CN107610481A - Stop detection method, device and terminal device and computer-readable recording medium - Google Patents

Stop detection method, device and terminal device and computer-readable recording medium Download PDF

Info

Publication number
CN107610481A
CN107610481A CN201710769169.7A CN201710769169A CN107610481A CN 107610481 A CN107610481 A CN 107610481A CN 201710769169 A CN201710769169 A CN 201710769169A CN 107610481 A CN107610481 A CN 107610481A
Authority
CN
China
Prior art keywords
state
parking stall
doubtful
modulus value
geomagnetic
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.)
Granted
Application number
CN201710769169.7A
Other languages
Chinese (zh)
Other versions
CN107610481B (en
Inventor
朱红梅
邱松德
于峰崎
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.)
Shenzhen Institute of Advanced Technology of CAS
Original Assignee
Shenzhen Institute of Advanced Technology of CAS
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 Shenzhen Institute of Advanced Technology of CAS filed Critical Shenzhen Institute of Advanced Technology of CAS
Priority to CN201710769169.7A priority Critical patent/CN107610481B/en
Publication of CN107610481A publication Critical patent/CN107610481A/en
Application granted granted Critical
Publication of CN107610481B publication Critical patent/CN107610481B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The present invention relates to earth magnetism field of vehicle detection, there is provided one kind parking detection method, device and terminal device and computer-readable recording medium, to improve the accuracy rate for detection of stopping.Methods described includes:Judge whether Geomagnetic signal occurs disturbing and whether the modulus value of the disturbance exceedes and default drive into threshold value;If disturbing occurs in the Geomagnetic signal and the modulus value of the disturbance exceedes described preset and drives into threshold value, enter more intermediateness state machine detection patterns to carry out the determination of parking stall state;If the parking stall state is doubtful state, starter node collaboration mode to the doubtful state finally to be determined.Technical scheme provided by the invention significantly reduces the caused False Rate of adjacent stalls vehicle interference, effectively increases accuracy of detection, so as to be laid a good foundation for intelligent parking management.

Description

Stop detection method, device and terminal device and computer-readable recording medium
Technical field
The invention belongs to earth magnetism field of vehicle detection, more particularly to a kind of parking detection method, device and terminal device and Computer-readable recording medium.
Background technology
Parking detection is the pith of realizing intelligent transportation, detection method main at present include ultrasound, ground induction coil, The technological means such as video and geomagnetic sensor, wherein, the parking detection method of geomagnetic sensor is to be based on such a fact, I.e.:Ground magnetic field intensity is considered uniform and stable in several kilometer ranges, will be right when passing through containing a large amount of ferromagnetic vehicles Earth's magnetic field produces larger disturbance, and the change of external magnetic field causes geomagnetic sensor output valve to change, therefore, earth magnetism is passed Sensor is positioned over the region of vehicle process, the disturbing signal by collection vehicle to earth magnetism, after handling the disturbing signal The transport information such as the presence of i.e. detectable vehicle, vehicle, speed.Compared to parking detection sides such as ultrasound, ground induction coil and videos Method, the parking detection method of geomagnetic sensor have low-power consumption, low cost, high sensitivity, small size, are easily integrated and install And the advantages that easy to maintenance.
In the parking detection method of various geomagnetic sensors, a kind of existing method is the state machine testing based on threshold value Algorithm, the main thought of the algorithm are that vehicle detection process is divided into different states, state after corresponding condition is met Redirected, so as to draw parking space state, wherein, state machine redirects the ratio that condition relies primarily on its monitoring signals and given threshold Compared with.
State machine detection algorithm advantage based on threshold value is that method is simple, and low in energy consumption, amount of calculation is small, is easy in sensor section Point on realize, however, the algorithm there is also it is obvious the defects of, i.e. the interference signal of adjacent car be present in Parking Stall, therefore, base It is difficult to ensure that in the state machine detection algorithm of threshold value in the accuracy of detection in detecting of stopping.
The content of the invention
The present invention provides a kind of parking detection method, device and terminal device and computer-readable recording medium, to improve The accuracy rate of parking detection.
First aspect present invention provides a kind of parking detection method, and methods described includes:
Judge whether Geomagnetic signal occurs disturbing and whether the modulus value of the disturbance exceedes and default drive into threshold value;
If disturbing occurs in the Geomagnetic signal and the modulus value of the disturbance exceedes described preset and drives into threshold value, in entering more Between state-state machine detection pattern to carry out the determination of parking stall state, the parking stall state includes determination state and doubtful State;
If the parking stall state is doubtful state, starter node collaboration mode is final to be carried out to the doubtful state It is determined that.
Second aspect of the present invention provides a kind of parking detection means, and described device includes:
Judge module, for judging whether Geomagnetic signal occurs disturbing and whether the modulus value of the disturbance exceedes default drive into Threshold value;
Detection module, if occurring disturbing for the Geomagnetic signal and the modulus value of the disturbance exceedes and described default drives into threshold Value, then into more intermediatenesses-state machine detection pattern to carry out the determination of parking stall state, the parking stall state includes true Determine state and doubtful state;
Node collaboration module, if being doubtful state for the parking stall state, starter node collaboration mode is with to institute Doubtful state is stated finally to be determined.
Third aspect present invention provides a kind of terminal device, including memory, processor and storage are in memory And the computer program that can be run on a processor, following steps are realized during computing device computer program:
Judge whether Geomagnetic signal occurs disturbing and whether the modulus value of the disturbance exceedes and default drive into threshold value;
If disturbing occurs in the Geomagnetic signal and the modulus value of the disturbance exceedes described preset and drives into threshold value, in entering more Between state-state machine detection pattern to carry out the determination of parking stall state, the parking stall state includes determination state and doubtful State;
If the parking stall state is doubtful state, starter node collaboration mode is final to be carried out to the doubtful state It is determined that.
The fourth aspect of the embodiment of the present invention provides a kind of computer-readable recording medium, computer-readable recording medium Computer program is stored with, following steps are realized when computer program is executed by processor:
Judge whether Geomagnetic signal occurs disturbing and whether the modulus value of the disturbance exceedes and default drive into threshold value;
If disturbing occurs in the Geomagnetic signal and the modulus value of the disturbance exceedes described preset and drives into threshold value, in entering more Between state-state machine detection pattern to carry out the determination of parking stall state, the parking stall state includes determination state and doubtful State;
If the parking stall state is doubtful state, starter node collaboration mode is final to be carried out to the doubtful state It is determined that.
It was found from the technical scheme that the invention described above provides, with prior art only by more intermediatenesses-state machine examination Survey pattern carries out detection to parking stall state and compared, and parking stall state is detected under more intermediatenesses-state machine detection pattern For doubtful state when, starter node collaboration mode to the doubtful state finally to be determined, so as at according to cooperative information Manage result and Second Decision is carried out to doubtful state, significantly reduce the caused False Rate of adjacent stalls vehicle interference, effectively Accuracy of detection is improved, so as to be laid a good foundation for intelligent parking management.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art In the required accompanying drawing used be briefly described, it should be apparent that, drawings in the following description be only the present invention some Embodiment, for those of ordinary skill in the art, can also be according to these accompanying drawings under the premise of creative work is not paid Obtain other accompanying drawings.
Fig. 1 is the implementation process schematic diagram of parking detection method provided in an embodiment of the present invention;
Fig. 2 is the parking stall shape that state machine exports under intermediateness provided in an embodiment of the present invention-state machine detection pattern The schematic diagram of state;
Fig. 3 is the structural representation of parking detection means provided in an embodiment of the present invention;
Fig. 4 is the structural representation for the parking detection means that another embodiment of the present invention provides;
Fig. 5 is the structural representation for the parking detection means that another embodiment of the present invention provides;
Fig. 6 is the structural representation of terminal device provided in an embodiment of the present invention.
Embodiment
In describing below, in order to illustrate rather than in order to limit, it is proposed that such as tool of particular system structure, technology etc Body details, thoroughly to understand the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific The present invention can also be realized in the other embodiments of details.In other situations, omit to well-known system, device, electricity Road and the detailed description of method, in case unnecessary details hinders description of the invention.
In order to illustrate technical scheme, illustrated below by specific embodiment.
Accompanying drawing 1 is the implementation process schematic diagram of parking detection method provided in an embodiment of the present invention, mainly including following step Rapid S101 to S103, it is described further below:
S101, judge whether Geomagnetic signal occurs disturbing and whether the modulus value of the disturbance exceedes and default drive into threshold value.
In embodiments of the present invention, also include before step S101:Gather the Geomagnetic signal x of the direction of principal axis of x, y and z tri-raw,i (t), to the Geomagnetic signal xraw,i(t) pre-processed, obtain the Geomagnetic signal xraw,i(t) modulus value M, herein, i ∈ When { x, y, z }, i.e. subscript i are x, xraw,x(t) represent collection is the Geomagnetic signal in x-axis direction, when subscript i is y, xraw,y(t) Represent collection is the Geomagnetic signal in y-axis direction, when subscript i is z, xraw,z(t) represent collection is the earth magnetism letter in z-axis direction Number, wherein, the Geomagnetic signal x of the collection direction of principal axis of x, y and z tri-raw,i(t) can be passed using the three axle earth magnetism for being deployed in parking stall Sensor gathers the Geomagnetic signal x of the direction of principal axis of x, y and z tri-raw,i(t), and to Geomagnetic signal xraw,i(t) pre-processed, obtain institute State Geomagnetic signal xraw,i(t) modulus value M S1 and S2 can be realized as follows:
S1, to the Geomagnetic signal xraw,i(t) smothing filtering is carried out, obtains the signal x after smothing filteringsmooth,i(t)。
Specifically, can be according to equation below to the Geomagnetic signal xraw,i(t) smothing filtering is carried out, after obtaining smothing filtering Signal xsmooth,i(t):
In above formula, N is to the Geomagnetic signal xraw,i(t) length of the wave filter of smothing filtering is carried out.
S2, according to formulaCalculate earth magnetism Signal xraw,i(t) modulus value M, wherein, x0、y0And z0It is x-axis, y-axis and z-axis baseline value respectively.
It should be noted that due to Geomagnetic signal xraw,i(t) disturbance is still Geomagnetic signal, therefore, Geomagnetic signal xraw,i(t) modulus value of disturbance still can be calculated such as the method for step S1 and S2 in above-mentioned embodiment, and difference is only that meter Calculate the x in formularaw,i(t) Geomagnetic signal x is usedraw,i(t) disturbance replaces.
S102, if step S101 judged result occurs disturbing for Geomagnetic signal and the disturbance modulus value of the disturbance exceedes institute State to preset and drive into threshold value, then enter more intermediatenesses-state machine detection pattern to carry out the determination of parking stall state, wherein, stop Parking space state includes determination state and doubtful state.
It should be noted that the modulus value of magnetic signal disturbance can calculate according to the method that previous embodiment S1 and S2 are provided Obtain.In order to make it easy to understand, first some terms or concept that are related in S102 implementation process are explained herein:
Drive into disturbance number and (use below Cnts2Represent):Refer to drive into fluctuation status, the Geomagnetic signal occurred Disturb its modulus value and exceed the number preset when driving into threshold value;
Roll intermediateness number away from and (use below Cnts7Represent):Roll away from fluctuation status and Geomagnetic signal disturbance occurs Modulus value is more than default threshold value of rolling away from and (presets and roll threshold value Th away fromdptRepresent) when state, the number of this state rolls centre away from State number;
Roll disturbance number away from and (use below Cnts6Represent):Refer to roll away from fluctuation status, the Geomagnetic signal occurred Its modulus value is disturbed less than the number preset when rolling threshold value away from;
Drive into intermediateness number and (use below Cnts3Represent):Drive into fluctuation status and the mould of Geomagnetic signal disturbance occur Value, which is less than to preset, drives into threshold value ThavlWhen state, the number of this state drives into intermediateness number.
As one embodiment of the invention, into more intermediatenesses-state machine detection pattern to carry out parking stall state It is determined that S1021 and S1022 it can realize as follows:
S1021 is big more than the default average for driving into count threshold and the modulus value of Geomagnetic signal disturbance when driving into disturbance number When default modulus value high threshold, or, drive into intermediateness number and exceed when driving into intermediateness count threshold, or, through opening When dynamic node collaboration mode is ultimately determined to parking bit occupancy to doubtful state, determine parking stall state for parking bit occupancy shape State.
S1022 is small more than the default average for rolling count threshold and the modulus value of Geomagnetic signal disturbance away from when rolling disturbance number away from When default modulus value Low threshold, or, roll intermediateness number away from and exceed when rolling intermediateness count threshold away from, or, through opening When dynamic node collaboration mode is ultimately determined to the parking stall free time to doubtful state, it is parking stall free time shape to determine parking stall state State.
In embodiments of the present invention, preset and drive into count threshold Navl1Represent, preset modulus value high threshold ThhighWith representing, Roll intermediateness count threshold N away fromdpt2Represent, it is default to roll count threshold N away fromdpt1Represent, preset modulus value Low threshold ThlowWith Represent, drive into intermediateness count threshold Navl2Represent, and starter node collaboration mode is ultimately determined to stop to doubtful state Parking stall takes or the parking stall free time specifically see follow-up embodiment.It should be noted that " exceeding " in above-described embodiment, Except comprising more than situation in addition to, it is also understood that for both are equal.For example, " roll intermediateness away from above-described embodiment Number, which exceedes, rolls intermediateness count threshold away from " it can be understood as rolling away from intermediateness number and be more than or equal to and roll intermediateness away from Count threshold, " drive into intermediateness number exceed drive into intermediateness count threshold " in above-described embodiment can be understood as sailing Enter intermediateness number be more than or equal to drive into intermediateness count threshold.
Once it is determined that parking stall state is parking stall seizure condition or parking stall idle condition, then the shape that will can be decided State is uploaded to host computer, shows current occupied or in the absence of storing cycle by detection, parking stall.
In embodiments of the present invention, state machine state except above-mentioned doubtful state and determines state i.e. parking bit occupancy shape Outside state or parking stall idle condition, in addition to fluctuation status and intermediateness etc..As shown in Figure 2, it is the embodiment of the present invention The state machine state transfer schematic diagram that state machine exports under the more intermediatenesses-state machine detection pattern provided, says in detailed below It is bright:
(1) state S0 is init state, and all parameters and baseline are initialized under the state, is set just after the completion of initialization Beginningization Status Flag FgitaFor 1, and jump to state S1;
(2) state S1 is parking stall idle condition, and under the state, parking stall is in the free time.It should be noted that as t The parking stall state at quarter using PS (t) represent when, due to parking stall state it is determined that after only two states be parking stall sky Not busy state and parking stall seizure condition, therefore, PS (t) can be arranged to represent parking stall idle condition, phase during 0 i.e. PS (t)=0 Instead, parking stall seizure condition can then be represented when PS (t) is arranged to 1 i.e. PS (t)=1;It can enter under the idle condition of parking stall Row baseline updates, and baseline more new formula is as follows:
In formula, x0,i(t-1) be t previous moment i.e. t-1 moment i axle baseline values, herein, i ∈ { x, y, z }, xsmooth,i(t) x of implication and previous embodimentsmooth,i(t) it is meant that, i.e., the earth magnetism collected in t in i direction of principal axis Signal xraw,i(t) signal obtained after smothing filtering is carried out, is forgetting factor, its scope is between [0,1], when PS (t-1) is t The previous moment at quarter is the parking stall state at t-1 moment;
When detecting Geomagnetic signal xraw,i(t) there is disturbance, and the disturbance modulus value of the disturbance drives into threshold value (in advance more than default If drive into threshold value ThavlRepresent), then state machine state jumps to state S2;
(3) state S2 drives into fluctuation status, and in this condition, the modulus value of record Geomagnetic signal disturbance exceedes default drive into Threshold value ThavlDrive into disturbance number Cnts2If the modulus value of Geomagnetic signal disturbance drives into threshold value Th less than defaultavl, then state machine Otherwise state transition, number Cnt is disturbed when driving into S3s2(preset more than default frequency threshold value of driving into and drive into frequency threshold value use Navl1Represent) and meet Geomagnetic signal disturbance modulus value averageLess than default modulus value high threshold, (default modulus value high threshold is used ThhighRepresent) when, state machine state jumps to S4, if driving into disturbance number Cnts2Frequency threshold value N is driven into more than defaultavl1And Meet that the average of the modulus value of Geomagnetic signal disturbance is more than default modulus value high threshold ThhighWhen, then state machine state jumps to S5;
(4) state S3 drives into intermediateness, and disturbance number Cnt will be driven under the states2Reset, it is so-called to drive into middle shape State, it is to drive into fluctuation status the modulus value for Geomagnetic signal disturbance occur to drive into threshold value Th less than defaultavlWhen state, this shape The number of state drives into intermediateness number Cnts3If in the case where driving into intermediateness, Geomagnetic signal disturbance modulus value again above It is default to drive into threshold value Thavl, parking stall state can jump to S2 again, otherwise, when driving into intermediateness number Cnts3More than default To drive into intermediateness count threshold (default to drive into intermediateness count threshold Navl2Represent), then state machine state redirects To state S1;
(5) state S4 be it is doubtful drive into state, it is so-called it is doubtful drive into state, be that Geomagnetic signal disturbs, but uncertain Whether there is vehicle to drive into parking stall, by doubtful state flag bit Fg under the statecfmIt is arranged to 0 i.e. Fgcfm=0, while enter section Point collaboration mode, by doubtful state flag bit Fg at the end of node collaboration modecfm1 is arranged to, now, if parking stall state When PS (t) is defined as parking stall seizure condition i.e. PS (t)=1, state machine state jumps to S5, and otherwise, state machine state redirects To S1;
(6) state S5 is parking stall seizure condition, according to foregoing agreement, PS (t)=1, in this condition, if earth magnetism is believed The modulus value of number disturbance rolls threshold value Th away from less than defaultdpt, then state machine state, which jumps to, rolls fluctuation status S6 away from;
(7) state S6 rolls fluctuation status away from, and under the state, the modulus value of record Geomagnetic signal disturbance rolls threshold away from less than default Value ThdptRoll disturbance number Cnt away froms6If the modulus value of Geomagnetic signal disturbance rolls threshold value Th away from higher than defaultdpt, then state machines State, which jumps to, rolls intermediateness S7 away from, otherwise, number Cnt is disturbed when rolling away froms6(preset more than default count threshold of rolling away from and roll meter away from Number threshold value Ndpt1Represent) and the average of the modulus value of Geomagnetic signal disturbance be less than default modulus value Low threshold (default modulus value Low threshold Use ThlowRepresent) when, state machine state jumps to S1, and number Cnt is disturbed when rolling away froms6Count threshold N is rolled away from more than defaultdpt1And The average of the modulus value of Geomagnetic signal disturbance is more than default modulus value Low threshold ThlowWhen, state machine state, which jumps to, doubtful rolls state away from S8;
(8) state S7 rolls intermediateness away from, under the state, will roll disturbance number Cnt away froms6Reset, it is so-called to roll centre away from State, it is to roll in fluctuation status the modulus value for Geomagnetic signal disturbance occur away to roll threshold value Th away from more than defaultdptWhen state, it is this I.e. roll intermediateness number away from (rolls intermediateness number Cnt away to the number of states7Represent), when rolling away from, intermediateness number is big (preset in default intermediateness count threshold of rolling away from and roll intermediateness count threshold N away fromdpt2Represent) when, then state machine state S5 is jumped to, otherwise, when the modulus value of Geomagnetic signal disturbance rolls threshold value Th away from again below defaultdptWhen, state machine state jumps to S6;
(9) state S8 be it is doubtful roll state away from, it is so-called it is doubtful roll state away from, be that Geomagnetic signal disturbs, but uncertain Whether there is vehicle to roll parking stall away from, under the state, by doubtful state flag bit FgcfmIt is arranged to 0 i.e. Fgcfm=0, while enter section Point collaboration mode, by doubtful state flag bit Fg at the end of node collaboration modecfm1 is arranged to, now, if parking stall state When PS (t) is defined as parking stall seizure condition i.e. PS (t)=1, state machine state jumps to S5, and otherwise, state machine state redirects To S1.
S103, if state machine state is doubtful state, starter node collaboration mode to the doubtful state to carry out most Determine eventually.
As it was previously stated, doubtful state i.e. include it is doubtful drive into state and it is doubtful roll state away from, in order to be done most to doubtful state Determine eventually, can starter node collaboration mode.So-called starter node collaboration mode, sensed using adjacent several nodes i.e. earth magnetism The Geomagnetic signal of device collection, cooperates with each other to carry out the final determination of parking stall state.As one embodiment of the invention, start Node collaboration mode S1031 and S1032 can be realized as follows with carrying out final determination to doubtful state:
It is preprocessed to gather Geomagnetic signal by geomagnetic sensor A in S1031, acquisition any three geomagnetic sensors A, B and C Gained modulus value M afterwardsAGeomagnetic signal gained modulus value M after pretreatment is gathered with geomagnetic sensor BBBetween Pearson's coefficient ρAB And geomagnetic sensor B gathers Geomagnetic signal gained modulus value M after pretreatmentBGeomagnetic signal is gathered with geomagnetic sensor C Gained modulus value M after pretreatmentCBetween Pearson's coefficient ρBC
In embodiments of the present invention, geomagnetic sensor A, B and C is respectively deployed on three adjacent stalls, earth magnetism sensing Device B is deployed between geomagnetic sensor A and geomagnetic sensor C, and these geomagnetic sensors can be three that previous embodiment refers to Axle geomagnetic sensor, MA、MBAnd MCThe method through step S1 and S2 that previous embodiment can be used to refer to is asked for, and is not done herein Repeat.Specifically, obtain geomagnetic sensor A in any three geomagnetic sensors A, B and C and gather Geomagnetic signal after pretreatment Gained modulus value MAGeomagnetic signal gained modulus value M after pretreatment is gathered with geomagnetic sensor BBBetween Pearson's coefficient ρABWith And geomagnetic sensor B gathers Geomagnetic signal gained modulus value M after pretreatmentBGeomagnetic signal warp is gathered with geomagnetic sensor C Gained modulus value M after pretreatmentCBetween Pearson's coefficient ρBCIt can be calculated according to equation below:
AndWherein, cov (MA,MB) it is MAAnd MBBetween association Variance, cov (MB,MC) it is MBAnd MCBetween covariance, σA、σBAnd σCIt is M respectivelyA、MBAnd MCStandard deviation.
S1032, judge | ρAB|>Thresholdhigh、|ρBC|>ThresholdhighAnd Whether set up simultaneously, if set up simultaneously, it is determined that doubtful to drive into that state is parking stall seizure condition and doubtful state of rolling away from is Parking stall idle condition, otherwise, it determines doubtful state is to disturb generation, doubtful state of driving into be parking stall idle condition and doubt It is parking stall seizure condition seemingly to roll state away from, herein, | ρAB| it is ρABModulus value, | ρBC| it is ρBCModulus value,With It is M respectivelyA、MBAnd MCIn regular length N average, ThresholdhighIt is the Pearson's coefficient high threshold of setting.
S1033, doubtful state flag bit is arranged to logical one.
, therefore, can be by doubtful state flag bit due to finally being determined through step S1031 and S1032, doubtful state FgcfmIt is arranged to logical one i.e. Fgcfm=1.
It was found from the parking detection method of the above-mentioned example of accompanying drawing 1, with prior art only by more intermediateness-state machines Detection pattern carries out detection to parking stall state and compared, and parking stall shape is detected under more intermediatenesses-state machine detection pattern When state is doubtful state, starter node collaboration mode to the doubtful state finally to be determined, so as to according to cooperative information Result carries out Second Decision to doubtful state, significantly reduces the caused False Rate of adjacent stalls vehicle interference, has Effect improves accuracy of detection, so as to be laid a good foundation for intelligent parking management.
Fig. 3 is the schematic diagram of parking detection means provided in an embodiment of the present invention, mainly includes judge module 301, detection Module 302 and node collaboration module 303, describe in detail as follows:
Judge module 301, for judging whether Geomagnetic signal occurs disturbing and whether the modulus value of the disturbance is more than default Drive into threshold value;
Detection module 302, if occur disturbing for Geomagnetic signal and the modulus value of the disturbance exceed it is default drive into threshold value, Into more intermediatenesses-state machine detection pattern to carry out the determination of parking stall state, wherein, parking stall state includes determining shape State and doubtful state;
Node collaboration module 303, if being doubtful state for parking stall state, starter node collaboration mode is with to doubtful State is finally determined.
It should be noted that device provided in an embodiment of the present invention, due to being based on same structure with the inventive method embodiment Think, its technique effect brought is identical with the inventive method embodiment, and particular content can be found in the inventive method embodiment Narration, here is omitted.
In the parking detection means of the example of accompanying drawing 3, determine that state includes parking stall idle condition and parking stall seizure condition, Detection module 302 can include the first determining unit 401 and the second determining unit 402, as the parking of the example of accompanying drawing 4 detects dress Put, wherein:
First determining unit 301, for default driving into the equal of count threshold and the modulus value when driving into disturbance number and exceed When value is more than default modulus value high threshold, or, drive into intermediateness number and exceed when driving into intermediateness count threshold, or, When the activated node collaboration mode is ultimately determined to parking bit occupancy to the doubtful state, the parking stall state is determined For parking stall seizure condition;
Second determining unit 302, for default rolling the equal of count threshold and the modulus value away from when rolling disturbance number away from and exceed When value is less than default modulus value Low threshold, or, roll intermediateness number away from and exceed when rolling intermediateness count threshold away from, or, When the activated node collaboration mode is ultimately determined to the parking stall free time to the doubtful state, the parking stall state is determined For parking stall idle condition.
In the parking detection means of the example of accompanying drawing 3, determine that state includes parking stall idle condition and parking stall seizure condition, Doubtful state include it is doubtful drive into state and it is doubtful roll state away from, node collaboration module 303 can include acquiring unit 501, the Three determining units 502 and setting unit 503, such as the parking detection means of the example of accompanying drawing 5, wherein:
Acquiring unit 501, earth magnetism letter is gathered for obtaining geomagnetic sensor A in any three geomagnetic sensors A, B and C Number after pretreatment gained modulus value MAGeomagnetic signal gained modulus value M after pretreatment is gathered with geomagnetic sensor BBBetween skin You are inferior coefficient ρABAnd geomagnetic sensor B gathers Geomagnetic signal gained modulus value M after pretreatmentBAdopted with geomagnetic sensor C Collect Geomagnetic signal gained modulus value M after pretreatmentCBetween Pearson's coefficient ρBC, described geomagnetic sensor A, B and C are disposed respectively In on three adjacent stalls, geomagnetic sensor B is deployed between geomagnetic sensor A and geomagnetic sensor C;
3rd determining unit 502, for judging | ρAB|>Thresholdhigh、|ρBC|>Thresholdhigh AndWhether set up simultaneously, if set up simultaneously, it is determined that the doubtful state of driving into is parking stall seizure condition And the doubtful state of rolling away from is parking stall idle condition, otherwise, it determines the doubtful state produces for interference, is described doubtful The state of driving into is parking stall idle condition and the doubtful state of rolling away from is parking stall seizure condition, described | ρAB| it is described ρABModulus value, it is described | ρBC| it is the ρBCModulus value, it is described WithIt is M respectivelyA、MBAnd MCRegular length N's Average, ThresholdhighIt is the Pearson's coefficient high threshold of setting;
Setting unit 503, for doubtful state flag bit to be arranged into logical one.
The parking detection means of the above-mentioned any example of accompanying drawing 3 to 5 can also include acquisition module and pretreatment module, its In:
Acquisition module, for gathering the Geomagnetic signal x of the direction of principal axis of x, y and z tri-raw,i(t), the i ∈ { x, y, z };
Pretreatment module, for the Geomagnetic signal xraw,i(t) pre-processed, obtain the Geomagnetic signal xraw,i (t) modulus value M.
The pretreatment module can include filter unit and magnitude calculation unit, wherein:
Filter unit, for the Geomagnetic signal xraw,i(t) smothing filtering is carried out, obtains the signal after smothing filtering xsmooth,i(t);
Magnitude calculation unit, for according to formula Calculate the Geomagnetic signal xraw,i(t) modulus value M, wherein, x0、y0And z0It is x-axis, y-axis and z-axis baseline value respectively.
Fig. 6 is the structural representation for the terminal device that one embodiment of the invention provides.As shown in fig. 6, the end of the embodiment End equipment 6 includes:Processor 60, memory 61 and it is stored in the computer that can be run in memory 61 and on processor 60 Program 62, such as the program of parking detection method.Processor 60 realizes above-mentioned parking detection method when performing computer program 62 Step in embodiment, such as the step S101 to S103 shown in Fig. 1.It is or real during the execution computer program 62 of processor 60 The function of each module/unit in existing above-mentioned each device embodiment, such as judge module 301 shown in Fig. 3, detection module 302 and section The function of point collaboration module 303.
Exemplary, the computer program 62 for detection method of stopping mainly includes:Judge whether Geomagnetic signal disturbs And whether the modulus value of the disturbance exceedes and default drives into threshold value;If disturbing occurs in the Geomagnetic signal and the modulus value of the disturbance surpasses Cross described preset and drive into threshold value, then enter more intermediatenesses-state machine detection pattern to carry out the determination of parking stall state, it is described Parking stall state includes determination state and doubtful state;If the parking stall state is doubtful state, starter node cooperation mould Formula to the doubtful state finally to be determined.Computer program 62 can be divided into one or more module/units, and one Individual or multiple module/units are stored in memory 61, and are performed by processor 60, to complete the present invention.One or more Individual module/unit can be the series of computation machine programmed instruction section that can complete specific function, and the instruction segment is based on describing Calculation machine 62 implementation procedure in computing device 6 of program.For example, computer program 62 can be divided into judge module 301, inspection The function of module 302 and node collaboration module 303 is surveyed, each device concrete function is as follows:Judge module 301, for judging earth magnetism Whether signal occurs disturbing and whether the modulus value of the disturbance exceedes and default drive into threshold value;Detection module 302, if believing for earth magnetism Number occur disturbing and the modulus value of the disturbance exceed it is default drive into threshold value, then into more intermediatenesses-state machine detection pattern with The determination of parking stall state is carried out, wherein, parking stall state includes determination state and doubtful state;Node collaboration module 303, use If being doubtful state in parking stall state, starter node collaboration mode to doubtful state finally to be determined.
Terminal device 6 may include but be not limited only to processor 60, memory 61.It will be understood by those skilled in the art that Fig. 6 The only example of terminal device 6, the restriction to terminal device 6 is not formed, can included than illustrating more or less portions Part, some parts or different parts are either combined, such as terminal device can also include input-output equipment, network connects Enter equipment, bus etc..
Alleged processor 60 can be CPU (Central Processing Unit, CPU), can also be Other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field- Programmable Gate Array, FPGA) either other PLDs, discrete gate or transistor logic, Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor Deng.
Memory 61 can be the internal storage unit of terminal device 6, such as the hard disk or internal memory of terminal device 6.Storage Device 61 can also be the plug-in type hard disk being equipped with the External memory equipment of terminal device 6, such as terminal device 6, intelligent storage Block (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card) etc.. Further, memory 61 can also both include the internal storage unit of terminal device 6 or including External memory equipment.Memory 61 are used to store computer program and other programs and data needed for terminal device.Memory 61 can be also used for temporarily Store the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each work( Can unit, module division progress for example, in practical application, can be as needed and by above-mentioned function distribution by different Functional unit, module are completed, i.e., the internal structure of device are divided into different functional units or module, to complete above description All or part of function.Each functional unit, module in embodiment can be integrated in a processing unit or Unit is individually physically present, can also two or more units it is integrated in a unit, above-mentioned integrated unit Both it can be realized, can also be realized in the form of SFU software functional unit in the form of hardware.In addition, each functional unit, mould The specific name of block is not limited to the protection domain of the application also only to facilitate mutually distinguish.It is single in said system Member, the specific work process of module, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and is not described in detail or remembers in some embodiment The part of load, it may refer to the associated description of other embodiments.
Those of ordinary skill in the art are it is to be appreciated that the list of each example described with reference to the embodiments described herein Member and algorithm steps, it can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually Performed with hardware or software mode, application-specific and design constraint depending on technical scheme.Professional and technical personnel Described function can be realized using distinct methods to each specific application, but this realization is it is not considered that exceed The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, can be with Realize by another way.For example, device described above/terminal device embodiment is only schematical, for example, mould The division of block or unit, only a kind of division of logic function, can there is other dividing mode when actually realizing, such as multiple Unit or component can combine or be desirably integrated into another system, or some features can be ignored, or not perform.It is another Point, shown or discussed mutual coupling or direct-coupling or communication connection can be by some interfaces, device or The INDIRECT COUPLING of unit or communication connection, can be electrical, mechanical or other forms.
The unit illustrated as separating component can be or may not be physically separate, be shown as unit Part can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple networks On unit.Some or all of unit therein can be selected to realize the purpose of this embodiment scheme according to the actual needs.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If integrated module/unit is realized in the form of SFU software functional unit and is used as independent production marketing or use When, it can be stored in a computer read/write memory medium.Based on such understanding, the present invention realizes above-described embodiment side All or part of flow in method, by computer program the hardware of correlation can also be instructed to complete, detection method of stopping Computer program can be stored in a computer-readable recording medium, the computer program, can be real when being executed by processor The step of existing above-mentioned each embodiment of the method, i.e. judge whether Geomagnetic signal occurs disturbing and whether the modulus value of the disturbance surpasses Cross to preset and drive into threshold value;If disturbing occurs in the Geomagnetic signal and the modulus value of the disturbance exceedes described preset and drives into threshold value, Into more intermediatenesses-state machine detection pattern to carry out the determination of parking stall state, the parking stall state includes determining shape State and doubtful state;If the parking stall state is doubtful state, starter node collaboration mode to the doubtful state to enter Row is final to be determined.Wherein, computer program includes computer program code, computer program code can be source code form, Object identification code form, executable file or some intermediate forms etc..Computer-readable medium can include:Computer can be carried Any entity or device of program code, recording medium, USB flash disk, mobile hard disk, magnetic disc, CD, computer storage, read-only deposit Reservoir (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier wave letter Number, telecommunication signal and software distribution medium etc..It should be noted that the content that computer-readable medium includes can be according to department Legislation and the requirement of patent practice carry out appropriate increase and decrease in method administrative area, such as in some jurisdictions, according to legislation and Patent practice, computer-readable medium do not include electric carrier signal and telecommunication signal.Above example is only illustrating the present invention Technical scheme, rather than its limitations;Although the present invention is described in detail with reference to the foregoing embodiments, this area it is general Logical technical staff should be understood:It can still modify to the technical scheme described in foregoing embodiments, or to it Middle some technical characteristics carry out equivalent substitution;And these modifications or replacement, the essence of appropriate technical solution is departed from this The spirit and scope of each embodiment technical scheme are invented, should be included in the scope of the protection.

Claims (10)

1. one kind parking detection method, it is characterised in that methods described includes:
Judge whether Geomagnetic signal occurs disturbing and whether the modulus value of the disturbance exceedes and default drive into threshold value;
If disturbing occurs in the Geomagnetic signal and the modulus value of the disturbance exceedes described preset and drives into threshold value, enter shapes among more For state-state machine detection pattern to carry out the determination of parking stall state, the parking stall state includes determination state and doubtful state;
If the parking stall state is doubtful state, starter node collaboration mode is final true to be carried out to the doubtful state It is fixed.
2. as claimed in claim 1 parking detection method, it is characterised in that the determination state include parking stall idle condition and Parking stall seizure condition, it is described into more intermediatenesses-state machine detection pattern to carry out the determination of parking stall state, including:
When driving into disturbance number more than the average for driving into count threshold and the modulus value is preset more than default modulus value high threshold, or Person, drive into intermediateness number and exceed when driving into intermediateness count threshold, or, the activated node collaboration mode is to institute State doubtful state be ultimately determined to stop bit occupancy when, it is parking stall seizure condition to determine the parking stall state;
When rolling disturbance number away from more than the average for rolling count threshold and the modulus value away from is preset less than default modulus value Low threshold, or Person, roll intermediateness number away from and exceed when rolling intermediateness count threshold away from, or, the activated node collaboration mode is to institute When stating doubtful state and being ultimately determined to the parking stall free time, it is parking stall idle condition to determine the parking stall state.
3. as claimed in claim 1 parking detection method, it is characterised in that the determination state include parking stall idle condition and Parking stall seizure condition, the doubtful state include it is doubtful drive into state and it is doubtful roll state away from, the starter node cooperates mould Formula finally to be determined to the doubtful state, including:
Obtain geomagnetic sensor A in any three geomagnetic sensors A, B and C and gather Geomagnetic signal gained modulus value after pretreatment MAGeomagnetic signal gained modulus value M after pretreatment is gathered with geomagnetic sensor BBBetween Pearson's coefficient ρABAnd earth magnetism passes Sensor B gathers Geomagnetic signal gained modulus value M after pretreatmentBGeomagnetic signal is gathered with geomagnetic sensor C after pretreatment Gained modulus value MCBetween Pearson's coefficient ρBC, described geomagnetic sensor A, B and C be respectively deployed on three adjacent stalls, The geomagnetic sensor B is deployed between the geomagnetic sensor A and the geomagnetic sensor C;
Judge | ρAB|>Thresholdhigh、|ρBC|>ThresholdhighAndWhether simultaneously into It is vertical, if set up simultaneously, it is determined that the doubtful state of driving into is parking stall seizure condition and described doubtful rolls state away to stop Parking stall idle condition, otherwise, it determines the doubtful state is interference generation, the doubtful state of driving into is parking stall idle condition It is described and the doubtful state of rolling away from is parking stall seizure condition | ρAB| it is the ρABModulus value, it is described | ρBC| it is the ρBC Modulus value, it is describedWithIt is M respectivelyA、MBAnd MCIn regular length N average, ThresholdhighIt is setting Pearson's coefficient high threshold;
Doubtful state flag bit is arranged to logical one.
4. detection method of being stopped as described in claims 1 to 3 any one, it is characterised in that described whether to judge Geomagnetic signal Appearance disturbs and whether the modulus value of the disturbance is driven into before threshold value more than default, and methods described also includes:
Gather the Geomagnetic signal x of the direction of principal axis of x, y and z tri-raw,i(t), the i ∈ { x, y, z };
To the Geomagnetic signal xraw,i(t) pre-processed, obtain the Geomagnetic signal xraw,i(t) modulus value M.
5. parking detection method as claimed in claim 4, it is characterised in that described to the Geomagnetic signal xraw,i(t) carry out pre- Processing, obtains the Geomagnetic signal xraw,i(t) modulus value M, including:
To the Geomagnetic signal xraw,i(t) smothing filtering is carried out, obtains the signal x after smothing filteringsmooth,i(t);
According to formulaCalculate the Geomagnetic signal xraw,i(t) modulus value M, the x0、y0And z0It is x-axis, y-axis and z-axis baseline value respectively.
6. one kind parking detection means, it is characterised in that described device includes:
Judge module, for judging whether Geomagnetic signal occurs disturbing and whether the modulus value of the disturbance exceedes and default drive into threshold Value;
Detection module, if occur disturbing for the Geomagnetic signal and the modulus value of the disturbance exceed it is described it is default drive into threshold value, Then into more intermediatenesses-state machine detection pattern to carry out the determination of parking stall state, the parking stall state includes determining State and doubtful state;
Node collaboration module, if being doubtful state for the parking stall state, starter node collaboration mode is with to described doubtful Finally determined like state.
7. as claimed in claim 6 parking detection means, it is characterised in that the determination state include parking stall idle condition and Parking stall seizure condition, the detection module include:
First determining unit, disturbance number is driven into more than the default average for driving into count threshold and the modulus value more than in advance for working as If during modulus value high threshold, or, drive into intermediateness number and exceed when driving into intermediateness count threshold, or, activated institute State node collaboration mode to the doubtful state be ultimately determined to stop bit occupancy when, it is parking stall to determine the parking stall state Seizure condition;
Second determining unit, disturbance number is rolled away from more than the default average for rolling count threshold and the modulus value away from less than in advance for working as If during modulus value Low threshold, or, roll intermediateness number away from and exceed when rolling intermediateness count threshold away from, or, activated institute When stating node collaboration mode and being ultimately determined to the parking stall free time to the doubtful state, it is parking stall to determine the parking stall state Idle condition.
8. as claimed in claim 6 parking detection means, it is characterised in that the determination state include parking stall idle condition and Parking stall seizure condition, the doubtful state include doubtful driving into state and doubtful rolling state, the node collaboration module bag away from Include:
Acquiring unit, Geomagnetic signal is gathered through pre- for obtaining geomagnetic sensor A in any three geomagnetic sensors A, B and C Gained modulus value M after processingAGeomagnetic signal gained modulus value M after pretreatment is gathered with geomagnetic sensor BBBetween Pearson came system Number ρABAnd geomagnetic sensor B gathers Geomagnetic signal gained modulus value M after pretreatmentBEarth magnetism is gathered with geomagnetic sensor C Signal gained modulus value M after pretreatmentCBetween Pearson's coefficient ρBC, described geomagnetic sensor A, B and C are respectively deployed in three On adjacent stalls, the geomagnetic sensor B is deployed between the geomagnetic sensor A and the geomagnetic sensor C;
3rd determining unit, for judging | ρAB|>Thresholdhigh、|ρBC|>ThresholdhighAndWhether set up simultaneously, if set up simultaneously, it is determined that the doubtful state of driving into is parking stall seizure condition and institute It is parking stall idle condition to state doubtful state of rolling away from, otherwise, it determines the doubtful state produces for interference, described doubtful drives into shape State is parking stall idle condition and the doubtful state of rolling away from is parking stall seizure condition, described | ρAB| it is the ρABMould Value, described | ρBC| it is the ρBCModulus value, it is described WithIt is M respectivelyA、MBAnd MCIn regular length N average, ThresholdhighIt is the Pearson's coefficient high threshold of setting;
Setting unit, for doubtful state flag bit to be arranged into logical one.
9. a kind of terminal device, including memory, processor and it is stored in the memory and can be on the processor The computer program of operation, it is characterised in that realize such as claim 1 to 5 described in the computing device during computer program The step of any one methods described.
10. a kind of computer-readable recording medium, the computer-readable recording medium storage has computer program, and its feature exists In realization is such as the step of claim 1 to 5 any one methods described when the computer program is executed by processor.
CN201710769169.7A 2017-08-31 2017-08-31 Stop detection method, device and terminal device and computer readable storage medium Active CN107610481B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710769169.7A CN107610481B (en) 2017-08-31 2017-08-31 Stop detection method, device and terminal device and computer readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710769169.7A CN107610481B (en) 2017-08-31 2017-08-31 Stop detection method, device and terminal device and computer readable storage medium

Publications (2)

Publication Number Publication Date
CN107610481A true CN107610481A (en) 2018-01-19
CN107610481B CN107610481B (en) 2019-09-17

Family

ID=61056445

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710769169.7A Active CN107610481B (en) 2017-08-31 2017-08-31 Stop detection method, device and terminal device and computer readable storage medium

Country Status (1)

Country Link
CN (1) CN107610481B (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109272772A (en) * 2018-08-20 2019-01-25 中国科学院深圳先进技术研究院 A kind of parking position detection method, device and terminal device
CN109360425A (en) * 2018-11-06 2019-02-19 宁波大榭招商国际码头有限公司 Truck statistical system in a kind of collection card test method and field based on geomagnetic sensor
CN109448420A (en) * 2018-08-25 2019-03-08 高宏音 The open parking stall parking management system in roadside and its data processing method
CN111311927A (en) * 2020-01-17 2020-06-19 深圳市戴升智能科技有限公司 Traffic flow detection method and device, computer equipment and storage medium
CN111815964A (en) * 2020-09-02 2020-10-23 四川九通智路科技有限公司 Traffic flow detection system and method based on geomagnetic sensing type spike
CN112037534A (en) * 2020-09-04 2020-12-04 深圳华强技术有限公司 Car detection method and device integrating geomagnetic data and NB (nuclear magnetic resonance) signals
WO2021093471A1 (en) * 2019-11-13 2021-05-20 苏州泊讯物联网技术有限公司 Parking space detection system and method, and smart parking platform
CN113167839A (en) * 2018-11-28 2021-07-23 罗伯特·博世有限公司 Magnetic parking sensor
CN114255600A (en) * 2022-01-26 2022-03-29 杭州海康威视数字技术股份有限公司 Parking detection method, parking detection equipment and storage medium
CN114333329A (en) * 2022-01-26 2022-04-12 杭州海康威视数字技术股份有限公司 Parking detection method, parking detection equipment and storage medium
CN114550466A (en) * 2020-11-26 2022-05-27 中移物联网有限公司 Parking space state detection method and device and electronic equipment

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103117003A (en) * 2013-01-17 2013-05-22 杭州快泊信息技术有限公司 Self-calibration threshold self-adjusting parking space detection method
CN103593984A (en) * 2013-11-29 2014-02-19 浙江工业大学 Environmentally adaptive traffic flow detection method based on terrestrial magnetism
CN103794058A (en) * 2014-03-05 2014-05-14 武汉慧联无限科技有限公司 Method and device for detecting vehicle based on state machine
US20140240159A1 (en) * 2011-07-25 2014-08-28 Qinetiq Limited Electromagnetic Radiation Absorber
KR20160059340A (en) * 2014-11-18 2016-05-26 (주)아이티에스뱅크 System for detecting vehicles for decoding and offering information of traffic of section in street network
CN105632187A (en) * 2015-12-31 2016-06-01 中国科学院深圳先进技术研究院 Low-power consumption side parking detection method based on geomagnetic sensor network
WO2016131624A1 (en) * 2015-02-17 2016-08-25 Robert Bosch Gmbh System and method for identifying an occupancy status of parking spaces
CN106408954A (en) * 2016-01-27 2017-02-15 深圳骁腾科技有限公司 Vehicle parking detection system and method
CN106935038A (en) * 2015-12-29 2017-07-07 中国科学院深圳先进技术研究院 One kind parking detecting system and detection method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140240159A1 (en) * 2011-07-25 2014-08-28 Qinetiq Limited Electromagnetic Radiation Absorber
CN103117003A (en) * 2013-01-17 2013-05-22 杭州快泊信息技术有限公司 Self-calibration threshold self-adjusting parking space detection method
CN103593984A (en) * 2013-11-29 2014-02-19 浙江工业大学 Environmentally adaptive traffic flow detection method based on terrestrial magnetism
CN103794058A (en) * 2014-03-05 2014-05-14 武汉慧联无限科技有限公司 Method and device for detecting vehicle based on state machine
KR20160059340A (en) * 2014-11-18 2016-05-26 (주)아이티에스뱅크 System for detecting vehicles for decoding and offering information of traffic of section in street network
WO2016131624A1 (en) * 2015-02-17 2016-08-25 Robert Bosch Gmbh System and method for identifying an occupancy status of parking spaces
CN106935038A (en) * 2015-12-29 2017-07-07 中国科学院深圳先进技术研究院 One kind parking detecting system and detection method
CN105632187A (en) * 2015-12-31 2016-06-01 中国科学院深圳先进技术研究院 Low-power consumption side parking detection method based on geomagnetic sensor network
CN106408954A (en) * 2016-01-27 2017-02-15 深圳骁腾科技有限公司 Vehicle parking detection system and method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JIN GU 等: "Design and Implementation of a Street Parking System Using Wireless Sensor Networks", 《IEEE》 *
庞家成 等: "基于AMR 磁阻传感器的无线车位检测设计*", 《微型机与应用》 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109272772A (en) * 2018-08-20 2019-01-25 中国科学院深圳先进技术研究院 A kind of parking position detection method, device and terminal device
CN109448420A (en) * 2018-08-25 2019-03-08 高宏音 The open parking stall parking management system in roadside and its data processing method
CN109360425A (en) * 2018-11-06 2019-02-19 宁波大榭招商国际码头有限公司 Truck statistical system in a kind of collection card test method and field based on geomagnetic sensor
CN113167839A (en) * 2018-11-28 2021-07-23 罗伯特·博世有限公司 Magnetic parking sensor
WO2021093471A1 (en) * 2019-11-13 2021-05-20 苏州泊讯物联网技术有限公司 Parking space detection system and method, and smart parking platform
CN111311927A (en) * 2020-01-17 2020-06-19 深圳市戴升智能科技有限公司 Traffic flow detection method and device, computer equipment and storage medium
CN111815964A (en) * 2020-09-02 2020-10-23 四川九通智路科技有限公司 Traffic flow detection system and method based on geomagnetic sensing type spike
CN112037534A (en) * 2020-09-04 2020-12-04 深圳华强技术有限公司 Car detection method and device integrating geomagnetic data and NB (nuclear magnetic resonance) signals
CN114550466A (en) * 2020-11-26 2022-05-27 中移物联网有限公司 Parking space state detection method and device and electronic equipment
CN114255600A (en) * 2022-01-26 2022-03-29 杭州海康威视数字技术股份有限公司 Parking detection method, parking detection equipment and storage medium
CN114333329A (en) * 2022-01-26 2022-04-12 杭州海康威视数字技术股份有限公司 Parking detection method, parking detection equipment and storage medium
CN114333329B (en) * 2022-01-26 2023-09-29 杭州海康威视数字技术股份有限公司 Parking detection method, device and storage medium

Also Published As

Publication number Publication date
CN107610481B (en) 2019-09-17

Similar Documents

Publication Publication Date Title
CN107610481A (en) Stop detection method, device and terminal device and computer-readable recording medium
CN103617671B (en) The recognition methods of a kind of thickness abnormity banknote and system
CN106920233B (en) Scratch detection method, apparatus and electronic equipment based on image procossing
CN105160934B (en) A kind of intelligent parking system suitable for large parking lot
CN105225523B (en) A kind of parking space state detection method and device
CN107808126A (en) Vehicle retrieval method and device
CN109272772A (en) A kind of parking position detection method, device and terminal device
CN109190639A (en) A kind of vehicle color identification method, apparatus and system
CN108694408A (en) A kind of driving behavior recognition methods based on depth sparseness filtering convolutional neural networks
CN105632187A (en) Low-power consumption side parking detection method based on geomagnetic sensor network
CN112330597A (en) Image difference detection method and device and computer equipment
CN107610316A (en) Detect the method, apparatus and terminal device of bank note defect
CN115201211A (en) Quality control method and system for intelligent visual textile product
CN107886727A (en) A kind of separation vehicle method, system and electronic equipment based on geomagnetic sensor
CN110458188A (en) Industrial vision detection data processing method, device, storage medium and terminal device
CN107464333A (en) Paper Currency Identification, device and terminal device
CN106205146A (en) Vehicle information acquisition and processing system and method based on dual-vector magnetic sensor
CN201465141U (en) Device for distinguishing and recording serial member of RMB (Renminbi)
CN106297373A (en) Parking lot based on cross-correlation and geomagnetic sensor vehicle checking method
CN202758414U (en) Intelligent bus coin collector
CN114238685B (en) Tray automatic statistical method and device based on ble router and computer equipment
CN104297803B (en) Steel cable termina recognition methods and device
CN111209891A (en) Deep neural network-based bearing working condition detection method and system
CN108074397B (en) Method and device for detecting vehicle entering and exiting parking space
CN110390698A (en) A kind of gray-scale sensor mould group and its data processing method and robot

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
GR01 Patent grant
GR01 Patent grant