CN117901756B - Vehicle lighting lamp control system - Google Patents
Vehicle lighting lamp control system Download PDFInfo
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- 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
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention relates to the technical field of vehicle lighting lamp control, and particularly discloses a vehicle lighting lamp control system, which comprises: the system comprises a road environment information acquisition module, a high beam and low beam automatic switching module, a vehicle steering information acquisition module, a steering lamp automatic switching module, a fog lamp automatic switching module and a cloud database; according to the invention, the high beam and low beam lamps, the steering lamps and the front fog lamps of the running vehicle are respectively automatically switched and analyzed by combining the road environment information, the vehicle steering information and the fog weather information, so that the running vehicle can be switched to the low beam lamps in time when the opposite vehicle approaches to avoid discomfort or danger to other drivers, meanwhile, the condition that other drivers have enough time to adjust the speed and the following distance is ensured, the possibility of rear-end collision accident of the vehicle is reduced, the visual field definition of the running vehicle is ensured, and the driving safety of the running vehicle is improved.
Description
Technical Field
The invention relates to the technical field of vehicle lighting lamp control, in particular to a vehicle lighting lamp control system.
Background
With the continuous development of science and technology, vehicle lighting lamp control needs to have higher intelligent and autonomous level to provide better user experience and driving safety, and current vehicle lighting lamp control mostly adopts manual control mode, can't satisfy the ever-increasing user demand, therefore, in order to satisfy user's demand, need carry out automatic control to the vehicle lighting lamp.
The existing automatic control mode for the vehicle lighting lamp has the following problems: 1. the light adjustment monitoring areas of the roads are not specifically set according to the width of each road section, and meanwhile, the automatic switching of the high-low beam light is not deeply analyzed by combining the light intensity, the visibility and the relative distance of the opposite moving vehicles, so that a driver cannot be helped to recognize obstacles on the roads and the opposite moving vehicles earlier, meanwhile, the situation that the running vehicles can be switched to the dipped beam light in time when the opposite vehicles approach is avoided, discomfort or danger to other drivers are avoided, and good running environments cannot be built.
2. The current navigation only prompts the distance between the current position and the next steering intersection, a driver judges when to turn on the steering lamp according to the distance, and the automatic turn-on time point of the steering lamp is deeply analyzed without combining the predicted time point of the running vehicle reaching the next steering intersection and the traffic congestion condition, so that the turn-on result of the steering lamp has the defects of low accuracy, poor rationality and the like, other drivers cannot be ensured to have enough time to notice the steering signal, other drivers cannot be ensured to have enough time to adjust the speed and the following distance, and the possibility of the occurrence of the rear-end collision accident of the vehicle is improved.
3. When the front fog lamp of the vehicle is started in the foggy weather, the starting intensity of the front fog lamp is not subjected to deep analysis, and meanwhile, the influence of the dirt condition of the front fog lamp shade on the starting intensity is not subjected to deep analysis, so that the visual field definition of a driver in the foggy weather cannot be guaranteed, the timeliness of the driver in finding obstacles in a road is reduced to a certain extent, and the driving safety of the driver in the foggy weather is reduced.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art described above, a vehicle illumination lamp control system is now proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides a vehicle lighting lamp control system, comprising: the road environment information acquisition module is used for extracting a target road from driving navigation of a target driving vehicle, dividing the target road into road sections according to a set length, acquiring light intensity and visibility of each road section, extracting width of each road section, setting a light adjustment monitoring area of the target driving vehicle in each road section, and acquiring relative distances between each opposite moving vehicle and the target driving vehicle which drive to the target driving vehicle in the light adjustment monitoring area of each road section.
And the high-low beam lamp automatic switching module is used for automatically switching the high-low beam lamp of the target running vehicle when the target running vehicle runs on each road section.
The vehicle steering information acquisition module is used for extracting a current time point, extracting the distance between the current speed and the current position of the target running vehicle and the position of the next steering intersection and the steering direction of the next steering intersection, recording a road section between the current position of the target running vehicle and the position of the next steering intersection as a monitoring road section, and acquiring the vehicle information of the monitoring road section, wherein the steering direction comprises left steering and right steering.
And the automatic steering lamp switching module is used for automatically switching the steering lamp of the target running vehicle at the next steering intersection.
The fog lamp automatic switching module is used for extracting the surface area of a front fog lamp shade of a target running vehicle, collecting the number of dirt positions of the front fog lamp shade and the corresponding dirt areas of the dirt positions, and collecting the corresponding external environment visibility and fog concentration of the target running vehicle when running in foggy weather, so that the front fog lamp of the target running vehicle is automatically switched.
The cloud database is used for storing the effective irradiation distance of the vehicle light and the glare distance of the high beam, storing the compensation driving time length corresponding to the congestion degree of the unit vehicle, the reference accommodating vehicle number and the warning steering time length of the monitored road section, and storing the front fog lamp starting intensity corresponding to the front fog lamp starting requirement indexes and the compensation front fog lamp intensity corresponding to the unit dirt degree.
Specifically, the light adjustment monitoring area of the target running vehicle on each road section is set, and the specific setting process is as follows: a1, locating a center point of the target running vehicle, and taking the center point as an origin as a center line of the target running vehicle.
A2, extracting effective illumination distance of vehicle lamplight from the cloud database and marking as。
A3, recording the width of each road section asWherein/>Number representing road section,/>。
A4, distance to left of center line of target running vehicleIs used as the left monitoring boundary line of each road section to target the right distance/>, of the center line of the running vehicleIs used as the right monitoring boundary line of each road section, and the distance/>And obtaining a monitoring rectangular area of each road section as a front end monitoring boundary line of each road section, and taking the monitoring rectangular area as a light adjustment monitoring area of the target running vehicle on each road section, wherein the cab direction of the target running vehicle is taken as the left direction, the copilot direction is taken as the right direction, and the running direction is taken as the front end direction.
Specifically, the automatic switching of the high beam and low beam lamps of the target running vehicle when running on each road section is performed, and the specific switching process is as follows: b1, respectively marking the light intensity and the visibility of each road section asAnd/>。
B2, if the target running vehicle does not have the opposite moving vehicles in the lamplight adjustment monitoring areas of the road sections, calculating a high beam switching evaluation index of the target running vehicle in the road sections，/>Wherein/>And/>Respectively representing the light intensity and visibility of the set reference,/>And/>And respectively representing the set high beam switching evaluation duty ratio weight corresponding to the light intensity and the visibility.
And B3, when the high beam switching evaluation index of the target running vehicle on each road section is greater than or equal to the high beam switching evaluation index of the set reference, switching the target running vehicle into the high beam, otherwise, switching the target running vehicle into the low beam.
B4, if the target running vehicle has opposite running vehicles in the light adjustment monitoring area of each road section, calculating a dipped headlight switching evaluation index of the target running vehicle in each road section according to the relative distance between each opposite running vehicle and the target running vehicle in the light adjustment monitoring area of each road section when the target running vehicle is running to the target running vehicle。
And B5, when the low beam switching evaluation index of the target running vehicle on each road section is greater than or equal to the set reference low beam switching evaluation index, switching the target running vehicle into a low beam, otherwise, switching the target running vehicle into a high beam.
Specifically, the calculating the dipped headlight switching evaluation index of the target running vehicle on each road section comprises the following specific calculating processes: c1, extracting the minimum value from the relative distance between each opposite moving vehicle and the target running vehicle in the light adjustment monitoring area of each road section from the running to the target running vehicle, and recording as。
C2, extracting the glare distance of the high beam from the cloud database and recording as。
C3, calculating the dipped headlight switching evaluation index of the target running vehicle on each road section，Wherein/>The distance deviation of the set reference is shown.
Specifically, the vehicle information includes the number of vehicles at the current time point corresponding to the current monitoring day and the number of vehicles at the current time point corresponding to each monitoring day.
Specifically, the automatic switching of the turn signal lamp of the target running vehicle at the next turn intersection comprises the following specific switching process: d1, respectively recording the current speed and the distance between the current position and the position of the next turning intersection of the target running vehicle asAnd/>。
D2, extracting the number of vehicles of the monitoring road section corresponding to the current time point on the current monitoring day and the number of vehicles of the monitoring road section corresponding to the current time point on each historical monitoring day from the vehicle information, and calculating the vehicle crowding degree corresponding to the monitoring road section。
D3, extracting the compensation driving time length corresponding to the congestion degree of the unit vehicle from the cloud database, and recording as。
D4, calculating the expected driving time of the target driving vehicle reaching the next steering intersection，。
D5, extracting warning steering time from the cloud database and recording as。
D6, obtaining an expected arrival time point corresponding to the arrival of the target traveling vehicle at the next turning intersection according to the current time point and the expected traveling time length, and if the turning direction of the next turning intersection is left turning, obtaining the target traveling vehicle before the expected arrival time pointWhen the time point is reached, the left steering lamp is automatically turned on, and if the steering direction of the next steering intersection is right steering, the left steering lamp is turned on before the predicted arrival time point/>And at the time point, automatically starting the right turn lamp.
Specifically, the calculating and monitoring the vehicle congestion degree corresponding to the road section includes the following specific calculating processes: and E1, integrating the number of vehicles of the monitoring road section at the current time point corresponding to the current monitoring day and the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day of the history to obtain the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day.
E2, comparing the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day with the reference accommodating vehicle number of the monitoring road section stored in the cloud database, if the number of vehicles of the monitoring road section at the current time point corresponding to a certain monitoring day is greater than or equal to the reference accommodating vehicle number of the monitoring road section, recording the monitoring day as a crowding day, counting the crowding day number of the monitoring road section, and recording as。
E3, extracting the maximum value from the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day, and recording as。
E4, calculating the vehicle crowding degree corresponding to the monitored road section，/>Wherein/>And/>Indicates the number of congestion days and the number of vehicles for which reference is set, respectively,/>And/>The set number of congestion days and the set number of vehicles corresponding to the vehicle congestion degree evaluation duty are respectively indicated.
Specifically, the automatic switching of the front fog lamp of the target running vehicle is performed by the following specific switching process: f1, respectively marking the surface area of a front fog lamp shade of the target running vehicle, the number of dirt positions of the front fog lamp shade and the corresponding dirt areas of the dirt positions as、/>And/>Wherein/>Number indicating fouling position,/>。
F2, calculating the dirt degree of a front fog lamp shade of the target running vehicle，/>Wherein/>And/>Respectively represent the number of dirt positions and the dirt area ratio of the set reference,/>And/>Respectively representing the set number of dirt positions and the dirt area ratio and corresponding dirt degree evaluation duty ratio weight,/>, respectivelyRepresenting natural constants.
F3, respectively recording the visibility of the external environment and the fog concentration corresponding to the running of the target running vehicle in the foggy weather asAnd/>。
F4, calculating a front fog lamp turn-on demand index corresponding to the target running vehicle running in the foggy weather，Wherein/>And/>Respectively indicating the set reference outside environment visibility and fog concentration,/>And/>The set external environment visibility and the fog concentration are respectively represented by the front fog lamp on-demand evaluation duty ratio weight.
F5, extracting the compensation front fog lamp intensity corresponding to the unit dirt degree from the cloud database, and marking as。
And F6, comparing the front fog lamp opening demand index corresponding to the target running vehicle when running in the foggy weather with the front fog lamp opening demand index set to be referred to, and if the front fog lamp opening demand index corresponding to the target running vehicle when running in the foggy weather is smaller than the front fog lamp opening demand index set to be referred to, automatically closing the front fog lamp of the target running vehicle.
F7, if the front fog lamp opening demand index corresponding to the target running vehicle running in the foggy weather is greater than or equal to the front fog lamp opening demand index of the set reference, automatically opening the front fog lamp of the target running vehicle, comparing the front fog lamp opening intensity with the front fog lamp opening intensities corresponding to the front fog lamp opening demand indexes stored in the cloud database to obtain the front fog lamp opening intensity of the target running vehicle, and recording asAnd will/>As the final on intensity of the front fog lamp of the target traveling vehicle.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the invention, the automatic switching of the high beam and the low beam is deeply analyzed by combining the light intensity, the visibility and the relative distance of the opposite moving vehicles, so that a driver is helped to recognize obstacles on a road and the opposite moving vehicles earlier, and meanwhile, the fact that the running vehicles can be switched to the low beam in time when the opposite vehicles approach is ensured, so that discomfort or danger to other drivers is avoided, and a good running environment is created.
(2) According to the invention, the automatic starting time point of the steering lamp is deeply analyzed by combining the predicted time point of the driving vehicle reaching the next steering intersection and the traffic congestion condition, so that the defects of low accuracy, poor rationality and the like in the starting result of the steering lamp are reduced, other drivers are ensured to have enough time to notice the steering signal, other drivers are ensured to have enough time to adjust the speed and the following distance, and the possibility of vehicle rear-end collision is reduced.
(3) According to the invention, the front fog lamp of the target driving vehicle is automatically turned on and the turn-on intensity is deeply analyzed by combining the visibility of the external environment, the concentration of fog and the dirt condition of the front fog lamp shade, so that the visual field definition of a driver when driving in the foggy weather is ensured, the timeliness of the driver for finding obstacles in a road is improved to a certain extent, and the driving safety of the driver when driving in the foggy weather is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram showing the connection of the system modules according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a vehicle illumination lamp control system, comprising: the system comprises a road environment information acquisition module, a high beam and low beam automatic switching module, a vehicle steering information acquisition module, a steering lamp automatic switching module, a fog lamp automatic switching module and a cloud database.
The system comprises a road environment information acquisition module, a far-near light automatic switching module, a vehicle steering information acquisition module, a steering light automatic switching module, a cloud database and a cloud database, wherein the road environment information acquisition module is connected with the far-near light automatic switching module, and the vehicle steering information acquisition module is connected with the steering light automatic switching module.
The road environment information acquisition module is used for extracting a target road from the driving navigation of a target driving vehicle, dividing the target road into road sections according to a set length, acquiring the light intensity and the visibility of each road section, extracting the width of each road section, setting a light adjustment monitoring area of the target driving vehicle in each road section, and acquiring the relative distance between each opposite moving vehicle and the target driving vehicle which drive to the target driving vehicle in the light adjustment monitoring area of each road section.
The light intensity and the visibility of each road section are acquired through a light sensor and an infrared visibility meter respectively, the width of each road section is extracted from an information management background of a target road, and the relative distance between each opposite moving vehicle and the target running vehicle is acquired through a distance sensor.
In a specific embodiment of the present invention, the specific setting process of the light adjustment monitoring area of the target driving vehicle on each road section is: a1, locating a center point of the target running vehicle, and taking the center point as an origin as a center line of the target running vehicle.
A2, extracting effective illumination distance of vehicle lamplight from the cloud database and marking as。
It should be noted that, in general, the effective irradiation distance of the high beam is about 45 meters to 120 meters, and the effective irradiation distance of the low beam is about 30 meters to 45 meters, and in one embodiment of the present invention, the effective irradiation distance of the vehicle light includes, but is not limited to, 80 meters.
A3, recording the width of each road section asWherein/>Number representing road section,/>。
A4, distance to left of center line of target running vehicleIs used as the left monitoring boundary line of each road section to target the right distance/>, of the center line of the running vehicleIs used as the right monitoring boundary line of each road section, and the distance/>And obtaining a monitoring rectangular area of each road section as a front end monitoring boundary line of each road section, and taking the monitoring rectangular area as a light adjustment monitoring area of the target running vehicle on each road section, wherein the cab direction of the target running vehicle is taken as the left direction, the copilot direction is taken as the right direction, and the running direction is taken as the front end direction.
And the high beam and low beam automatic switching module is used for automatically switching the high beam and low beam when the target running vehicle runs on each road section.
In a specific embodiment of the present invention, the automatic switching of the high beam and low beam lamps of the target driving vehicle during driving on each road segment is specifically performed by the following switching process: b1, respectively marking the light intensity and the visibility of each road section asAnd/>。
B2, if the target running vehicle does not have the opposite moving vehicles in the lamplight adjustment monitoring areas of the road sections, calculating a high beam switching evaluation index of the target running vehicle in the road sections，/>Wherein/>And/>Respectively representing the light intensity and visibility of the set reference,/>And/>And respectively representing the set high beam switching evaluation duty ratio weight corresponding to the light intensity and the visibility.
And B3, when the high beam switching evaluation index of the target running vehicle on each road section is greater than or equal to the high beam switching evaluation index of the set reference, switching the target running vehicle into the high beam, otherwise, switching the target running vehicle into the low beam.
B4, if the target running vehicle has opposite running vehicles in the light adjustment monitoring area of each road section, calculating a dipped headlight switching evaluation index of the target running vehicle in each road section according to the relative distance between each opposite running vehicle and the target running vehicle in the light adjustment monitoring area of each road section when the target running vehicle is running to the target running vehicle。
In a specific embodiment of the present invention, the calculating the dipped headlight switching evaluation index of the target running vehicle at each road section specifically includes: c1, extracting the minimum value from the relative distance between each opposite moving vehicle and the target running vehicle in the light adjustment monitoring area of each road section from the running to the target running vehicle, and recording as。
C2, extracting the glare distance of the high beam from the cloud database and recording as。
It should be noted that, the glare distance refers to a glare distance of the high beam, when the high beam is used, the light beam directly irradiates eyes of other drivers, and may cause glare, and a normal glare distance of the high beam is about between 90 meters and 150 meters, and in one embodiment of the present invention, the glare distance includes, but is not limited to, 120 meters.
C3, calculating the dipped headlight switching evaluation index of the target running vehicle on each road section，Wherein/>The distance deviation of the set reference is shown.
And B5, when the low beam switching evaluation index of the target running vehicle on each road section is greater than or equal to the set reference low beam switching evaluation index, switching the target running vehicle into a low beam, otherwise, switching the target running vehicle into a high beam.
According to the embodiment of the invention, the automatic switching of the high beam and the low beam is deeply analyzed by combining the light intensity, the visibility and the relative distance of the opposite moving vehicles, so that a driver is helped to recognize obstacles on a road and the opposite moving vehicles earlier, meanwhile, the fact that the running vehicles can be switched to the low beam in time when the opposite vehicles approach is ensured, discomfort or danger to other drivers is avoided, and a good running environment is created.
The vehicle steering information acquisition module is used for extracting a current time point, extracting the distance between the current speed and the current position of the target running vehicle and the position of the next steering intersection and the steering direction of the next steering intersection, marking a road section between the current position of the target running vehicle and the position of the next steering intersection as a monitoring road section, and acquiring the vehicle information of the monitoring road section, wherein the steering direction comprises left steering and right steering.
The current time point, the current speed and the distance between the current position and the position of the next turning intersection of the target running vehicle, and the turning direction of the next turning intersection are all extracted from the running navigation of the target running vehicle.
In a specific embodiment of the present invention, the vehicle information includes a number of vehicles corresponding to a current time point on a current monitoring day and a number of vehicles corresponding to the current time point on each monitoring day in a history.
It should be noted that, the number of vehicles corresponding to the current time point on the current monitoring day is acquired by a camera arranged in the monitoring road section, and the number of vehicles corresponding to the current time point on each historical monitoring day is acquired from a background management system of the monitoring road section.
And the automatic steering lamp switching module is used for automatically switching the steering lamp of the target running vehicle at the next steering intersection.
In a specific embodiment of the present invention, the automatic switching of the turn signal lamp of the target driving vehicle at the next turn intersection is performed by the following specific switching process: d1, respectively recording the current speed and the distance between the current position and the position of the next turning intersection of the target running vehicle asAnd/>。
D2, extracting the number of vehicles of the monitoring road section corresponding to the current time point on the current monitoring day and the number of vehicles of the monitoring road section corresponding to the current time point on each historical monitoring day from the vehicle information, and calculating the vehicle crowding degree corresponding to the monitoring road section。
In a specific embodiment of the present invention, the calculating the vehicle congestion degree corresponding to the monitored road section specifically includes: and E1, integrating the number of vehicles of the monitoring road section at the current time point corresponding to the current monitoring day and the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day of the history to obtain the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day.
It should be noted that, the specific way of integrating the number of vehicles of the monitored road section at the current time point corresponding to the current monitoring day and the number of vehicles of the monitored road section at the current time point corresponding to each historical monitoring day is as follows: and sequencing the current monitoring days and the historical monitoring days according to the time sequence, and recording the sequenced monitoring days as the monitoring days.
E2, comparing the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day with the reference accommodating vehicle number of the monitoring road section stored in the cloud database, if the number of vehicles of the monitoring road section at the current time point corresponding to a certain monitoring day is greater than or equal to the reference accommodating vehicle number of the monitoring road section, recording the monitoring day as a crowding day, counting the crowding day number of the monitoring road section, and recording as。
E3, extracting the maximum value from the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day, and recording as。
E4, calculating the vehicle crowding degree corresponding to the monitored road section，/>Wherein/>And/>Indicates the number of congestion days and the number of vehicles for which reference is set, respectively,/>And/>The set number of congestion days and the set number of vehicles corresponding to the vehicle congestion degree evaluation duty are respectively indicated.
D3, extracting the compensation driving time length corresponding to the congestion degree of the unit vehicle from the cloud database, and recording as。
D4, calculating the expected driving time of the target driving vehicle reaching the next steering intersection，。
D5, extracting warning steering time from the cloud database and recording as。
It should be noted that, the warning steering time period refers to that the driver should turn on the steering lamp in advance before steering, so as to convey driving intention to other drivers, and typically turn on the steering lamp in a period of at least 3 seconds to 4 seconds before steering, and in a specific embodiment of the present invention, the warning steering time period includes, but is not limited to, 4 seconds.
D6, obtaining an expected arrival time point corresponding to the arrival of the target traveling vehicle at the next turning intersection according to the current time point and the expected traveling time length, and if the turning direction of the next turning intersection is left turning, obtaining the target traveling vehicle before the expected arrival time pointWhen the time point is reached, the left steering lamp is automatically turned on, and if the steering direction of the next steering intersection is right steering, the left steering lamp is turned on before the predicted arrival time point/>And at the time point, automatically starting the right turn lamp.
According to the embodiment of the invention, the automatic starting time point of the steering lamp is deeply analyzed by combining the predicted time point of the running vehicle reaching the next steering intersection and the traffic congestion condition, so that the defects of low accuracy, poor rationality and the like in the starting result of the steering lamp are reduced, other drivers are ensured to have enough time to notice the steering signal, other drivers are ensured to have enough time to adjust the speed and the following distance, and the possibility of vehicle rear-end collision is reduced.
The automatic fog lamp switching module is used for extracting the surface area of a front fog lamp shade of a target running vehicle, collecting the number of dirt positions of the front fog lamp shade and the corresponding dirt areas of the dirt positions, and collecting the corresponding external environment visibility and fog concentration of the target running vehicle when running in a foggy weather, so that the front fog lamp of the target running vehicle is automatically switched.
The surface area of the front fog lamp shade is extracted from a vehicle management background of a target driving vehicle, the number of dirt positions of the front fog lamp shade and the corresponding dirt areas of the dirt positions are obtained by collecting images through cameras arranged at the front fog lamp shade and positioning the images, the external environment visibility is obtained by collecting through an infrared visibility meter, and the concentration of fog is obtained by collecting from a weather station.
In a specific embodiment of the present invention, the automatic switching of the front fog lamp of the target driving vehicle is performed by the following specific switching process: f1, respectively marking the surface area of a front fog lamp shade of the target running vehicle, the number of dirt positions of the front fog lamp shade and the corresponding dirt areas of the dirt positions as、/>And/>Wherein/>Number indicating fouling position,/>。
F2, calculating the dirt degree of a front fog lamp shade of the target running vehicle，Wherein/>And/>Respectively represent the number of dirt positions and the dirt area ratio of the set reference,/>And/>Respectively representing the set number of dirt positions and the dirt area ratio and corresponding dirt degree evaluation duty ratio weight,/>, respectivelyRepresenting natural constants.
F3, respectively recording the visibility of the external environment and the fog concentration corresponding to the running of the target running vehicle in the foggy weather asAnd/>。
F4, calculating a front fog lamp turn-on demand index corresponding to the target running vehicle running in the foggy weather，Wherein/>And/>Respectively indicating the set reference outside environment visibility and fog concentration,/>And/>The set external environment visibility and the fog concentration are respectively represented by the front fog lamp on-demand evaluation duty ratio weight.
F5, extracting the compensation front fog lamp intensity corresponding to the unit dirt degree from the cloud database, and marking as。
And F6, comparing the front fog lamp opening demand index corresponding to the target running vehicle when running in the foggy weather with the front fog lamp opening demand index set to be referred to, and if the front fog lamp opening demand index corresponding to the target running vehicle when running in the foggy weather is smaller than the front fog lamp opening demand index set to be referred to, automatically closing the front fog lamp of the target running vehicle.
F7, if the front fog lamp opening demand index corresponding to the target running vehicle running in the foggy weather is greater than or equal to the front fog lamp opening demand index of the set reference, automatically opening the front fog lamp of the target running vehicle, comparing the front fog lamp opening intensity with the front fog lamp opening intensities corresponding to the front fog lamp opening demand indexes stored in the cloud database to obtain the front fog lamp opening intensity of the target running vehicle, and recording asAnd will/>As the final on intensity of the front fog lamp of the target traveling vehicle.
According to the embodiment of the invention, the front fog lamp of the target driving vehicle is automatically turned on and the turn-on intensity is deeply analyzed by combining the visibility of the external environment, the concentration of fog and the dirt condition of the front fog lamp shade, so that the visual field definition of a driver when driving in the foggy weather is ensured, the timeliness of the driver for finding obstacles in a road is improved to a certain extent, and the driving safety of the driver when driving in the foggy weather is improved.
The cloud database is used for storing the effective irradiation distance of the vehicle light and the glare distance of the high beam, storing the compensation driving time length corresponding to the congestion degree of the unit vehicle, the reference accommodation vehicle number and the warning steering time length of the monitored road section, and storing the front fog lamp starting intensity corresponding to the front fog lamp starting requirement indexes and the compensation front fog lamp intensity corresponding to the unit dirt degree.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (2)
1. A vehicle illumination lamp control system, characterized by comprising:
The road environment information acquisition module is used for extracting a target road from driving navigation of a target driving vehicle, dividing the target road into road sections according to a set length, acquiring light intensity and visibility of each road section, extracting width of each road section, setting a light adjustment monitoring area of the target driving vehicle in each road section, and acquiring relative distances between each opposite moving vehicle and the target driving vehicle which drive to the target driving vehicle in the light adjustment monitoring area of each road section;
the high beam and low beam automatic switching module is used for automatically switching high beam and low beam lamps of a target running vehicle when the target running vehicle runs on each road section;
The vehicle steering information acquisition module is used for extracting a current time point, extracting the distance between the current speed and the current position of the target running vehicle and the position of the next steering intersection and the steering direction of the next steering intersection, recording a road section between the current position of the target running vehicle and the position of the next steering intersection as a monitoring road section, and acquiring the vehicle information of the monitoring road section, wherein the steering direction comprises left steering and right steering;
the automatic steering lamp switching module is used for automatically switching the steering lamp of the target running vehicle at the next steering intersection;
The automatic fog lamp switching module is used for extracting the surface area of a front fog lamp shade of the target running vehicle, collecting the number of dirt positions of the front fog lamp shade and the corresponding dirt areas of the dirt positions, and collecting the corresponding external environment visibility and fog concentration of the target running vehicle when running in the foggy weather, so that the front fog lamp of the target running vehicle is automatically switched;
The cloud database is used for storing the effective irradiation distance of the vehicle light and the glare distance of the high beam, storing the compensation driving time length corresponding to the crowding degree of the unit vehicle, the reference accommodating vehicle number and the warning steering time length of the monitored road section, and storing the front fog lamp starting intensity corresponding to the front fog lamp starting requirement indexes and the compensation front fog lamp intensity corresponding to the unit dirt degree;
the specific setting process of the light adjustment monitoring area of the target running vehicle on each road section is as follows:
a1, locating a central point of a target running vehicle, and taking the central point as an origin as a central line of the target running vehicle;
A2, extracting effective illumination distance of vehicle lamplight from the cloud database and marking as ；
A3, recording the width of each road section asWherein/>Number representing road section,/>；
A4, distance to left of center line of target running vehicleIs used as the left monitoring boundary line of each road section to target the right distance/>, of the center line of the running vehicleIs used as the right monitoring boundary line of each road section, and the distance/>The method comprises the steps of obtaining a monitoring rectangular area of each road section as a front end monitoring boundary line of each road section, and taking the monitoring rectangular area as a light adjusting monitoring area of a target running vehicle on each road section, wherein the cab direction of the target running vehicle is taken as a left direction, the passenger cab direction is taken as a right direction, and the running direction is taken as a front end direction;
the automatic switching of the high beam and low beam lamps of the target running vehicle when running on each road section is carried out, and the specific switching process is as follows:
B1, respectively marking the light intensity and the visibility of each road section as And/>；
B2, if the target running vehicle does not have the opposite moving vehicles in the lamplight adjustment monitoring areas of the road sections, calculating a high beam switching evaluation index of the target running vehicle in the road sections，/>Wherein/>And/>Respectively representing the light intensity and visibility of the set reference,/>And/>Respectively representing the set high beam switching evaluation duty ratio weight corresponding to the light intensity and the visibility;
B3, when the far-reaching headlamp switching evaluation index of the target running vehicle on each road section is larger than or equal to the set reference far-reaching headlamp switching evaluation index, switching the target running vehicle into a far-reaching headlamp, otherwise, switching the target running vehicle into a low-reaching headlamp;
B4, if the target running vehicle has opposite running vehicles in the light adjustment monitoring area of each road section, calculating a dipped headlight switching evaluation index of the target running vehicle in each road section according to the relative distance between each opposite running vehicle and the target running vehicle in the light adjustment monitoring area of each road section when the target running vehicle is running to the target running vehicle ；
B5, when the low beam switching evaluation index of the target running vehicle on each road section is greater than or equal to the set reference low beam switching evaluation index, switching the target running vehicle into a low beam, otherwise, switching the target running vehicle into a high beam;
The method for calculating the low beam switching evaluation index of the target driving vehicle on each road section comprises the following specific calculation processes:
c1, extracting the minimum value from the relative distance between each opposite moving vehicle and the target running vehicle in the light adjustment monitoring area of each road section from the running to the target running vehicle, and recording as ；
C2, extracting the glare distance of the high beam from the cloud database and recording as；
C3, calculating the dipped headlight switching evaluation index of the target running vehicle on each road section，Wherein/>Indicating the distance deviation of the set reference;
The vehicle information comprises the number of vehicles corresponding to the current time point on the current monitoring day and the number of vehicles corresponding to the current time point on each monitoring day;
the automatic switching of the steering lamp of the target running vehicle at the next steering intersection is carried out, and the specific switching process is as follows:
D1, respectively recording the current speed and the distance between the current position and the position of the next turning intersection of the target running vehicle as And/>；
D2, extracting the number of vehicles of the monitoring road section corresponding to the current time point on the current monitoring day and the number of vehicles of the monitoring road section corresponding to the current time point on each historical monitoring day from the vehicle information, and calculating the vehicle crowding degree corresponding to the monitoring road section；
D3, extracting the compensation driving time length corresponding to the congestion degree of the unit vehicle from the cloud database, and recording as；
D4, calculating the expected driving time of the target driving vehicle reaching the next steering intersection，/>；
D5, extracting warning steering time from the cloud database and recording as；
D6, obtaining an expected arrival time point corresponding to the arrival of the target traveling vehicle at the next turning intersection according to the current time point and the expected traveling time length, and if the turning direction of the next turning intersection is left turning, obtaining the target traveling vehicle before the expected arrival time pointWhen the time point is reached, the left steering lamp is automatically turned on, and if the steering direction of the next steering intersection is right steering, the left steering lamp is turned on before the predicted arrival time point/>At the time point, automatically starting a right turn light;
the vehicle congestion degree corresponding to the calculation monitoring road section is calculated by the following specific calculation process:
e1, integrating the number of vehicles of the monitoring road section at the current time point corresponding to the current monitoring day and the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day of the history to obtain the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day;
e2, comparing the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day with the reference accommodating vehicle number of the monitoring road section stored in the cloud database, if the number of vehicles of the monitoring road section at the current time point corresponding to a certain monitoring day is greater than or equal to the reference accommodating vehicle number of the monitoring road section, recording the monitoring day as a crowding day, counting the crowding day number of the monitoring road section, and recording as ；
E3, extracting the maximum value from the number of vehicles of the monitoring road section at the current time point corresponding to each monitoring day, and recording as；
E4, calculating the vehicle crowding degree corresponding to the monitored road section，/>Wherein/>And/>Indicates the number of congestion days and the number of vehicles for which reference is set, respectively,/>And/>The set number of congestion days and the set number of vehicles corresponding to the vehicle congestion degree evaluation duty are respectively indicated.
2. A vehicle illumination lamp control system according to claim 1, characterized in that: the automatic switching of the front fog lamp of the target running vehicle comprises the following specific switching processes:
F1, respectively marking the surface area of a front fog lamp shade of the target running vehicle, the number of dirt positions of the front fog lamp shade and the corresponding dirt areas of the dirt positions as 、/>And/>Wherein/>Number indicating fouling position,/>；
F2, calculating the dirt degree of a front fog lamp shade of the target running vehicle，/>Wherein/>And/>Respectively represent the number of dirt positions and the dirt area ratio of the set reference,/>And/>Respectively representing the set number of dirt positions and the dirt area ratio and corresponding dirt degree evaluation duty ratio weight,/>, respectivelyRepresenting natural constants;
F3, respectively recording the visibility of the external environment and the fog concentration corresponding to the running of the target running vehicle in the foggy weather as And/>；
F4, calculating a front fog lamp turn-on demand index corresponding to the target running vehicle running in the foggy weather，Wherein/>And/>Respectively indicating the set reference outside environment visibility and fog concentration,/>And/>Respectively representing the set external environment visibility and the set fog concentration corresponding to the front fog lamp starting requirement evaluation duty ratio weight;
F5, extracting the compensation front fog lamp intensity corresponding to the unit dirt degree from the cloud database, and marking as ；
F6, comparing the front fog lamp opening demand index corresponding to the target running vehicle running in the foggy weather with the front fog lamp opening demand index set to be referred to, and if the front fog lamp opening demand index corresponding to the target running vehicle running in the foggy weather is smaller than the front fog lamp opening demand index set to be referred to, automatically closing the front fog lamp of the target running vehicle;
f7, if the front fog lamp opening demand index corresponding to the target running vehicle running in the foggy weather is greater than or equal to the front fog lamp opening demand index of the set reference, automatically opening the front fog lamp of the target running vehicle, comparing the front fog lamp opening intensity with the front fog lamp opening intensities corresponding to the front fog lamp opening demand indexes stored in the cloud database to obtain the front fog lamp opening intensity of the target running vehicle, and recording as And will/>As the final on intensity of the front fog lamp of the target traveling vehicle.
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