate origin is the image upper left corner downwards to the right;
Wl, Wr are the weighting function of 2 adjacent cameras of splicing, are determined by splicing seams, using splicing seams as center line, are formed One width is the overlapping region of T, in this region weighted value by overlapping region one side edge each point along splicing seams normal Direction is the weighted value curve at point i that 0, Fig. 2 is splicing seams along normal direction from 1 monotone decreasing to another side edge;
S4: calculating track of vehicle using automobile gear level, steering wheel angle λ, overlooks spliced map center in the vehicle of generation It adds vehicle areal model, draw track of vehicle, track of vehicle of painting in forward sight or backsight image, if vehicle in domain There is trailer-mounted radar, then the obstacle information (orientation, distance) provided according to trailer-mounted radar corresponding region on stitching image marks Corresponding information warning out.
The front side of automobile, rear side, left side, right side camera acquisition image mosaic after form four splicing seams.When a certain The splicing seams of position are when adjacent time sequence difference is little, i.e. color_diffiLess than or equal to threshold value color_diff0, then the position It newest splicing seams multiplexing previous frame splicing seams is set, greatly reduces the influence that noise calculates splicing seams in this way, increased with this Add stability, in addition directly decreases the time of splicing seams calculating using previous frame splicing seams, improve efficiency of algorithm.
Based on trailer-mounted radar provide Obstacle Position, this method carry out splicing seams calculating when around corresponding region with This improves the seam geometric alignment error that splicing effect generates to avoid three-dimensional object.
When left and right car door opening, shield respective camera image, when eliminating left and right car door opening respective camera relative to Car body is subjected to displacement, and stitching image is caused to have the problem of obvious seam.Vehicle when left-hand door is opened overlooks spliced map, such as schemes Shown in 3.
Step S4 the following steps are included:
S41: track of vehicle is calculated using automobile gear level, steering wheel angle λ, following formula (7), (8), (9), (10) are respectively Calculate front left wheel corner B, front right wheel corner A, vehicle turning center ICR, coordinate origin O in rear shaft center's point, coordinate backward, It is to the right positive direction, as shown in figure 4,
ICR=(RICR, 0) and (8);
Wherein, RICRIt is the turning radius of back axle central point;
L is distance between axles;
D is wheelbase;
λ is steering wheel angle, is clockwise positive direction with right ahead for 0;
S42: spliced map central area addition vehicle areal model, drafting vehicle rail are overlooked in the vehicle of generation Mark: can be obtained the motion profile of left and right wheels by vehicle turning center ICR, front left wheel corner B, front right wheel corner A and automobile gear level, If vehicle is in forward, using vehicle turning center ICR as the center of circle, using left and right vehicle wheel front-wheel as starting point, advance to vehicle Do the arc that length is N in direction;If vehicle, which is in, retreats gear (reverse gear), using vehicle turning center ICR as the center of circle, with left and right vehicle wheel Rear-wheel is starting point, does the arc that length is N to vehicle rollback direction;If vehicle is in other gears, motion profile is not shown;
S43: track of vehicle of painting in forward sight or backsight image: if vehicle is in forward, by the rail in top view Trace is divided into M-1 parts, takes M endpoint, obtains this M point respective coordinates in forward sight image by the Map Searching table of forward sight, Then the track being made of this M point is drawn in forward sight image;If vehicle, which is in, retreats gear, by the trajectory line in top view It is divided into M-1 parts, takes M endpoint, this M point corresponding coordinate in backsight image is obtained by the Map Searching table of backsight, so The track being made of this M point is drawn in backsight image afterwards.
S44: it if vehicle has trailer-mounted radar, is being spelled according to the obstacle information (orientation, distance) that trailer-mounted radar provides Corresponding region marks out corresponding information warning on map interlinking picture.
Comprehensively consider automobile gear level and steering wheel angle, is based on sideway plane vehicle kinematics modeling rendering track of vehicle Line improves the practicability of system.
A kind of vehicle-mounted 360 degree of the present embodiment look around display system, look around display side using above-mentioned a kind of vehicle-mounted 360 degree Method, as shown in Figure 5, comprising:
Four cameras 1, are separately positioned on automobile front side, rear side, left side, right side, as shown in Figure 6;
Image mosaic module 2 forms vehicle according to camera acquired image, trailer-mounted radar signal, door switch signal Spliced map is overlooked, post processing of image module is output to;
Track of vehicle computing module 3 calculates track of vehicle according to automobile gear level, steering wheel angle λ, after being output to image Manage module;
Post processing of image module 4, the Data Integration that image mosaic module and track of vehicle computing module are exported, is generating Vehicle overlook spliced map central area addition vehicle areal model, draw track of vehicle, and be output to car-mounted display Screen.

Claims (8)

1. a kind of vehicle-mounted 360 degree are looked around display methods, front side, rear side, left side, the right side of automobile are respectively equipped with a camera, It is characterized in that, comprising the following steps:
S1: each camera acquired image is carried out viewpoint change by looking into look-up table by projection module, projects to vehicle vertical view Figure;
S2: the optical alignment of four camera images is carried out using exposure gain algorithm;
S3: being spliced using splicing seams of the stitching algorithm to adjacent cameras acquired image, is obtained vehicle and is overlooked spliced map;
The method spliced to every splicing seams the following steps are included:
S31: judge that i-th splicing seams whether there is the splicing seams last_seam of previous framei, if there is the splicing seams of previous frame last_seami, then the splicing seams last_seam of previous frame is calculatediOn each pixel value difference color_diffi
S32: if the splicing seams last_seam of previous frame is not present in i-th splicing seamsiOr color_diffiGreater than threshold value color_diff0, then new splicing seams new_seam is calculatediIf color_diffiLess than or equal to threshold value color_ diff0, then by last_seamiIt is assigned to new_seami
S33: spliced using stitching algorithm along splicing seams;
Following steps are also executed before being spliced in the step S33 along splicing seams: judging whether car door is opened, when certain side vehicle When door is opened, which is overlooked into corresponding part pixel value zero setting in spliced map in vehicle, and corresponding splicing seams are arranged For a skew lines.
2. vehicle-mounted 360 degree of one kind according to claim 1 are looked around display methods, which is characterized in that the step S32 includes Following steps: if the splicing seams last_seam of previous frame is not present in i-th splicing seamsiOr color_diffiGreater than threshold value color_diff0, then judge whether there is trailer-mounted radar on vehicle, if there is trailer-mounted radar, then vehicle body obtained by trailer-mounted radar Surrounding obstacle information calculates new splicing seams new_seamiThe region for needing to bypass, new splicing seams new_seamiForbid Across barrier region, new splicing seams new_seam is then calculatediIf directly calculated without trailer-mounted radar New splicing seams new_seam outiIf color_diffiLess than or equal to threshold value color_diff0, then by last_seami It is assigned to new_seami
3. vehicle-mounted 360 degree of one kind according to claim 1 or 2 are looked around display methods, which is characterized in that further include step S4: track of vehicle is calculated using automobile gear level, steering wheel angle λ, spliced map central area is overlooked in the vehicle of generation and adds vehicle Top view plane model draws track of vehicle, track of vehicle of painting in forward sight or backsight image.
4. vehicle-mounted 360 degree of one kind according to claim 1 or 2 are looked around display methods, which is characterized in that the step S31 The splicing seams last_seam of middle previous frameiOn each pixel value difference color_diffiIt is calculated using following formula:
Wherein, last_seamiFor i-th splicing seams;
color_diffiFor splicing seams last_seamiThe average value of the value differences of upper adjacent image;
U is splicing seams last_seamiOn a point;
IiIt (u) is point uiPixel value on the image of camera i;
IjIt (u) is point ujPixel value on the image of camera j;
NiFor splicing seams last_seamiThe number of upper pixel.
5. vehicle-mounted 360 degree of one kind according to claim 1 or 2 are looked around display methods, which is characterized in that the step S33 Splicing seams are spliced using following formula:
F (x, y)=Wl (x, y) Fl (x, y)+Wr (x, y) Fr (x, y);
Wherein, Fl (x, y), Fr (x, y) are the images of 2 adjacent cameras of splicing;
X, y are the direction the x and y coordinates an of point, and it is positive direction that coordinate origin is the image upper left corner downwards to the right;
Wl, Wr are the weighting function of 2 adjacent cameras of splicing, are determined by splicing seams, using splicing seams as center line, form one Width is the overlapping region of T, in this region weighted value by overlapping region one side edge each point along splicing seams normal direction It is 0 from 1 monotone decreasing to another side edge.
6. vehicle-mounted 360 degree of one kind according to claim 3 are looked around display methods, which is characterized in that sharp in the step S4 Track of vehicle is calculated with automobile gear level, steering wheel angle λ, spliced map central area addition vehicle is overlooked in the vehicle of generation and overlooks Plan model, draw track of vehicle method the following steps are included:
Calculate front left wheel corner B, front right wheel corner A, the vehicle turning center ICR of vehicle, coordinate origin O in rear shaft center's point, Coordinate is backward, to the right positive direction;
ICR=(RICR, 0);
Wherein, RICRIt is the turning radius of back axle central point;
L is distance between axles;
D is wheelbase;
λ is steering wheel angle, is clockwise positive direction with right ahead for 0;
The movement rail of left and right wheels can be obtained by vehicle turning center ICR, front left wheel corner B, front right wheel corner A and automobile gear level Mark, if vehicle is in forward, using vehicle turning center ICR as the center of circle, using left and right vehicle wheel front-wheel as starting point, to before vehicle The arc that length is N is done into direction;If vehicle, which is in, retreats gear, using vehicle turning center ICR as the center of circle, with left and right vehicle wheel rear-wheel For starting point, the arc that length is N is done to vehicle rollback direction;If vehicle is in other gears, motion profile is not shown.
7. vehicle-mounted 360 degree of one kind according to claim 6 are looked around display methods, which is characterized in that in the step S4 Paint in forward sight or backsight image track of vehicle method the following steps are included: if vehicle is in forward, will be in top view Trajectory line be divided into M-1 parts, take M endpoint, obtain that this M point is corresponding in forward sight image to be sat by the Map Searching table of forward sight Then mark draws the track being made of this M point in forward sight image;If vehicle, which is in, retreats gear, by the rail in top view Trace is divided into M-1 parts, takes M endpoint, obtains this M point corresponding seat in backsight image by the Map Searching table of backsight Then mark draws the track being made of this M point in backsight image.
8. a kind of vehicle-mounted 360 degree are looked around display system, vehicle-mounted using one kind described in any claim in claim 1-7 360 degree are looked around display methods characterized by comprising
Four cameras (1), are separately positioned on automobile front side, rear side, left side, right side;
Image mosaic module (2) forms vehicle and bows according to camera acquired image, trailer-mounted radar signal, door switch signal Depending on spliced map, it is output to post processing of image module;
Track of vehicle computing module (3) calculates track of vehicle according to automobile gear level, steering wheel angle λ, is output to post processing of image Module;
Post processing of image module (4), the Data Integration that image mosaic module and track of vehicle computing module are exported, in generation Vehicle overlooks spliced map central area addition vehicle areal model, draws track of vehicle, and is output to vehicle-carrying display screen.
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