Vehicle window demisting method and system, storage medium and intelligent cabin

Abstract

The invention provides a vehicle window defogging method and system, a storage medium and an intelligent cabin. The method comprises the steps that temperature and humidity data and real-time image data of a foresight vehicle window are collected in real time; obtaining a fogging temperature threshold according to the temperature and humidity data; obtaining a vehicle window fogging state according to the fogging temperature threshold value, and when the vehicle window fogging state is a fogged state, confirming the fogged state based on the real-time image data; when confirmation is carried out, the current fogging space is obtained according to the temperature and humidity data, and defogging operation is carried out on the current fogging space. According to the method and the device, automatic identification and automatic defogging operation on the fogging state are realized, the fogging state of the vehicle window is confirmed based on the real-time image data, the accuracy of judgment on the fogging state is improved, the fogging space is subjected to defogging operation, the front-view vehicle window is ensured to be clear and visible, and the driving experience and the driving safety are improved.

Description

Technical Field

[0001] The present application belongs to the field of intelligent driving technology, and specifically relates to a vehicle window defog method, system, storage medium and intelligent cockpit. Background Art

[0002] With the development of automobile technology and the improvement of people's living standards, people's requirements for automobile intelligence and user experience are getting higher and higher. Car windows, such as the front windshield, are important channels for users to perceive information from the outside world while driving a car. Their importance is self-evident. The fogging of car windows affects the driver's visual judgment and has become an important factor affecting the user's driving safety.

[0003] Existing methods for detecting fogging of car windows mainly rely on the driver's observation and experience. Existing defoggers require manual operation by the driver. When the driver manually operates the defogger, there is a risk of driving distraction and driving safety hazards, and automatic adjustment cannot be achieved. The current intelligent driving system cannot timely monitor the fogging of the windshield in the front camera area and intelligently start the defogger method, which affects the intelligent driving experience and driving safety. Summary of the invention

[0004] In order to solve the above technical problems, this application innovatively proposes a vehicle window defog method, system, storage medium and smart cockpit, which aims to realize automatic identification and automatic defog operation of the fogging state of the front window, real-time monitoring of the fogging state of the front window, and improve the smart driving experience and driving safety.

[0005] Specifically, the present application proposes a vehicle window defog method, comprising:

[0006] Collect temperature and humidity data and real-time image data of the front window in real time; wherein the temperature and humidity data at least includes in-vehicle temperature data, in-vehicle humidity data and out-vehicle temperature data.

[0007] A fogging temperature threshold is obtained according to the temperature and humidity data.

[0008] The fogging state of the vehicle window is obtained according to the fogging temperature threshold, and when the vehicle window fogging state is a fogged state, the fogged state is confirmed based on the real-time image data; when confirming, the current fogging space is obtained according to the temperature and humidity data, and a defog operation is performed on the current fogging space.

[0009] In the above technical solution, by collecting temperature and humidity data and real-time image data of the front window in real time, the fogging state of the window is monitored in real time. After obtaining the fogging state of the window, it is confirmed based on the real-time image data, which improves the accuracy of the recognition of the fogging state of the front window. By obtaining the fogging space and performing the defog operation on the fogging space, the front window is automatically defogged, ensuring the clarity of the front window and improving the intelligent driving experience and traffic driving safety.

[0010] As an implementation manner, the window fogging state includes at least a non-fogging state and a fogging state; and obtaining the window fogging state according to the fogging temperature threshold comprises:

[0011] The vehicle interior temperature data is compared with the fogging temperature threshold, and when the vehicle interior temperature data is less than the fogging temperature threshold, the current vehicle window fogging state is determined to be a fogged state; otherwise, the current vehicle window fogging state is determined to be a non-fogged state.

[0012] By comparing the in-vehicle temperature data with the fogging temperature threshold to determine the fogging state of the vehicle windows, automatic recognition of the fogging state of the vehicle windows is achieved, thereby ensuring driving safety.

[0013] Further, the confirming the fogged state based on the real-time image data includes:

[0014] A fogging detection model is constructed based on a deep learning algorithm; the fogging detection model is trained by using historical image data of the front window under different working conditions collected in advance; the real-time image data is detected by the trained fogging detection model to confirm the fogging state of the current window according to the detection result.

[0015] The fogging detection model built through deep learning algorithm confirms the fogging status of the vehicle windows, making the judgment result of front window fogging more accurate. By detecting real-time image data, the efficiency of front window fogging judgment is improved, which improves the driver's driving experience.

[0016] Further, obtaining the current fogging space according to the temperature and humidity data includes:

[0017] The current fogging space includes at least inside and outside the vehicle; when it is confirmed that the current vehicle window is in a fogged state, a comparison is made based on the inside-vehicle temperature data and the outside-vehicle temperature data. If the outside-vehicle temperature data is less than the inside-vehicle temperature data, it is determined that the current fogging space is inside the vehicle; if the outside-vehicle temperature data is greater than the inside-vehicle temperature data, it is determined that the current fogging space is outside the vehicle.

[0018] By determining whether the current fogging space is inside or outside the vehicle, the accuracy of fogging detection is improved, and the location of fogging is accurately determined, thereby improving the accuracy and efficiency of the defog operation of the front window. In different driving environments, the location of the fogging window is determined by comparing the temperature data inside and outside the vehicle, so that the technical content described in this application can be applied to a variety of complex climates and driving environments.

[0019] Further, the defogging operation on the current fogging space includes:

[0020] If the current fogging space is inside a vehicle, a first defog operation is adopted; wherein the first defog operation is performed at least by a heating device.

[0021] If the current fogging space is outside the vehicle, a second defog operation is adopted; wherein the second defog operation performs a defog operation at least through a wiper device.

[0022] By taking corresponding defogger operations in different situations where the current fogging space is inside and outside the vehicle, the accuracy and efficiency of the defogger operation are improved, the clarity of the front window is ensured, and the safety and comfort of the driver are improved.

[0023] Based on the same inventive concept, the present application also proposes a system for a vehicle window defog method, the system comprising: a data acquisition module, a threshold acquisition module, a fogging confirmation module and a defog module.

[0024] The data acquisition module is used to collect temperature and humidity data and real-time image data of the front window in real time; wherein the temperature and humidity data at least includes in-vehicle temperature data, in-vehicle humidity data and out-vehicle temperature data.

[0025] The threshold acquisition module is used to acquire the fogging temperature threshold according to the temperature and humidity data.

[0026] The fogging confirmation module is used to obtain the fogging state of the vehicle window according to the fogging temperature threshold, and when the fogging state of the vehicle window is the fogged state, confirm the fogged state based on the real-time image data.

[0027] And, the defog module is used to obtain the current fogging space according to the temperature and humidity data, and perform a defog operation on the current fogging space.

[0028] Furthermore, the defog module also includes a fogging space acquisition module, which is used to acquire a current fogging space according to the temperature and humidity data; the current fogging space includes at least inside and outside the vehicle.

[0029] Furthermore, the defog module also includes an in-vehicle defog module and an out-vehicle defog module.

[0030] The in-vehicle defog module is used to adopt a first defog operation when the current fogging space is the interior of the vehicle; wherein the first defog operation is performed at least by a heating device.

[0031] The vehicle exterior defogger module is used to perform a second defogger operation when the current fogging space is outside the vehicle; wherein the second defogger operation is performed at least through a wiper device.

[0032] Based on the same inventive concept, the present application also proposes a computer-readable storage medium, which stores computer-executable instructions. The computer-executable instructions can be read by a domain controller and execute the vehicle window defog method.

[0033] Based on the same inventive concept, the present application also proposes a smart cockpit, in which a window defog system is provided. The window defog system uses the window defog method to perform defog operations on the current fogging space.

[0034] Compared with the prior art, this application has at least the following beneficial effects:

[0035] The window defog method proposed in this application provides an effective solution for fogging judgment and automatic defog of the front window of the car in practical application. By collecting temperature and humidity data and real-time image data of the front window in real time for judgment, the fogging state of the front window of the car is monitored in real time. By confirming the fogging state based on the real-time image data, the accuracy and reliability of the fogging state recognition of the front window are improved. By obtaining the current fogging space and performing the defog operation, the automatic defog operation of the front window of the car is realized, which improves the driving experience and driving safety of the intelligent driving process. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of a vehicle window defog method shown in an embodiment of the present application.

[0037] Figure 2 It is a schematic diagram of a vehicle window defog system shown in an embodiment of the present application. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0039] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0040] Embodiment 1:

[0041] Please refer to Figure 1 , the car window defog method mainly includes:

[0042] Real-time acquisition of temperature and humidity data and real-time image data of the front window; wherein the temperature and humidity data at least includes in-vehicle temperature data, in-vehicle humidity data and outside-vehicle temperature data. The in-vehicle temperature and humidity data can be acquired in real time mainly through a temperature and humidity sensor installed on the front window glass in the vehicle, and the outside-vehicle temperature data can be acquired through a temperature and humidity sensor installed outside the vehicle. The real-time image data is acquired through a front-view camera installed in the vehicle.

[0043] The fogging temperature threshold is obtained according to the temperature and humidity data. The fogging temperature threshold may be mainly the dew point temperature; the dew point temperature is calculated mainly according to the temperature and humidity data inside the vehicle and the temperature data outside the vehicle by a meteorological formula. The meteorological formula may be mainly:

[0044]

[0045] Where T dp is the dew point temperature, T is the temperature inside the car, RH is the relative humidity, e and b are constants, b is 17.27 degrees Celsius, and e is 237.7 degrees Celsius;

[0046] The fogging state of the vehicle window is obtained according to the fogging temperature threshold, and when the fogging state of the vehicle window is already fogged, the already fogged state is confirmed based on the real-time image data; when confirming, the current fogging space is obtained according to the temperature and humidity data, and the current fogging space is defogged. Among them, the fogging temperature threshold is used for judgment. When the temperature data in the vehicle is lower than the fogging temperature threshold, it is determined that the current front view window meets the fogging condition, and then it is confirmed according to the real-time image data whether fog appears on the front view window, and the corresponding defog operation is taken when fog appears on the front view window. The defog operation can mainly be to defog by turning on the wiper device or turning on the heating wire to increase the temperature in the vehicle for defog.

[0047] In some embodiments, the window fogging state includes at least a non-fogging state and a fogging state; and obtaining the window fogging state according to the fogging temperature threshold comprises:

[0048] The vehicle interior temperature data is compared with the fogging temperature threshold, and when the vehicle interior temperature data is less than the fogging temperature threshold, the current vehicle window fogging state is determined to be a fogged state; otherwise, the current vehicle window fogging state is determined to be a non-fogged state.

[0049] In actual situations, after the fogging temperature threshold is calculated through the temperature and humidity data of the vehicle environment, when the temperature data in the vehicle is lower than the fogging temperature threshold, it is determined that the current front window can be fogged, and the fogging state of the window is determined to be a fogged state. Otherwise, it is determined that the current front window cannot be fogged, and the fogging state of the window is determined to be a non-fogged state.

[0050] For example, after collecting the temperature and humidity data of the environment in which the car is located, the fogging temperature threshold is calculated by the meteorological formula, and then the temperature data inside the car is compared with the fogging temperature threshold. If the temperature data inside the car is less than the fogging temperature threshold, it is determined that the current front view window is in a fogged state; otherwise, it is determined that the front view window is in a non-fogged state, and the temperature and humidity data are collected again for judgment until the front view window is in a fogged state, and the fogged state is confirmed.

[0051] Optionally, the confirming the fogged state based on the real-time image data includes:

[0052] A fogging detection model is constructed based on a deep learning algorithm; the fogging detection model is trained by using historical image data of the front window under different working conditions collected in advance; the real-time image data is detected by the trained fogging detection model to confirm the fogging state of the current window according to the detection result.

[0053] The deep learning algorithm may be mainly a convolutional neural network, such as VGG16 (Visual Geometry Group 16-layer), ResNet (Residual Network), and YOLO (You Only Look Once). Those skilled in the art may select other deep learning models according to actual conditions, and are not limited thereto.

[0054] The historical image data of the front window under different working conditions can mainly be the historical image data of the front window taken by the front camera under different environments, such as image data taken under different weather conditions, different times, and different lighting environments. The historical image data is preprocessed, such as marking the fogging area of ​​the historical image data and standardizing it. The fogging detection model is trained with the preprocessed historical image data to speed up the training speed and improve the performance of the fogging detection model.

[0055] Optionally, acquiring the current fogging space according to the temperature and humidity data includes:

[0056] The current fogging space includes at least inside and outside the vehicle; when it is confirmed that the current vehicle window is in a fogged state, a comparison is made based on the inside-vehicle temperature data and the outside-vehicle temperature data. If the outside-vehicle temperature data is less than the inside-vehicle temperature data, it is determined that the current fogging space is inside the vehicle; if the outside-vehicle temperature data is greater than the inside-vehicle temperature data, it is determined that the current fogging space is outside the vehicle.

[0057] In actual driving, the current fogging space is inside the car mainly because the temperature inside the car is higher than the temperature outside the car, and the water vapor in the air inside the car condenses into fog on the car windows. For example, in winter or cold environments, cars often have fogging inside the car. The current fogging space is outside the car mainly because the temperature outside the car is higher than the temperature inside the car, and fog appears on the outer surface of the car window. For example, in summer or hot environments, the air conditioner is turned on in the car, causing the temperature inside the car to be lower than that outside the car, which often causes fogging outside the car.

[0058] Optionally, the performing a defogging operation on the current fogging space includes:

[0059] If the current fogging space is inside the car, the first defog operation is adopted; wherein, the first defog operation is performed by at least a heating device. The heating device can mainly be an air conditioner or a heating wire. For example, in a cold environment, when the surface of the car window is fogged and the vision is blurred, the fog on the window can be removed by heating the heating wire. When fog appears on the outer surface of the car, defog can be performed mainly by controlling the wiper device to enter the working state to ensure the clarity of the front view window. Those skilled in the art can select other heating devices to perform defog operations when the car is fogged according to actual conditions, and are not limited to air conditioning devices and heating wire devices.

[0060] If the current fogging space is outside the vehicle, the second defog operation is adopted; wherein the second defog operation is performed at least by the wiper device. For example, in summer or hot environment, due to the operation of the air conditioner in the vehicle, the temperature inside the vehicle is lower than the temperature outside the vehicle, and fog will appear on the outer surface of the front window, that is, fogging outside the vehicle. At this time, the wiper can be automatically controlled to work to remove the fog on the outer surface of the front window.

[0061] Embodiment 2:

[0062] Please refer to Figure 2 The present application also proposes a system using the vehicle window defog method described in Example 1, which mainly includes: a data acquisition module, a threshold acquisition module, a fogging confirmation module and a defog module.

[0063] Wherein, the data acquisition module is used to collect temperature and humidity data and real-time image data of the front window in real time; wherein, the temperature and humidity data at least include in-car temperature data, in-car humidity data and outside-car temperature data. In actual application scenarios, the in-car temperature data and in-car humidity data can be collected mainly through a temperature and humidity sensor installed on the front window in the car, and the outside-car temperature data can be collected through a temperature and humidity sensor installed outside the car. The temperature and humidity sensor can be a resistive temperature and humidity sensor or a capacitive temperature and humidity sensor. Those skilled in the art can select other temperature and humidity sensors according to actual needs, and are not limited to this. For example, semiconductor temperature and humidity sensors and thermal conductivity temperature and humidity sensors can also be selected. The real-time image data of the front window is collected by the front camera installed in the car.

[0064] The threshold acquisition module is used to acquire a fogging temperature threshold according to the temperature and humidity data. The fogging temperature threshold may be a dew point temperature, which can be acquired by calculating the dew point temperature based on the temperature and humidity data using a meteorological formula.

[0065] The fogging confirmation module is used to obtain the fogging state of the vehicle window according to the fogging temperature threshold, and when the vehicle window fogging state is a fogged state, confirm the fogged state based on the real-time image data. Wherein, the vehicle window fogging state includes at least a non-fogged state and a fogged state. When the in-vehicle temperature data is less than the fogging temperature threshold, it is determined that the current front view window is in a fogged state, otherwise, it is determined that the current front view window is in a non-fogged state. When the front view window is in a fogged state, the real-time image data can be mainly detected by a pre-constructed fogging detection model to confirm the fogged state.

[0066] The fogging detection model can mainly be a deep learning model, which is trained by pre-collecting historical image data of the front-view window under different working conditions, and is detected by the trained fogging detection model, so as to confirm the fogged state. The historical images of the front-view window under different working conditions can mainly be real-time image data collected by the front-view camera in different scenes, such as different weather, different seasons, and different lighting environments. The deep learning model can mainly be a convolutional neural network, such as VGG16, ResNet, and YOLO. Those skilled in the art can select other deep learning models according to actual conditions, and are not limited to this.

[0067] During the detection process using the fogging detection model, when the detection result is a fogged state, the fogged state is confirmed and the current front window is indeed in a fogged state; otherwise, it is determined that the current front window is in a non-fogged state.

[0068] And, the defog module is used to obtain the current fogging space according to the temperature and humidity data, and perform a defog operation on the current fogging space.

[0069] Optionally, the defogging module further includes a fogging space acquisition module, which is used to acquire the current fogging space according to the temperature and humidity data; the current fogging space includes at least the inside and outside of the vehicle. When it is determined that the current front window is in a fogged state, the inside temperature data is compared with the outside temperature data. When the outside temperature data is less than the inside temperature data, it is determined that the current fogging space is inside the vehicle; when the outside temperature data is greater than the inside temperature data, it is determined that the current fogging space is outside the vehicle.

[0070] Optionally, the defog module also includes an in-vehicle defog module and an out-vehicle defog module.

[0071] The in-vehicle defog module is used to adopt a first defog operation when the current fogging space is the interior of the vehicle; wherein the first defog operation is performed at least by a heating device.

[0072] The vehicle exterior defogger module is used to perform a second defogger operation when the current fogging space is outside the vehicle; wherein the second defogger operation is performed at least through a wiper device.

[0073] Among them, the heating device can mainly be an air-conditioning device or a heating wire. When it is determined that the current fogging space is inside the vehicle, the temperature of the front window can be increased by controlling the control device or the heating wire to perform defogger.

[0074] In the specific implementation process, taking the case where the in-vehicle defog module uses an air conditioner and the out-vehicle defog module uses a wiper as an example, after calculating the fogging temperature threshold through the collected temperature and humidity data and the real-time image data of the front window, it is determined that the current front window is in a fogged state, and after confirmation through the real-time image data, it is determined that the outside temperature data is less than the inside temperature data, and when it is determined that the current fogging space is inside the vehicle, the air conditioner is operated to heat the front window, thereby eliminating the fog on the front window. When the outside temperature data is greater than the inside temperature data, it is determined that the current fogging space is outside the vehicle, and the wiper is controlled to operate to remove the fog on the front window.

[0075] Embodiment three:

[0076] The present application also proposes a computer-readable storage medium, the computer-readable storage medium comprising:

[0077] The computer-readable storage medium stores computer-executable instructions.

[0078] When the computer executable instructions are executed by the control processor, the vehicle window defog method described in the first embodiment is implemented.

[0079] In the computer-readable storage medium, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk SolidState Disk (SSD)), etc.

[0080] Embodiment 4:

[0081] The present application also proposes a smart cockpit, in which a window defog system is provided. The window defog system uses the window defog method described in Example 1 to perform defog operations on the current fogging space.

[0082] In the smart cockpit, the clarity of the driving field of vision is ensured by the window defog system, and the fogging state of the front window is automatically monitored under different weather and environmental conditions, and the defog device is automatically controlled to perform defog when the front window is determined to be fogged. A window fogging recognition device and a window defog device are provided in the smart cockpit, and the fogging state of the front window is monitored in real time by the window fogging recognition device, and the temperature and humidity data of the vehicle environment are collected by the vehicle-mounted temperature and humidity sensor, and the real-time image data of the front window is collected by the vehicle-mounted camera. After the fogging state of the front window is preliminarily judged by the temperature and humidity data in the window fogging recognition device, it is further confirmed by the real-time image data, and the spatial position of the fogging of the front window is judged, and a control instruction is sent to the window defog device, and the window defog device is controlled to enter the working state to perform the defog operation.

[0083] In summary, the window defog method proposed in this application provides an effective solution for fogging judgment and automatic defog of the front window of the car in actual application. By collecting temperature and humidity data and real-time image data of the front window in real time for judgment, the fogging state of the front window of the car is monitored in real time. By confirming the fogging state based on the real-time image data, the accuracy and reliability of the fogging state recognition of the front window are improved. By obtaining the current fogging space and performing the defog operation, the automatic defog operation of the front window of the car is realized, which improves the driving experience and driving safety of the intelligent driving process.

[0084] In several embodiments provided in the present application, it is understood that each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved.

[0085] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for enabling an electronic device to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0086] The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the scope of protection of the present application. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A vehicle window defog method, characterized in that: include: Collect temperature and humidity data and real-time image data of the front window in real time; wherein the temperature and humidity data at least includes in-vehicle temperature data, in-vehicle humidity data and out-vehicle temperature data; Acquire a fogging temperature threshold according to the temperature and humidity data; The fogging state of the vehicle window is obtained according to the fogging temperature threshold, and when the vehicle window fogging state is a fogged state, the fogged state is confirmed based on the real-time image data; when confirming, the current fogging space is obtained according to the temperature and humidity data, and a defog operation is performed on the current fogging space.

2. The vehicle window defog method according to claim 1, characterized in that: The vehicle window fogging state includes at least a non-fogging state and a fogging state; The obtaining of the vehicle window fogging state according to the fogging temperature threshold comprises: The vehicle interior temperature data is compared with the fogging temperature threshold, and when the vehicle interior temperature data is less than the fogging temperature threshold, the current vehicle window fogging state is determined to be a fogged state; otherwise, the current vehicle window fogging state is determined to be a non-fogged state.

3. The vehicle window defog method according to claim 1, characterized in that: The confirming the fogged state based on the real-time image data includes: Build a fog detection model based on deep learning algorithm; The fogging detection model is trained by using historical image data of the front window under different working conditions collected in advance; The real-time image data is detected by using the trained fogging detection model to confirm the fogging state of the current vehicle window according to the detection result.

4. The vehicle window defog method according to claim 1, characterized in that: The obtaining the current fogging space according to the temperature and humidity data includes: The current fogging space includes at least the inside and outside of the vehicle; When it is confirmed that the current vehicle window is in a fogged state, a comparison is made based on the vehicle interior temperature data and the vehicle exterior temperature data, and if the vehicle exterior temperature data is lower than the vehicle interior temperature data, it is determined that the current fogging space is inside the vehicle; If the temperature data outside the vehicle is greater than the temperature data inside the vehicle, it is determined that the current fogging space is outside the vehicle.

5. The vehicle window defog method according to claim 4, characterized in that: The defogging operation on the current fogging space includes: If the current fogging space is inside a vehicle, a first defog operation is performed; wherein the first defog operation is performed at least by a heating device; If the current fogging space is outside the vehicle, a second defog operation is adopted; wherein the second defog operation performs a defog operation at least through a wiper device.

6. A system based on the vehicle window defog method according to claims 1-5, characterized in that: The system comprises: a data acquisition module, a threshold acquisition module, a fogging confirmation module and a defogging module; The data acquisition module is used to collect temperature and humidity data and real-time image data of the front window in real time; wherein the temperature and humidity data at least includes in-vehicle temperature data, in-vehicle humidity data and out-vehicle temperature data; The threshold acquisition module is used to acquire the fogging temperature threshold according to the temperature and humidity data; The fogging confirmation module is used to obtain the fogging state of the vehicle window according to the fogging temperature threshold, and when the fogging state of the vehicle window is the fogged state, confirm the fogged state based on the real-time image data; And, the defog module is used to obtain the current fogging space according to the temperature and humidity data, and perform a defog operation on the current fogging space.

7. The system of the vehicle window defog method according to claim 6, characterized in that: The defogging module further includes a fogging space acquisition module for acquiring a current fogging space according to the temperature and humidity data; The current fogging space includes at least the interior and exterior of the vehicle.

8. The system of the vehicle window defog method according to claim 7, characterized in that: The demisting module also includes an in-vehicle demisting module and an out-vehicle demisting module; The in-vehicle defog module is used to adopt a first defog operation when the current fogging space is in the vehicle; wherein the first defog operation is performed at least by a heating device; The vehicle exterior defogger module is used to perform a second defogger operation when the current fogging space is outside the vehicle; wherein the second defogger operation is performed at least by a wiper device.

9. A computer-readable storage medium storing computer-executable instructions, characterized in that: When the computer executable instructions are executed by the control processor, the vehicle window defog method as described in any one of claims 1-5 is implemented.

10. A smart cockpit, characterized in that: The smart cockpit is provided with a window defog system, and the window defog system uses the window defog method described in any one of claims 1 to 5 to perform defog operations on the current fogging space.

Images