CN116674461A - Method and device for controlling vehicle light and vehicle - Google Patents

Method and device for controlling vehicle light and vehicle Download PDF

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Publication number
CN116674461A
CN116674461A CN202310679268.1A CN202310679268A CN116674461A CN 116674461 A CN116674461 A CN 116674461A CN 202310679268 A CN202310679268 A CN 202310679268A CN 116674461 A CN116674461 A CN 116674461A
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CN
China
Prior art keywords
vehicle
parameter
data
weather
controlling
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
Application number
CN202310679268.1A
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Chinese (zh)
Inventor
林�源
盖沙沙
谭传瑞
张浩男
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FAW Group Corp
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FAW Group Corp
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Publication date
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Priority to CN202310679268.1A priority Critical patent/CN116674461A/en
Publication of CN116674461A publication Critical patent/CN116674461A/en
Pending legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/105—Controlling the light source in response to determined parameters
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
    • B60Q1/02—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments
    • B60Q1/04—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights
    • B60Q1/06—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle
    • B60Q1/076—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle by electrical means including means to transmit the movements, e.g. shafts or joints
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
    • B60Q1/02—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments
    • B60Q1/04—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights
    • B60Q1/06—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle
    • B60Q1/08—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle automatically
    • B60Q1/085—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle automatically due to special conditions, e.g. adverse weather, type of road, badly illuminated road signs or potential dangers
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
    • B60Q1/02—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments
    • B60Q1/04—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights
    • B60Q1/14—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights having dimming means
    • B60Q1/1415—Dimming circuits
    • B60Q1/1423—Automatic dimming circuits, i.e. switching between high beam and low beam due to change of ambient light or light level in road traffic
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
    • B60Q1/02—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments
    • B60Q1/04—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights
    • B60Q1/18—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights being additional front lights
    • B60Q1/20—Fog lights
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q3/00—Arrangement of lighting devices for vehicle interiors; Lighting devices specially adapted for vehicle interiors
    • B60Q3/10—Arrangement of lighting devices for vehicle interiors; Lighting devices specially adapted for vehicle interiors for dashboards
    • B60Q3/16—Circuits; Control arrangements
    • B60Q3/18—Circuits; Control arrangements for varying the light intensity
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q3/00—Arrangement of lighting devices for vehicle interiors; Lighting devices specially adapted for vehicle interiors
    • B60Q3/80—Circuits; Control arrangements
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/105—Controlling the light source in response to determined parameters
    • H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
    • 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
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Lighting Device Outwards From Vehicle And Optical Signal (AREA)

Abstract

The invention discloses a method and a device for controlling vehicle lamplight and a vehicle. Wherein the method comprises the following steps: acquiring multi-dimensional environment data, wherein the multi-dimensional environment data is used for determining the light demand of a vehicle at the current position; carrying out light demand analysis on the multi-dimensional environmental data to obtain an analysis result; and controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result meeting the target condition. The invention solves the technical problems of low intelligent level and low light control accuracy of the method for controlling the light on of the vehicle by adopting the sunlight and rainfall sensor to identify the illumination intensity in the prior art.

Description

Method and device for controlling vehicle light and vehicle
Technical Field
The invention relates to the field of vehicle light control, in particular to a method and a device for controlling vehicle light and a vehicle.
Background
The car light is one of the important safety devices of the vehicle, and the car light ensures the driving safety of the vehicle in bad traveling environments such as night, extreme weather and the like. In the prior art, the sunlight and rainfall sensor is generally utilized to identify the illumination intensity so as to control the on and off of the car lamp based on the illumination intensity, and the car fog lamp can only be manually turned on or off in the prior art, so that the intelligent level of the method for controlling the light provided by the prior art is lower.
From the above analysis, it can be known that, aiming at the problems of low intelligent level and low light control accuracy of the method for controlling the light on of the vehicle by adopting the sunlight and rainfall sensor to identify the illumination intensity in the prior art, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for controlling vehicle lamplight and a vehicle, which at least solve the technical problems of low intelligent level and low lamplight control accuracy of a method for controlling the starting of the vehicle lamplight by adopting a sunlight and rainfall sensor to identify illumination intensity in the prior art.
According to an aspect of an embodiment of the present invention, there is provided a method of controlling light of a vehicle, including:
acquiring multi-dimensional environment data, wherein the multi-dimensional environment data is used for determining the light demand of a vehicle at the current position; carrying out light demand analysis on the multi-dimensional environmental data to obtain an analysis result; and controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result meeting the target condition.
Optionally, the multi-dimensional environmental data includes: image recognition data, weather data, and map data, the obtaining multi-dimensional environmental data comprising: acquiring a real-time image and real-time weather of a current position, wherein the real-time image is acquired in real time by at least one image acquisition device equipped with a vehicle, and the real-time weather is issued in real time by a service end associated with the vehicle; performing image recognition on the real-time image to obtain image recognition data, wherein the image recognition data are used for determining environment illumination information of the current position; and screening the real-time weather data to obtain meteorological data, wherein the meteorological data at least comprises: sunrise time, sunset time, air visibility, and weather type; map data is determined based on the current location and a preset map resource.
Optionally, performing an environmental light intensity analysis on the multi-dimensional environmental data to obtain an analysis result, where the analysis result includes: performing light intensity sensing on image identification data in the multi-dimensional environment data by using a target light intensity sensing model, and determining a first requirement parameter; performing light demand analysis on meteorological data in the multi-dimensional environment data, and determining a second demand parameter; determining a third demand parameter according to the map data, wherein the third demand parameter is used for determining whether the current position is located in a preset dark area; and calculating to obtain an analysis result based on the first demand parameter, the second demand parameter and the third demand parameter.
Optionally, the target light intensity perception model includes: the first perception sub-model, the second perception sub-model and the third perception sub-model are used for carrying out light intensity perception on image identification data in multi-dimensional environment data by using the target light intensity perception model, and determining the first requirement parameter comprises the following steps: performing image gray level analysis on the image identification data by using the first perception sub-model to obtain a first light intensity parameter, wherein the first light intensity parameter is used for determining the ambient illumination intensity of the current position; analyzing the image identification data by using the second perception sub-model to obtain a second light intensity parameter, wherein the second light intensity parameter is used for determining the light opening conditions of other vehicles around the current position; analyzing the image recognition data by using a third perception sub-model to obtain a third light intensity parameter, wherein the third light intensity parameter is used for determining the opening condition of the street lamp around the current position; and calculating to obtain a first demand parameter based on the first light intensity parameter, the second light intensity parameter and the third light intensity parameter.
Optionally, performing light demand analysis on meteorological data in the multi-dimensional environmental data, and determining the second demand parameter includes: determining a first weather parameter based on the current time and sunrise time and sunset time in the weather data, wherein the first weather parameter is used for determining whether the current time is in the night; analyzing the air visibility in the meteorological data based on a plurality of preset visibility thresholds, and determining a second meteorological parameter, wherein the second meteorological parameter is used for determining a visibility level corresponding to the air visibility; analyzing the weather type in the weather data to determine a third weather parameter, wherein the third weather parameter is used for determining whether the weather type belongs to severe weather; the second demand parameter is calculated based on the first weather parameter, the second weather parameter, and the third weather parameter.
Optionally, the lighting system of the vehicle includes at least a dipped headlight, and controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result satisfying the target condition includes: controlling the dipped headlight to switch from the initial state to a first target on state in response to the analysis result being in the first numerical range; and controlling the dipped headlight to switch from the initial state to the off state in response to the analysis result being in a second numerical range, wherein the numerical value in the second numerical range is smaller than the numerical value in the first numerical range.
Optionally, the lighting system of the vehicle further includes an in-vehicle backlight, and controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result satisfying the target condition includes: responding to the analysis result in a first numerical range, and controlling the in-vehicle backlight to switch from an initial state to a first theme mode, wherein the first theme mode is a preset starting theme of the in-vehicle backlight when the vehicle runs at night; and controlling the in-vehicle backlight to switch from the initial state to a second theme mode in response to the analysis result being in the second numerical range, wherein the second theme model is a preset starting theme of the in-vehicle backlight when the vehicle runs for hundred days.
Optionally, the lighting system of the vehicle further includes a fog lamp, and controlling the lighting system of the vehicle to switch to the target state in response to the analysis result satisfying the target condition includes: controlling the fog lamp to switch from the initial state to a second target on state in response to the analysis result being in the first numerical range and the second meteorological parameter being in the third numerical range; controlling the fog lamp to switch from an initial state to an off state in response to the analysis result being in the first numerical range and the second meteorological parameter being in the fourth numerical range, wherein the numerical value in the fourth numerical range is smaller than the numerical value in the third numerical range; and controlling the fog lamp to switch from the initial state to a third target on state in response to the analysis result being in the first numerical range and the third meteorological parameter belonging to bad weather corresponding to the weather type.
According to another aspect of the embodiment of the present invention, there is also provided an apparatus for controlling light of a vehicle, including:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring multi-dimensional environment data, and the multi-dimensional environment data determines the light requirement of a characterization vehicle at the current position; the analysis module is used for carrying out lamplight demand analysis on the multi-dimensional environmental data to obtain an analysis result; and the control module is used for controlling the lamplight system of the vehicle to be switched from the initial state to the target state in response to the analysis result meeting the target condition.
Optionally, the above-mentioned acquisition module is further configured to: the multi-dimensional environmental data includes: image recognition data, weather data, and map data, the obtaining multi-dimensional environmental data comprising: acquiring a real-time image and real-time weather of a current position, wherein the real-time image is acquired in real time by at least one image acquisition device equipped with a vehicle, and the real-time weather is issued in real time by a service end associated with the vehicle; performing image recognition on the real-time image to obtain image recognition data, wherein the image recognition data are used for determining environment illumination information of the current position; and screening the real-time weather data to obtain meteorological data, wherein the meteorological data at least comprises: sunrise time, sunset time, air visibility, and weather type; map data is determined based on the current location and a preset map resource.
Optionally, the analysis module is further configured to: performing an environmental light intensity analysis on the multi-dimensional environmental data to obtain an analysis result, wherein the analysis result comprises: performing light intensity sensing on image identification data in the multi-dimensional environment data by using a target light intensity sensing model, and determining a first requirement parameter; performing light demand analysis on meteorological data in the multi-dimensional environment data, and determining a second demand parameter; determining a third demand parameter according to the map data, wherein the third demand parameter is used for determining whether the current position is located in a preset dark area; and calculating to obtain an analysis result based on the first demand parameter, the second demand parameter and the third demand parameter.
Optionally, the analysis module is further configured to: the target light intensity perception model comprises: the first perception sub-model, the second perception sub-model and the third perception sub-model are used for carrying out light intensity perception on image identification data in multi-dimensional environment data by using the target light intensity perception model, and determining the first requirement parameter comprises the following steps: performing image gray level analysis on the image identification data by using the first perception sub-model to obtain a first light intensity parameter, wherein the first light intensity parameter is used for determining the ambient illumination intensity of the current position; analyzing the image identification data by using the second perception sub-model to obtain a second light intensity parameter, wherein the second light intensity parameter is used for determining the light opening conditions of other vehicles around the current position; analyzing the image recognition data by using a third perception sub-model to obtain a third light intensity parameter, wherein the third light intensity parameter is used for determining the opening condition of the street lamp around the current position; and calculating to obtain a first demand parameter based on the first light intensity parameter, the second light intensity parameter and the third light intensity parameter.
Optionally, the analysis module is further configured to: performing light demand analysis on meteorological data in the multi-dimensional environmental data, wherein determining the second demand parameter comprises: determining a first weather parameter based on the current time and sunrise time and sunset time in the weather data, wherein the first weather parameter is used for determining whether the current time is in the night; analyzing the air visibility in the meteorological data based on a plurality of preset visibility thresholds, and determining a second meteorological parameter, wherein the second meteorological parameter is used for determining a visibility level corresponding to the air visibility; analyzing the weather type in the weather data to determine a third weather parameter, wherein the third weather parameter is used for determining whether the weather type belongs to severe weather; the second demand parameter is calculated based on the first weather parameter, the second weather parameter, and the third weather parameter.
Optionally, the control module is further configured to: the lighting system of the vehicle at least comprises a dipped headlight, and the controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result meeting the target condition comprises: controlling the dipped headlight to switch from the initial state to a first target on state in response to the analysis result being in the first numerical range; and controlling the dipped headlight to switch from the initial state to the off state in response to the analysis result being in a second numerical range, wherein the numerical value in the second numerical range is smaller than the numerical value in the first numerical range.
Optionally, the control module is further configured to: the lighting system of the vehicle further includes an in-vehicle backlight, and controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result satisfying the target condition includes: responding to the analysis result in a first numerical range, and controlling the in-vehicle backlight to switch from an initial state to a first theme mode, wherein the first theme mode is a preset starting theme of the in-vehicle backlight when the vehicle runs at night; and controlling the in-vehicle backlight to switch from the initial state to a second theme mode in response to the analysis result being in the second numerical range, wherein the second theme model is a preset starting theme of the in-vehicle backlight when the vehicle runs for hundred days.
Optionally, the control module is further configured to: the lighting system of the vehicle further includes a fog lamp, and controlling the lighting system of the vehicle to switch to the target state in response to the analysis result satisfying the target condition includes: controlling the fog lamp to switch from the initial state to a second target on state in response to the analysis result being in the first numerical range and the second meteorological parameter being in the third numerical range; controlling the fog lamp to switch from an initial state to an off state in response to the analysis result being in the first numerical range and the second meteorological parameter being in the fourth numerical range, wherein the numerical value in the fourth numerical range is smaller than the numerical value in the third numerical range; and controlling the fog lamp to switch from the initial state to a third target on state in response to the analysis result being in the first numerical range and the third meteorological parameter belonging to bad weather corresponding to the weather type.
According to yet another aspect of an embodiment of the present invention, there is also provided a vehicle including an on-board memory having a computer program stored therein and an on-board processor configured to run the computer program to perform the method of controlling the light of the vehicle of any one of the preceding claims.
In the embodiment of the invention, the multi-dimensional environment data is firstly obtained, wherein the multi-dimensional environment data is used for determining the light demand of the vehicle at the current position, then the multi-dimensional environment data is subjected to light demand analysis to obtain an analysis result, and finally, the light system of the vehicle is controlled to be switched from an initial state to a target state in response to the analysis result meeting target conditions, so that the aim of determining the accurate light demand based on the multi-dimensional environment data and intelligently controlling the light system of the vehicle is fulfilled, the technical effects of improving the intelligent level and the control accuracy of the method for controlling the light of the vehicle are realized, and the technical problems of low intelligent level and low light control accuracy of the method for controlling the light opening of the vehicle by adopting the sunlight and rainfall sensor to identify the light intensity in the prior art are further solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a block diagram of a vehicle terminal according to an alternative method for controlling vehicle lights according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method of controlling vehicle lights according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a system for controlling vehicle lights according to an embodiment of the present invention;
fig. 4 is a block diagram of an alternative apparatus for controlling vehicle lights according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present invention, there is provided a method embodiment of a method of controlling vehicle lights, it being noted that the steps shown in the flowchart of the figures may be performed in a computer system such as a set of computer executable instructions, and, although a logical sequence is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than what is shown or described herein.
Fig. 1 is a block diagram of a vehicle terminal, as shown in fig. 1, of an alternative method for controlling vehicle lights, according to an embodiment of the present invention, the vehicle terminal 10 (or mobile device 10 associated with a vehicle) may include one or more processors 102 (the processors 102 may include, but are not limited to, a processing means such as a microprocessor (Microcontroller Unit, MCU) or programmable logic device (Field Programmable Gate Array, FPGA), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, the method may further include: display device 110, input/output device 108 (i.e., I/O device), universal serial bus (Universal Serial Bus, USB) port (which may be included as one of the ports of a computer bus, not shown), network interface (not shown), power supply (not shown), and/or camera (not shown). It will be appreciated by those skilled in the art that the configuration shown in fig. 1 is merely illustrative and is not intended to limit the configuration of the vehicle terminal 1 described above. For example, the vehicle terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
It should be noted that the one or more processors 102 and/or other data processing circuits described above may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuitry may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the vehicle terminal 10 (or mobile device).
The memory 104 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the method for controlling vehicle lights in the embodiment of the present invention, and the processor 102 executes the software programs and modules stored in the memory 104, thereby performing various functional applications and data processing, that is, implementing the method for controlling vehicle lights described above. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the vehicle terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used to receive or transmit data via a network. The specific examples of the network described above may include a wireless network provided by a communication provider of the vehicle terminal 10. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module for communicating with the internet wirelessly.
In the above-mentioned operating environment, the embodiment of the present invention provides a method for controlling vehicle light as shown in fig. 2, fig. 2 is a flowchart of a method for controlling vehicle light according to an embodiment of the present invention, and as shown in fig. 2, the embodiment shown in fig. 2 may at least include implementation steps, that is, may be the technical solutions implemented in steps S21 to S23.
Step S21, multi-dimensional environment data are obtained, wherein the multi-dimensional environment data are used for determining the light requirements of the vehicle at the current position;
in an alternative provided in the step S21, the multi-dimensional environmental data may be environmental data directly or indirectly related to the light intensity of the environment in which the vehicle is located, where the multi-dimensional environmental data may include, but is not limited to: natural environment data (e.g., weather data), location environment data (e.g., whether or not it is within a tunnel). It should be further noted that, the multi-dimensional environmental data may be data collected by a plurality of devices installed on the vehicle or a plurality of devices communicating with the vehicle, where the plurality of devices may include, but are not limited to: the vehicle comprises a vehicle recorder, an intelligent forward-looking camera, a weather application program and vehicle navigation. The light requirement may be whether the vehicle needs to turn on or off a lamp, turn on or off a lamp(s) when the vehicle is in the current position, which is determined by integrating the multi-dimensional environmental data.
According to the technical scheme provided by the invention, the light demand of the vehicle at the current position is comprehensively analyzed based on the multidimensional environment data, so that the accuracy of the analyzed light demand is higher, and the light of the vehicle can be accurately controlled based on the light demand, so that the driving pressure of a vehicle user can be reduced, and the driving experience of the user can be improved.
S22, carrying out light demand analysis on the multi-dimensional environmental data to obtain an analysis result;
in an alternative provided in the step S22, the analysis result may be a comprehensive analysis result of each dimensional environmental data in the multi-dimensional environmental data, specifically, for example, the multi-dimensional environmental data includes weather data and light intensity of an external environment of the vehicle, the analysis result corresponding to the weather data may be whether weather is normal (for example, whether the weather is a foggy day), the analysis result corresponding to the light intensity of the external environment of the vehicle may be whether the light intensity may satisfy the normal running of the vehicle, and the comprehensive analysis result may be whether the vehicle lamp needs to be turned on.
Step S23, in response to the analysis result meeting the target condition, the lighting system of the vehicle is controlled to be switched from the initial state to the target state.
In an alternative provided in the step S23, the target condition may be one or more control conditions preset by a technician, and the target condition may be used to automatically control the light (S) of the vehicle, for example, the target condition is a low beam control condition, specifically, when the visibility of the external environment where the vehicle is located is less than 200 meters, the low beam of the vehicle is turned on. The above-described light system may be used to provide lighting and signaling services, which may include, but is not limited to: head lamps, fog lamps, high beam lamps, tail lamps and backlight lamps.
In an alternative provided in the step S23, the initial state may be a state in which the light system of the vehicle is located before the state switching is performed on the light system of the vehicle, and the target state may be a state in which the light system of the vehicle is located corresponding to the analysis result (the light requirement of the vehicle at the current position). Specifically, for example, in an environment where the day and the weather are normal, the vehicle is running on a highway at a certain moment, and at this moment, the lighting system of the vehicle is all in an off state, and at the next moment, the vehicle is about to drive into a tunnel, and by analyzing the multi-dimensional environmental data of the vehicle, it can be determined that the target state of the lighting system of the vehicle is that the low beam is on.
In the embodiment of the invention, the multi-dimensional environment data is firstly obtained, wherein the multi-dimensional environment data is used for determining the light demand of the vehicle at the current position, then the multi-dimensional environment data is subjected to light demand analysis to obtain an analysis result, and finally, the light system of the vehicle is controlled to be switched from an initial state to a target state in response to the analysis result meeting target conditions, so that the aim of determining the accurate light demand based on the multi-dimensional environment data and intelligently controlling the light system of the vehicle is fulfilled, the technical effects of improving the intelligent level and the control accuracy of the method for controlling the light of the vehicle are realized, and the technical problems of low intelligent level and low light control accuracy of the method for controlling the light opening of the vehicle by adopting the sunlight and rainfall sensor to identify the light intensity in the prior art are further solved.
The above-described methods of embodiments of the present invention are further described below.
In an alternative embodiment, in step S21, the multi-dimensional environment data includes: image recognition data, weather data, and map data, the obtaining multi-dimensional environmental data comprising:
step S211, acquiring a real-time image and real-time weather of the current position, wherein the real-time image is acquired in real time by at least one image acquisition device equipped with the vehicle, and the real-time weather is issued in real time by a service end associated with the vehicle;
Step S212, performing image recognition on the real-time image to obtain image recognition data, wherein the image recognition data are used for determining ambient illumination information of the current position;
step S213, data screening is performed on the real-time weather to obtain meteorological data, wherein the meteorological data at least comprises: sunrise time, sunset time, air visibility, and weather type;
step S214, determining map data based on the current location and the preset map resource.
In an alternative provided in the foregoing steps S211 to S214, the image capturing device may include, but is not limited to: the real-time image can be a frame image of the video of the automobile data recorder at a moment corresponding to the current position of the automobile, or the real-time image can be an image of the video of the automobile data recorder at a moment corresponding to the current position of the automobile. The service end related to the vehicle can be a weather application program arranged in the vehicle media equipment, and the weather application program can determine weather data of the environment where the vehicle is located according to the position of the vehicle and the corresponding time. The ambient lighting information may include, but is not limited to: ambient light intensity, road vehicle light on state, street lamp on state. The preset map resource may be a map resource stored in a vehicle navigation system, or may be a map resource obtained by a positioning system (such as a global positioning system and a Beidou satellite positioning navigation system). The map data may be road condition data (e.g., tunnel road condition) related to the running of the vehicle.
The above method is further described below in conjunction with fig. 3.
FIG. 3 is a schematic diagram of a system for controlling vehicle lights according to an embodiment of the present invention, as shown in FIG. 3, an intelligent automatic light control perception fusion system 300 includes: the image data acquisition unit 301 may be used for performing perception learning on ambient light, road vehicle light, and street lamp; the meteorological data acquisition unit 302 may be used for acquiring sunrise time, sunset time, air visibility and extreme weather of the environment in which the vehicle is located; the map data collection unit 303 may be used to identify tunnel road conditions. The image data acquisition unit 301 senses the learned image data, the meteorological data acquired by the meteorological data acquisition unit 302 and the map data acquired by the map data acquisition unit 303 can form multi-dimensional environment data, and the intelligent automatic light control sensing fusion system 300 can comprehensively analyze the light demand of the vehicle according to the multi-dimensional environment data, so that a light control instruction can be generated based on the light demand and automatically executed, and intelligent and automatic light sensing and control of the vehicle are realized.
In an alternative embodiment, in step S22, the environmental light intensity analysis is performed on the multi-dimensional environmental data, where the analysis result includes:
Step S221, performing light intensity sensing on image identification data in the multi-dimensional environment data by using a target light intensity sensing model, and determining a first requirement parameter;
step S222, analyzing the light demand of meteorological data in the multi-dimensional environmental data, and determining a second demand parameter;
step S223, determining a third demand parameter according to the map data, wherein the third demand parameter is used for determining whether the current position is located in a preset dark area;
in step S224, an analysis result is obtained based on the first demand parameter, the second demand parameter and the third demand parameter.
In an alternative provided in the foregoing steps S221 to S224, the target light intensity sensing model may be a model obtained by training historical multi-dimensional environmental data of the vehicle. The first demand parameter may be used to represent a light demand corresponding to the image recognition data, the second demand parameter may be used to represent a light demand corresponding to the weather data, and the third demand parameter may be used to represent a light demand corresponding to the map data. The preset shade region may include, but is not limited to: tunnel and underground garage.
In an alternative embodiment, in step S221, the target light intensity perception model includes: the first perception sub-model, the second perception sub-model and the third perception sub-model are used for carrying out light intensity perception on image identification data in multi-dimensional environment data by using the target light intensity perception model, and determining the first requirement parameter comprises the following steps:
Step S2211, performing image gray level analysis on the image identification data by using a first perception sub-model to obtain a first light intensity parameter, wherein the first light intensity parameter is used for determining the ambient illumination intensity of the current position;
step S2212, analyzing the image identification data by using a second perception sub-model to obtain a second light intensity parameter, wherein the second light intensity parameter is used for determining the light opening conditions of other vehicles around the current position;
step S2213, analyzing the image identification data by using a third perception sub-model to obtain a third light intensity parameter, wherein the third light intensity parameter is used for determining the opening condition of the street lamp around the current position;
in step S2214, a first demand parameter is calculated based on the first light intensity parameter, the second light intensity parameter and the third light intensity parameter.
As an alternative embodiment, the first perception sub-model is an ambient light perception learning model, which can be used to analyze the gray scale value (denoted as N) of the video data obtained by the intelligent front-view camera to determine the first light intensity parameter C corresponding to the ambient light 1 Specifically, the model may be represented by the following formula (1):
in the above formula (1), N 1 、N 2 Can be a constant value of the gray value of the image preset by a technician, and the two satisfy N 2 >N 1 To achieve a certain return difference control.
As an alternative implementation manner, the second perception sub-model is an environmental lamp perception learning model, and the model can be used for analyzing the opening rate (marked as X) of the environmental lamp in the video data obtained by the intelligent front-view camera so as to determine a second light intensity parameter C corresponding to the environmental lamp 2 Specifically, the model may be represented by the following formula (2):
as an optional implementation manner, the third perception sub-model is an ambient streetlight perception learning model, and the model can be used for determining the number of videos obtained by the intelligent front-view cameraAccording to the opening state of the environmental street lamp, determining a third light intensity parameter C corresponding to the environmental street lamp 3 Specifically, the model may be represented by the following formula (3):
as an optional embodiment, the first requirement parameter B is determined based on the ambient light perception learning model, and the ambient light perception learning model shown in the foregoing embodiments 1 Can be represented by the following formula (4):
B 1 ＝C 1 +C 2 +C 3 formula (4)
In the above alternative embodiments, the following technical effects may be achieved: the accuracy of the lamplight requirements corresponding to the multi-dimensional light intensity data can be improved by comprehensively analyzing the collected multi-dimensional light intensity data (including the gray value of the video data, the opening rate of the environmental lamp and the opening state of the environmental lamp).
In an alternative embodiment, in step S222, performing light demand analysis on the meteorological data in the multi-dimensional environment data, and determining the second demand parameter includes:
step S2221, determining a first weather parameter based on the current time and the sunrise time and the sunset time in the weather data, wherein the first weather parameter is used for determining whether the current time is in the night;
step S2222, analyzing the air visibility in the meteorological data based on a plurality of preset visibility thresholds, and determining a second meteorological parameter, where the second meteorological parameter is used to determine a visibility level corresponding to the air visibility;
step S2223, analyzing the weather type in the weather data to determine a third weather parameter, wherein the third weather parameter is used for determining whether the weather type belongs to bad weather;
in step S2224, the second demand parameter is calculated based on the first weather parameter, the second weather parameter and the third weather parameter.
It should be noted that, when the current time is between the corresponding sunrise time and sunset time, the current time is considered to be white, otherwise, the current time is considered to be black.
As an alternative implementation, based on the acquired current time t and sunrise time t 1 Sunset time t 2 Determining a first meteorological parameter D 1 Can be represented by the following formula (5):
as an alternative embodiment, it is assumed that the plurality of preset visibility thresholds includes a first preset visibility P 1 Second preset visibility P 2 And both satisfy P 1 <P 2 It should be noted here that both may be used to characterize different visibility levels, e.g. a first preset visibility P 1 Representing low current visibility and second preset visibility P 2 Representing that the current visibility is high, and based on the first preset visibility P 1 Second preset visibility P 2 Analyzing the current visibility P to determine a second weather parameter D 2 Can be represented by the following formula (6):
as an alternative embodiment, it is assumed that the weather types include: the first weather type (snowy weather, foggy weather, rainy weather), the second weather type (non-snowy, foggy, rainy weather), and the current weather of the environment of the vehicle is analyzed based on the weather type to determine the third weather parameter D 3 Can be represented by the following formula (7):
as an alternative embodiment, the method is based on the first weather parameter D shown in the above embodiment 1 Second meteorological parameter D 2 Third meteorological parameter D 3 Determining a second demand parameter B 2 Can be represented by the following formula (8):
B 2 ＝D 1 +D 2 +D 3 formula (8)
In the technical solution provided in the present invention, it should be further noted that, as an optional implementation manner, assuming that the preset dark area is a tunnel road condition, the current position of the vehicle is analyzed based on map data to determine the third requirement parameter B 3 Can be represented by the following formula (9):
further, as an alternative embodiment, the first demand parameter B is based on 1 Second demand parameter B 2 Third demand parameter B 3 The analysis results in a comprehensive lighting demand parameter B of the vehicle as shown in the following formula (10):
B＝B 1 +B 2 +B 3 formula (10)
In the above alternative embodiments, the following technical effects may be achieved: the accuracy of the light requirements corresponding to the multi-dimensional meteorological data can be improved by comprehensively analyzing the collected multi-dimensional meteorological data (including the current time, the air visibility and the weather type of the current weather); and the comprehensive analysis of the multi-dimensional light intensity data, the multi-dimensional meteorological data and the map data can improve the accuracy of the comprehensive light demand of the vehicle, so that the light system of the vehicle can be accurately controlled.
In an alternative embodiment, in step S23, the lighting system of the vehicle includes at least a low beam, and controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result satisfying the target condition includes:
step S2311, in response to the analysis result being in the first numerical range, controlling the low beam lamp to switch from the initial state to the first target on state;
in step S2312, the dipped headlight is controlled to switch from the initial state to the off state in response to the analysis result being in the second range, wherein the value in the second range is smaller than the value in the first range.
In an alternative provided in the foregoing steps S2311 to S2312, the first numerical range corresponding to the analysis result may be that the integrated light demand parameter B meets b++1, and the first target on state may include, but is not limited to: the low beam is turned on, the brightness value of the low beam is adjusted, and the second range corresponding to the analysis result can be that the comprehensive light demand parameter B meets b=0.
As an alternative embodiment, assume that the multi-dimensional environmental data of the vehicle at a certain moment includes: the gray value of the image is smaller than the first preset gray value N 1 The opening rate of the environmental lamp is 20%, the environmental street lamp is in the off state, the current time is daytime, and the air visibility is smaller than the first preset visibility P 1 The current weather type is heavy fog weather, the vehicle is in a non-tunnel road condition, and the current comprehensive light demand parameter value of the vehicle is 4 based on the multidimensional environment data analysis, so that the current comprehensive light demand of the vehicle can be determined to meet the low beam starting condition, and the vehicle is controlled to automatically start the low beam.
In the technical scheme provided by the invention, the vehicle position lamp is automatically turned on while the vehicle dipped headlight is turned on.
In the above alternative embodiments, the following technical effects may be achieved: the multi-dimensional environment data of the vehicle is intelligently analyzed to accurately determine whether the vehicle has the requirement of low beam on or low beam off, so that the low beam on or off of the vehicle is automatically controlled, and the intelligent level and accuracy of controlling the low beam of the vehicle are improved.
In an alternative embodiment, in step S23, the lighting system of the vehicle further includes an in-vehicle backlight, and controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result satisfying the target condition includes:
Step S2321, in response to the analysis result being in the first numerical range, controlling the in-vehicle backlight to switch from the initial state to a first theme mode, wherein the first theme mode is a preset starting theme of the in-vehicle backlight when the vehicle runs at night;
step S2322, in response to the analysis result being in the second numerical range, controlling the in-vehicle backlight to switch from the initial state to a second theme mode, wherein the second theme model is a preset starting theme of the in-vehicle backlight when the vehicle is running for hundred days.
In an alternative scheme provided in the foregoing steps S2321 to S2322, the first numerical range corresponding to the analysis result may be that the comprehensive light demand parameter B satisfies B be greater than or equal to 1, the preset starting theme corresponding to the first theme mode may include that the instrument and the central control screen of the vehicle are in a theme mode suitable for night driving, the whole vehicle switch turns on the backlight, the second numerical range corresponding to the analysis result may be that the comprehensive light demand parameter B satisfies b=0, the preset starting theme corresponding to the second theme mode may include that the instrument and the central control screen of the vehicle are in a theme mode suitable for daytime driving, and the whole vehicle switch turns off the backlight.
As an alternative embodiment, assume that the multi-dimensional environmental data of the vehicle at a certain moment includes: the gray value of the image is larger than the second preset gray value N 2 The starting rate of the environmental lamp is 10%, the environmental street lamp is in a closed state, the current time is daytime, and the air visibility is larger than the third preset visibility P 3 The current weather type is normal weather, the vehicle is in a non-tunnel road condition, and the current comprehensive light demand parameter value of the vehicle is 0 based on the multidimensional environment data analysis, so that the current comprehensive light demand of the vehicle can be determined to meet the turning-off condition of the backlight in the vehicle, and the vehicle is controlled to automatically turn off the backlight in the vehicle.
It should be further noted that, while controlling the backlight of the vehicle, the turn-on requirements of the high beam of the vehicle may be analyzed based on meeting data (such as the position and distance of the front coming vehicle) collected by the vehicle adaptive high beam system (Adaptive Driving Beam, ADB), and when the multi-dimensional environmental data (including meeting data) of the vehicle satisfies both the backlight turn-on condition and the high beam turn-on condition, the backlight and the high beam are automatically controlled to turn on.
In the above alternative embodiments, the following technical effects may be achieved: the multi-dimensional environment data of the vehicle is intelligently analyzed to accurately determine whether the vehicle has a backlight on or off requirement, so that the backlight on or off of the vehicle is automatically controlled, and the intelligent level and accuracy of controlling the backlight of the vehicle are improved; and the fusion analysis and control of the multiple lights of the vehicle can be realized, so that the intelligent level of controlling the lights of the vehicle is improved.
In an alternative embodiment, in step S23, the lighting system of the vehicle further includes a fog lamp, and controlling the lighting system of the vehicle to switch to the target state in response to the analysis result satisfying the target condition includes:
step S2331, controlling the fog lamp to switch from the initial state to the second target on state in response to the analysis result being in the first numerical range and the second meteorological parameter being in the third numerical range;
step S2332, controlling the fog lamp to switch from the initial state to the off state in response to the analysis result being in the first numerical range and the second meteorological parameter being in the fourth numerical range, wherein the numerical value in the fourth numerical range is smaller than the numerical value in the third numerical range;
in step S2333, the fog lamp is controlled to switch from the initial state to the third target on state in response to the analysis result being in the first numerical range and the third weather parameter being in bad weather corresponding to the weather type.
In an alternative provided in the above steps S2331 to S2333, the first numerical range corresponding to the analysis result may be that the comprehensive lighting demand parameter B satisfies B be greater than or equal to 1, and the second meteorological parameter D 2 The corresponding third numerical range may be D 2 =2, the second meteorological parameter D 2 The corresponding fourth numerical range may be D 2 =0 or 1, the third meteorological parameter D 3 The corresponding inclement weather may include, but is not limited to:heavy rain weather, heavy fog weather, heavy snow weather,
as an alternative embodiment, assume that the multi-dimensional environmental data of the vehicle at a certain moment includes: the gray value of the image is smaller than the first preset gray value N 1 The opening rate of the environmental lamp is 20%, the environmental street lamp is in the off state, the current time is daytime, and the air visibility is smaller than the first preset visibility P 1 The current weather type is heavy fog weather, the vehicle is in a non-tunnel road condition, and the current comprehensive lamplight demand parameter value of the vehicle is 4 and the third meteorological parameter D is obtained based on the multidimensional environmental data analysis 3 =1, so that it can be determined that the current integrated light demand of the vehicle satisfies the low beam and fog lamp turning-on conditions, and further the vehicle is controlled to automatically turn on the low beam and fog lamp at the same time.
In the above alternative embodiments, the following technical effects may be achieved: the multi-dimensional environment data of the vehicle is intelligently analyzed to accurately determine whether the vehicle has the requirement of fusion starting of the dipped headlight and the fog lamp, so that the dipped headlight and the fog lamp of the vehicle are automatically controlled to be started (or closed), the fusion analysis and control of the multi-light of the vehicle can be realized, and the intelligent level and accuracy of controlling the light of the vehicle are improved.
In the technical scheme provided by the invention, the light state of the environment where the vehicle is positioned can be comprehensively and accurately analyzed by the intelligent front-view camera, weather application and navigation lamp multi-equipment fusion method, so that the light identification component in the vehicle sunlight and rainfall sensor can be canceled based on the method provided by the invention, thereby not only realizing the reduction of the configuration cost of the vehicle, but also improving the intelligent level and accuracy of the light control of the vehicle.
In this embodiment, a device for controlling light of a vehicle is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and the description is omitted herein. As used below, a combination of software and/or hardware that belongs to a "module" may implement a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Fig. 4 is a block diagram of an alternative apparatus for controlling light of a vehicle according to an embodiment of the present invention, as shown in fig. 4, the apparatus comprising:
according to another aspect of the embodiment of the present invention, there is also provided an apparatus for controlling light of a vehicle, including:
An obtaining module 401, configured to obtain multi-dimensional environmental data, where the multi-dimensional environmental data determines a light requirement for characterizing a current position of a vehicle;
the analysis module 402 is configured to perform light demand analysis on the multi-dimensional environmental data to obtain an analysis result;
a control module 403, configured to control the light system of the vehicle to switch from the initial state to the target state in response to the analysis result satisfying the target condition.
Optionally, the above-mentioned obtaining module 401 is further configured to: the multi-dimensional environmental data includes: image recognition data, weather data, and map data, the obtaining multi-dimensional environmental data comprising: acquiring a real-time image and real-time weather of a current position, wherein the real-time image is acquired in real time by at least one image acquisition device equipped with a vehicle, and the real-time weather is issued in real time by a service end associated with the vehicle; performing image recognition on the real-time image to obtain image recognition data, wherein the image recognition data are used for determining environment illumination information of the current position; and screening the real-time weather data to obtain meteorological data, wherein the meteorological data at least comprises: sunrise time, sunset time, air visibility, and weather type; map data is determined based on the current location and a preset map resource.
Optionally, the analysis module 402 is further configured to: performing an environmental light intensity analysis on the multi-dimensional environmental data to obtain an analysis result, wherein the analysis result comprises: performing light intensity sensing on image identification data in the multi-dimensional environment data by using a target light intensity sensing model, and determining a first requirement parameter; performing light demand analysis on meteorological data in the multi-dimensional environment data, and determining a second demand parameter; determining a third demand parameter according to the map data, wherein the third demand parameter is used for determining whether the current position is located in a preset dark area; and calculating to obtain an analysis result based on the first demand parameter, the second demand parameter and the third demand parameter.
Optionally, the analysis module 402 is further configured to: the target light intensity perception model comprises: the first perception sub-model, the second perception sub-model and the third perception sub-model are used for carrying out light intensity perception on image identification data in multi-dimensional environment data by using the target light intensity perception model, and determining the first requirement parameter comprises the following steps: performing image gray level analysis on the image identification data by using the first perception sub-model to obtain a first light intensity parameter, wherein the first light intensity parameter is used for determining the ambient illumination intensity of the current position; analyzing the image identification data by using the second perception sub-model to obtain a second light intensity parameter, wherein the second light intensity parameter is used for determining the light opening conditions of other vehicles around the current position; analyzing the image recognition data by using a third perception sub-model to obtain a third light intensity parameter, wherein the third light intensity parameter is used for determining the opening condition of the street lamp around the current position; and calculating to obtain a first demand parameter based on the first light intensity parameter, the second light intensity parameter and the third light intensity parameter.
Optionally, the analysis module 402 is further configured to: performing light demand analysis on meteorological data in the multi-dimensional environmental data, wherein determining the second demand parameter comprises: determining a first weather parameter based on the current time and sunrise time and sunset time in the weather data, wherein the first weather parameter is used for determining whether the current time is in the night; analyzing the air visibility in the meteorological data based on a plurality of preset visibility thresholds, and determining a second meteorological parameter, wherein the second meteorological parameter is used for determining a visibility level corresponding to the air visibility; analyzing the weather type in the weather data to determine a third weather parameter, wherein the third weather parameter is used for determining whether the weather type belongs to severe weather; the second demand parameter is calculated based on the first weather parameter, the second weather parameter, and the third weather parameter.
Optionally, the control module 403 is further configured to: the lighting system of the vehicle at least comprises a dipped headlight, and the controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result meeting the target condition comprises: controlling the dipped headlight to switch from the initial state to a first target on state in response to the analysis result being in the first numerical range; and controlling the dipped headlight to switch from the initial state to the off state in response to the analysis result being in a second numerical range, wherein the numerical value in the second numerical range is smaller than the numerical value in the first numerical range.
Optionally, the control module 403 is further configured to: the lighting system of the vehicle further includes an in-vehicle backlight, and controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result satisfying the target condition includes: responding to the analysis result in a first numerical range, and controlling the in-vehicle backlight to switch from an initial state to a first theme mode, wherein the first theme mode is a preset starting theme of the in-vehicle backlight when the vehicle runs at night; and controlling the in-vehicle backlight to switch from the initial state to a second theme mode in response to the analysis result being in the second numerical range, wherein the second theme model is a preset starting theme of the in-vehicle backlight when the vehicle runs for hundred days.
Optionally, the control module 403 is further configured to: the lighting system of the vehicle further includes a fog lamp, and controlling the lighting system of the vehicle to switch to the target state in response to the analysis result satisfying the target condition includes: controlling the fog lamp to switch from the initial state to a second target on state in response to the analysis result being in the first numerical range and the second meteorological parameter being in the third numerical range; controlling the fog lamp to switch from an initial state to an off state in response to the analysis result being in the first numerical range and the second meteorological parameter being in the fourth numerical range, wherein the numerical value in the fourth numerical range is smaller than the numerical value in the third numerical range; and controlling the fog lamp to switch from the initial state to a third target on state in response to the analysis result being in the first numerical range and the third meteorological parameter belonging to bad weather corresponding to the weather type.
It should be noted that each of the above modules may be implemented by software or hardware, and for the latter, it may be implemented by, but not limited to: the modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.
According to yet another aspect of an embodiment of the present invention, there is also provided a vehicle including an on-board memory having a computer program stored therein and an on-board processor configured to run the computer program to perform the method of controlling the light of the vehicle of any one of the preceding claims.
Alternatively, in the present embodiment, the above-described in-vehicle memory may be configured to store a computer program for executing the steps of:
step S1, multi-dimensional environment data are obtained, wherein the multi-dimensional environment data are used for determining the light requirements of a vehicle at the current position;
s2, carrying out light demand analysis on the multi-dimensional environmental data to obtain an analysis result;
and step S3, controlling the lamplight system of the vehicle to switch from the initial state to the target state in response to the analysis result meeting the target condition.
Alternatively, in the present embodiment, the above-mentioned on-vehicle memory may include, but is not limited to: a usb disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media in which a computer program can be stored.
Alternatively, in the present embodiment, the above-described in-vehicle processor may be configured to execute the following steps by a computer program:
step S1, multi-dimensional environment data are obtained, wherein the multi-dimensional environment data are used for determining the light requirements of a vehicle at the current position;
s2, carrying out light demand analysis on the multi-dimensional environmental data to obtain an analysis result;
and step S3, controlling the lamplight system of the vehicle to switch from the initial state to the target state in response to the analysis result meeting the target condition.
Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments and alternative implementations thereof, and this embodiment is not described herein.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present invention, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims (10)

1. A method of controlling vehicle lighting, comprising:
acquiring multi-dimensional environment data, wherein the multi-dimensional environment data is used for determining the light demand of a vehicle at the current position;
carrying out light demand analysis on the multi-dimensional environmental data to obtain an analysis result;
and controlling a lighting system of the vehicle to switch from an initial state to a target state in response to the analysis result meeting a target condition.
2. The method of claim 1, wherein the multi-dimensional environmental data comprises: image recognition data, weather data, and map data, the obtaining multi-dimensional environmental data comprising:
acquiring a real-time image and real-time weather of the current position, wherein the real-time image is acquired in real time by at least one image acquisition device equipped with the vehicle, and the real-time weather is issued in real time by a server associated with the vehicle;
Performing image recognition on the real-time image to obtain image recognition data, wherein the image recognition data are used for determining environment illumination information of the current position;
and screening the real-time weather data to obtain the meteorological data, wherein the meteorological data at least comprises: sunrise time, sunset time, air visibility, and weather type;
and determining the map data based on the current position and a preset map resource.
3. The method of claim 2, wherein performing an ambient light intensity analysis on the multi-dimensional ambient data to obtain an analysis result comprises:
performing light intensity sensing on the image identification data in the multi-dimensional environment data by using a target light intensity sensing model, and determining a first requirement parameter;
performing light demand analysis on the meteorological data in the multi-dimensional environment data to determine a second demand parameter;
determining a third demand parameter according to the map data, wherein the third demand parameter is used for determining whether the current position is located in a preset dark area or not;
and calculating to obtain the analysis result based on the first demand parameter, the second demand parameter and the third demand parameter.
4. A method according to claim 3, wherein the target light intensity perception model comprises: the first perception sub-model, the second perception sub-model and the third perception sub-model are used for carrying out light intensity perception on the image identification data in the multi-dimensional environment data by utilizing a target light intensity perception model, and determining the first requirement parameter comprises the following steps:
performing image gray level analysis on the image identification data by using the first perception sub-model to obtain a first light intensity parameter, wherein the first light intensity parameter is used for determining the ambient illumination intensity of the current position;
analyzing the image identification data by using the second perception sub-model to obtain a second light intensity parameter, wherein the second light intensity parameter is used for determining the light opening conditions of other vehicles around the current position;
analyzing the image identification data by using the third perception sub-model to obtain a third light intensity parameter, wherein the third light intensity parameter is used for determining the opening condition of the street lamps around the current position;
and calculating the first demand parameter based on the first light intensity parameter, the second light intensity parameter and the third light intensity parameter.
5. A method according to claim 3, wherein performing a light demand analysis on the meteorological data in the multi-dimensional environmental data, determining a second demand parameter comprises:
determining a first weather parameter based on a current time and the sunrise time and the sunset time in the weather data, wherein the first weather parameter is used for determining whether the current time is in the night;
analyzing the air visibility in the meteorological data based on a plurality of preset visibility thresholds, and determining a second meteorological parameter, wherein the second meteorological parameter is used for determining a visibility level corresponding to the air visibility;
analyzing the weather type in the meteorological data to determine a third meteorological parameter, wherein the third meteorological parameter is used for determining whether the weather type belongs to severe weather or not;
the second demand parameter is calculated based on the first weather parameter, the second weather parameter, and the third weather parameter.
6. The method of claim 5, wherein the lighting system of the vehicle includes at least a low beam, and wherein controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result satisfying the target condition comprises:
Controlling the dipped headlight to switch from an initial state to a first target on state in response to the analysis result being in a first numerical range;
and controlling the dipped headlight to switch from an initial state to a closed state in response to the analysis result being in a second numerical range, wherein the numerical value in the second numerical range is smaller than the numerical value in the first numerical range.
7. The method of claim 6, wherein the lighting system of the vehicle further comprises an in-vehicle backlight, and wherein controlling the lighting system of the vehicle to switch from the initial state to the target state in response to the analysis result satisfying the target condition comprises:
controlling the in-vehicle backlight to switch from an initial state to a first theme mode in response to the analysis result being in the first numerical range, wherein the first theme mode is a preset starting theme of the in-vehicle backlight when the vehicle runs at night;
and controlling the in-vehicle backlight to switch from an initial state to a second theme mode in response to the analysis result being in the second numerical range, wherein the second theme model is a preset starting theme of the in-vehicle backlight when the vehicle runs for hundred days.
8. The method of claim 6, wherein the lighting system of the vehicle further comprises a fog light, and wherein controlling the lighting system of the vehicle to switch to the target state in response to the analysis result satisfying the target condition comprises:
controlling the fog lamp to be switched from an initial state to a second target on state in response to the analysis result being in the first numerical range and the second meteorological parameter being in a third numerical range;
controlling the fog lamp to switch from an initial state to an off state in response to the analysis result being in the first numerical range and the second meteorological parameter being in a fourth numerical range, wherein the numerical value in the fourth numerical range is smaller than the numerical value in the third numerical range;
and controlling the fog lamp to switch from an initial state to a third target on state in response to the analysis result being in the first numerical range and the third meteorological parameter belonging to severe weather corresponding to the weather type.
9. An apparatus for controlling light of a vehicle, comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring multi-dimensional environment data, and the multi-dimensional environment data determines the light requirement of a representation vehicle at the current position;
The analysis module is used for carrying out light demand analysis on the multi-dimensional environment data to obtain an analysis result;
and the control module is used for responding to the analysis result to meet the target condition and controlling the lamplight system of the vehicle to switch from the initial state to the target state.
10. A vehicle comprising an on-board memory and an on-board processor, wherein the on-board memory has a computer program stored therein, the on-board processor being arranged to run the computer program to perform the method of controlling vehicle lights of any one of claims 1 to 8.
CN202310679268.1A 2023-06-08 2023-06-08 Method and device for controlling vehicle light and vehicle Pending CN116674461A (en)

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