CN212301893U - Automatic detection system for motor vehicle driver examination field - Google Patents
Automatic detection system for motor vehicle driver examination field Download PDFInfo
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- CN212301893U CN212301893U CN202020449983.8U CN202020449983U CN212301893U CN 212301893 U CN212301893 U CN 212301893U CN 202020449983 U CN202020449983 U CN 202020449983U CN 212301893 U CN212301893 U CN 212301893U
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Abstract
The utility model discloses a motor vehicle driver examination place automated inspection's system, include: the system comprises an image processing cloud platform and an unmanned aerial vehicle which is wirelessly connected with the image processing platform; a camera and a laser radar (LIDAR) are carried on the unmanned aerial vehicle, and the camera and the LIDAR respectively acquire image data and laser point cloud data of an examination field of a driver of the motor vehicle; the unmanned aerial vehicle is also provided with a communication module, and the communication module is respectively connected with the camera and the laser radar LIDAR; the image processing cloud platform comprises a signal receiving device, an image processing chip and a signal sending device, wherein the signal receiving device and the signal sending device are both connected with the image processing chip, and the signal sending device is further connected with detection result output equipment. The system solves the problems of large workload and high time cost of manual detection, ensures the accuracy of detection and improves the detection efficiency.
Description
Technical Field
The utility model relates to a detect technical field, concretely relates to motor vehicle driver examination place automated inspection's system.
Background
With the continuous and rapid increase of the quantity of motor vehicles, automobiles become a transportation tool for ordinary people, and the requirement for taking examination by drivers of motor vehicles to obtain driving licenses is increased year by year. The examination of the motor vehicle driver comprises a site driving skill examination (namely a subject two examination), and an examination room with qualified acceptance is a fair and fair basis of the subject two examination, however, the examination and acceptance detection work of the motor vehicle driver examination room in China is mainly carried out by a manual measurement and manual judgment method, and the manual acceptance detection has the problems of large detection workload, high time cost, poor accuracy and the like, for example, the detection of a single examination room may take 2 to 4 days or even longer, and if the examination needs to be rechecked, the examination room consumes more time and labor.
SUMMERY OF THE UTILITY MODEL
The utility model provides a motor vehicle driver examination place automated inspection's system has realized examination room and has detected acceptance digitization, automation to the time and the manual work that the examination room detected the cost have been saved.
The system for automatically detecting the examination site of the motor vehicle driver comprises the following steps: the system comprises an image processing cloud platform and an unmanned aerial vehicle which is wirelessly connected with the image processing platform;
a camera and a laser radar LIDAR are carried on the unmanned aerial vehicle, and the camera and the laser radar LIDAR respectively acquire image data and laser point cloud data of an examination field of a motor vehicle driver;
the unmanned aerial vehicle is also provided with a communication module, and the communication module is respectively connected with the camera and the laser radar LIDAR;
the image processing cloud platform comprises a signal receiving device, an image processing chip and a signal sending device, wherein the signal receiving device and the signal sending device are both connected with the image processing chip, and the signal sending device is further connected with detection result output equipment.
Optionally, the cameras are fixed-focus mapping cameras, the number of the cameras is multiple, and one of the multiple cameras vertically shoots an examination place of the motor vehicle driver;
and a plurality of cameras in the plurality of cameras are inclined at a preset angle to shoot the motor vehicle driver examination site.
Optionally, the number of the cameras is five, one of the cameras vertically shoots the test site of the driver of the motor vehicle, and the four cameras are inclined by 35 degrees to shoot the height and the gradient of the test site of the driver of the motor vehicle.
Optionally, the communication module is a fifth generation mobile communication 5G module or a fourth generation mobile communication 4G module; the signal receiving device and the signal sending device are both 5G signal devices.
Optionally, the detection result output device is a display or a voice output device.
Has the advantages that: by means of the driver examination room detection, the unmanned aerial vehicle collects images of the examination room to be detected, and the image processing cloud platform obtains a detection result based on image matching. On one hand, compared with the traditional manual detection examination room scheme, the method can accurately detect whether the driver examination room is qualified or not, effectively solves the problems of large detection workload, high time cost and the like of manual detection, ensures the detection accuracy and improves the detection efficiency; on the other hand, automation and digitization of examination room detection are realized, and management monitoring and later-stage rechecking are facilitated.
Drawings
Fig. 1 shows a block diagram of a system for automatic detection of an examination site for a driver of a motor vehicle according to one embodiment of the present application.
Detailed Description
The traditional checking and accepting detection work of a motor vehicle driver test room is carried out by a manual measurement and manual judgment method, and the problems of large detection workload and high time cost exist in manual checking and accepting detection. In view of this, the application provides a system for motor vehicle driver examination place automated inspection, introduces unmanned aerial vehicle and image processing cloud platform, and local in the examination room, utilizes unmanned aerial vehicle to carry out image acquisition, and long-range image processing cloud platform that utilizes carries out image matching reachs the testing result, has avoided the problem that wastes time and energy that testing personnel detected on the spot and has accepted the acceptance and lead to, has realized automation and the digitization that the examination room detected.
Referring to fig. 1, the system for automatically detecting a vehicle driver examination site according to this embodiment is specifically described below, and as shown in fig. 1, a system 100 for automatically detecting a vehicle driver examination site according to this embodiment of the present application includes an image processing cloud platform 101 and an unmanned aerial vehicle 102;
the unmanned aerial vehicle 102 is equipped with a camera and a laser radar LIDAR (light Detection and ranging), and the camera and the laser radar LIDAR respectively acquire image data and laser point cloud data of an examination place of a motor vehicle driver.
The unmanned aerial vehicle 102 is further provided with a communication module, and the communication module is respectively connected with the camera and the laser radar LIDAR.
The image processing cloud platform 101 comprises a signal receiving device, an image processing chip and a signal sending device,
the signal receiving device and the signal sending device are both connected with the image processing chip, and the signal sending device is also connected with detection result output equipment.
As shown in fig. 1, in the system for automatically detecting an examination site of a driver of a motor vehicle according to the embodiment, an unmanned aerial vehicle is used for collecting an image and laser point cloud data of an examination site to be detected, an examination site model is constructed by using an image processing cloud platform and an image processing and modeling algorithm in the prior art, and after a detection result is obtained, the detection result is output through a detection result output device. Therefore, automation and digitization of examination room detection are realized, and the problems of large detection workload, high time cost and the like in manual detection are solved.
Considering the characteristics of large examination field space of drivers and scattered distribution of examination items, and the advantages of flexible photographing maneuver of the unmanned aerial vehicle, capability of flying at ultra-low altitude visual range, low requirement on taking-off and landing fields and the like, preferably, the cameras on the unmanned aerial vehicle are fixed-focus mapping cameras, the number of the cameras is multiple, and one camera in the multiple cameras vertically takes a picture of the examination field of the driver of the motor vehicle; and a plurality of cameras in the plurality of cameras are inclined at a preset angle to shoot the motor vehicle driver examination site. For example, the number of the cameras is five, one camera vertically shoots the motor vehicle driver examination site in a downward direction, and the four cameras shoot the height and gradient information of the motor vehicle driver examination site in an inclined manner at 35 degrees.
Specifically, the camera on the unmanned aerial vehicle, gather the examination room image, laser radar LIDAR on the unmanned aerial vehicle gathers the cloud data of laser point, man-machine passes through communication module, for example 5G mobile communication module or 4G mobile communication module, carries out the real-time passback and the ground real time monitoring of image and the cloud data of laser point, has avoided because objects such as trees shelter from the not clear, incomplete problem of examination room image acquisition that leads to, has further improved image acquisition's validity and precision.
It should be noted that the image acquired by the unmanned aerial vehicle is image information of the examination room quantization feature acquired by the unmanned aerial vehicle. The examination room quantitative characteristics comprise various examination item graphs, marking lines of examination room facilities, position information and the like. The test items include one or more of the following test items: parking in a reverse mode, parking on the side, parking and starting on a slope at a fixed point, turning at a right angle, driving on a curve, driving in a pile, driving through a unilateral bridge, passing through continuous obstacles, passing through a width-limiting door, driving on an undulating road, turning around on a narrow road, simulating the driving on a highway and simulating the driving on a continuous sharp-curved mountain road. The examination room facilities are, for example, bidirectional two-lane roads, observation points, energy dissipation objects or facilities arranged in the lateral clearance range of the roads, and the like.
Preferably, in order to improve the detection efficiency and accuracy, the image processing cloud platform of the embodiment is connected with a fifth generation mobile communication module inside the unmanned aerial vehicle. The fifth generation mobile communication module is the 5G module, the 5G communication technology has the advantages of high data rate, low time delay and the like, the image processing cloud platform is connected with the 5G module on the unmanned aerial vehicle to carry out real-time return and ground real-time monitoring of the images acquired by the unmanned aerial vehicle, and the real-time performance and the accuracy of examination room detection are guaranteed. Correspondingly, the signal receiving device and the signal sending device of the image processing cloud platform are both 5G signal devices.
In one embodiment, an image processing chip of the image processing cloud platform processes and models an image to obtain an examination room three-dimensional model. And matching the examination room acceptance standard model with the examination room three-dimensional model through the examination room acceptance standard model to determine a detection result. The examination standard model of the examination room is determined according to the examination room for the motor vehicle driver and the facility setting standard thereof, so that the beneficial effect of automatically detecting whether examination items and examination room facilities meet the requirements of the examination room for the motor vehicle driver and the facility setting standard thereof is achieved.
It should be noted that modeling by the image processing chip is a mature algorithm and function in the prior art, and this embodiment does not relate to improvement of the method, but provides an image that is different from an algorithm processing object in the prior art, that is, the image and the laser point cloud data of the examination room acquired by the unmanned aerial vehicle are provided in this embodiment, so that technical features of matching the acquired image with a standard image to obtain a matching result may be referred to the description of the prior art, and are not described herein again.
In addition, the image processing cloud platform of the embodiment has an output device, where the output device may be a display, and the display is used for displaying the detection result, such as a qualified or unqualified detection result. The output device can also be a voice output device, and the voice output device is used for voice broadcasting of the detection result.
In summary, the system for automatically detecting the examination field of the motor vehicle driver collects the image and the laser point cloud data of the examination field to be detected through the unmanned aerial vehicle, and obtains the detection result by using the image processing cloud platform. Therefore, on one hand, the problems of large workload, high time cost and the like of manual detection are effectively solved, and the detection accuracy is ensured; on the other hand, the automation and the digitization level of examination room detection and the examination room detection efficiency are improved, and management monitoring and later-stage rechecking are facilitated.
In view of the above, it is only the specific embodiments of the present invention that other modifications and variations can be made by those skilled in the art based on the above-described embodiments in light of the above teachings. It should be understood by those skilled in the art that the foregoing detailed description is for the purpose of better explaining the present invention, and the scope of the present invention is defined by the scope of the appended claims.
Claims (5)
1. A system for automatic testing of an examination site for a driver of a motor vehicle, the system comprising: the system comprises an image processing cloud platform and an unmanned aerial vehicle which is wirelessly connected with the image processing platform;
the unmanned aerial vehicle is provided with a camera and a laser radar LIDAR,
the camera and the laser radar LIDAR respectively acquire image data and laser point cloud data of an examination field of a driver of the motor vehicle;
the unmanned aerial vehicle is also provided with a communication module, and the communication module is respectively connected with the camera and the laser radar LIDAR;
the image processing cloud platform comprises a signal receiving device, an image processing chip and a signal sending device, wherein the signal receiving device and the signal sending device are both connected with the image processing chip,
the signal sending device is also connected with the detection result output equipment.
2. The system of claim 1, wherein the camera is a fixed focus mapping camera,
the number of the cameras is a plurality of cameras,
one camera of the plurality of cameras vertically shoots an examination place of a driver of the motor vehicle;
and a plurality of cameras in the plurality of cameras are inclined at a preset angle to shoot the motor vehicle driver examination site.
3. The system of claim 2, wherein the number of cameras is five,
one camera vertically shoots the motor vehicle driver examination site downwards, and the four cameras shoot height information and gradient information of the motor vehicle driver examination site in an inclined mode at 35 degrees.
4. The system according to claim 1, wherein the communication module is a fifth generation mobile communication 5G module or a fourth generation mobile communication 4G module;
the signal receiving device and the signal sending device are both 5G signal devices.
5. The system according to any one of claims 1 to 4, wherein the detection result output device is a display or a voice output device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020449983.8U CN212301893U (en) | 2020-03-31 | 2020-03-31 | Automatic detection system for motor vehicle driver examination field |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020449983.8U CN212301893U (en) | 2020-03-31 | 2020-03-31 | Automatic detection system for motor vehicle driver examination field |
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| CN212301893U true CN212301893U (en) | 2021-01-05 |
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| CN202020449983.8U Expired - Fee Related CN212301893U (en) | 2020-03-31 | 2020-03-31 | Automatic detection system for motor vehicle driver examination field |
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- 2020-03-31 CN CN202020449983.8U patent/CN212301893U/en not_active Expired - Fee Related
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