CN111137249A - Intelligent instruction driving method - Google Patents
Intelligent instruction driving method Download PDFInfo
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- CN111137249A CN111137249A CN201910408681.8A CN201910408681A CN111137249A CN 111137249 A CN111137249 A CN 111137249A CN 201910408681 A CN201910408681 A CN 201910408681A CN 111137249 A CN111137249 A CN 111137249A
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- 238000000034 method Methods 0.000 title claims abstract description 24
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 53
- 238000005507 spraying Methods 0.000 claims abstract description 33
- 239000011521 glass Substances 0.000 claims abstract description 18
- 238000012937 correction Methods 0.000 claims description 23
- 238000012545 processing Methods 0.000 claims description 17
- 230000010355 oscillation Effects 0.000 claims description 16
- 230000011218 segmentation Effects 0.000 claims description 12
- 230000007246 mechanism Effects 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 8
- 238000010606 normalization Methods 0.000 claims description 8
- 238000003384 imaging method Methods 0.000 claims description 6
- 239000007921 spray Substances 0.000 claims description 5
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 2
- 230000001360 synchronised effect Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 238000004378 air conditioning Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000005457 ice water Substances 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 239000002893 slag Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S1/00—Cleaning of vehicles
- B60S1/02—Cleaning windscreens, windows or optical devices
- B60S1/46—Cleaning windscreens, windows or optical devices using liquid; Windscreen washers
- B60S1/48—Liquid supply therefor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S1/00—Cleaning of vehicles
- B60S1/02—Cleaning windscreens, windows or optical devices
- B60S1/46—Cleaning windscreens, windows or optical devices using liquid; Windscreen washers
- B60S1/48—Liquid supply therefor
- B60S1/481—Liquid supply therefor the operation of at least part of the liquid supply being controlled by electric means
- B60S1/485—Liquid supply therefor the operation of at least part of the liquid supply being controlled by electric means including control systems responsive to external conditions, e.g. by detection of moisture, dirt or the like
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S1/00—Cleaning of vehicles
- B60S1/02—Cleaning windscreens, windows or optical devices
- B60S1/46—Cleaning windscreens, windows or optical devices using liquid; Windscreen washers
- B60S1/48—Liquid supply therefor
- B60S1/50—Arrangement of reservoir
Landscapes
- Engineering & Computer Science (AREA)
- Water Supply & Treatment (AREA)
- Mechanical Engineering (AREA)
- Automation & Control Theory (AREA)
- Image Processing (AREA)
Abstract
The invention relates to an intelligent instruction driving method which comprises the step of using an intelligent instruction driving system to measure the ice body distribution area in a glass water storage tank below an automobile front end machine cover so as to reject a water spraying driving instruction sent by a corresponding automobile user when the ice body area is too large.
Description
Technical Field
The invention relates to the field of intelligent control, in particular to an intelligent instruction driving method.
Background
Currently, there are several main definitions of intelligent control.
Defining one: intelligent control is the process by which an intelligent machine autonomously achieves its goals. A smart machine is defined as a machine that performs human-defined tasks, either autonomously or interactively with a human, in a structured or unstructured, familiar or unfamiliar environment.
Definition II: k.j. austroom considers that intelligence such as intuition reasoning and trial and error method possessed by human is formalized or machine-simulated and used in analysis and design of a control system, so that the intelligence of the control system is realized to a certain extent, which is intelligent control. It also considers self-adjusting control, which is a low-level embodiment of intelligent control.
Defining three: intelligent control is automatic control which can autonomously drive an intelligent machine to achieve the target of the intelligent machine without human intervention, and is also an important field for simulating human intelligence by a computer.
Defining four: the intelligent control actually only researches and simulates human intelligent activities and rules of control and information transmission processes thereof, and develops a new branch subject with a human-intelligent-simulated engineering control and information processing system.
Disclosure of Invention
The invention has the following two important points:
(1) the ice distribution area in the glass water storage tank below the front end cover of the automobile is measured, so that when the ice area is too large, a water spraying driving instruction sent by a corresponding automobile user is rejected, and the damage to a water spraying pipeline is avoided;
(2) and performing area analysis on the image to obtain a non-attention area without an attention object, and setting pixel values of all pixel points of the attention area as preset pixel values to reduce the calculation amount of subsequent processing.
According to an aspect of the present invention, there is provided an intelligent command driving method including using an intelligent command driving system to measure an ice distribution area in a glass water storage tank under a front end cover of an automobile to reject a water spray driving command issued by a corresponding automobile user when the ice distribution area is excessive, the intelligent command driving system including: and the water spraying execution mechanism is connected with the water spraying key and used for refusing to respond to a water spraying driving instruction sent by a user to operate the water spraying key when receiving the first control command.
More specifically, in the intelligent command driven system: the water spraying executing mechanism is also used for responding to a water spraying driving instruction sent by a user to operate a water spraying button when receiving a second control command, and the water spraying button is arranged on the automobile steering wheel.
More specifically, in the intelligent instruction driven system, the system further includes: the numerical value setting device is respectively connected with the region analysis device and the color correction device and is used for setting pixel values of all pixel points of a non-attention region in the color correction image to be preset pixel values so as to obtain a numerical value setting image corresponding to the color correction image; the proportion analysis equipment is respectively connected with the water spray execution mechanism and the numerical value setting equipment, and is used for extracting an ice body area in the numerical value setting image based on ice body imaging characteristics and sending a first control command when the area proportion of the ice body area occupying the numerical value setting image exceeds the limit; the proportion analysis equipment is also used for sending a second control command when the area proportion of the ice body area occupying the numerical setting image is not over the limit; the pinhole imager is arranged at the top of the glass water storage tank below the front end cover of the automobile and used for executing real-time imaging operation on the glass water storage tank so as to obtain a corresponding real-time in-tank image.
The intelligent instruction driving method is safe, reliable and simple to operate. The ice distribution area in the glass water storage tank below the front end cover of the automobile is measured, so that when the ice area is too large, a water spraying driving instruction sent by a corresponding automobile user is rejected, and the damage to a water spraying pipeline is avoided.
Detailed Description
Embodiments of the present invention will be described in detail below.
The body of a car is mounted on the frame of a chassis for the driver, passengers or cargo. The body of a passenger car or a passenger car is generally of an integral structure, and the body of a truck is generally composed of a cab and a container.
The automotive body structure mainly includes: vehicle body housings, vehicle doors, vehicle windows, vehicle front panel parts, interior and exterior vehicle body trim and vehicle body accessories, seats, and ventilation, heating, cooling, air conditioning devices, and the like. Trucks and special purpose vehicles also include cargo boxes and other equipment.
The car body shell is the installation foundation of all car body parts, and generally refers to a rigid space structure formed by main bearing elements such as longitudinal beams, transverse beams, pillars and the like and plate parts connected with the main bearing elements. Passenger car bodies mostly have a distinct framework, while passenger car bodies and truck cabs do not. The body shell typically also includes sound, heat, vibration, corrosion, sealing, etc. materials and coatings applied thereto.
At present, in cold seasons in winter or in cold regions at high latitudes, glass water in a glass water storage tank below a front end cover of an automobile is easy to freeze, and if glass water spraying operation is still performed, on one hand, glass water liquid is difficult to spray, and on the other hand, when ice water mixture is sprayed, ice slag scratches a spraying pipeline, so that subsequent use is influenced.
In order to overcome the defects, the invention provides an intelligent instruction driving method which comprises the steps of using an intelligent instruction driving system to measure the ice body distribution area in a glass water storage tank below a front end machine cover of an automobile, and refusing a water spraying driving instruction sent by a corresponding automobile user when the ice body area is too large.
The intelligent instruction driving system according to the embodiment of the invention comprises:
and the water spraying execution mechanism is connected with the water spraying key and used for refusing to respond to a water spraying driving instruction sent by a user to operate the water spraying key when receiving the first control command.
Next, the detailed configuration of the intelligent command driving system according to the present invention will be further described.
In the intelligent instruction driving system:
the water spraying executing mechanism is also used for responding to a water spraying driving instruction sent by a user to operate a water spraying button when receiving a second control command, and the water spraying button is arranged on the automobile steering wheel.
The intelligent instruction driving system can further comprise:
the numerical value setting device is respectively connected with the region analysis device and the color correction device and is used for setting pixel values of all pixel points of a non-attention region in the color correction image to be preset pixel values so as to obtain a numerical value setting image corresponding to the color correction image;
the proportion analysis equipment is respectively connected with the water spray execution mechanism and the numerical value setting equipment, and is used for extracting an ice body area in the numerical value setting image based on ice body imaging characteristics and sending a first control command when the area proportion of the ice body area occupying the numerical value setting image exceeds the limit;
the proportion analysis equipment is also used for sending a second control command when the area proportion of the ice body area occupying the numerical setting image is not over the limit;
the pinhole imager is arranged at the top of the glass water storage tank below the front end cover of the automobile and is used for executing real-time imaging operation on the glass water storage tank so as to obtain a corresponding real-time in-tank image;
the edge sharpening device is arranged at the top of the glass water storage tank, is connected with the pinhole imager, and is used for carrying out edge sharpening on the received real-time in-tank image so as to obtain and output a corresponding edge sharpened image;
the color correction device is connected with the edge sharpening device and used for executing color correction processing on the received edge sharpened image so as to obtain and output a corresponding color correction image;
the parameter extraction equipment is connected with the color correction equipment and used for receiving the color correction image, acquiring the area of each object pattern in the color correction image, taking the object pattern with the area close to the ice body area threshold value as a to-be-processed subimage, carrying out shape analysis on the to-be-processed subimage to obtain a plurality of geometric features of an object in the to-be-processed subimage, and respectively carrying out normalization processing on the geometric features to obtain a plurality of normalized features;
the signal detection equipment is connected with the parameter extraction equipment and used for receiving the plurality of normalization features and inputting the plurality of normalization features into a multi-input single-output deep neural network which is trained and tested in advance to obtain an output object type so as to determine whether ice exists or not, wherein the number of the normalization features is the same as that of the input parameters of the deep neural network;
the region analysis device is connected with the signal detection device and used for outputting an image region except the sub-image to be processed in the color correction image as a non-attention region when the ice body is determined to exist;
wherein, in the proportion analysis equipment, the number of the ice body areas is one or more.
The intelligent instruction driving system can further comprise:
the SDRAM storage device is connected with the numerical value setting device and used for receiving the numerical value setting image and temporarily storing the numerical value setting image;
and the SDRAM storage equipment is also connected with the area analysis equipment and is used for temporarily storing the non-concerned area.
The intelligent instruction driving system can further comprise:
the oscillation extraction equipment is arranged near the pinhole imager, is connected with the pinhole imager, and is used for receiving the real-time in-tank image and determining the maximum oscillation value of noise with the distribution range exceeding the number of preset pixel points in the real-time in-tank image;
the image slice analyzing device is connected with the oscillation extracting device and used for receiving the maximum oscillation value and carrying out average image slice segmentation processing on the real-time in-tank image based on the maximum oscillation value so as to obtain a plurality of image slices; in the image slice analyzing apparatus, the larger the maximum oscillation value is, the more image slices obtained by performing average image slice segmentation processing on the real-time in-tank image are.
The intelligent instruction driving system can further comprise:
an object counting device connected with the image slice analysis device and used for receiving the plurality of image slices, determining the number of the objects in the real-time in-can images involved in each image slice, and outputting the image slice with the largest number of the objects in the real-time in-can images involved as a high-value image slice;
and the object identification device is respectively connected with the oscillation extraction device and the object counting device and is used for identifying each object in the real-time in-tank image and sending each object to the object counting device.
The intelligent instruction driving system can further comprise:
the first adjusting device is connected with the object counting device and used for executing Laplace filtering processing on the high-value image slice to obtain a corresponding first adjusting image;
the second adjusting device is connected with the first adjusting device and used for performing corresponding color level adjustment on the first adjusting image and outputting an adjusted second adjusting image;
and the third adjusting device is connected with the second adjusting device and used for carrying out corresponding edge enhancement adjustment on the second adjusting image and outputting the adjusted third adjusting image.
In the intelligent instruction driving system:
the third mediation device is further connected with the edge sharpening device and used for sending the third regulation image to the edge sharpening device in place of the real-time in-tank image
The image slice analyzing device comprises a data receiving sub-device, a segmentation processing sub-device and an image output sub-device.
In the intelligent instruction driving system:
in the image slice analyzing device, the segmentation processing sub-device is respectively connected with the data receiving sub-device and the image output sub-device;
wherein, in the image slice parsing apparatus, the segmentation processing sub-apparatus is configured to perform an average image slice segmentation process on the real-time in-tank image based on the maximum oscillation value to obtain a plurality of image slices.
In addition, the SDRAM, i.e. Synchronous Dynamic Random Access Memory, is a Synchronous Dynamic Random Access Memory, where the synchronization refers to that a Synchronous clock is required for Memory operation, and the transmission of internal commands and data transmission are based on the Synchronous clock; dynamic means that the memory array needs to be refreshed continuously to ensure that data is not lost; random means that data are not stored linearly and sequentially, but data are read and written by freely appointing addresses. The clock frequency of the SDR SDRAM is the frequency of data storage. The operating voltage of the SDRAM is 3.3V.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (9)
1. An intelligent command driving method, which comprises using an intelligent command driving system to measure the ice distribution area in a glass water storage tank under a front end cover of an automobile so as to reject a water spraying driving command issued by a corresponding automobile user when the ice distribution area is too large, the intelligent command driving system comprising:
and the water spraying execution mechanism is connected with the water spraying key and used for refusing to respond to a water spraying driving instruction sent by a user to operate the water spraying key when receiving the first control command.
2. The method of claim 1, wherein:
the water spraying executing mechanism is also used for responding to a water spraying driving instruction sent by a user to operate a water spraying button when receiving a second control command, and the water spraying button is arranged on the automobile steering wheel.
3. The method of claim 2, wherein the system further comprises:
the numerical value setting device is respectively connected with the region analysis device and the color correction device and is used for setting pixel values of all pixel points of a non-attention region in the color correction image to be preset pixel values so as to obtain a numerical value setting image corresponding to the color correction image;
the proportion analysis equipment is respectively connected with the water spray execution mechanism and the numerical value setting equipment, and is used for extracting an ice body area in the numerical value setting image based on ice body imaging characteristics and sending a first control command when the area proportion of the ice body area occupying the numerical value setting image exceeds the limit;
the proportion analysis equipment is also used for sending a second control command when the area proportion of the ice body area occupying the numerical setting image is not over the limit;
the pinhole imager is arranged at the top of the glass water storage tank below the front end cover of the automobile and is used for executing real-time imaging operation on the glass water storage tank so as to obtain a corresponding real-time in-tank image;
the edge sharpening device is arranged at the top of the glass water storage tank, is connected with the pinhole imager, and is used for carrying out edge sharpening on the received real-time in-tank image so as to obtain and output a corresponding edge sharpened image;
the color correction device is connected with the edge sharpening device and used for executing color correction processing on the received edge sharpened image so as to obtain and output a corresponding color correction image;
the parameter extraction equipment is connected with the color correction equipment and used for receiving the color correction image, acquiring the area of each object pattern in the color correction image, taking the object pattern with the area close to the ice body area threshold value as a to-be-processed subimage, carrying out shape analysis on the to-be-processed subimage to obtain a plurality of geometric features of an object in the to-be-processed subimage, and respectively carrying out normalization processing on the geometric features to obtain a plurality of normalized features;
the signal detection equipment is connected with the parameter extraction equipment and used for receiving the plurality of normalization features and inputting the plurality of normalization features into a multi-input single-output deep neural network which is trained and tested in advance to obtain an output object type so as to determine whether ice exists or not, wherein the number of the normalization features is the same as that of the input parameters of the deep neural network;
the region analysis device is connected with the signal detection device and used for outputting an image region except the sub-image to be processed in the color correction image as a non-attention region when the ice body is determined to exist;
wherein, in the proportion analysis equipment, the number of the ice body areas is one or more.
4. The method of claim 3, wherein the system further comprises:
the SDRAM storage device is connected with the numerical value setting device and used for receiving the numerical value setting image and temporarily storing the numerical value setting image;
and the SDRAM storage equipment is also connected with the area analysis equipment and is used for temporarily storing the non-concerned area.
5. The method of claim 4, wherein the system further comprises:
the oscillation extraction equipment is arranged near the pinhole imager, is connected with the pinhole imager, and is used for receiving the real-time in-tank image and determining the maximum oscillation value of noise with the distribution range exceeding the number of preset pixel points in the real-time in-tank image;
the image slice analyzing device is connected with the oscillation extracting device and used for receiving the maximum oscillation value and carrying out average image slice segmentation processing on the real-time in-tank image based on the maximum oscillation value so as to obtain a plurality of image slices; in the image slice analyzing apparatus, the larger the maximum oscillation value is, the more image slices obtained by performing average image slice segmentation processing on the real-time in-tank image are.
6. The method of claim 5, wherein the system further comprises:
an object counting device connected with the image slice analysis device and used for receiving the plurality of image slices, determining the number of the objects in the real-time in-can images involved in each image slice, and outputting the image slice with the largest number of the objects in the real-time in-can images involved as a high-value image slice;
and the object identification device is respectively connected with the oscillation extraction device and the object counting device and is used for identifying each object in the real-time in-tank image and sending each object to the object counting device.
7. The method of claim 6, wherein the system further comprises:
the first adjusting device is connected with the object counting device and used for executing Laplace filtering processing on the high-value image slice to obtain a corresponding first adjusting image;
the second adjusting device is connected with the first adjusting device and used for performing corresponding color level adjustment on the first adjusting image and outputting an adjusted second adjusting image;
and the third adjusting device is connected with the second adjusting device and used for carrying out corresponding edge enhancement adjustment on the second adjusting image and outputting the adjusted third adjusting image.
8. The method of claim 7, wherein:
the third mediation device is further connected with the edge sharpening device and used for sending the third regulation image to the edge sharpening device in place of the real-time in-tank image
The image slice analyzing device comprises a data receiving sub-device, a segmentation processing sub-device and an image output sub-device.
9. The method of claim 8, wherein:
in the image slice analyzing device, the segmentation processing sub-device is respectively connected with the data receiving sub-device and the image output sub-device;
wherein, in the image slice parsing apparatus, the segmentation processing sub-apparatus is configured to perform an average image slice segmentation process on the real-time in-tank image based on the maximum oscillation value to obtain a plurality of image slices.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910408681.8A CN111137249A (en) | 2019-05-16 | 2019-05-16 | Intelligent instruction driving method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910408681.8A CN111137249A (en) | 2019-05-16 | 2019-05-16 | Intelligent instruction driving method |
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| Publication Number | Publication Date |
|---|---|
| CN111137249A true CN111137249A (en) | 2020-05-12 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910408681.8A Withdrawn CN111137249A (en) | 2019-05-16 | 2019-05-16 | Intelligent instruction driving method |
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| Country | Link |
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| CN (1) | CN111137249A (en) |
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2019
- 2019-05-16 CN CN201910408681.8A patent/CN111137249A/en not_active Withdrawn
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Application publication date: 20200512 |