CN111652027A - Silent vehicle instant recognition platform - Google Patents
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- CN111652027A CN111652027A CN201910890206.9A CN201910890206A CN111652027A CN 111652027 A CN111652027 A CN 111652027A CN 201910890206 A CN201910890206 A CN 201910890206A CN 111652027 A CN111652027 A CN 111652027A
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- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 230000011218 segmentation Effects 0.000 claims description 36
- 238000001914 filtration Methods 0.000 claims description 29
- 238000012545 processing Methods 0.000 claims description 18
- 238000000034 method Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 6
- 230000009471 action Effects 0.000 claims description 5
- 230000015654 memory Effects 0.000 description 13
- 230000001360 synchronised effect Effects 0.000 description 7
- 238000012986 modification Methods 0.000 description 3
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- 230000005540 biological transmission Effects 0.000 description 2
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- 238000007726 management method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
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- 238000013461 design Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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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
- B60Q5/00—Arrangement or adaptation of acoustic signal devices
- B60Q5/005—Arrangement or adaptation of acoustic signal devices automatically actuated
- B60Q5/008—Arrangement or adaptation of acoustic signal devices automatically actuated for signaling silent vehicles, e.g. for warning that a hybrid or electric vehicle is approaching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4007—Scaling of whole images or parts thereof, e.g. expanding or contracting based on interpolation, e.g. bilinear interpolation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0008—Industrial image inspection checking presence/absence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
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- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
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- Quality & Reliability (AREA)
- Acoustics & Sound (AREA)
- Mechanical Engineering (AREA)
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Abstract
The invention relates to a silent vehicle instant recognition platform, comprising: the parameter analysis equipment is arranged in a center console of the vehicle and used for carrying out geometric shape matching on the outline of the electric bicycle and the filter sharpening image so as to obtain one or more electric bicycle objects in the filter sharpening image; the parameter analysis equipment is also used for sending an object approaching signal when an electric bicycle object with the scene depth being higher than a preset scene depth threshold value exists in the filter sharpened image, and otherwise, sending an object far signal; and the console display screen is used for displaying the text information corresponding to the object approaching signal and simultaneously starting receiving and displaying the filter sharpening image when the object approaching signal is received. The silent vehicle instant recognition platform has a compact structure and is expected to be wide. The analysis of whether the electric bicycle exists behind the vehicle avoids the occurrence of a silent accident that the electric bicycle collides with the vehicle.
Description
Technical Field
The invention relates to the field of safe driving, in particular to a silent vehicle instant identification platform.
Background
Steering means steering a vehicle, a ship, an airplane, or the like to travel. The correct driving posture is very important for safe driving, so that the fatigue of long-time driving can be eliminated, a good driving visual field can be ensured, and the driving action can be more accurate and rapid. The driving posture is mainly related to the steering wheel and the seat. After the driver's seat is seated, the seat should first be seated deep behind the seat with the waist and shoulders resting on the seat back. Whether the front-back distance and the backrest angle of the seat are proper is sensed, then the handle arms extend forwards, and two sides of the steering wheel are naturally held. In this case, the wrist must be freely bendable and freely movable. The legs have certain moving space, the effort is not required when the clutch pedal, the brake pedal or the accelerator is stepped by feet, the body does not need to lean forward, and the position is basically proper at the moment. If not appropriate, the user can slide back and forth to a lower seat position or adjust the angle of the seat back tilt.
It is emphasized that after the driving sitting posture is adjusted, tens of millions remember to fasten the safety belt, so that the situation that the driver suddenly thinks that the driver does not fasten the safety belt in the driving process and the tension and the unsafe factors are caused is avoided.
Disclosure of Invention
The invention has at least the following two important points:
(1) distortion adjusting equipment, rotation correcting equipment, guiding filtering equipment and filter sharpening equipment are introduced into the miniature snapshot structure to ensure the definition of an output image, so that the integration degree of an image processing system is enhanced;
(2) because the electric bicycle is silent and is not easy to be found by a vehicle driver, particularly the electric bicycle behind the vehicle, whether the electric bicycle exists behind the vehicle is analyzed on the basis of high-precision image processing so as to avoid the occurrence of a silent accident that the electric bicycle collides with the vehicle.
According to an aspect of the present invention, there is provided a silent vehicle instant recognition platform, comprising:
the parameter analysis equipment is arranged in a center console of the vehicle, is connected with the filter sharpening equipment and is used for matching the geometric shapes of the outlines of the electric bicycles and the filter sharpened images to obtain one or more electric bicycle objects in the filter sharpened images;
the parameter analysis equipment is further used for sending an object approaching signal when an electric bicycle object with a scene depth smaller than a preset scene depth threshold value exists in the filter sharpening image, otherwise, sending an object far signal, wherein the outline of the electric bicycle is an image which is obtained by shooting the electric bicycle in advance and only comprises the electric bicycle;
the center console display screen is connected with the parameter analysis equipment and used for displaying character information corresponding to the object approaching signal when the object approaching signal is received and simultaneously starting receiving and displaying the filter sharpening image;
the center console display screen is further used for finishing receiving and displaying the filter sharpened image when the object far signal is received;
the SGRAM storage chip is arranged near the micro snapshot structure, is connected with the micro snapshot structure and is used for pre-storing various configuration parameters of the micro snapshot structure, and the various configuration parameters comprise shutter speed, exposure and image frame rate.
The silent vehicle instant recognition platform has a compact structure and is expected to be wide. The analysis of whether the electric bicycle exists behind the vehicle avoids the occurrence of a silent accident that the electric bicycle collides with the vehicle.
Detailed Description
Embodiments of the silent vehicle instant recognition platform of the present invention will be described in detail below.
An electric bicycle is a mechatronic personal transportation tool which takes a storage battery as auxiliary energy and is provided with an electric motor, a controller, the storage battery, a rotating handle brake handle and other operating components and a display instrument system on the basis of a common bicycle.
The data of 'the new peak forum of the industry of the Chinese electric bicycles' in 2013 shows that the Chinese electric bicycles break through 2 hundred million vehicles by 2013, and the electric bicycles 'new national standards' which are in dispute all the time will come out. The new national standard is expected to bring a big revolution in the electric bicycle industry.
And 16 days 1 and 16 months 2018, and 16 days of the approval draft of national standard of electric bicycle safety technical Specification revised by Ministry of industry and communications face social public work. And 5, 16 months in 2018, the State administration of market supervision and administration, and the State Committee of standardization and management approved and released New revised safety technical Specifications for electric bicycles. And 8, 25 months, the electric bicycle industrial product production license management shifts to implement a mandatory product authentication transition period from 8, 1 months in 2018 to 4, 14 months in 2019.
At present, because electric bicycle is fast, lack special driving lane, rob the lane to the vehicle as the car very easily, electric bicycle's the sound of traveling is very little, and the rear blind area of car is more, and the driver of car hardly discovers electric bicycle's being close, let alone carry out the driving operation of pertinence avoiding, takes place when leading to the collision accident.
In order to overcome the defects, the invention builds a silent vehicle instant identification platform, and can effectively solve the corresponding technical problem.
The silent vehicle instant recognition platform shown according to the embodiment of the invention comprises:
the parameter analysis equipment is arranged in a center console of the vehicle, is connected with the filter sharpening equipment and is used for matching the geometric shapes of the outlines of the electric bicycles and the filter sharpened images to obtain one or more electric bicycle objects in the filter sharpened images;
the parameter analysis equipment is further used for sending an object approaching signal when an electric bicycle object with a scene depth smaller than a preset scene depth threshold value exists in the filter sharpening image, otherwise, sending an object far signal, wherein the outline of the electric bicycle is an image which is obtained by shooting the electric bicycle in advance and only comprises the electric bicycle;
the center console display screen is connected with the parameter analysis equipment and used for displaying character information corresponding to the object approaching signal when the object approaching signal is received and simultaneously starting receiving and displaying the filter sharpening image;
the center console display screen is further used for finishing receiving and displaying the filter sharpened image when the object far signal is received;
the SGRAM storage chip is arranged near the micro snapshot structure, is connected with the micro snapshot structure and is used for pre-storing various configuration parameters of the micro snapshot structure, wherein the various configuration parameters comprise shutter speed, exposure and image frame rate;
the miniature snapshot structure is embedded in a safety guard bar behind a vehicle and comprises a miniature camera, distortion adjusting equipment, rotation correcting equipment, guiding filtering equipment and filter sharpening equipment, wherein the miniature camera is used for performing camera shooting action behind the vehicle so as to obtain a corresponding acquired image behind the vehicle;
the distortion adjusting equipment is connected with the miniature camera and is used for executing distortion adjusting action on the received acquired image behind the vehicle so as to obtain a corresponding distortion adjusting image;
the rotation correction device is connected with the distortion adjusting device and is used for executing rotation correction processing on the received distortion adjusting image to obtain a corresponding rotation correction image;
the guiding filtering device is connected with the rotation correcting device and used for executing guiding filtering processing on the received rotation correcting image to obtain a corresponding guiding filtering image;
and the filter sharpening device is connected with the guide filtering device and is used for carrying out filter sharpening processing based on the USM filter on the received guide filtering image so as to obtain and output a corresponding filter sharpened image.
Next, the detailed structure of the silent vehicle instant recognition platform of the present invention will be further described.
In the silent vehicle instant recognition platform, the method further comprises the following steps:
and the time division duplex communication equipment is connected with the filter sharpening equipment and is used for receiving and wirelessly sending the filter sharpened image through a time division duplex communication link.
In the silent vehicle instant recognition platform:
the distortion adjusting device, the rotation correcting device, the guiding filtering device and the filter sharpening device are in communication connection with each other through a 32-bit parallel data bus.
In the silent vehicle instant recognition platform, the method further comprises the following steps:
and the cubic interpolation equipment is arranged in a center console of the vehicle and used for receiving the filter sharpened image and executing image interpolation processing based on a cubic interpolation method on the filter sharpened image so as to obtain and output a cubic interpolation image.
In the silent vehicle instant recognition platform, the method further comprises the following steps:
and the content segmentation device is connected with the cubic interpolation device and is used for executing vehicle segmentation processing based on a corresponding vehicle segmentation threshold value on the cubic interpolation image so as to obtain and output a corresponding primary segmentation sub-image.
In the silent vehicle instant recognition platform, the method further comprises the following steps:
and the data analysis device is connected with the content segmentation device and used for performing area analysis on the received primary segmentation sub-images so as to send out a recognition success signal when the area proportion of the primary segmentation sub-images occupying the cubic interpolation image exceeds the limit, and otherwise, send out a recognition failure signal.
In the silent vehicle instant recognition platform, the method further comprises the following steps:
and the homomorphic filtering device is arranged between the cubic interpolation device and the content segmentation device, is also connected with the data analysis device, and is used for executing homomorphic filtering processing on the received cubic interpolation image when receiving the identification failure signal so as to obtain a homomorphic filtering image, and replacing the cubic interpolation image with the homomorphic filtering image and sending the homomorphic filtering image to the content segmentation device.
In the silent vehicle instant recognition platform:
the content segmentation device, upon receiving the homomorphic filtered image, performs vehicle segmentation processing based on a corresponding vehicle segmentation threshold on the cubic interpolated image to obtain a corresponding re-segmented sub-image, and outputs the re-segmented sub-image as a representative sub-image;
wherein the homomorphic filtering device is further configured not to perform homomorphic filtering processing on the received cubic interpolation image when the recognition success signal is received.
In the silent vehicle instant recognition platform:
when the content segmentation equipment receives an identification success signal, directly outputting the primary segmentation sub-image as a representative sub-image;
the content segmentation device is further connected with the parameter analysis device and is used for sending the representative sub-image to the parameter analysis device in place of the filter-sharpened image.
In the silent vehicle instant recognition platform:
the SGRAM storage chip is also connected with the content segmentation equipment and used for storing the primary segmentation sub-image and the secondary segmentation sub-image;
the SGRAM storage chip is also connected with the data analysis equipment and used for receiving and storing the identification success signal or the identification failure signal.
In addition, the SGRAM is an abbreviation of Synchronous Graphics DRAM, which means that the Synchronous Graphics RAM is a video memory specially designed for a video card, is a video memory with stronger Graphics read-write capability, and is formed by improving SDRAM. The method improves the defect of low video memory transmission rate of low performance in the past, and creates conditions for improving the performance of the display card. The SGRAM reads and writes data not one by one, but uses a Block as a unit, thereby reducing the times of reading and writing the whole memory and improving the efficiency of a graphic controller. But the design and manufacturing cost is higher, and more, the display card is applied to higher-end display cards at that time. At present, such a video memory is not adopted by manufacturers and is replaced by a DDR video memory. SDRAM, Synchronous dynamic random access memory DRAM (SDRAM), was once the most widely used memory type in PC computers, and even today SDRAM still has a place in the market. Since it is a "synchronous dynamic random access memory," it means that its operating speed is synchronized with the system bus speed. The SDRAM memory is divided into different specifications of PC66, PC100, PC133, etc., and the number following the specification represents the maximum normal operating system bus speed of the memory, such as PC100, which means that the memory can operate synchronously in a computer with a system bus of 100 MHz. Synchronous with the system bus speed, namely synchronous with the system clock, thus avoiding unnecessary waiting period and reducing data storage time. Synchronization also allows the memory controller to know during which clock period the data is being requested and therefore the data can begin to be transferred during the pulse rise period. SDRAM uses 3.3 volt working voltage, 168Pin DIMM interface, and the bandwidth is 64 bits. SDRAM is not only used in memories, but also in video memories. SDRAM can work with CPU synchronization, does not have the latency cycle, reduces data transmission delay.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (10)
1. A silent vehicle instant messaging platform, comprising:
the parameter analysis equipment is arranged in a center console of the vehicle, is connected with the filter sharpening equipment and is used for matching the geometric shapes of the outlines of the electric bicycles and the filter sharpened images to obtain one or more electric bicycle objects in the filter sharpened images;
the parameter analysis equipment is further used for sending an object approaching signal when an electric bicycle object with a scene depth smaller than a preset scene depth threshold value exists in the filter sharpening image, otherwise, sending an object far signal, wherein the outline of the electric bicycle is an image which is obtained by shooting the electric bicycle in advance and only comprises the electric bicycle;
the center console display screen is connected with the parameter analysis equipment and used for displaying character information corresponding to the object approaching signal when the object approaching signal is received and simultaneously starting receiving and displaying the filter sharpening image;
the center console display screen is further used for finishing receiving and displaying the filter sharpened image when the object far signal is received;
the SGRAM storage chip is arranged near the micro snapshot structure, is connected with the micro snapshot structure and is used for pre-storing various configuration parameters of the micro snapshot structure, wherein the various configuration parameters comprise shutter speed, exposure and image frame rate;
the miniature snapshot structure is embedded in a safety guard bar behind a vehicle and comprises a miniature camera, distortion adjusting equipment, rotation correcting equipment, guiding filtering equipment and filter sharpening equipment, wherein the miniature camera is used for performing camera shooting action behind the vehicle so as to obtain a corresponding acquired image behind the vehicle;
the distortion adjusting equipment is connected with the miniature camera and is used for executing distortion adjusting action on the received acquired image behind the vehicle so as to obtain a corresponding distortion adjusting image;
the rotation correction device is connected with the distortion adjusting device and is used for executing rotation correction processing on the received distortion adjusting image to obtain a corresponding rotation correction image;
the guiding filtering device is connected with the rotation correcting device and used for executing guiding filtering processing on the received rotation correcting image to obtain a corresponding guiding filtering image;
and the filter sharpening device is connected with the guide filtering device and is used for carrying out filter sharpening processing based on the USM filter on the received guide filtering image so as to obtain and output a corresponding filter sharpened image.
2. The silent vehicle instant messaging platform of claim 1, wherein the platform further comprises:
and the time division duplex communication equipment is connected with the filter sharpening equipment and is used for receiving and wirelessly sending the filter sharpened image through a time division duplex communication link.
3. The silent vehicle instant messaging platform of claim 2, wherein:
the distortion adjusting device, the rotation correcting device, the guiding filtering device and the filter sharpening device are in communication connection with each other through a 32-bit parallel data bus.
4. The silent vehicle instant messaging platform of claim 3, wherein the platform further comprises:
and the cubic interpolation equipment is arranged in a center console of the vehicle and used for receiving the filter sharpened image and executing image interpolation processing based on a cubic interpolation method on the filter sharpened image so as to obtain and output a cubic interpolation image.
5. The silent vehicle instant messaging platform of claim 4, wherein the platform further comprises:
and the content segmentation device is connected with the cubic interpolation device and is used for executing vehicle segmentation processing based on a corresponding vehicle segmentation threshold value on the cubic interpolation image so as to obtain and output a corresponding primary segmentation sub-image.
6. The silent vehicle instant messaging platform of claim 5, wherein the platform further comprises:
and the data analysis device is connected with the content segmentation device and used for performing area analysis on the received primary segmentation sub-images so as to send out a recognition success signal when the area proportion of the primary segmentation sub-images occupying the cubic interpolation image exceeds the limit, and otherwise, send out a recognition failure signal.
7. The silent vehicle instant messaging platform of claim 6, wherein the platform further comprises:
and the homomorphic filtering device is arranged between the cubic interpolation device and the content segmentation device, is also connected with the data analysis device, and is used for executing homomorphic filtering processing on the received cubic interpolation image when receiving the identification failure signal so as to obtain a homomorphic filtering image, and replacing the cubic interpolation image with the homomorphic filtering image and sending the homomorphic filtering image to the content segmentation device.
8. The silent vehicle instant messaging platform of claim 7, wherein:
the content segmentation device, upon receiving the homomorphic filtered image, performs vehicle segmentation processing based on a corresponding vehicle segmentation threshold on the cubic interpolated image to obtain a corresponding re-segmented sub-image, and outputs the re-segmented sub-image as a representative sub-image;
wherein the homomorphic filtering device is further configured not to perform homomorphic filtering processing on the received cubic interpolation image when the recognition success signal is received.
9. The silent vehicle instant messaging platform of claim 8, wherein:
when the content segmentation equipment receives an identification success signal, directly outputting the primary segmentation sub-image as a representative sub-image;
the content segmentation device is further connected with the parameter analysis device and is used for sending the representative sub-image to the parameter analysis device in place of the filter-sharpened image.
10. The silent vehicle instant messaging platform of claim 9, wherein:
the SGRAM storage chip is also connected with the content segmentation equipment and used for storing the primary segmentation sub-image and the secondary segmentation sub-image;
the SGRAM storage chip is also connected with the data analysis equipment and used for receiving and storing the identification success signal or the identification failure signal.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910890206.9A CN111652027B (en) | 2019-09-20 | 2019-09-20 | Silent vehicle instant recognition platform |
| GBGB2014466.3A GB202014466D0 (en) | 2019-09-20 | 2020-09-15 | Silent vehicle instant recognition platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910890206.9A CN111652027B (en) | 2019-09-20 | 2019-09-20 | Silent vehicle instant recognition platform |
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| CN111652027A true CN111652027A (en) | 2020-09-11 |
| CN111652027B CN111652027B (en) | 2021-07-02 |
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| GB (1) | GB202014466D0 (en) |
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Also Published As
| Publication number | Publication date |
|---|---|
| GB202014466D0 (en) | 2020-10-28 |
| CN111652027B (en) | 2021-07-02 |
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