CN114734771A - In-vehicle air quality guarantee method and system based on visual identification - Google Patents
In-vehicle air quality guarantee method and system based on visual identification Download PDFInfo
- Publication number
- CN114734771A CN114734771A CN202210231710.XA CN202210231710A CN114734771A CN 114734771 A CN114734771 A CN 114734771A CN 202210231710 A CN202210231710 A CN 202210231710A CN 114734771 A CN114734771 A CN 114734771A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- pollutant
- target
- area
- front road
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000000007 visual effect Effects 0.000 title claims abstract description 51
- 238000000034 method Methods 0.000 title claims abstract description 33
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 148
- 231100000719 pollutant Toxicity 0.000 claims abstract description 148
- 238000012545 processing Methods 0.000 claims description 26
- 238000013507 mapping Methods 0.000 claims description 15
- 239000000428 dust Substances 0.000 claims description 14
- 239000000779 smoke Substances 0.000 claims description 7
- 238000000275 quality assurance Methods 0.000 claims description 6
- SAZUGELZHZOXHB-UHFFFAOYSA-N acecarbromal Chemical compound CCC(Br)(CC)C(=O)NC(=O)NC(C)=O SAZUGELZHZOXHB-UHFFFAOYSA-N 0.000 claims 1
- 239000007789 gas Substances 0.000 description 8
- 230000004438 eyesight Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 238000001514 detection method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 239000000356 contaminant Substances 0.000 description 2
- 239000003517 fume Substances 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 1
- 238000003915 air pollution Methods 0.000 description 1
- 238000004887 air purification Methods 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 150000002500 ions Chemical class 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000004297 night vision Effects 0.000 description 1
- 238000000746 purification Methods 0.000 description 1
- 239000002893 slag Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
-
- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
- E05F15/00—Power-operated mechanisms for wings
- E05F15/70—Power-operated mechanisms for wings with automatic actuation
-
- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05Y—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES E05D AND E05F, RELATING TO CONSTRUCTION ELEMENTS, ELECTRIC CONTROL, POWER SUPPLY, POWER SIGNAL OR TRANSMISSION, USER INTERFACES, MOUNTING OR COUPLING, DETAILS, ACCESSORIES, AUXILIARY OPERATIONS NOT OTHERWISE PROVIDED FOR, APPLICATION THEREOF
- E05Y2900/00—Application of doors, windows, wings or fittings thereof
- E05Y2900/50—Application of doors, windows, wings or fittings thereof for vehicles
- E05Y2900/53—Type of wing
- E05Y2900/55—Windows
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
Landscapes
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Air-Conditioning For Vehicles (AREA)
Abstract
The application discloses a method and a system for guaranteeing the quality of air in a vehicle based on visual identification, wherein the method comprises the following steps: judging whether a pollutant area caused by a target exists on a front road in real time in a visual identification mode; when a pollutant area exists, determining whether the self vehicle is influenced by the pollutant area; and when determining that the vehicle can be influenced by the pollutant area, carrying out pollutant avoidance in advance to realize that the pollutant area is identified before the vehicle enters the pollutant area caused by the target, and carrying out pollutant avoidance in advance to ensure that the air in the vehicle is not influenced by the pollutants and maintain the quality of the air in the vehicle.
Description
Technical Field
The application relates to the technical field of image recognition, in particular to a method and a system for guaranteeing the quality of air in a vehicle based on visual recognition.
Background
Large work vehicles on roads, such as large trucks, engineering vehicles and van trucks, are prone to dust raising, tail gas pollution, slag falling and the like. These problems are likely to affect other vehicles on the road. When the vehicle runs in such a polluted environment without closing the window or opening the air external circulation of the vehicle in time, pollutants easily enter the interior of the vehicle, causing air deterioration in the interior of the vehicle. Because the working vehicles on the road are numerous and have small pollution range, whether the vehicles are about to enter the pollution areas such as dust raising and tail gas is judged manually, then the windows are manually closed or the air circulation modes of the vehicles are adjusted, so that the operation is complicated, particularly, the operation is repeatedly carried out on the areas with active urban construction, the driver is distracted when driving, and the driving safety is influenced.
In the prior art, the air quality of a vehicle can be guaranteed through air detection, one is to detect the air in the vehicle, if PM2.5 exceeds the standard, an air purifier in the vehicle is started, and the air is purified through a filter screen or ions; the other is to detect the quality of air inside and outside the vehicle and determine the circulation and purification measures inside and outside the vehicle according to carbon dioxide and pollutants. However, the existing air detection technology can only take measures to reduce pollution after the vehicle enters the polluted environment, but still causes drivers and passengers to inhale more dust and pollutants because the vehicle enters the polluted environment at the moment, and influences the body health of drivers and passengers in the vehicle.
Disclosure of Invention
The application mainly aims to provide an in-vehicle air quality guarantee method and system based on visual identification, and aims to solve the technical problem that the vehicle can be controlled to take measures for avoiding in-vehicle air pollution after entering a pollutant area.
In a first aspect, the present application provides a method for guaranteeing quality of air in a vehicle based on visual recognition, the method including the steps of:
judging whether a pollutant area caused by a target exists on a front road in real time in a visual identification mode;
when a pollutant area exists, determining whether the self vehicle is influenced by the pollutant area;
when it is determined that the own vehicle is affected by a pollutant zone, pollutant avoidance is performed in advance.
In some embodiments, the determining whether there is a pollutant area caused by the target on the road ahead in real time by means of visual recognition includes:
acquiring a front road image of the vehicle;
determining whether the target exists in the front road image;
when the object exists in the front road image, determining whether a pollutant area caused by the object exists according to the edge, texture and/or gray scale information of the mapping area of the object in the front road image.
In some embodiments, the determining whether there is a pollutant area caused by the object according to edge, texture and/or grayscale information of a mapping area of the object in the front road image when the object exists in the front road image includes:
putting the edge, texture and/or gray scale information of the mapping area into a preset pollutant area image information database for comparison, and determining whether a pollutant area caused by the target exists in the front road image or not according to a comparison result;
and comparing the gray information of the front road image acquired this time with the gray information of the front road image acquired last time, and comparing the area of the low-frequency part in the image to determine whether a pollutant area caused by the target exists.
In some embodiments, the determining whether the own vehicle is affected by the pollutant zone when the pollutant zone exists includes:
when a pollutant area exists, determining whether the own vehicle and the target are on the same path according to the relative position of the target and the own vehicle and the map path of the own vehicle;
when the self vehicle and the target are determined to be on the same path, determining the meeting time of the self vehicle and the target according to the speed of the self vehicle, the speed of the target and the relative distance;
and if the meeting time is less than the preset time, determining that the vehicle is influenced by a pollutant area.
In some embodiments, the performing of pollutant avoidance in advance when it is determined that the own vehicle is influenced by a pollutant zone includes:
when the influence of a pollutant area on the self-vehicle is determined, the windows of the self-vehicle are controlled to be closed in advance, the purifier is controlled to be opened, and the air conditioner is controlled to be opened for internal circulation when the air conditioner is opened.
In some embodiments, after the performing of the pollutant avoidance, the method further comprises:
judging whether a pollutant area caused by a target still exists on a front road in real time in a visual identification mode;
and if no pollutant area exists on the road ahead within a continuous period of time, controlling the windows of the vehicle, the air purifier and the air conditioner to be adjusted to a state before avoiding the pollutants.
In some embodiments, the target vehicle comprises a vehicle that can cause fugitive dust and exhaust fumes.
In a second aspect, the present application further provides an in-vehicle air quality assurance system based on visual recognition, the system including:
the image processing unit is used for judging whether a pollutant area caused by a target exists on the front road in real time in a visual identification mode according to the front road image;
a vehicle control unit for determining whether or not an own vehicle is affected by a pollutant zone when the pollutant zone is present, and performing pollutant avoidance in advance when it is determined that the own vehicle is affected by the pollutant zone.
In some embodiments, the system for guaranteeing air quality in a vehicle based on visual recognition further comprises: a visual recognition sensor for acquiring a road image ahead of the own vehicle;
the image processing unit is used for determining whether the target exists in the front road image, and when the target exists in the front road image, determining whether a pollutant area caused by the target exists according to the edge, texture and/or gray scale information of a mapping area of the target in the front road image.
In some embodiments, the image processing unit is further configured to:
putting the edge, texture and/or gray scale information of the mapping area into a preset pollutant area image information database for comparison, and determining whether a pollutant area caused by the target exists in the front road image or not according to a comparison result;
and comparing the gray information of the front road image acquired this time with the gray information of the front road image acquired last time, and comparing the area of the low-frequency part in the image to determine whether a pollutant area caused by the target exists.
In some embodiments, the vehicle control unit is further configured to: when a pollutant area exists, determining whether the own vehicle and the target are on the same path according to the relative position of the target and the own vehicle and the map path of the own vehicle;
when the self vehicle and the target are determined to be on the same path, determining the meeting time of the self vehicle and the target according to the speed of the self vehicle, the speed of the target and the relative distance;
and if the meeting time is less than the preset time, determining that the self vehicle is influenced by the pollutant area.
In some embodiments, the vehicle control unit is further configured to: when the fact that the self-vehicle is influenced by the pollutant area is determined, the window of the self-vehicle is controlled to be closed, the purifier is controlled to be opened in advance, and the air conditioner is controlled to be opened to circulate when the air conditioner is opened.
In some embodiments, the image processing unit is further configured to: judging whether a pollutant area caused by a target still exists on a road ahead in real time in a visual identification mode;
and if no pollutant area exists on the road ahead within a continuous period of time, controlling the windows of the vehicle, the air purifier and the air conditioner to be adjusted to a state before avoiding the pollutants.
In some embodiments, the objects identified by the image processing unit include: can cause dust emission and exhaust smoke.
The application provides an in-vehicle air quality guarantee method and system based on visual identification, which judges whether a pollutant area caused by a target exists on a front road in real time in a visual identification mode; when a pollutant area exists, determining whether the self vehicle is influenced by the pollutant area; and when determining that the vehicle can be influenced by the pollutant area, carrying out pollutant avoidance in advance to realize that the pollutant area is identified before the vehicle enters the pollutant area caused by the target, and carrying out pollutant avoidance in advance to ensure that the air in the vehicle is not influenced by the pollutants and maintain the quality of the air in the vehicle.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flow chart of an in-vehicle air quality assurance method based on visual identification according to an embodiment of the present application;
FIG. 2 is a schematic block diagram of an in-vehicle air quality assurance system based on visual identification according to an embodiment of the present application;
the implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The flow diagrams depicted in the figures are merely illustrative and do not necessarily include all of the elements and operations/steps, nor do they necessarily have to be performed in the order depicted. For example, some operations/steps may be decomposed, combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The embodiment of the application provides a method and a system for guaranteeing the quality of air in a vehicle based on visual identification. The method for guaranteeing the quality of the air in the vehicle based on the visual recognition is applied to a system for guaranteeing the quality of the air in the vehicle based on the visual recognition, and the system can be arranged in the vehicle.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for guaranteeing air quality in a vehicle based on visual identification according to an embodiment of the present disclosure.
As shown in fig. 1, the method includes steps S1 through S3.
And step S1, judging whether a pollutant area caused by the target exists on the road ahead in real time in a visual identification mode.
Characteristically, when the determination is made by visual recognition, an image of the road ahead of the vehicle is mainly acquired by a visual sensor. The visual sensor can be a camera which is independently arranged, can be arranged at the position of a windshield of a vehicle, can also be shared with a camera of a vehicle data recorder or a camera in an intelligent vehicle driving system, and can shoot the scene in front of the head of the vehicle at the angle. The vision sensor should have a night vision function and also be able to take a clear image at night. And the image taken by the camera may be a picture image or a video image.
Furthermore, after the vision sensor shoots the image in front of the road in front of the vehicle, the image in front of the road is transmitted to the image processing unit for image processing. The image processing unit first identifies whether objects are present in the image, including vehicles that may cause fugitive dust and exhaust fumes. The specific vehicle type can be determined according to actual conditions, including but not limited to large trucks, construction vehicles, van trucks and the like, and other vehicles causing dust emission and tail gas pollution can be used as targets. The recognition of the target may be performed by machine learning or neural network training of the image processing unit during its development and manufacture, with the image processing unit being used to identify the capability of the target. The identification method for the target vehicle is more and relatively mature, and is not repeated herein.
Further, when the image processing unit identifies that the target exists in the front road image, whether a pollutant area caused by the target exists is determined through the edge, the stripe and/or the gray scale information of the mapping area of the target in the front road image.
Specifically, when identifying the pollutant area, the image processing unit can also obtain the identification capability of the dust emission area or the tail gas smoke area by performing machine learning or neural network training on the image processing unit when the image processing unit is developed and manufactured. And establishing a pollutant area image information database which comprises image information such as texture information gray scale information of a pollutant area image, after determining that a target vehicle exists in the road front image, putting edge information, texture information and/or gray scale information of a target vehicle mapping area into the database for comparison, and determining whether a pollutant area exists in the road front image in which the target appears, thereby determining whether the pollutant area exists in front of the vehicle. The image smoke identification method is more and relatively mature and specific, and specific steps are not described again.
In one embodiment, when determining whether the pollutant area exists on the front road through the front road image, the existence of the pollutant area caused by the target vehicle may be determined by comparing the gray scale information of the front road image obtained this time with the gray scale information of the front road image obtained last time, and comparing the area of the low-frequency part in the image. It is understood that the image gradation data of the pollutant area is different from the gradation data of the pollutant area, and thus the judgment can be made by the gradation. The area of the low-frequency area is compared because the area of the pollutant is dust or tail gas smoke, the pollutant area has diffusion property, and when the area of the front road image obtained at this time is larger than the area of the low-frequency area of the front road image obtained at the last time, the area of the pollutant appearing in the front is determined.
It should be noted that, in this embodiment, on the premise of identifying the target, whether there is a pollutant area is determined according to the mapping area of the target in the road image ahead, rather than directly identifying the pollutant area is because the direct identification of the image may falsely identify heavy fog snow and rain as pollutants in extreme weather such as heavy fog, snow or rain. And after the target vehicle is identified, pollutant areas such as dust emission tail gas and the like are identified, the target vehicle is determined to be in, the accuracy of pollutant area identification is facilitated, and the misjudgment probability is reduced.
Step S2, when there is a contaminant region, determines whether the own vehicle is affected by the contaminant region.
In some embodiments, when the pollutant zone exists, whether the own vehicle and the target are on the same path is determined according to the relative position of the target vehicle and the own vehicle and the map path of the own vehicle.
Specifically, the relative position of the target vehicle and the own vehicle includes a relative position of the target vehicle and the own vehicle in the left-right direction, and a distance between the target vehicle and the own vehicle. The determination of the relative position thereof may be made based on the mounting position of the visual recognition sensor and the mapped position of the target vehicle in the image and the size (dimension) of the target vehicle in the image. And after the relative position of the target vehicle is determined, whether the vehicle and the target vehicle can run on the same path or not is determined according to the map navigation path of the vehicle.
Further, when it is determined that the own vehicle and the target vehicle travel on the same path, the meeting time of the own vehicle and the target is determined according to the speed of the own vehicle, the speed of the target vehicle and the relative distance between the two vehicles. The meeting time is relative distance/(vehicle speed-target vehicle speed). If the obtained meeting time is greater than the preset time, the vehicle does not need to be adjusted, and if the meeting time is less than the preset time, the vehicle is determined to enter the pollutant area. The preset time can be calibrated according to experience, and is calibrated according to the time for dissipating the flying dust and the tail gas smoke, which is set to 15 seconds in the embodiment.
And step S3, when the vehicle is determined to be influenced by the pollutant area, avoiding the pollutant in advance.
Specifically, carry out the pollutant in advance and avoid including, the door window of control self vehicle is whole to be closed, and air purifier is opened to the vehicle that is equipped with air purifier to open the air conditioner and adjust self vehicle's air conditioner state to the inner loop state, take above measures and can effectually prevent raise dust and tail gas smog that the target vehicle caused and get into in the car, thereby guarantee the clean and fresh of air in the car, and open air purifier and can guarantee to close the air quality in the car when door window.
In a preferred embodiment, the current window state, air conditioning state and air purification state of the vehicle are saved before the vehicle is controlled to avoid pollutants. After the vehicle is controlled to avoid pollutants, whether a pollutant area caused by the target still exists on the front road is continuously judged in a visual identification mode, and if the pollutant area exists, the vehicle is controlled to still keep the current pollutant avoiding state. If no pollutant area exists on the road ahead within a continuous period of time, the windows of the vehicle are controlled, and the air purifier and the air conditioner are adjusted to a state before pollutant avoidance is carried out, so that the original control intentions of drivers and passengers in the vehicle on devices such as window air conditioners and the like are maintained. In this embodiment, if it is determined that there is no pollutant area on the road ahead for one continuous minute, the vehicle window, the air purifier, and the air conditioner are adjusted to a state before pollutant avoidance is performed.
In some embodiments, in addition to the visual recognition sensor and the image processing unit being disposed on the vehicle, the visual recognition sensor and the image processing unit may be disposed at a road detection end, and may be shared with monitoring equipment on a road, such as a violation camera, a speed measurement camera, etc. on the road. The pollutant zone is then sent in advance by the internet of vehicles system V2X to the control unit of the vehicle passing through the zone, enabling the vehicle in the zone, which may be affected by the pollutant zone, to avoid the pollutant zone.
The method for guaranteeing the quality of the air in the vehicle based on the visual identification, which is provided by the embodiment of the application, is a judgment method based on the visual identification, and is used for quickly identifying and judging the risk of the vehicle entering a temporary road pollution area. And after the risk of entering a pollutant area is confirmed, equipment such as vehicle air conditioner operation, a purifier, a vehicle window and the like is quickly controlled in advance, so that pollutants are prevented from entering the vehicle. The air quality in the vehicle is flexibly maintained, repeated operation of a driver is not needed, and the driving safety is improved while the air quality in the vehicle is maintained.
Referring to fig. 2, fig. 2 is a schematic block diagram of an in-vehicle air quality assurance system based on visual recognition according to an embodiment of the present application.
As shown in fig. 2, the system includes: the vision recognition sensor, the image processing unit and the vehicle control unit.
Characteristically, the vision recognition sensor is used for shooting a front road image; the image processing unit is used for receiving a front road image shot by the vision sensor, identifying the front road image, identifying whether a target and a pollutant area caused by the target exist in the image, and transmitting an identification result to the vehicle control unit. The vehicle control unit is used for determining that a pollutant area caused by a target exists in the recognition result, judging whether the vehicle is influenced by the pollutant area according to the relative position of the vehicle and the target vehicle, the vehicle speed of the vehicle and the speed of the target vehicle, and controlling the vehicle condition control unit, the air conditioner control unit and the purifier control unit of the vehicle to take corresponding measures to avoid the pollutant when the vehicle is determined to be influenced by the pollutant.
Each unit in the system performs the following functions.
The image processing unit is used for judging whether a pollutant area caused by a target exists on the front road in real time in a visual identification mode according to the front road image;
a vehicle control unit for determining whether or not an own vehicle is affected by a pollutant zone when the pollutant zone is present, and performing pollutant avoidance in advance when it is determined that the own vehicle is affected by the pollutant zone.
In some embodiments, the vision recognition sensor is configured to acquire an image of a road ahead of the own vehicle;
the image processing unit is used for determining whether the target exists in the front road image, and when the target exists in the front road image, determining whether a pollutant area caused by the target exists according to the edge, texture and/or gray scale information of a mapping area of the target in the front road image.
In some embodiments, the image processing unit is further configured to:
putting the edge, texture and/or gray scale information of the mapping area into a preset pollutant area image information database for comparison, and determining whether a pollutant area caused by the target exists in the front road image or not according to a comparison result;
and comparing the gray information of the front road image acquired this time with the gray information of the front road image acquired last time, and comparing the area of the low-frequency part in the image to determine whether a pollutant area caused by the target exists.
In some embodiments, the vehicle control unit is further configured to: when a pollutant area exists, determining whether the own vehicle and the target are on the same path according to the relative position of the target and the own vehicle and the map path of the own vehicle;
when the self vehicle and the target are determined to be on the same path, determining the meeting time of the self vehicle and the target according to the speed of the self vehicle, the speed of the target and the relative distance;
and if the meeting time is less than the preset time, determining that the self vehicle is influenced by the pollutant area.
In some embodiments, the vehicle control unit is further configured to: when the fact that the self-vehicle is influenced by the pollutant area is determined, the window of the self-vehicle is controlled to be closed, the purifier is controlled to be opened in advance, and the air conditioner is controlled to be opened to circulate when the air conditioner is opened.
In some embodiments, the image processing unit is further configured to: judging whether a pollutant area caused by a target still exists on a front road in real time in a visual identification mode;
and if no pollutant area exists on the road in front in a continuous period of time, controlling the windows of the vehicle, the air purifier and the air conditioner to be adjusted to a state before avoiding the pollutants.
In some embodiments, the objects identified by the image processing unit include: can cause dust emission and exhaust smoke.
It should be noted that, as will be clear to those skilled in the art, for convenience and brevity of description, the specific working processes of the system and the modules and units described above may refer to the corresponding processes in the foregoing embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments. While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for guaranteeing the quality of air in a vehicle based on visual recognition is characterized by comprising the following steps:
judging whether a pollutant area caused by a target exists on a front road in real time in a visual identification mode;
when a pollutant area exists, determining whether the self vehicle is influenced by the pollutant area;
when it is determined that the own vehicle is affected by a pollutant zone, pollutant avoidance is performed in advance.
2. The method for guaranteeing air quality in a vehicle based on visual recognition of claim 1, wherein the real-time determination of whether the pollutant area caused by the target exists on the road ahead by means of visual recognition comprises:
acquiring a front road image of the vehicle;
determining whether the target is present in the front road image;
when the target exists in the front road image, whether a pollutant area caused by the target exists is determined according to the edge, texture and/or gray scale information of the mapping area of the target in the front road image.
3. The method for guaranteeing air quality in a vehicle based on visual recognition according to claim 2, wherein when the target exists in the front road image, determining whether there is a pollutant area caused by the target according to edge, texture and/or gray information of a mapping area of the target in the front road image comprises:
putting the edge, texture and/or gray scale information of the mapping area into a preset pollutant area image information database for comparison, and determining whether a pollutant area caused by the target exists in the front road image or not according to a comparison result;
and comparing the gray information of the front road image acquired this time with the gray information of the front road image acquired last time, and comparing the area of the low-frequency part in the image to determine whether a pollutant area caused by the target exists.
4. The method for guaranteeing air quality in a vehicle based on visual recognition of claim 1, wherein the determining whether the own vehicle is affected by the pollutant zone when the pollutant zone exists comprises:
when a pollutant area exists, determining whether the own vehicle and the target are on the same path according to the relative position of the target and the own vehicle and the map path of the own vehicle;
when the self vehicle and the target are determined to be on the same path, determining the meeting time of the self vehicle and the target according to the speed of the self vehicle, the speed of the target and the relative distance;
and if the meeting time is less than the preset time, determining that the vehicle is influenced by a pollutant area.
5. The method for guaranteeing air quality in a vehicle based on visual recognition according to claim 1, wherein the performing of the pollutant avoidance in advance when it is determined that the own vehicle is influenced by the pollutant zone includes:
when the fact that the self-vehicle is influenced by the pollutant area is determined, the window of the self-vehicle is controlled to be closed, the purifier is controlled to be opened in advance, and the air conditioner is controlled to be opened to circulate when the air conditioner is opened.
6. The method for guaranteeing air quality in a vehicle based on visual recognition of claim 1, further comprising, after performing pollutant avoidance:
judging whether a pollutant area caused by a target still exists on a road ahead in real time in a visual identification mode;
and if no pollutant area exists on the road ahead within a continuous period of time, controlling the windows of the vehicle, the air purifier and the air conditioner to be adjusted to a state before avoiding the pollutants.
7. The method for guaranteeing air quality in a vehicle based on visual recognition of claim 1, wherein the target vehicle includes a vehicle causing dust emission and exhaust smoke.
8. The utility model provides an air quality assurance system in car based on visual identification which characterized in that includes:
the image processing unit is used for judging whether a pollutant area caused by a target exists on the front road in real time in a visual recognition mode according to the front road image;
a vehicle control unit for determining whether or not an own vehicle is affected by a pollutant zone when the pollutant zone is present, and performing pollutant avoidance in advance when it is determined that the own vehicle is affected by the pollutant zone.
9. The system for guaranteeing air quality in a vehicle based on visual recognition of claim 8, further comprising:
a visual recognition sensor for acquiring a road image ahead of the own vehicle;
the image processing unit is used for determining whether the target exists in the front road image, and when the target exists in the front road image, determining whether a pollutant area caused by the target exists according to the edge, texture and/or gray scale information of a mapping area of the target in the front road image.
10. The in-vehicle air quality assurance system based on visual recognition of claim 9, wherein the image processing unit is further configured to:
putting the edge, texture and/or gray scale information of the mapping area into a preset pollutant area image information database for comparison, and determining whether a pollutant area caused by the target exists in the front road image or not according to a comparison result;
and comparing the gray information of the front road image acquired this time with the gray information of the front road image acquired last time, and comparing the area of the low-frequency part in the image to determine whether a pollutant area caused by the target exists.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210231710.XA CN114734771A (en) | 2022-03-10 | 2022-03-10 | In-vehicle air quality guarantee method and system based on visual identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210231710.XA CN114734771A (en) | 2022-03-10 | 2022-03-10 | In-vehicle air quality guarantee method and system based on visual identification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114734771A true CN114734771A (en) | 2022-07-12 |
Family
ID=82275504
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210231710.XA Pending CN114734771A (en) | 2022-03-10 | 2022-03-10 | In-vehicle air quality guarantee method and system based on visual identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114734771A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115416601A (en) * | 2022-09-30 | 2022-12-02 | 重庆长安汽车股份有限公司 | Vehicle control method and device, vehicle and storage medium |
| US20230280173A1 (en) * | 2022-03-07 | 2023-09-07 | Saudi Arabian Oil Company | Method, apparatus, and system for identifying one or more sources of air pollutants based on emission data from vehicles and air quality data from ambient air measurement apparatuses |
| CN117067859A (en) * | 2023-10-17 | 2023-11-17 | 深圳市蓝鲸智联科技股份有限公司 | In-vehicle environment adjusting method based on vision |
-
2022
- 2022-03-10 CN CN202210231710.XA patent/CN114734771A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20230280173A1 (en) * | 2022-03-07 | 2023-09-07 | Saudi Arabian Oil Company | Method, apparatus, and system for identifying one or more sources of air pollutants based on emission data from vehicles and air quality data from ambient air measurement apparatuses |
| US11859991B2 (en) * | 2022-03-07 | 2024-01-02 | Saudi Arabian Oil Company | Method, apparatus, and system for identifying one or more sources of air pollutants based on emission data from vehicles and air quality data from ambient air measurement apparatuses |
| CN115416601A (en) * | 2022-09-30 | 2022-12-02 | 重庆长安汽车股份有限公司 | Vehicle control method and device, vehicle and storage medium |
| CN117067859A (en) * | 2023-10-17 | 2023-11-17 | 深圳市蓝鲸智联科技股份有限公司 | In-vehicle environment adjusting method based on vision |
| CN117067859B (en) * | 2023-10-17 | 2024-01-16 | 深圳市蓝鲸智联科技股份有限公司 | In-vehicle environment adjusting method based on vision |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114734771A (en) | In-vehicle air quality guarantee method and system based on visual identification | |
| US10232680B2 (en) | Air circulation control device for vehicle | |
| CN105799574B (en) | Night intelligence DAS (Driver Assistant System) | |
| DE102020127043A1 (en) | SECURITY SYSTEM FOR ONE VEHICLE | |
| US10671071B2 (en) | Control method and control device of automatic driving vehicle | |
| CN113223311A (en) | Vehicle door opening anti-collision early warning method based on V2X | |
| DE102011055684B4 (en) | Method for operating a ventilation device of a vehicle | |
| WO2021164463A1 (en) | Detection method and apparatus, storage medium | |
| CN105579289B (en) | Imaging system and method with displacement detection | |
| CN110837800A (en) | Port severe weather-oriented target detection and identification method | |
| EP3632723B1 (en) | Vehicular irritant detection and mitigation system | |
| US20180334013A1 (en) | Vehicle hvac system with odor control | |
| TWI749030B (en) | Driving assistance system and driving assistance method | |
| JP2008028957A (en) | Image processing apparatus for vehicle | |
| CN106600748A (en) | Illegal driving recording method and illegal driving recording apparatus | |
| CN110053616B (en) | Vehicle driving assistance system and method | |
| CN111231833A (en) | Automobile auxiliary driving system based on combination of holographic projection and AR | |
| CN111152623A (en) | Vehicle-mounted air conditioner control method, vehicle-mounted air conditioner control system and device | |
| CN115416601A (en) | Vehicle control method and device, vehicle and storage medium | |
| CN114954307A (en) | Driving assistance system based on artificial intelligence | |
| JP2000198369A (en) | Eye state detecting device and doze-driving alarm device | |
| Li et al. | A low-cost and fast vehicle detection algorithm with a monocular camera for adaptive driving beam systems | |
| CN113119687B (en) | Automatic control method for working modes of air and air conditioner in automobile | |
| CN113264042B (en) | Hidden danger situation warning | |
| US11052822B2 (en) | Vehicle control apparatus, control method, and storage medium for storing program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |