CN220639689U - Video system for vehicle - Google Patents
Video system for vehicle Download PDFInfo
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- CN220639689U CN220639689U CN202220425706.2U CN202220425706U CN220639689U CN 220639689 U CN220639689 U CN 220639689U CN 202220425706 U CN202220425706 U CN 202220425706U CN 220639689 U CN220639689 U CN 220639689U
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- 238000004891 communication Methods 0.000 claims abstract description 9
- 238000007790 scraping Methods 0.000 claims abstract description 6
- 239000004677 Nylon Substances 0.000 claims description 21
- 229920001778 nylon Polymers 0.000 claims description 21
- 230000001681 protective effect Effects 0.000 claims description 20
- 230000017525 heat dissipation Effects 0.000 claims description 5
- 239000000779 smoke Substances 0.000 claims description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 1
- 238000000034 method Methods 0.000 abstract description 9
- 238000012545 processing Methods 0.000 abstract description 5
- 238000001514 detection method Methods 0.000 abstract description 2
- 238000005259 measurement Methods 0.000 description 10
- 238000013473 artificial intelligence Methods 0.000 description 7
- 239000013618 particulate matter Substances 0.000 description 7
- 238000009434 installation Methods 0.000 description 5
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000013136 deep learning model Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)
Abstract
The utility model relates to the technical field of unmanned, in particular to a video system for a vehicle, which comprises the following components: the device comprises a camera, a processor, a rain removal module and a rain sensor, wherein the camera is used for acquiring front image information of a vehicle, the rain removal module and the rain sensor are all in serial communication connection with the processor, the rain sensor is arranged on a front windshield of the vehicle, the camera is fixedly arranged on the inner side of the front windshield, and the rain removal module is used for scraping rainwater on the front windshield at a shooting coverage area of the camera. Whether there is the rainwater on the front windshield through rainfall sensor detection, then control except that the rain module and carry out the rainwater to front windshield and strike off, guarantee that the shooting of camera is clear, improve the follow-up intelligent driving precision of vehicle. The method is mainly used for processing images in bad weather or environment, so that the definition of the images is improved, clear images are provided for vehicles to detect the front obstacle, the vision system is helped to send out more accurate alarms, and the safety of the road surface can be greatly improved.
Description
Technical Field
The utility model relates to the technical field of unmanned operation, in particular to a video system for a vehicle.
Background
With the development of electric vehicles, the importance of safety of the electric vehicles is increasing, and the video system of the electric vehicles plays an important role. The vision system detects nearby objects through the image shot by the lens, and when the system detects that the danger exists, the system sends out a warning to prompt the driver. However, when the weather environment is bad, such as rainy or foggy, the definition of the image will be significantly reduced, so that the difficulty of detecting the object is high. Therefore, a system is needed to process images in bad weather or environment, so that the definition of the images is improved, clear images are provided for the unmanned vehicle vision system to detect objects, the vision system is helped to send out more accurate alarms, and the safety of the road surface can be greatly improved.
Disclosure of Invention
The present utility model provides a video system for a vehicle that solves the above-described technical problems.
The present utility model provides a video system for a vehicle to solve the above technical problems, including: the device comprises a camera, a processor, a rain removal module and a rain sensor, wherein the camera is used for acquiring front image information of a vehicle, the rain removal module and the rain sensor are in serial communication connection with the processor, the rain sensor is arranged on a front windshield of the vehicle, the camera is fixedly arranged on the inner side of the front windshield, and the rain removal module is used for scraping rainwater on the front windshield at a shooting coverage area of the camera.
Preferably, the processor is embedded in a cockpit of the vehicle and powered through a smoke outlet in the cockpit.
Preferably, the rain removing module is a vehicle self-carried windscreen wiper.
Preferably, the rain removing module comprises a driving motor and a miniature windscreen wiper, and the processor controls the driving motor to drive the miniature windscreen wiper to swing so as to scrape rainwater on a front windshield in front of the camera.
Preferably, the video system comprises a nylon protective shell, the processor is fixed in the nylon protective shell, the nylon protective shell is provided with an exhaust heat dissipation hole, and a window for serial communication connection is arranged on the side face of the nylon protective shell.
Preferably, the bottom of nylon protective housing is equipped with the screw hole, through the screw fixation in the top of vehicle instrument board.
Preferably, the vision system further comprises an inertial measurement unit for measuring vibration of the camera and feeding back information of the vibration to the processor.
Preferably, the video system further comprises a stable shooting module, and the processor controls the stable shooting module to remove the vibration of the camera.
Preferably, the vision system further comprises a particulate matter sensor, the particulate matter sensor is in communication connection with the processor, and the particulate matter sensor is arranged on the front windshield and is used for detecting particulate matters on the front windshield in front of the camera.
The beneficial effects are that: the present utility model provides a video system for a vehicle, comprising: the device comprises a camera, a processor, a rain removal module and a rain sensor, wherein the camera is used for acquiring front image information of a vehicle, the rain removal module and the rain sensor are in serial communication connection with the processor, the rain sensor is arranged on a front windshield of the vehicle, the camera is fixedly arranged on the inner side of the front windshield, and the rain removal module is used for scraping rainwater on the front windshield at a shooting coverage area of the camera. Whether there is the rainwater on the front windshield through rainfall sensor detection, then control except that the rain module and carry out the rainwater to front windshield and strike off, guarantee that the shooting of camera is clear, improve the follow-up intelligent driving precision of vehicle. The method is mainly used for processing images in bad weather or environment, so that the definition of the images is improved, clear images are provided for vehicles to detect the front obstacle, the vision system is helped to send out more accurate alarms, and the safety of the road surface can be greatly improved.
The foregoing description is only an overview of the present utility model, and is intended to provide a better understanding of the present utility model, as it is embodied in the following description, with reference to the preferred embodiments of the present utility model and the accompanying drawings. Specific embodiments of the present utility model are given in detail by the following examples and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the utility model and are incorporated in and constitute a part of this application, illustrate embodiments of the utility model and together with the description serve to explain the utility model and do not constitute a limitation on the utility model. In the drawings:
FIG. 1 is a schematic overall installation of a vision system for a vehicle of the present utility model;
FIG. 2 is a schematic view of a nylon protective case structure of a vision system for a vehicle according to the present utility model;
fig. 3 is a view showing a camera structure of the vision system for a vehicle according to the present utility model.
Reference numerals illustrate: the rain removal system comprises a vehicle 1, a rain removal module 2, a rainfall sensor 3, a camera 4, a nylon protective shell 5, an exhaust heat dissipation hole 6, a window 7 and an inertia measurement unit 8.
Detailed Description
The principles and features of the present utility model are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the utility model and are not to be construed as limiting the scope of the utility model. The utility model is more particularly described by way of example in the following paragraphs with reference to the drawings. Advantages and features of the utility model will become more apparent from the following description and from the claims. It should be noted that the drawings are in a very simplified form and are all to a non-precise scale, merely for convenience and clarity in aiding in the description of embodiments of the utility model.
It will be understood that when an element is referred to as being "fixed to" another element, it can be directly on the other element or intervening elements may also be present. When a component is considered to be "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When an element is referred to as being "disposed on" another element, it can be directly on the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this utility model belongs. The terminology used herein in the description of the utility model is for the purpose of describing particular embodiments only and is not intended to be limiting of the utility model. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
As shown in fig. 1 to 3, the present utility model provides a video system for a vehicle, including: the device comprises a camera 4, a processor, a rain removal module 2 and a rain sensor 3, wherein the camera 4 is used for acquiring front image information of a vehicle 1, the rain removal module 2 and the rain sensor 3 are all in serial communication connection with the processor, the rain sensor 3 is arranged on a front windshield of the vehicle 1, the camera 4 is fixedly arranged on the inner side of the front windshield, and the rain removal module 2 is used for scraping rainwater on the front windshield at a shooting coverage area of the camera 4.
Wherein the vehicle 1 is mainly an unmanned vehicle. Unmanned vehicles are automatically driven through artificial intelligence. The camera 4 of the video system is used for shooting to acquire front information, then signal processing is carried out, and finally the purpose of intelligent operation is achieved.
The rain removal module 2 is arranged on the outer side of the front windshield, the camera 4 is arranged on the inner side of the front windshield, rainwater can be encountered on the outer side of the front windshield, the rain removal module is detected through the rainfall sensor 3, then the processor sends out a signal to control the rain removal module 2 to act so as to scrape the rainwater off, and clear shooting of the front of the camera 4 is guaranteed.
The scheme can be applied to the unmanned vehicle, the capability of the unmanned vehicle for distinguishing objects on the road is improved, the accident chance of the road is reduced, and the road safety is improved. The utility model can improve the definition of images, and can be applied to different categories, such as outdoor traffic flow monitoring, unmanned aerial vehicle exploration systems, outdoor face recognition monitoring systems and the like. And easy to install, and is suitable for popularization and application.
Preferably, the processor is embedded in a cockpit of the vehicle 1 and powered by a smoke outlet in the cockpit. Because the overall video system has relatively low electrical power, the processor can draw power directly from the vehicle 1 smoke outlet without the need for an additional high power source.
In a preferred embodiment, the rain removal module 2 is a wiper of the vehicle 1. Or the rain removal module 2 comprises a driving motor and a miniature windscreen wiper, and the processor controls the driving motor to drive the miniature windscreen wiper to swing so as to scrape rainwater on the front windshield in front of the camera 4. The processor controls the miniature wiper or the wiper of the vehicle 1 to carry out the scraping operation according to the signal of the rainfall sensor 3.
Preferably, the video system comprises a nylon protective shell 5, the processor is fixed in the nylon protective shell 5, the nylon protective shell 5 is provided with an exhaust heat dissipation hole 6, and a window 7 for serial communication connection is arranged on the side face. The nylon protective housing 5 is non-conductive and safer, and the heat-resistant characteristic of nylon can cope with the high-temperature environment in the car. An exhaust heat dissipation hole 6 is arranged above the nylon protective shell 5 so as to reduce the overheat failure condition during the operation of the processor. The nylon protective housing 5 has a row of windows 7 for connecting the various sensors, cameras 4 to the processor.
Screw holes are formed in four corners of the bottom of the nylon protective shell 5, and the processor can be firmly installed above the instrument board by using screws. The camera 4, the inertial measurement unit 8, the rainfall sensor 3, and the particulate matter sensor are then connected to (3). The camera 4 and the inertial measurement unit 8 are connected to the artificial intelligence processor using a Universal Serial Bus (USB), while the rain sensor 3 and the particulate matter sensor are connected to the artificial intelligence processor using a serial port.
The camera 4 and the inertial measurement unit 8 are placed in the nylon protective case 5 and are mounted in the middle of the platform head in the vehicle cabin, so as to ensure that the image in front of the vehicle 1 can be clearly captured. The inertial measurement unit 8 is installed at a position right above the camera 4, so as to ensure that the vibration measured by the inertial measurement unit 8 is identical to the vibration sensed by the camera 4, and provide accurate vibration data for removing the dynamic blur module, so that the reliability of the artificial intelligence program is greatly improved.
Preferably, the rain sensor 3 is installed directly above the outside windshield. Compared with the installation at other positions, the rain amount falling on the windshield can be effectively reflected by the installation right above the windshield, so that the accuracy of the artificial intelligence program is greatly improved. After the test, the rainfall sensor 3 installed at the position does not block the sight of the driver, so that the installation position can be ensured not to influence the driving safety.
The working principle of the whole video system is as follows:
(a) And improving the definition of the image in bad weather and environment by using artificial intelligence.
(b) The particle sensor data is used for assisting the artificial intelligence in processing images in hazy weather.
(c) The inertial measurement unit 8 data is used to assist the artificial intelligence in processing images of the vehicle 1 in vibration.
(d) The rain sensor 3 data is used to help the artificial intelligence process images during raining.
(e) And integrating the processed images of the various modules by using a software algorithm.
In summary, the present video system has the following features:
(1) Hazy weather is detected by the particulate matter sensor.
(2) The inertial measurement unit 8 is used to detect the vibration of the vehicle 1.
(3) The light shortage of the road surface is detected through the deep learning model convolutional neural network architecture.
(4) Rain weather is detected through a deep learning model convolutional neural network architecture.
(5) After the hazy weather is detected, the hazy module is started to process the images in the hazy weather.
(6) After detecting the vibration, the motion blur removal module is started to process the image with the motion blur.
(7) After the insufficient light of the road surface is detected, the low-light intensity module is started to process the image with insufficient light.
(8) After detecting rainy weather, the rain removing module is started to process images in rainy days.
The specific operation is as follows: the camera 4 is arranged at the position right in the middle of the vehicle head, and the camera 4 is adjusted to be capable of shooting images in front of the vehicle.
The particulate matter sensor, the inertial measurement unit 8, the rainfall sensor 3 are connected to a processor.
The detection program of the processor can analyze the front image of the vehicle in real time.
The corresponding module is activated when bad weather or environment is detected.
The simple installation method and the low power feature of the scheme enable the utility model to be applied to most vehicle types and have high universality.
The above description is only of the preferred embodiments of the present utility model, and is not intended to limit the present utility model in any way; those skilled in the art will readily appreciate that the present utility model may be implemented as shown in the drawings and described above; however, those skilled in the art will appreciate that many modifications, adaptations, and variations of the present utility model are possible in light of the above teachings without departing from the scope of the utility model; meanwhile, any equivalent changes, modifications and evolution of the above embodiments according to the essential technology of the present utility model still fall within the scope of the present utility model.
Claims (6)
1. A vision system for a vehicle, comprising: the device comprises a camera, a processor, a rain removal module and a rain sensor, wherein the camera is used for acquiring front image information of a vehicle, the rain removal module and the rain sensor are in serial communication connection with the processor, the rain sensor is arranged on a front windshield of the vehicle, the camera is fixedly arranged on the inner side of the front windshield, and the rain removal module is used for scraping rainwater on the front windshield at a shooting coverage area of the camera.
2. The vision system for a vehicle of claim 1, wherein the processor is embedded within a cockpit of the vehicle and is powered by a smoke outlet within the cockpit.
3. The vision system for a vehicle of claim 1, wherein the rain removal module is a vehicle self-contained wiper blade.
4. The vision system for a vehicle of claim 1, wherein the rain removal module includes a drive motor and a micro wiper, and the processor controls the drive motor to drive the micro wiper to swing to scrape rain water on a front windshield in front of the camera.
5. The vision system for a vehicle of claim 1, wherein the vision system comprises a nylon protective housing, the processor is fixed in the nylon protective housing, the nylon protective housing is provided with an exhaust heat dissipation hole, and a window for serial communication connection is arranged on the side surface of the nylon protective housing.
6. The vision system for vehicle of claim 5, wherein the bottom of the nylon protective case is provided with screw holes, which are fixed above the dashboard of the vehicle by screws.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202220425706.2U CN220639689U (en) | 2022-03-01 | 2022-03-01 | Video system for vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202220425706.2U CN220639689U (en) | 2022-03-01 | 2022-03-01 | Video system for vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN220639689U true CN220639689U (en) | 2024-03-22 |
Family
ID=90286836
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202220425706.2U Active CN220639689U (en) | 2022-03-01 | 2022-03-01 | Video system for vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN220639689U (en) |
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2022
- 2022-03-01 CN CN202220425706.2U patent/CN220639689U/en active Active
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