[go: up one dir, main page]

CN107240263A - A kind of road gate vehicle snapshot method - Google Patents

A kind of road gate vehicle snapshot method Download PDF

Info

Publication number
CN107240263A
CN107240263A CN201610187621.4A CN201610187621A CN107240263A CN 107240263 A CN107240263 A CN 107240263A CN 201610187621 A CN201610187621 A CN 201610187621A CN 107240263 A CN107240263 A CN 107240263A
Authority
CN
China
Prior art keywords
msub
vehicle
mrow
detection
signal
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.)
Pending
Application number
CN201610187621.4A
Other languages
Chinese (zh)
Inventor
李庆
李玄
徐炜
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.)
XI'AN STANDARD INFORMATION TECHNOLOGY Co Ltd
Original Assignee
XI'AN STANDARD INFORMATION TECHNOLOGY Co Ltd
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 XI'AN STANDARD INFORMATION TECHNOLOGY Co Ltd filed Critical XI'AN STANDARD INFORMATION TECHNOLOGY Co Ltd
Priority to CN201610187621.4A priority Critical patent/CN107240263A/en
Publication of CN107240263A publication Critical patent/CN107240263A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/14Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/056Detecting movement of traffic to be counted or controlled with provision for distinguishing direction of travel

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The road gate vehicle snapshot method that the present invention is provided, detection radar is arranged on the surface in detection track, and method includes:By adjusting the bandwidth and launching beam width of detection radar, the launching beam of detection radar is set to cover the detection zone in detection track;Digital signal samples are carried out to echo-signal;By sampled signal is done distance to and orientation Fourier transformation, obtain the 2-d spectrum of echo-signal;Then statistical analysis is carried out to the 2-d spectrum of echo-signal, judges to whether there is target vehicle in detection zone, target vehicle is to vehicle or whereabouts vehicle;If in the presence of sending grab signal to camera according to the position of target vehicle and travel direction;Camera is received after grab signal, and target vehicle is captured.The road gate vehicle snapshot method that the present invention is provided, can apply to vehicle and whereabouts vehicle, to vehicle snapshot headstock, the whereabouts vehicle snapshot tailstock, and come adjustable to the candid photograph position difference of vehicle and whereabouts vehicle.

Description

A kind of road gate vehicle snapshot method
Technical field
The present invention relates to transport information detection technique field, more particularly to a kind of road gate vehicle snapshot method.
Background technology
It is well known that microwave detection system has dimension relative to other traffic information detection devices (for example, ground induction coil) The advantages of protecting simplicity, influenceed small by weather environment, therefore it is widely used in Intelligent traffic information acquiring field.Microwave current Detecting system is applied to vehicle detection and test the speed mostly, using it is more be exactly an outpost of the tax office's mouth vehicle snapshot using radar progress.
But, the bayonet socket radar of prior art generally only has speed measuring function, it is necessary to adjust radar angle of inclination up and down to set Candid photograph position is put, and can only be captured well to vehicle.For whereabouts vehicle, because vehicle body is introduced into detection zone, thus The tailstock of whereabouts vehicle, the especially slower vehicle of cart or speed can not be captured well.But many regions are set Road gate captures point mainly aiming at cart, and when being captured using this radar progress road vehicle is violating the regulations, if vehicle is inverse To traveling, can also there is an above mentioned problem, or, it is necessary to capture carry out whereabouts vehicle when applying in some irregular roads.It is existing The bayonet socket radar for having technology is not well positioned to meet these requirements.
The content of the invention
For the drawbacks described above of prior art, the present invention provides a kind of road gate vehicle snapshot method.
The road gate vehicle snapshot method that the present invention is provided, including:
The bandwidth and launching beam width of regulation detection radar, make the launching beam covering detection track of the detection radar Detection zone, the detection radar is arranged on the surface in the detection track, the detection radar and the detection track Correspond, the launching beam of the detection radar is confined in the region of the detection track;
Digital signal samples are carried out to echo-signal, the echo-signal is returned for the detection ripple signal of detection radar emission Ripple signal;
Sampled signal is done distance to and orientation Fourier transformation, obtain the 2-d spectrum of echo-signal;
Statistical analysis is carried out to the 2-d spectrum of echo-signal, judges to whether there is target vehicle in detection zone, it is described Target vehicle is to vehicle or whereabouts vehicle;
If in the presence of sending grab signal to camera according to the position of target vehicle and travel direction;
Camera is received after the grab signal, and target vehicle is captured.
Method as described above, wherein, the position and travel direction according to target vehicle is sent to camera captures letter Number, including:
If the target vehicle is to vehicle, grab signal is sent to camera when to drive into detection zone to vehicle;
If the target vehicle is whereabouts vehicle, grab signal is sent to camera when whereabouts vehicle rolls detection zone away from.
Method as described above, wherein, sampled signal is done distance to and the Fourier transformation of orientation after, sampling Signal function is:
P(fr,fd)=Asinc [g1(fr)]sinc[g2(fd)]
Wherein, A is signal echo intensity, frFor range Doppler frequency, fdFor Azimuth Doppler Frequency, g1(x) it is signal Distance spectrum, g2(x) it is the azimuth spectrum of signal.
Method as described above, wherein, the 2-d spectrum to echo-signal carries out statistical analysis, judges detection zone It is interior to whether there is target vehicle, specifically include:
Judge that the condition that there is target vehicle in detection zone is,
Judge that the condition in detection zone in the absence of target vehicle is,
Wherein, 0≤x≤Rn, 0≤y≤PRF, RnFor detection ultimate range unit, PRF is that traffic radar pulse repeats frequency Rate, M1、M2、N1、N2Meet 0≤M1≤M2≤Rn, 0≤N1≤N2≤PRF。
Method as described above, wherein, the position and travel direction according to target vehicle is sent to camera captures letter Number, including:
Search for come to vehicle and whereabouts vehicle in the range Doppler frequency and Azimuth Doppler Frequency of setting, work as search Then grab signal is sent to camera;
Search for be to the object function of vehicle
P0(f0,fd)=A sinc [g1(f0)]sinc[g2(fd)],fd< PRF/2;
Search whereabouts vehicle object function be
P1(f1,fd)=A sinc [g1(f1)]sinc[g2(fd)],fd> PRF/2;
f0To come range Doppler frequency corresponding to vehicle snapshot position, f1For whereabouts vehicle snapshot position it is corresponding away from From Doppler frequency, PRF is the pulse recurrence frequency of detection radar.
Method as described above, wherein, in P0(f0,fd) vehicle that comes out of region detection is to vehicle, in P1(f1,fd) The vehicle that region detection comes out is whereabouts vehicle.
Method as described above, in addition to:
The radial velocity of target vehicle is calculated according to the Azimuth Doppler Frequency of target vehicle;
According to the setting height(from bottom) of detection radar and the detecting distance of setting, the actual travel speed of target vehicle, institute are calculated The detecting distance set is stated as the distance between detection radar and target vehicle of setting, calculation formula is:
Wherein, VrFor the radial velocity of target vehicle, θ is the angle of radar beam and vehicle heading, and R is setting Detecting distance, H is the height on detection distance by radar ground.
Method as described above, wherein, the antenna of the detection radar is to be placed above and below plate aerial, dual-mode antenna, root The width of antenna is determined according to the launching beam width of detection radar;According to the accuracy requirement for capturing position, it is determined that detection radar hair The bandwidth for the detection ripple signal penetrated;The pulse recurrence frequency of detection radar is set according to the max. speed of target vehicle.
Method as described above, in addition to:
Provide the vehicle information of target vehicle;When target vehicle does not roll detection zone away from, detection radar can continue The presence of target vehicle is detected, the time of detection zone is entered and exited by detecting target vehicle, and target vehicle Real time running speed, obtains the vehicle commander of target vehicle, so that it is determined that the vehicle of target vehicle.
Method as described above, in addition to:
Provide the car statistics information of road gate;
The car statistics information includes:The average overall travel speed of vehicle, the time headway of vehicle, vehicle flow and track Occupation rate information.
The road gate vehicle snapshot method that the present invention is provided, detection radar is arranged on the surface in detection track, detection Radar is corresponded with detection track, and the launching beam of detection radar is confined in detection track region, by adjusting detection thunder The bandwidth and launching beam width reached, makes the launching beam of detection radar cover the detection zone in detection track;To echo-signal Digital signal samples are carried out, echo-signal is the echo-signal of the detection ripple signal of detection radar emission;By to sampled signal Distance is done to the Fourier transformation with orientation, the 2-d spectrum of echo-signal is obtained;Then to the 2-d spectrum of echo-signal Statistical analysis is carried out, judges to whether there is target vehicle in detection zone, target vehicle is to vehicle or whereabouts vehicle;If In the presence of then sending grab signal to camera according to the position of target vehicle and travel direction;Camera is received after grab signal, right Target vehicle is captured.The road gate vehicle snapshot method that the present invention is provided, can apply to vehicle and whereabouts car , to vehicle snapshot headstock, the whereabouts vehicle snapshot tailstock, and the candid photograph position come to vehicle and whereabouts vehicle respectively can Adjust.
Brief description of the drawings
The flow chart for the road gate vehicle snapshot method that Fig. 1 provides for the present invention;
Fig. 2 is the scheme of installation for detecting radar of the invention;
The flow chart for the road gate vehicle snapshot embodiment of the method that Fig. 3 provides for the present invention;
Fig. 4 is detection radar beam irradiation area and vehicle snapshot position view;
Fig. 5 is that the bayonet socket radar of application prior art captures the design sketch of whereabouts vehicle;
Fig. 6 is that the road gate vehicle snapshot of the application present invention carrys out the design sketch to cart;
Fig. 7 is the design sketch of the road gate vehicle snapshot whereabouts cart of the application present invention.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention Figure, the technical scheme in the present invention is clearly and completely described, it is clear that described embodiment is only the present invention one Section Example, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making Go out the every other embodiment obtained under the premise of creative work, belong to the scope of protection of the invention.
The method of the present invention is based on wide-band LFM continuous wave principle, and the bayonet socket applied to road vehicle is captured, and is carried Trigger signal is captured for video equipment, needs to connect camera during candid photograph, can capture and carry out whereabouts vehicle, to vehicle snapshot car Head, the whereabouts vehicle snapshot tailstock, it is possible to according to actual conditions regulation come to the candid photograph position of vehicle and whereabouts vehicle.
The flow chart for the road gate vehicle snapshot method that Fig. 1 provides for the present invention.As shown in figure 1, road gate vehicle Grasp shoot method can specifically include herein below.
S101, the bandwidth of regulation detection radar and launching beam width, make the launching beam of detection radar cover detection car The detection zone in road, detection radar is arranged on the surface in detection track, and detection radar is corresponded with detection track, detects thunder The launching beam reached is confined in detection track region.
Fig. 2 is the scheme of installation for detecting radar of the invention.As shown in Fig. 2 by the way of the vertical rod of roadside, radar peace On L-type cross bar, flash lamp and camera are additionally provided with cross bar, a radar is responsible for audio-visual part in a track, figure For radar beam irradiation area.
Specifically, the antenna of detection radar is to be placed above and below plate aerial, dual-mode antenna, according to the transmitted wave of detection radar Beam width determines the width of antenna, and generally detection track is narrower, and antenna beamwidth is smaller;According to the precision need for capturing position Ask, it is determined that the bandwidth of the detection ripple signal of detection radar emission, bandwidth is bigger, precision is higher;According to the highest car of target vehicle The pulse recurrence frequency of speed setting detection radar, speed is faster, and pulse recurrence frequency is higher.
S102, carry out digital signal samples to echo-signal, echo-signal for detection radar emission detection ripple signal Echo-signal.
Described digital signal samples, using suitable A/D chip, the radar return that antenna is received turns from analog signal Change data signal into.
S103, sampled signal is done distance to and orientation Fourier transformation, obtain the 2-d spectrum of echo-signal.
S104, the 2-d spectrum to echo-signal carry out statistical analysis, judge to whether there is target vehicle in detection zone, Target vehicle is to vehicle or whereabouts vehicle.
When there is target vehicle to pass through detection zone, obvious strong point occurs in 2-d spectrum, passes through adaptive threshold Detection algorithm, searches for target vehicle capturing in regional extent, location point of the target vehicle in 2-d spectrum is found out, so that really Set the goal the Doppler frequency of car, and then calculates the actual travel speed of target vehicle.
If S105, in the presence of sending grab signal to camera according to the position of target vehicle and travel direction.
S106, camera are received after grab signal, and target vehicle is captured.
The flow chart for the road gate vehicle snapshot embodiment of the method that Fig. 3 provides for the present invention.As shown in figure 3, installing Into rear to electric on radar, radar running parameter is set, and saves as default parameters, it is main set radar to whereabouts vehicle Position is captured, can be different distance values, when regulation to camera can capture the car plate for carrying out whereabouts vehicle, be provided with Afterwards, radar just can be with normal work.Radar work when general flow be:Echo-signal is sampled first, will be simulated Signal is converted into data signal;Then signal is done distance to and orientation Fourier transformation, obtain the two dimension of echo-signal Frequency spectrum;Then statistical analysis is carried out to frequency spectrum, is scanned in distance to a declared goal position to carrying out whereabouts target, determine whether target carriage Exist, if without target vehicle, abandoning this data, into radar signal next time collection, if there is target vehicle, enter One step does adaptive threshold detecting to the data of region of search, and marks position of the target in 2-d spectrum, obtains target Doppler frequency, so as to be converted into target velocity, and according to the travel direction of vehicle, provides the grab signal of camera in time, comes Captured to vehicle once detection zone is entered, whereabouts vehicle is captured once detection zone is left, further according to mesh It is marked on the residence time of detection zone and the travel speed of target, it can be determined that the vehicle for going out target (is divided according to length Class);The travel speed of grab signal and vehicle is transmitted to camera by serial ports during candid photograph, while radar is to current road traffic Information is counted, and is sent to terminal system and is shown, record.
The road gate vehicle snapshot method of the present embodiment, detection radar is arranged on the surface in detection track, detects thunder Corresponded up to detection track, the launching beam of detection radar is confined in detection track region, by adjusting detection radar Bandwidth and launching beam width, make detection radar launching beam cover detection track detection zone;Echo-signal is entered Row digital signal samples, echo-signal is the echo-signal of the detection ripple signal of detection radar emission;By being done to sampled signal Distance obtains the 2-d spectrum of echo-signal to the Fourier transformation with orientation;Then the 2-d spectrum of echo-signal is entered Row statistical analysis, judges to whether there is target vehicle in detection zone, target vehicle is to vehicle or whereabouts vehicle;If depositing Grab signal is then being sent to camera according to the position of target vehicle and travel direction;Camera is received after grab signal, to mesh Mark vehicle is captured.The road gate vehicle snapshot method that the present invention is provided, can apply to vehicle and whereabouts vehicle, Come to vehicle snapshot headstock, the whereabouts vehicle snapshot tailstock, and come adjustable to the candid photograph position difference of vehicle and whereabouts vehicle.
Fig. 4 is detection radar beam irradiation area and vehicle snapshot position view.As shown in figure 4, described according to target The position of vehicle and travel direction send grab signal to camera, can specifically include:If the target vehicle is to vehicle, When to drive into detection zone to vehicle grab signal is sent to camera;If the target vehicle is whereabouts vehicle, when whereabouts car When rolling detection zone away from grab signal is sent to camera.Vehicle snapshot location point is by setting its parameter true after radar works Fixed, electric default value can also be changed, vehicle snapshot position must be in the range of radar beam irradiation area.Radar work ginseng Number is set, including sets the candid photograph position to vehicle and whereabouts vehicle respectively, that is, is set radar to the distance for capturing position, come Different value is could be arranged to the candid photograph position of vehicle and whereabouts vehicle, by the regulation to capturing distance, makes camera every It is secondary to capture arrival to vehicle and the car plate and related headstock, tail information of whereabouts vehicle.
In upper described method, sampled signal is done distance to and the Fourier transformation of orientation after, sampling letter Number function is:
P(fr,fd)=A sinc [g1(fr)]sinc[g2(fd)]
Wherein, A is signal echo intensity, frFor range Doppler frequency, fdFor Azimuth Doppler Frequency, g1(x) it is signal Distance spectrum, g2(x) it is the azimuth spectrum of signal.
From Principles of Radar, the range Doppler frequency of target reflects the distance of target, the orientation Doppler of target Frequency reflects speed and the direction of target, thus we can capture distance according to being set in radar parameter come whereabouts, search The peak value strong point of respective distance currently captures location point whether there is target to detect in the 2-d spectrum of rope radar return, and determines mesh Target radial velocity.In upper described method, the 2-d spectrum to echo-signal carries out statistical analysis, judges detection zone It whether there is target vehicle in domain, specifically include:
Judge that the condition that there is target vehicle in detection zone is,
Judge that the condition in detection zone in the absence of target vehicle is,
Wherein, 0≤x≤Rn, 0≤y≤PRF, RnFor detection ultimate range unit, PRF is that traffic radar pulse repeats frequency Rate, M1、M2、N1、N2Meet 0≤M1≤M2≤Rn, 0≤N1≤N2≤PRF.It is described according to target vehicle in upper described method Position and travel direction to camera send grab signal, can specifically include:
Search for come to vehicle and whereabouts vehicle in the range Doppler frequency and Azimuth Doppler Frequency of setting, work as search Then grab signal is sent to camera;
Search for be to the object function of vehicle
P0(f0,fd)=A sinc [g1(f0)]sinc[g2(fd)],fd< PRF/2;
Search whereabouts vehicle object function be
P1(f1,fd)=A sinc [g1(f1)]sinc[g2(fd)],fd> PRF/2;
f0To come range Doppler frequency corresponding to vehicle snapshot position, f1For whereabouts vehicle snapshot position it is corresponding away from From Doppler frequency, PRF is the pulse recurrence frequency of detection radar.
In method described above, in P0(f0,fd) vehicle that comes out of region detection is to vehicle, in P1(f1,fd) area The vehicle that domain is detected is whereabouts vehicle.
The method of the embodiment of the present invention, can also include:
The radial velocity of target vehicle is calculated according to the Azimuth Doppler Frequency of target vehicle;
According to the setting height(from bottom) of detection radar and the detecting distance of setting, the actual travel speed of target vehicle, institute are calculated The detecting distance set is stated as the distance between detection radar and target vehicle of setting, calculation formula is:
Wherein, VrFor the radial velocity of target vehicle, θ is the angle of radar beam and vehicle heading, and R is setting Detecting distance, H is the height on detection distance by radar ground.
The method of the embodiment of the present invention, can also include:
Provide the vehicle information of target vehicle;When target vehicle does not roll detection zone away from, detection radar can continue The presence of target vehicle is detected, the time of detection zone is entered and exited by detecting target vehicle, and target vehicle Real time running speed, obtains the vehicle commander of target vehicle, so that it is determined that the vehicle of target vehicle.
The method of the embodiment of the present invention, can also include:
Provide the car statistics information of road gate;
The car statistics information includes:The average overall travel speed of vehicle, the time headway of vehicle, vehicle flow and track Occupation rate information.
Fig. 5 is that the bayonet socket radar of application prior art captures the design sketch of whereabouts vehicle, and Fig. 6 is the road of the application present invention Bayonet vehicle captures the design sketch come to cart, and Fig. 7 is the effect of the road gate vehicle snapshot whereabouts cart of the application present invention Figure.As shown in Fig. 5, Fig. 6, Fig. 7, whereabouts vehicle can only capture vehicle body in a complicated turning section, Fig. 5, it is impossible to see car clearly Car plate;The car plate of vehicle head and vehicle tail is clear that in Fig. 6 and Fig. 7, by set come whereabouts capture away from From not movable radar and camera, enable candid photograph sees vehicle head part clearly to vehicle, and whereabouts vehicle can see tailstock portion clearly Point, comparison diagram 5, method of the invention achieves preferable effect.
In summary, the road gate vehicle snapshot method that the present invention is provided has advantages below:
First, to use different processing methods to vehicle and whereabouts vehicle, and the candid photograph to vehicle, whereabouts vehicle is carried out Position difference is adjustable, it can be provided different distance values, it is ensured that a camera can capture the coming to vehicle of same road With the car plate of whereabouts vehicle, no matter how vehicle exercises, as long as headstock or the tailstock are in detection range, candid photograph vehicle just can be made Car plate, which is located at, to be captured in picture, it is adaptable to which the bayonet socket of complicated road is captured, road vehicle hypervelocity, low speed, candid photograph etc. of driving in the wrong direction;
2nd, the present invention obtains the Doppler frequency of target vehicle using digital signal processing method, and then obtains target carriage Travel speed, orientation FFT integration times are long, and rate accuracy is high, and error is small;
3rd, because this method rate accuracy is high, it also can be good at detecting for target vehicle at a slow speed, bat will not be leaked;
4th, the present invention can be to the vehicle flowrate on road and each track, lane occupancy ratio, average speed, big dolly etc. Information carries out scientific statistics;
5th, manually installed debugging is convenient, after radar is fixed, it is not necessary to movable radar, only need to adjust radar running parameter just The candid photograph position to vehicle and whereabouts vehicle can be moved, with very strong road worthiness;
6th, strong anti-interference performance, due to use adaptive threshold detecting algorithm, and only to capture location point on come to Vehicle or whereabouts vehicle detected, can effectively clutter reduction, and exclude the interference beyond location point, effectively solve many Clap, sky claps phenomenon;
Though the 7th, method therefor vehicle cart dolly of the present invention, come to vehicle, whereabouts vehicle, it is accurate to capture vehicle location, Velocity measuring precision is high.
Finally it should be noted that:The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all Within the spirit and principles in the present invention, any modification, equivalent substitution and improvements made etc. should be included in the protection of the present invention Within the scope of.

Claims (10)

1. a kind of road gate vehicle snapshot method, it is characterised in that including:
The bandwidth and launching beam width of regulation detection radar, make the inspection in the launching beam covering detection track of the detection radar Region is surveyed, the detection radar is arranged on the surface in the detection track, and the detection radar and the detection track are one by one Correspondence, the launching beam of the detection radar is confined in the region of the detection track;
Digital signal samples are carried out to echo-signal, the echo-signal is believed for the echo of the detection ripple signal of detection radar emission Number;
Sampled signal is done distance to and orientation Fourier transformation, obtain the 2-d spectrum of echo-signal;
Statistical analysis is carried out to the 2-d spectrum of echo-signal, judges to whether there is target vehicle, the target in detection zone Vehicle is to vehicle or whereabouts vehicle;
If in the presence of sending grab signal to camera according to the position of target vehicle and travel direction;
Camera is received after the grab signal, and target vehicle is captured.
2. according to the method described in claim 1, it is characterised in that the position and travel direction according to target vehicle is to phase Machine sends grab signal, including:
If the target vehicle is to vehicle, grab signal is sent to camera when to drive into detection zone to vehicle;
If the target vehicle is whereabouts vehicle, grab signal is sent to camera when whereabouts vehicle rolls detection zone away from.
3. according to the method described in claim 1, it is characterised in that sampled signal is done distance to and orientation Fourier After conversion, sampled signal function is:
P(fr, fd)=A sin c [g1(fr)]sin c[g2(fd)],
Wherein, A is signal echo intensity, frFor range Doppler frequency, fdFor Azimuth Doppler Frequency, g1(x) for signal away from Go against accepted conventions, g2(x) it is the azimuth spectrum of signal.
4. method according to claim 3, it is characterised in that the 2-d spectrum to echo-signal carries out statistical Analysis, judges to whether there is target vehicle in detection zone, specifically includes:
Judge that the condition that there is target vehicle in detection zone is,
<mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>P</mi> <mo>(</mo> <mrow> <msub> <mi>f</mi> <mi>x</mi> </msub> <mo>,</mo> <msub> <mi>f</mi> <mi>y</mi> </msub> </mrow> <mo>)</mo> <mo>,</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <msub> <mi>N</mi> <mn>1</mn> </msub> </mrow> <msub> <mi>N</mi> <mn>2</mn> </msub> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <msub> <mi>M</mi> <mn>1</mn> </msub> </mrow> <msub> <mi>M</mi> <mn>2</mn> </msub> </munderover> <mi>P</mi> <mo>(</mo> <mrow> <msub> <mi>f</mi> <mi>i</mi> </msub> <mo>,</mo> <msub> <mi>f</mi> <mi>j</mi> </msub> </mrow> <mo>)</mo> <mo>,</mo> <munderover> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mrow> <mi>i</mi> <mo>=</mo> <msub> <mi>M</mi> <mn>1</mn> </msub> <mo>,</mo> <mi>j</mi> <mo>=</mo> <msub> <mi>N</mi> <mn>1</mn> </msub> </mrow> <mrow> <msub> <mi>M</mi> <mn>2</mn> </msub> <mo>,</mo> <msub> <mi>N</mi> <mn>2</mn> </msub> </mrow> </munderover> <mo>(</mo> <mrow> <mi>P</mi> <mrow> <mo>(</mo> <mrow> <msub> <mi>f</mi> <mi>i</mi> </msub> <mo>,</mo> <msub> <mi>f</mi> <mi>j</mi> </msub> </mrow> <mo>)</mo> </mrow> </mrow> <mo>)</mo> <mo>)</mo> </mrow> <mo>&gt;</mo> <msub> <mi>P</mi> <mn>0</mn> </msub> <mo>;</mo> </mrow>
Judge that the condition in detection zone in the absence of target vehicle is,
<mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>P</mi> <mo>(</mo> <mrow> <msub> <mi>f</mi> <mi>x</mi> </msub> <mo>,</mo> <msub> <mi>f</mi> <mi>y</mi> </msub> </mrow> <mo>)</mo> <mo>,</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <msub> <mi>N</mi> <mn>1</mn> </msub> </mrow> <msub> <mi>N</mi> <mn>2</mn> </msub> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <msub> <mi>M</mi> <mn>1</mn> </msub> </mrow> <msub> <mi>M</mi> <mn>2</mn> </msub> </munderover> <mi>P</mi> <mo>(</mo> <mrow> <msub> <mi>f</mi> <mi>i</mi> </msub> <mo>,</mo> <msub> <mi>f</mi> <mi>j</mi> </msub> </mrow> <mo>)</mo> <mo>,</mo> <munderover> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mrow> <mi>i</mi> <mo>=</mo> <msub> <mi>M</mi> <mn>1</mn> </msub> <mo>,</mo> <mi>j</mi> <mo>=</mo> <msub> <mi>N</mi> <mn>1</mn> </msub> </mrow> <mrow> <msub> <mi>M</mi> <mn>2</mn> </msub> <mo>,</mo> <msub> <mi>N</mi> <mn>2</mn> </msub> </mrow> </munderover> <mo>(</mo> <mrow> <mi>P</mi> <mrow> <mo>(</mo> <mrow> <msub> <mi>f</mi> <mi>i</mi> </msub> <mo>,</mo> <msub> <mi>f</mi> <mi>j</mi> </msub> </mrow> <mo>)</mo> </mrow> </mrow> <mo>)</mo> <mo>)</mo> </mrow> <mo>&amp;le;</mo> <msub> <mi>P</mi> <mn>0</mn> </msub> <mo>;</mo> </mrow>
Wherein, 0≤x≤Rn, 0≤y≤PRF, RnFor detection ultimate range unit, PRF is traffic radar pulse recurrence frequency, M1、 M2、N1、N2Meet 0≤M1≤M2≤Rn, 0≤N1≤N2≤PRF。
5. method according to claim 3, it is characterised in that the position and travel direction according to target vehicle is to phase Machine sends grab signal, including:
Search for come to vehicle and whereabouts vehicle in the range Doppler frequency and Azimuth Doppler Frequency of setting, when searching Grab signal is sent to camera;
Search for be to the object function of vehicle
P0(f0, fd)=A sin c [g1(f0)]sin c[g2(fd)], fd< PRF/2;
Search whereabouts vehicle object function be
P1(f1, fd)=A sin c [g1(f1)]sin c[g2(fd)], fd> PRF/2;
f0To come range Doppler frequency corresponding to vehicle snapshot position, f1It is many for the corresponding distance in whereabouts vehicle snapshot position General Le frequency, PRF is the pulse recurrence frequency of detection radar.
6. method according to claim 5, it is characterised in that in P0(f0,fd) vehicle that comes out of region detection is to car , in P1(f1,fd) vehicle that comes out of region detection is whereabouts vehicle.
7. according to the method described in claim 1, it is characterised in that also include:
The radial velocity of target vehicle is calculated according to the Azimuth Doppler Frequency of target vehicle;
According to the setting height(from bottom) of detection radar and the detecting distance of setting, the actual travel speed of target vehicle is calculated, it is described to set Fixed detecting distance is the distance between detection radar and target vehicle of setting, and calculation formula is:
<mrow> <mi>V</mi> <mo>=</mo> <mfrac> <msub> <mi>V</mi> <mi>r</mi> </msub> <mrow> <mi>c</mi> <mi>o</mi> <mi>s</mi> <mi>&amp;theta;</mi> </mrow> </mfrac> <mo>,</mo> <mi>c</mi> <mi>o</mi> <mi>s</mi> <mi>&amp;theta;</mi> <mo>=</mo> <mfrac> <msqrt> <mrow> <msup> <mi>R</mi> <mn>2</mn> </msup> <mo>-</mo> <msup> <mi>H</mi> <mn>2</mn> </msup> </mrow> </msqrt> <mi>R</mi> </mfrac> <mo>,</mo> </mrow>
Wherein, VrFor the radial velocity of target vehicle, θ is the angle of radar beam and vehicle heading, and R is the detection of setting Distance, H is the height on detection distance by radar ground.
8. according to the method described in claim 1, it is characterised in that the antenna of the detection radar is plate aerial, receives and dispatches day Placed above and below line, the width of antenna is determined according to the launching beam width of detection radar;According to capture position accuracy requirement, really Regular inspection surveys the bandwidth of the detection ripple signal of radar emission;Repeated according to the pulse that the max. speed of target vehicle sets detection radar Frequency.
9. method according to claim 7, it is characterised in that also include:
Provide the vehicle information of target vehicle;When target vehicle does not roll detection zone away from, detection radar can continue to detect To the presence of target vehicle, the time of detection zone is entered and exited by detecting target vehicle, and target vehicle is real-time Travel speed, obtains the vehicle commander of target vehicle, so that it is determined that the vehicle of target vehicle.
10. the method according to claim any one of 1-9, it is characterised in that also include:
Provide the car statistics information of road gate;
The car statistics information includes:The average overall travel speed of vehicle, the time headway of vehicle, vehicle flow and track are occupied Rate information.
CN201610187621.4A 2016-03-29 2016-03-29 A kind of road gate vehicle snapshot method Pending CN107240263A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610187621.4A CN107240263A (en) 2016-03-29 2016-03-29 A kind of road gate vehicle snapshot method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610187621.4A CN107240263A (en) 2016-03-29 2016-03-29 A kind of road gate vehicle snapshot method

Publications (1)

Publication Number Publication Date
CN107240263A true CN107240263A (en) 2017-10-10

Family

ID=59983495

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610187621.4A Pending CN107240263A (en) 2016-03-29 2016-03-29 A kind of road gate vehicle snapshot method

Country Status (1)

Country Link
CN (1) CN107240263A (en)

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107071347A (en) * 2017-02-27 2017-08-18 浙江宇视科技有限公司 The method of adjustment and headend equipment of a kind of wireless localization apparatus
CN108490471A (en) * 2018-01-08 2018-09-04 深圳市易成自动驾驶技术有限公司 Vehicle positioning method, device and computer readable storage medium
CN108648462A (en) * 2018-05-10 2018-10-12 芜湖航飞科技股份有限公司 A kind of vehicle identification method blended based on radar and visual information
CN109191864A (en) * 2018-11-12 2019-01-11 上海慧昌智能交通系统有限公司 Method and apparatus for lines on highway identification
CN109658715A (en) * 2019-01-31 2019-04-19 厦门精益远达智能科技有限公司 Statistical method of traffic flow, device, equipment and the storage medium of multilane
CN110189424A (en) * 2019-05-27 2019-08-30 武汉万集信息技术有限公司 Multilane free-flow vehicle detection method and system based on multiple target radar
CN110556005A (en) * 2019-10-11 2019-12-10 成都纳雷科技有限公司 Self-adaptive tracking method and system for improving capture rate in traffic speed measurement system
CN110874925A (en) * 2018-08-31 2020-03-10 百度在线网络技术(北京)有限公司 Intelligent road side unit and control method thereof
CN111369828A (en) * 2020-03-09 2020-07-03 杭州海康威视系统技术有限公司 Safety early warning system and method for vehicle turning blind area
CN111402629A (en) * 2020-03-06 2020-07-10 杭州海康威视系统技术有限公司 Vehicle turning control method and device and electronic equipment
CN111562407A (en) * 2020-04-26 2020-08-21 武汉拓宝科技股份有限公司 Non-contact type running vehicle acceleration measuring method
CN112216001A (en) * 2020-09-22 2021-01-12 深圳电目科技有限公司 Access control method and system based on radar
CN112598912A (en) * 2020-12-10 2021-04-02 佳都新太科技股份有限公司 Bayonet interval acquisition method and device, computer equipment and storage medium
CN112702505A (en) * 2019-10-21 2021-04-23 杭州海康威视系统技术有限公司 Ship information acquisition method and device, electronic equipment and storage medium
CN112788228A (en) * 2019-11-08 2021-05-11 杭州海康威视数字技术股份有限公司 Snapshot triggering system, method and device based on radar
CN113051419A (en) * 2021-04-01 2021-06-29 积善云科技(武汉)有限公司 Intelligent traffic monitoring remote data acquisition and analysis processing system based on application of Internet of things
CN113227832A (en) * 2018-12-20 2021-08-06 罗伯特·博世有限公司 Determining the orientation of an object by means of radar or by using electromagnetic interrogation radiation
CN117111049A (en) * 2023-10-23 2023-11-24 成都瑞达物联科技有限公司 ETC channel vehicle presence detection method and system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101520510A (en) * 2009-04-08 2009-09-02 邹谋炎 Narrow beam speed measuring radar group for monitoring road vehicles
CN101876705A (en) * 2009-11-03 2010-11-03 清华大学 Frequency Domain Vehicle Detection Method Based on Single Frequency Continuous Wave Radar
CN201845436U (en) * 2010-11-02 2011-05-25 山东鼎讯信息产业有限公司 Flat-panel narrow-band radar trigger pass system
CN103680138A (en) * 2012-09-25 2014-03-26 西安思丹德信息技术有限公司 A method for monitoring vehicle road conditions
CN103914983A (en) * 2014-04-17 2014-07-09 西安飞达电子科技有限公司 Traffic intersection management laser device and realizing method thereof
CN203759875U (en) * 2014-03-05 2014-08-06 北京川速微波科技有限公司 Vehicle speed measurement radar snapshot system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101520510A (en) * 2009-04-08 2009-09-02 邹谋炎 Narrow beam speed measuring radar group for monitoring road vehicles
CN101876705A (en) * 2009-11-03 2010-11-03 清华大学 Frequency Domain Vehicle Detection Method Based on Single Frequency Continuous Wave Radar
CN201845436U (en) * 2010-11-02 2011-05-25 山东鼎讯信息产业有限公司 Flat-panel narrow-band radar trigger pass system
CN103680138A (en) * 2012-09-25 2014-03-26 西安思丹德信息技术有限公司 A method for monitoring vehicle road conditions
CN203759875U (en) * 2014-03-05 2014-08-06 北京川速微波科技有限公司 Vehicle speed measurement radar snapshot system
CN103914983A (en) * 2014-04-17 2014-07-09 西安飞达电子科技有限公司 Traffic intersection management laser device and realizing method thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张赫 等: "《公路智能配货系统理论模型和技术方案研究》", 30 June 2012 *

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107071347B (en) * 2017-02-27 2020-02-18 浙江宇视科技有限公司 Adjusting method of wireless positioning equipment and front-end equipment
CN107071347A (en) * 2017-02-27 2017-08-18 浙江宇视科技有限公司 The method of adjustment and headend equipment of a kind of wireless localization apparatus
CN108490471A (en) * 2018-01-08 2018-09-04 深圳市易成自动驾驶技术有限公司 Vehicle positioning method, device and computer readable storage medium
CN108648462A (en) * 2018-05-10 2018-10-12 芜湖航飞科技股份有限公司 A kind of vehicle identification method blended based on radar and visual information
US11506780B2 (en) 2018-08-31 2022-11-22 Apollo Intelligent Driving Technology (Beijing) Co., Ltd. Intelligent roadside unit and control method thereof
CN110874925A (en) * 2018-08-31 2020-03-10 百度在线网络技术(北京)有限公司 Intelligent road side unit and control method thereof
CN109191864A (en) * 2018-11-12 2019-01-11 上海慧昌智能交通系统有限公司 Method and apparatus for lines on highway identification
CN113227832A (en) * 2018-12-20 2021-08-06 罗伯特·博世有限公司 Determining the orientation of an object by means of radar or by using electromagnetic interrogation radiation
CN109658715A (en) * 2019-01-31 2019-04-19 厦门精益远达智能科技有限公司 Statistical method of traffic flow, device, equipment and the storage medium of multilane
CN110189424A (en) * 2019-05-27 2019-08-30 武汉万集信息技术有限公司 Multilane free-flow vehicle detection method and system based on multiple target radar
CN110556005A (en) * 2019-10-11 2019-12-10 成都纳雷科技有限公司 Self-adaptive tracking method and system for improving capture rate in traffic speed measurement system
CN112702505B (en) * 2019-10-21 2022-07-01 杭州海康威视系统技术有限公司 Ship information acquisition method and device, electronic equipment and storage medium
CN112702505A (en) * 2019-10-21 2021-04-23 杭州海康威视系统技术有限公司 Ship information acquisition method and device, electronic equipment and storage medium
CN112788228A (en) * 2019-11-08 2021-05-11 杭州海康威视数字技术股份有限公司 Snapshot triggering system, method and device based on radar
CN111402629A (en) * 2020-03-06 2020-07-10 杭州海康威视系统技术有限公司 Vehicle turning control method and device and electronic equipment
CN111369828A (en) * 2020-03-09 2020-07-03 杭州海康威视系统技术有限公司 Safety early warning system and method for vehicle turning blind area
CN111562407A (en) * 2020-04-26 2020-08-21 武汉拓宝科技股份有限公司 Non-contact type running vehicle acceleration measuring method
CN112216001A (en) * 2020-09-22 2021-01-12 深圳电目科技有限公司 Access control method and system based on radar
CN112598912A (en) * 2020-12-10 2021-04-02 佳都新太科技股份有限公司 Bayonet interval acquisition method and device, computer equipment and storage medium
CN113051419A (en) * 2021-04-01 2021-06-29 积善云科技(武汉)有限公司 Intelligent traffic monitoring remote data acquisition and analysis processing system based on application of Internet of things
CN113051419B (en) * 2021-04-01 2021-10-01 航塔通讯有限公司 Intelligent traffic monitoring remote data acquisition and analysis processing system based on application of Internet of things
CN117111049A (en) * 2023-10-23 2023-11-24 成都瑞达物联科技有限公司 ETC channel vehicle presence detection method and system
CN117111049B (en) * 2023-10-23 2024-01-30 成都瑞达物联科技有限公司 ETC channel vehicle presence detection method and system

Similar Documents

Publication Publication Date Title
CN107240263A (en) A kind of road gate vehicle snapshot method
CN105046968B (en) A kind of motor bus identification and grasp shoot method, apparatus and system
CN105261215B (en) Intelligent transportation behavior cognitive method and system based on microwave
CN110296713B (en) Roadside automatic driving vehicle positioning navigation system and single/multiple vehicle positioning navigation method
CN104183133B (en) A kind of method gathered and transmit road traffic flow state information
CN101561970B (en) Method for controlling microwave vehicle detecting radar
CN111830508B (en) Road gate anti-smashing system and method adopting millimeter wave radar
CN106125076A (en) A kind of Anticollision Radar method for early warning being applied to urban transportation and device
EP2778714B1 (en) Method for detecting traffic offences in an area with traffic lights by measuring the rear of vehicles using a radar device
CN102097013A (en) Positioning device and method for on-board unit in ETC system
EP2804014B1 (en) Device and method for determining a characteristic of a vehicle
CN101876705A (en) Frequency Domain Vehicle Detection Method Based on Single Frequency Continuous Wave Radar
CN103485265A (en) Road quality detection method of UWB (ultra wide band) GPR (GPR) and detection device of method
CN113447926B (en) A method and system for detecting foreign objects on an airport runway based on vehicle-mounted slide rail SAR imaging
CN103680138A (en) A method for monitoring vehicle road conditions
EP2682778B1 (en) Method for detecting a wheel of a vehicle
CN105699985A (en) Single-line laser radar device
CN109598946B (en) Multilane speed measurement method based on radar system
CN105575132B (en) Detection method and system be present in the crossing based on microwave
CN105389978B (en) Close through street monitoring system and monitoring data processing method
CN104407346A (en) Mobile runway foreign object debris (FOD) monitoring method based on information integration
EP2682779B1 (en) Method for detecting a wheel of a vehicle
CN205176271U (en) There is detection device in crossing based on microwave
CN112162271A (en) Vehicle type recognition method of microwave radar under multiple scenes
CN110363988B (en) System and method for calculating vehicle passing efficiency at intersection

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20171010