CN108819842A - Control system for car door locking - Google Patents
Control system for car door locking Download PDFInfo
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- CN108819842A CN108819842A CN201810625993.XA CN201810625993A CN108819842A CN 108819842 A CN108819842 A CN 108819842A CN 201810625993 A CN201810625993 A CN 201810625993A CN 108819842 A CN108819842 A CN 108819842A
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
-
- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05B—LOCKS; ACCESSORIES THEREFOR; HANDCUFFS
- E05B77/00—Vehicle locks characterised by special functions or purposes
- E05B77/54—Automatic securing or unlocking of bolts triggered by certain vehicle parameters, e.g. exceeding a speed threshold
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Human Computer Interaction (AREA)
- Lock And Its Accessories (AREA)
Abstract
The invention discloses a kind of control systems for car door locking, including vehicle central processor etc..The present invention controls the switch of lock according to the state outside car door and vehicle; it can also be alarmed by automatically controlling sound; improve the reliability of preventing car door collision; protect outside vehicle move vehicle and the safety of pedestrian; the present invention can efficiently extract the image outside the car hierarchical information; it is able to maintain each tint hierarchy details of image again; improve the classification accuracy of test set image; improve small image recognition performance; and door lock control of the present invention is able to suppress or weakens the influence of environmental disturbances; system structure is simple, improves the reliability of system.
Description
Technical field
The invention belongs to automobile technical fields.More particularly to a kind of control system for car door locking.
Background technique
The accident that automobile collides when opening the door with other objects often will cause major accident consequence.Its main cause
It is that occupant fails caused by opening the door in the case where guaranteeing safety, the vehicle having at present is equipped with attention gatter in vehicle body side, when
After car door opening, lamp can be lighted, and for reminding vehicle and people outside vehicle, this method can only only remind the people outside vehicle, but can not
Occupant is played a warning role.
Summary of the invention
The purpose of the invention is to overcome above-mentioned deficiency to provide a kind of control system for car door locking, including it is following
Part：Vehicle central processor, for receiving the environmental monitoring around door lock open signal and vehicle body, when door lock is opened
It opens signal and shows that transmission door lock stop signal gives door lock to control when having the object or person fast moved around car door opening and vehicle body
Module；
Door lock control module for receiving the door lock stop signal of vehicle central processor transmission, and controls door lock
Locking；The door lock control module comprises the following modules：
Parsing module, the second pulse signal for going out vehicle central processor are sent to fpga chip；
Time parameter obtains module, for obtaining the locking time parameter of vehicle central processor, when the locking that will acquire
Between parameter be embedded into inside fpga chip；
Threshold preset module judges whether pulse per second (PPS) is greater than default pulse per second (PPS) threshold value for presetting pulse per second (PPS) threshold value；
Fpga chip, if pulse per second (PPS) is greater than default pulse per second (PPS) threshold value, is used for obtaining the clock frequency of voltage controlled oscillator
The clock frequency that voltage controlled oscillator provides；If pulse per second (PPS) is less than default pulse per second (PPS) threshold value, fpga chip is optimized, by anti-
Feedback adjusts analog-to-digital conversion module to adjust the voltage-controlled end of voltage controlled oscillator, and fpga chip writes analog-to-digital conversion module by spi bus
Register, analog-to-digital conversion module output analog voltage change with the variation of register value；
Analog-to-digital conversion module, for adjusting the voltage-controlled end of voltage controlled oscillator, output voltage values are sent to the pressure of voltage controlled oscillator
End is controlled, voltage tunes up, and the output frequency of voltage controlled oscillator increases, and voltage reduces, and the output frequency of voltage controlled oscillator also subtracts therewith
It is small；
Voltage controlled oscillator, for gradually reducing difference synchronous with pulse per second (PPS), until being finally reached lock state.
Further, the vehicle central processor further includes：Image processing module, for vehicle central processor will to be inputted
Vehicle body ambient enviroment photo carry out image input convolutional neural networks in first convolutional layer, activation primitive ReLU；It will
The output result of first convolutional layer inputs second convolutional layer, activation primitive ReLU, then carries out dropout operation, will be defeated
Result inputs pond layer out；Output result in the step 2 is inputted into first full articulamentum, and carries out dropout operation,
Then it is normalized.
Further, described image processing module further includes with lower module：
Gray value setup module, for setting zero for the gray value of pixel all in treated image；
Average gray computing module, for calculating the average gray of Image neighborhood；
Stability bandwidth computing module, for calculating the stability bandwidth of pixel；
Significance degree computing module, for calculating the significance degree of pixel；
Marginal information computing module, for calculating the marginal information of image；
Edge enhances module, for carrying out edge enhancing to image, can more clearly show through the enhanced image in edge
The trace of the linear image of different objects out, in order to the identification of different species types and its delineation of distribution.
Advantageous effect of the present invention is as follows：The present invention can also lead to according to the switch of the state control lock outside car door and vehicle
It crosses automatic control sound to alarm, improves the reliability of preventing car door collision, protect outside vehicle move vehicle and pedestrian
Safety, the present invention can efficiently extract each tint hierarchy details of the image outside the car hierarchical information and image, mention
The high classification accuracy of test set image, improves small image recognition performance, and door lock of the present invention control be able to suppress or
Weaken the influence of environmental disturbances, system structure is simple, improves the reliability of system.
Detailed description of the invention
Fig. 1 is system schematic of the invention.
Fig. 2 is that door lock controls optimization system schematic diagram.
Specific embodiment
Below in conjunction with specific embodiment, the present invention is further illustrated：
A kind of control system for car door locking, including following part：Vehicle central processor, for receiving car door door
The environmental monitoring around open signal and vehicle body is locked, is had quickly when door lock open signal is shown around car door opening and vehicle body
When mobile object or person, sends door lock stop signal and give door lock control module；
Door lock control module for receiving the door lock stop signal of vehicle central processor transmission, and controls door lock
Locking；The door lock control module comprises the following modules：
Parsing module, the second pulse signal for going out vehicle central processor are sent to fpga chip；
Time parameter obtains module, for obtaining the locking time parameter of vehicle central processor, when the locking that will acquire
Between parameter be embedded into inside fpga chip；
Threshold preset module judges whether pulse per second (PPS) is greater than default pulse per second (PPS) threshold value for presetting pulse per second (PPS) threshold value；
Fpga chip, if pulse per second (PPS) is greater than default pulse per second (PPS) threshold value, is used for obtaining the clock frequency of voltage controlled oscillator
The clock frequency that voltage controlled oscillator provides；If pulse per second (PPS) is less than default pulse per second (PPS) threshold value, fpga chip is optimized, by anti-
Feedback adjusts analog-to-digital conversion module to adjust the voltage-controlled end of voltage controlled oscillator, and fpga chip writes analog-to-digital conversion module by spi bus
Register, analog-to-digital conversion module output analog voltage change with the variation of register value；
Analog-to-digital conversion module, for adjusting the voltage-controlled end of voltage controlled oscillator, output voltage values are sent to the pressure of voltage controlled oscillator
End is controlled, voltage tunes up, and the output frequency of voltage controlled oscillator increases, and voltage reduces, and the output frequency of voltage controlled oscillator also subtracts therewith
It is small；
Voltage controlled oscillator, for gradually reducing difference synchronous with pulse per second (PPS), until being finally reached lock state.
The vehicle central processor further includes：Image processing module, for the vehicle body of vehicle central processor will to be inputted
Ambient enviroment photo carries out first convolutional layer in image input convolutional neural networks, activation primitive ReLU；By first
The output result of convolutional layer inputs second convolutional layer, activation primitive ReLU, then carries out dropout operation, will export result
Input pond layer；Output result in the step 2 is inputted into first full articulamentum, and carries out dropout operation, then into
Row normalized.
Described image processing module further includes with lower module：
Gray value setup module, for setting zero for the gray value of pixel all in treated image；
Average gray computing module, for calculating the average gray of Image neighborhood；
Stability bandwidth computing module, for calculating the stability bandwidth of pixel；
Significance degree computing module, for calculating the significance degree of pixel；
Marginal information computing module, for calculating the marginal information of image；
Edge enhances module, for carrying out edge enhancing to image, can more clearly show through the enhanced image in edge
The trace of the linear image of different objects out, in order to the identification of different species types and its delineation of distribution.
A kind of control method for car door locking, includes the following steps：
001. receives the environmental monitoring photo around door lock open signal and vehicle body, when door lock open signal is aobvious
Show when there are the object or person fast moved around car door opening and vehicle body, issues door lock stop signal；
002. receives door lock stop signal, and the second pulse signal for parsing vehicle central processor is sent to fpga chip；
003, the locking time parameter of vehicle central processor is obtained, the locking time parameter that will acquire is embedded into FPGA core
Inside piece；
004, pulse per second (PPS) threshold value is preset, judges whether pulse per second (PPS) is greater than default pulse per second (PPS) threshold value, is to turn in next step, otherwise
Enter step 006；
005, the clock frequency of voltage controlled oscillator is obtained, fpga chip uses the clock frequency of voltage controlled oscillator offer, into
Enter step 007；
If 006, pulse per second (PPS) is less than default pulse per second (PPS) threshold value, fpga chip is optimized, and is turned by feedback regulation modulus
Chip DAC is changed to adjust the voltage-controlled end of voltage controlled oscillator, fpga chip writes the register of analog-digital converter, mould by spi bus
The analog voltage of number converter output changes with the variation of register value, and the output voltage values of analog-digital converter are sent to pressure
The voltage-controlled end of oscillator is controlled, voltage tunes up, and the output frequency of voltage controlled oscillator increases, and voltage reduces, the output of voltage controlled oscillator
Frequency also reduces therewith；
007, voltage controlled oscillator gradually reduces difference synchronous with pulse per second (PPS), until being finally reached lock state.
Image procossing is carried out to by the environmental monitoring photo around vehicle body in the step 001, specifically includes following step
Suddenly：
021：The vehicle body ambient enviroment photo for inputting vehicle central processor is carried out in image input convolutional neural networks
First convolutional layer, activation primitive ReLU；
022：The output result of first convolutional layer is inputted into second convolutional layer, activation primitive ReLU, then is carried out
Output result is inputted pond layer by dropout operation；
023：Output result in the step 2 is inputted into first full articulamentum, and carries out dropout operation, then
It is normalized.
It is normalized in the step 023 rear further comprising the steps of：
0231, zero is set by the gray value of pixel all in treated image；
0232, calculate the average gray of Image neighborhood；
0233, calculate the stability bandwidth of pixel；
0234, calculate the significance degree of pixel；
0235, calculate the marginal information of image；
0236, edge enhancing is carried out to image, different object lines can be more clearly shown through the enhanced image in edge
The trace of shape image, in order to the identification of different species types and its delineation of distribution.
Image XmThe average gray of (i, j) 9 × 9 neighborhoodIt calculates as follows：
Xm(i, j) be in m-th of image coordinate be (i, j) pixel gray scale
Value, k, l are the coordinate of neighbor pixel.
Stability bandwidth Vm(i, j) calculates as follows：
Pixel significance degree Δ Xm(i, j) calculates as follows：
The marginal information E (i, j) of image calculates as follows：
Wherein α is normalized parameter；E(i,j)∈[0,1]；
A kind of vehicle safety early warning system, including following part：Door lock detection module, for being opened when door lock
When, door lock open signal is detected, and the door lock open signal is sent to vehicle central processor；
It drives a vehicle monitoring record module, for being monitored in real time to the environment around vehicle body, and by the environment around vehicle body
Monitoring is sent to vehicle central processor in real time；
Vehicle central processor, for receiving the environmental monitoring around door lock open signal and vehicle body, when car door door
Lock open signal is shown when having the object or person fast moved around car door opening and vehicle body, sends door lock stop signal to door lock
Control module；
Door lock control module for receiving the door lock stop signal of vehicle central processor transmission, and controls door lock
Locking.
Further include：
Cue module issues language for receiving the door lock stop signal of vehicle central processor transmission, and to occupant
Sound prompt.
Further include：
Bus- Speed Monitoring module for real-time detection speed and is sent to vehicle central processor.
The vehicle central processor further includes：Image processing module, for the vehicle body of vehicle central processor will to be inputted
Ambient enviroment photo carries out first convolutional layer in image input convolutional neural networks, activation primitive ReLU；
The output result of first convolutional layer is inputted into second convolutional layer, activation primitive ReLU, then carries out dropout
Output result is inputted pond layer by operation；Output result in the step 2 is inputted into first full articulamentum, and is carried out
Dropout operation, is then normalized.
Further, described image processing module further includes with lower module：
Gray value setup module, for setting zero for the gray value of pixel all in treated image；
Average gray computing module, for calculating the average gray of Image neighborhood；
Stability bandwidth computing module, for calculating the stability bandwidth of pixel；
Significance degree computing module, for calculating the significance degree of pixel；
Marginal information computing module, for calculating the marginal information of image；
Edge enhances module, for carrying out edge enhancing to image, can more clearly show through the enhanced image in edge
The trace of the linear image of different objects out, in order to the identification of different species types and its delineation of distribution.
The door lock control module further includes with lower module：
Parsing module, the second pulse signal for going out vehicle central processor are sent to fpga chip；
Time parameter obtains module, for obtaining the locking time parameter of vehicle central processor, when the locking that will acquire
Between parameter be embedded into inside fpga chip；
Threshold preset module judges whether pulse per second (PPS) is greater than default pulse per second (PPS) threshold value for presetting pulse per second (PPS) threshold value；
Fpga chip, if pulse per second (PPS) is greater than default pulse per second (PPS) threshold value, is used for obtaining the clock frequency of voltage controlled oscillator
The clock frequency that voltage controlled oscillator provides；If pulse per second (PPS) is less than default pulse per second (PPS) threshold value, fpga chip is optimized, by anti-
Feedback adjusts analog-to-digital conversion module to adjust the voltage-controlled end of voltage controlled oscillator, and fpga chip writes analog-to-digital conversion module by spi bus
Register, analog-to-digital conversion module output analog voltage change with the variation of register value；
Analog-to-digital conversion module, for adjusting the voltage-controlled end of voltage controlled oscillator, output voltage values are sent to the pressure of voltage controlled oscillator
End is controlled, voltage tunes up, and the output frequency of voltage controlled oscillator increases, and voltage reduces, and the output frequency of voltage controlled oscillator also subtracts therewith
It is small；
Voltage controlled oscillator, for gradually reducing difference synchronous with pulse per second (PPS), until being finally reached lock state.
A kind of vehicle safety method for early warning, includes the following steps：
001., when occupant presses door lock switch preparation opening car door, detects door lock open signal, and
The door lock open signal is sent to vehicle central processor；
Environment around 002. real time monitoring vehicle body, and the environment around vehicle body is taken photos and is sent in vehicle in real time
Central processor；
003. receives the environmental monitoring photo around door lock open signal and vehicle body, when door lock open signal is aobvious
Show when there are the object or person fast moved around car door opening and vehicle body, issues door lock stop signal；
004. receives door lock stop signal, and controls door lock locking.
In the step 003, voice prompting also is issued to occupant while issuing door lock stop signal.
In the step 003, when speed is greater than 0, illustrate that vehicle comes to a complete stop also capable of emitting door lock stop signal not yet.
In the step 002, image procossing is carried out to by the environmental monitoring around vehicle body, specifically includes following steps：
021：The vehicle body ambient enviroment photo for inputting vehicle central processor is carried out in image input convolutional neural networks
First convolutional layer, activation primitive ReLU；
022：The output result of first convolutional layer is inputted into second convolutional layer, activation primitive ReLU, then is carried out
Output result is inputted pond layer by dropout operation；
023：Output result in the step 2 is inputted into first full articulamentum, and carries out dropout operation, then
It is normalized；
It is normalized in step 023 rear further comprising the steps of：
0231, zero is set by the gray value of pixel all in treated image；
0232, calculate the average gray of Image neighborhood；
Image XmThe average gray of (i, j) 9 × 9 neighborhoodIt calculates as follows：
Xm(i, j) be in m-th of image coordinate be (i, j) pixel gray scale
Value, k, l are the coordinate of neighbor pixel.
0233, calculate the stability bandwidth of pixel；
Stability bandwidth Vm(i, j) calculates as follows：
0234, calculate the significance degree of pixel；
Pixel significance degree Δ Xm(i, j) calculates as follows：
0235, calculate the marginal information of image；
The marginal information E (i, j) of image calculates as follows：
Wherein α is normalized parameter；E(i,j)∈[0,1]；
0236, edge enhancing is carried out to image, different object lines can be more clearly shown through the enhanced image in edge
The trace of shape image, in order to the identification of different species types and its delineation of distribution.
Further, reception door lock stop signal in the step 004 is optimized, specifically includes following steps：
041, start door lock control module；
042, the second pulse signal for parsing vehicle central processor is sent to fpga chip；
043, the locking time parameter of vehicle central processor is obtained, the locking time parameter that will acquire is embedded into FPGA core
Inside piece；
044, pulse per second (PPS) threshold value is preset, judges whether pulse per second (PPS) is greater than default pulse per second (PPS) threshold value, is to turn in next step, otherwise
Enter step 046；
045, the clock frequency of voltage controlled oscillator is obtained, fpga chip uses the clock frequency of voltage controlled oscillator offer, into
Enter step 047；
If 046, pulse per second (PPS) is less than default pulse per second (PPS) threshold value, fpga chip is optimized, and is turned by feedback regulation modulus
Chip DAC is changed to adjust the voltage-controlled end of voltage controlled oscillator, fpga chip writes the register of analog-digital converter, mould by spi bus
The analog voltage of number converter output changes with the variation of register value, and the output voltage values of analog-digital converter are sent to pressure
The voltage-controlled end of oscillator is controlled, voltage tunes up, and the output frequency of voltage controlled oscillator increases, and voltage reduces, the output of voltage controlled oscillator
Frequency also reduces therewith；
047, voltage controlled oscillator gradually reduces difference synchronous with pulse per second (PPS), until being finally reached lock state.
Claims (3)
1. a kind of control system for car door locking, it is characterised in that including：
Vehicle central processor, for receiving the environmental monitoring around door lock open signal and vehicle body, when door lock is opened
It opens signal and shows that transmission door lock stop signal gives door lock to control when having the object or person fast moved around car door opening and vehicle body
Module；
Door lock control module for receiving the door lock stop signal of vehicle central processor transmission, and controls door lock locking；
The door lock control module comprises the following modules：
Parsing module, the second pulse signal for going out vehicle central processor are sent to fpga chip；
Time parameter obtains module, for obtaining the locking time parameter of vehicle central processor, the locking time ginseng that will acquire
Number is embedded into inside fpga chip；
Threshold preset module judges whether pulse per second (PPS) is greater than default pulse per second (PPS) threshold value for presetting pulse per second (PPS) threshold value；
Fpga chip, for obtaining the clock frequency of voltage controlled oscillator, if pulse per second (PPS) is greater than default pulse per second (PPS) threshold value, use is voltage-controlled
The clock frequency that oscillator provides；If pulse per second (PPS) is less than default pulse per second (PPS) threshold value, fpga chip is optimized, and is adjusted by feedback
Analog-to-digital conversion module is saved to adjust the voltage-controlled end of voltage controlled oscillator, fpga chip writes posting for analog-to-digital conversion module by spi bus
The analog voltage of storage, analog-to-digital conversion module output changes with the variation of register value；
Analog-to-digital conversion module, for adjusting the voltage-controlled end of voltage controlled oscillator, output voltage values are sent to the voltage-controlled end of voltage controlled oscillator,
Voltage tunes up, and the output frequency of voltage controlled oscillator increases, and voltage reduces, and the output frequency of voltage controlled oscillator also reduces therewith；
Voltage controlled oscillator, for gradually reducing difference synchronous with pulse per second (PPS), until being finally reached lock state.
2. the control system according to claim 1 for car door locking, it is characterised in that the vehicle central processor
Further include：Image processing module, the vehicle body ambient enviroment photo for that will input vehicle central processor carry out image input volume
First convolutional layer in product neural network, activation primitive ReLU；The output result of first convolutional layer is inputted second
Convolutional layer, activation primitive ReLU, then dropout operation is carried out, output result is inputted into pond layer；It will be in the step 2
It exports result and inputs first full articulamentum, and carry out dropout operation, be then normalized.
3. being used for the control system of car door locking according to claim 2, it is characterised in that described image processing module is also wrapped
It includes with lower module：
Gray value setup module, for setting zero for the gray value of pixel all in treated image；
Average gray computing module, for calculating the average gray of Image neighborhood；
Stability bandwidth computing module, for calculating the stability bandwidth of pixel；
Significance degree computing module, for calculating the significance degree of pixel；
Marginal information computing module, for calculating the marginal information of image；
Edge enhances module, for carrying out edge enhancing to image, can more clearly show not through the enhanced image in edge
The trace of the same linear image of object, in order to the identification of different species types and its delineation of distribution.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810625993.XA CN108819842A (en) | 2018-06-18 | 2018-06-18 | Control system for car door locking |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810625993.XA CN108819842A (en) | 2018-06-18 | 2018-06-18 | Control system for car door locking |
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| CN108819842A true CN108819842A (en) | 2018-11-16 |
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| JP2017229131A (en) * | 2016-06-21 | 2017-12-28 | ローム株式会社 | Power supply unit |
| CN108001343A (en) * | 2017-11-27 | 2018-05-08 | 南京航空航天大学 | A kind of car door prior-warning device and method for early warning |
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- 2018-06-18 CN CN201810625993.XA patent/CN108819842A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105654090A (en) * | 2014-10-27 | 2016-06-08 | 无锡慧眼电子科技有限公司 | Pedestrian contour detection method based on curve volatility description |
| CN105549379A (en) * | 2015-12-23 | 2016-05-04 | 中国电子科技集团公司第四十一研究所 | Synchronous measurement apparatus based on high precision time reference triggering and method thereof |
| JP2017229131A (en) * | 2016-06-21 | 2017-12-28 | ローム株式会社 | Power supply unit |
| CN106156748A (en) * | 2016-07-22 | 2016-11-23 | 浙江零跑科技有限公司 | Traffic scene participant's recognition methods based on vehicle-mounted binocular camera |
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