Vehicle light control method and system and storage medium

Abstract

The invention discloses a vehicle light control method, a vehicle light control system and a storage medium, and relates to the technical field of driving safety, and the method comprises the steps: monitoring the environment variable of a night driving vehicle through an environment monitoring sensor equipped on the vehicle; comparing the environment variable with a preset environment variable threshold value; and according to the comparison result, light parameters of the vehicle are controlled. The control operation of the light parameters can be turning on a vehicle lamp, turning off the vehicle lamp, and prompting high and low beams in a staggered manner. The environment monitoring sensor can be a light intensity sensor, an out-of-vehicle camera and the like. According to the vehicle light control method, the vehicle light control system and the storage medium provided by the invention, by using an automatic means, the driving intensity of a user is reduced, and the night road traffic safety is improved.

Description

Technical Field

[0001] The present application relates to the field of driving safety technology, and in particular to a vehicle lighting control method, a vehicle lighting control system, and a storage medium. Background Art

[0002] When a car is driving on a road with insufficient lighting at night, if it encounters an oncoming vehicle using high beams, the driver will suffer temporary blindness, which is extremely harmful to road safety and can easily cause traffic accidents.

[0003] According to relevant reports and investigations, the uncivilized driving behavior of abusing high beams is very common and has become one of the most hated traffic habits by traffic participants; and in the statistics of night traffic accidents, most accidents are also related to the abuse of high beams.

[0004] Patent CN202210851554.7 utilizes vehicle-road collaboration technology to automatically switch between high and low beam headlights when there are vehicles traveling in the same direction. Patent CN202211264277.6 collects oncoming vehicle light data, clusters and calculates light intensity, and then generates voice alarms and takes photos based on intensity. Existing technical solutions do not address the civilized use of headlights during nighttime driving. Drivers are required to manually adjust headlights in major dangerous situations, such as meeting other vehicles and passing intersections. Summary of the Invention

[0005] The purpose of the present invention is to provide a vehicle lighting control method, system and storage medium, which can reduce the user's driving intensity and improve nighttime road traffic safety by using automated means.

[0006] The present invention provides the following solutions:

[0007] According to one aspect of the present invention, a vehicle lighting control method is provided, the vehicle lighting control method comprising:

[0008] Utilize the environmental monitoring sensors equipped on vehicles to monitor environmental variables of vehicles driving at night;

[0009] Compare the environment variable with a preset environment variable threshold;

[0010] According to the comparison results, the lighting parameters of the vehicle are controlled.

[0011] Optionally, the environmental monitoring sensors equipped in the vehicle can be used to monitor environmental variables of the vehicle during nighttime driving, including:

[0012] Use the light intensity sensor on the car to collect the light intensity outside the car;

[0013] Compares environment variables to preset environment variable thresholds, including:

[0014] Compare the collected light intensity outside the vehicle with the set light intensity threshold;

[0015] Based on the comparison results, the vehicle's lighting parameters are controlled, including:

[0016] If the light intensity outside the vehicle is less than the light intensity threshold, turn on the vehicle lights;

[0017] If the light intensity outside the vehicle is greater than the light intensity threshold, turn off the vehicle lights.

[0018] Optionally, the environmental monitoring sensors equipped in the vehicle can be used to monitor environmental variables of the vehicle during nighttime driving, including:

[0019] Use the camera outside the vehicle to detect the light intensity of oncoming vehicles;

[0020] Compares environment variables to preset environment variable thresholds, including:

[0021] Compare the oncoming vehicle light intensity with the oncoming vehicle light intensity threshold;

[0022] Based on the comparison results, the vehicle's lighting parameters are controlled, including:

[0023] If the oncoming vehicle's light intensity is greater than the oncoming vehicle's light intensity threshold, the high and low beam lights will flash alternately;

[0024] If the oncoming vehicle light intensity is less than the oncoming vehicle light intensity threshold, restore the original light state.

[0025] Optionally, the environmental monitoring sensors equipped in the vehicle can be used to monitor environmental variables of the vehicle during nighttime driving, including:

[0026] Use the external camera to detect the probability of an intersection in front of the vehicle;

[0027] Among them, the external camera of the vehicle has a built-in image detection algorithm;

[0028] Compares environment variables to preset environment variable thresholds, including:

[0029] Compare the probability of an intersection appearing in front of the vehicle with the set intersection probability threshold;

[0030] Based on the comparison results, the vehicle's lighting parameters are controlled, including:

[0031] If the probability of an intersection in front of the vehicle is greater than the set intersection probability threshold, the high and low beams will flash alternately;

[0032] If the probability of an intersection appearing in front of the vehicle is less than the set intersection probability threshold, the light returns to its original state.

[0033] Optionally, the environmental monitoring sensors equipped in the vehicle can be used to monitor environmental variables of the vehicle during nighttime driving, including:

[0034] Use the external camera to detect the probability of pedestrians appearing in front of the vehicle;

[0035] Among them, the external camera of the vehicle has a built-in image detection algorithm;

[0036] Compares environment variables to preset environment variable thresholds, including:

[0037] Compare the probability of a pedestrian appearing at the intersection ahead of the vehicle with the set pedestrian probability threshold;

[0038] Based on the comparison results, the vehicle's lighting parameters are controlled, including:

[0039] If the probability of a pedestrian appearing at the intersection ahead of the vehicle is greater than the set pedestrian probability threshold, the low beam headlights are turned on;

[0040] If the probability of a pedestrian appearing at the intersection ahead of the vehicle is less than the set pedestrian probability threshold, the light returns to its original state.

[0041] Optionally, the environmental monitoring sensors equipped in the vehicle can be used to monitor environmental variables of the vehicle during nighttime driving, including:

[0042] Use the external camera to detect the probability of a face appearing in front of the vehicle;

[0043] Among them, the external camera of the vehicle has a built-in image detection algorithm;

[0044] Compares environment variables to preset environment variable thresholds, including:

[0045] Compare the probability of a face appearing in front of the vehicle with the set face probability threshold;

[0046] Based on the comparison results, the vehicle's lighting parameters are controlled, including:

[0047] If the probability of a face appearing in front of the vehicle is greater than the set face probability threshold, the low beam headlights are turned on;

[0048] If the probability of a face appearing in front of the vehicle is less than the set face probability threshold, the light returns to its original state.

[0049] Optionally, the execution process of the method is repeated and iterated according to a set cycle period.

[0050] Optionally, also include:

[0051] According to the current vehicle speed, the cycle period of the loop execution is dynamically adjusted.

[0052] According to a second aspect of the present invention, a vehicle lighting control system is provided, the vehicle lighting control system comprising:

[0053] A monitoring module is used to monitor environmental variables of vehicles traveling at night using environmental monitoring sensors equipped on the vehicle;

[0054] A comparison module, for comparing an environmental variable with a preset environmental variable threshold;

[0055] The control module is used to control the lighting parameters of the vehicle according to the comparison result.

[0056] According to three aspects of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the vehicle light control method as described above is implemented.

[0057] Through the above solution, the following beneficial technical effects are achieved:

[0058] The technical solution of this application makes it possible to eliminate the need for manual adjustment of high and low beams in nighttime meeting scenes, and to pass intersections at night. When encountering pedestrians at night, the light intensity and angle can be automatically adjusted. In short, by using automated means, the user's driving intensity is reduced and nighttime road traffic safety is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention;

[0060] Figure 2 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention;

[0061] Figure 3 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention;

[0062] Figure 4 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention;

[0063] Figure 5 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention;

[0064] Figure 6 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention;

[0065] Figure 7 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention;

[0066] Figure 8 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention;

[0067] Figure 9 is a structural diagram of a vehicle lighting control system provided by one or more embodiments of the present invention. DETAILED DESCRIPTION

[0068] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0069] Figure 1 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention. Figure 1 , the vehicle lighting control method includes the following steps:

[0070] S11, using the environmental monitoring sensors equipped on the vehicle to monitor environmental variables of the vehicle when it is driving at night.

[0071] S12, comparing the environmental variable with a preset environmental variable threshold.

[0072] S13, controlling the lighting parameters of the vehicle according to the comparison result.

[0073] When driving at night, you may encounter the following situations:

[0074] When meeting other vehicles at night, drivers need to manually adjust the high and low beams, often switching between high and low beams frequently. Forgetting to manually adjust the high and low beams when passing through intersections at night can create safety hazards. Furthermore, when encountering pedestrians during nighttime driving, the car needs to automatically adjust the light intensity and angle to avoid glare.

[0075] In order to solve these problems of driving at night and improve the safety of driving at night, this embodiment provides a solution.

[0076] In this solution, safety environment monitoring sensors are first installed on the vehicle, and then the surrounding environment is monitored using environmental monitoring sensors.

[0077] Monitoring the surrounding environment through sensors is the monitoring of specific environmental variables.

[0078] For example, when driving at night, lighting conditions are a very important environmental variable. The most important variable that characterizes the ambient lighting conditions is light intensity. Therefore, a light intensity sensor can be installed on the vehicle to monitor the ambient light intensity.

[0079] After completing the monitoring of the environmental variables, it is necessary to compare the monitored environmental variables with the pre-set environmental variable thresholds, and then determine the direction of the next control action based on the comparison results.

[0080] For example, if the ambient light intensity is sufficient, the vehicle's headlights may need to be dimmed to prevent the driver from feeling that the surroundings are too bright. If the ambient light intensity is insufficient, the headlights may need to be dimmed to allow the driver to clearly identify surrounding objects.

[0081] Figure 2 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention. Figure 2 , the vehicle lighting control method includes the following steps:

[0082] S21, using a light intensity sensor on the vehicle to collect light intensity outside the vehicle.

[0083] S22, comparing the collected light intensity outside the vehicle with a set light intensity threshold.

[0084] S23: If the light intensity outside the vehicle is less than the light intensity threshold, turn on the vehicle lights.

[0085] S24: If the light intensity outside the vehicle is greater than the light intensity threshold, turn off the vehicle lights.

[0086] In this embodiment, the sensor provided on the vehicle is a light intensity sensor. Moreover, the light intensity sensor is used to detect the light intensity outside the vehicle, and the detection result has no direct correlation with the light intensity inside the vehicle.

[0087] After the light intensity outside the vehicle is collected, the collected light intensity is compared with a preset light intensity threshold.

[0088] After comparison, if the light intensity outside the vehicle is less than the preset light intensity threshold, the vehicle lights should be turned on to increase the brightness of the environment. If the light intensity outside the vehicle is greater than the light intensity threshold, it means that the brightness of the environment is sufficient and the lights should be turned off.

[0089] Figure 3 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention. Figure 3, the vehicle lighting control method includes the following steps:

[0090] S31 uses an external camera to detect the light intensity of oncoming vehicles.

[0091] S32, comparing the light intensity of the oncoming vehicle with a light intensity threshold of the oncoming vehicle.

[0092] S33: If the oncoming vehicle light intensity is greater than the oncoming vehicle light intensity threshold, start alternating flashing of the high and low beam lights.

[0093] S34: If the oncoming vehicle light intensity is less than the oncoming vehicle light intensity threshold, restore the original light state.

[0094] In this embodiment, the sensor provided on the vehicle is an exterior camera, which is used to detect the light intensity of oncoming vehicles.

[0095] The purpose of the solution provided by this embodiment is to remind the oncoming vehicle to reduce the light intensity when the light intensity of the oncoming vehicle is too strong.

[0096] The reason for the reminder is easy to understand. If the light intensity of the oncoming vehicle is too high, it can easily cause dizziness to the driver, affecting driving safety and even causing traffic accidents.

[0097] Therefore, in this embodiment, an external camera is used to detect the light intensity of oncoming vehicles. When the light intensity of the oncoming vehicle is greater than the preset light intensity threshold of the oncoming vehicle, the staggered flashing functions such as high and low beams are turned on to prompt the oncoming vehicle and reduce the light intensity.

[0098] If the light intensity of the oncoming vehicle is less than the threshold value after detection, there is no need to warn the driver of the oncoming vehicle. In this case, the staggered flashing function should no longer be used, and the original light state can be restored.

[0099] Figure 4 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention. Figure 4 , the vehicle lighting control method includes the following steps:

[0100] S41, using an external camera to detect the probability of an intersection appearing in front of the vehicle.

[0101] S42, comparing the probability of an intersection appearing in front of the vehicle with a set intersection probability threshold.

[0102] S43: If the probability of an intersection appearing in front of the vehicle is greater than a set intersection probability threshold, the high and low headlights are flashed alternately.

[0103] S44: If the probability of an intersection appearing in front of the vehicle is less than the set intersection probability threshold, the light returns to its original state.

[0104] Intersections are one of the most common places for traffic accidents. Therefore, when there is an intersection ahead of your vehicle, you should turn on the staggered high and low beam function to alert surrounding traffic participants that there is a vehicle that needs to pass and to pay attention to safety.

[0105] The judgment of whether there is an intersection ahead is obtained by analyzing the images collected by the camera outside the vehicle.

[0106] Typically, images collected from different intersections can be fed into a CNN model to be trained. After training, the trained CNN model can be used to identify intersections.

[0107] The recognition result of whether an intersection occurs is determined based on the probability output by the image analysis algorithm.

[0108] For example, a trained CNN model, after receiving a recognized image, outputs a probability of whether the image contains an intersection. This probability is compared with a preset probability to determine the next control action.

[0109] Typically, the control operation is determined by: when the model output probability is greater than a preset probability threshold, the lights flash in a staggered manner to alert other road users. If the probability is less than the preset threshold, the lights do not flash in a staggered manner and return to normal operation.

[0110] Figure 5 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention. Figure 5 , the vehicle lighting control method includes the following steps:

[0111] S51, using an external camera to detect the probability of a pedestrian appearing in front of the vehicle.

[0112] S52: Compare the probability of a pedestrian appearing at the intersection ahead of the vehicle with a set pedestrian probability threshold.

[0113] S53: If the probability of a pedestrian appearing at the intersection ahead of the vehicle is greater than a set pedestrian probability threshold, the low beam headlights are turned on.

[0114] S54: If the probability of a pedestrian appearing at the intersection ahead of the vehicle is less than the set pedestrian probability threshold, the light returns to its original state.

[0115] When encountering pedestrians at an intersection, the vehicle should turn on the low beam and turn off the high beam to avoid dazzling the pedestrians and causing traffic accidents.

[0116] Identifying whether there are pedestrians at the intersection ahead of the vehicle is also achieved through image recognition.

[0117] First, an external camera captures an image in front of the vehicle. An image recognition algorithm then runs on this image to identify the presence of a pedestrian at the intersection ahead of the vehicle. This probability is then compared with a pre-set probability threshold to determine the appropriate control measures.

[0118] If the output probability of the image recognition algorithm is greater than the set pedestrian probability threshold, the low beam headlights should be turned on immediately. If the output probability of the image recognition algorithm is less than the set pedestrian probability threshold, the lights should be restored to their original state.

[0119] The above image recognition algorithm can be a convolutional neural network.

[0120] Figure 6 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention. Figure 6 , the vehicle lighting control method includes the following steps:

[0121] S61 uses an external camera to detect the probability of a human face appearing in front of the vehicle.

[0122] S62: Compare the probability of a human face appearing in front of the vehicle with a set face probability threshold.

[0123] S63: If the probability of a face appearing in front of the vehicle is greater than a set face probability threshold, turn on the low beam headlights.

[0124] S64: If the probability of a face appearing in front of the vehicle is less than the set face probability threshold, the light returns to its original state.

[0125] When a face appears in an image captured by an external camera, it indicates that a pedestrian has appeared in front of the vehicle. In this case, it is necessary to turn on the low beam headlights to avoid using the high beam headlights, which will dazzle the pedestrian and cause traffic accidents.

[0126] The method for detecting the presence of a face is still through the image method. That is, the image in front of the vehicle is captured by the external camera, and then image recognition is performed on the image to output the probability of whether a face is present.

[0127] Image recognition algorithms, or image analysis algorithms, can use convolutional neural networks.

[0128] After determining the probability of a face appearing in the image, the algorithm compares this probability with a preset face probability threshold. If the algorithm outputs a probability greater than the threshold, the low-beam headlights should be immediately turned on. If the algorithm outputs a probability less than the threshold, the headlights should be restored to their original state.

[0129] Figure 7 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention. Figure 7 , the vehicle lighting control method includes the following steps:

[0130] S71, using the environmental monitoring sensors equipped on the vehicle to monitor environmental variables of the vehicle when it is traveling at night.

[0131] S72: Compare the environmental variable with a preset environmental variable threshold.

[0132] S73: Control the vehicle's lighting parameters based on the comparison result.

[0133] S74, dynamically adjusting the cycle period of the loop execution according to the current vehicle speed.

[0134] This embodiment differs from the previous embodiments of the present invention in that the environmental variable monitoring, threshold comparison, and lighting parameter control process in this embodiment are executed in a cyclical manner. That is, after each lighting parameter control based on the comparison results is completed, the process returns to the environmental variable monitoring step.

[0135] The advantage of executing the above process cyclically is that the surrounding environmental variables can be continuously monitored in real time while the vehicle is driving, thereby controlling the lighting parameters in real time.

[0136] Furthermore, the cycle period of the loop execution can be adjusted according to the current vehicle speed. If the vehicle speed is relatively fast, the cycle period parameter can be adjusted to be smaller; if the vehicle speed is relatively slow, the cycle period parameter can be adjusted to be larger.

[0137] Figure 8 is a flow chart of a vehicle lighting control method provided by one or more embodiments of the present invention. Figure 8 , the vehicle lighting control method includes the following steps:

[0138] S81, sunlight collection.

[0139] S82: Light level is low and headlights are off. Turn on headlights.

[0140] S83, the camera module takes photos.

[0141] S84: For oncoming vehicles, the light intensity increases, and the high and low beams flash to prompt the other party to switch to low beam. After the vehicle is passed, the light status is restored to high and low beam.

[0142] S85, identifies the intersection and pedestrians by using low beam headlights, reduces the vehicle speed, and restores the lighting settings after passing the intersection.

[0143] S86, when detecting a narrow road and oncoming pedestrians, uses low beam headlights, reduces speed, and restores headlights after passing the pedestrians.

[0144] S87: When no pedestrians are passing through the intersection, the high and low beams flash to alert surrounding vehicles. After passing the intersection, the high and low beams are restored to their normal state.

[0145] Figure 9 This is a structural diagram of a vehicle lighting control system provided by one or more embodiments of the present invention. Figure 9 , the vehicle lighting control system includes:

[0146] The monitoring module 91 is used to monitor environmental variables of the vehicle when it is traveling at night using the environmental monitoring sensors equipped on the vehicle.

[0147] The comparison module 92 is used to compare the environmental variable with a preset environmental variable threshold.

[0148] The control module 93 is used to control the lighting parameters of the vehicle according to the comparison result.

[0149] Optionally, the monitoring module 91 is specifically configured to:

[0150] Use the light intensity sensor on the car to collect the light intensity outside the car;

[0151] The comparison module 92 is specifically used for:

[0152] Compare the collected light intensity outside the vehicle with the set light intensity threshold;

[0153] The control module 93 is specifically used for:

[0154] If the light intensity outside the vehicle is less than the light intensity threshold, turn on the vehicle lights;

[0155] If the light intensity outside the vehicle is greater than the light intensity threshold, turn off the vehicle lights.

[0156] Optionally, the monitoring module 91 is specifically configured to:

[0157] Use the camera outside the vehicle to detect the light intensity of oncoming vehicles;

[0158] The comparison module 92 is specifically used for:

[0159] Compare the oncoming vehicle light intensity with the oncoming vehicle light intensity threshold;

[0160] The control module 93 is specifically used for:

[0161] If the oncoming vehicle's light intensity is greater than the oncoming vehicle's light intensity threshold, the high and low beam lights will flash alternately;

[0162] If the oncoming vehicle light intensity is less than the oncoming vehicle light intensity threshold, restore the original light state.

[0163] Optionally, the monitoring module 91 is specifically configured to:

[0164] Use the external camera to detect the probability of an intersection in front of the vehicle;

[0165] Among them, the external camera of the vehicle has a built-in image detection algorithm;

[0166] The comparison module 92 is specifically used for:

[0167] Compare the probability of an intersection appearing in front of the vehicle with the set intersection probability threshold;

[0168] The control module 93 is specifically used for:

[0169] If the probability of an intersection in front of the vehicle is greater than the set intersection probability threshold, the high and low beams will flash alternately;

[0170] If the probability of an intersection appearing in front of the vehicle is less than the set intersection probability threshold, the light returns to its original state.

[0171] Optionally, the monitoring module 91 is specifically configured to:

[0172] Use the external camera to detect the probability of pedestrians appearing in front of the vehicle;

[0173] Among them, the external camera of the vehicle has a built-in image detection algorithm;

[0174] The comparison module 92 is specifically used for:

[0175] Compare the probability of a pedestrian appearing at the intersection ahead of the vehicle with the set pedestrian probability threshold;

[0176] The control module 93 is specifically used for:

[0177] If the probability of a pedestrian appearing at the intersection ahead of the vehicle is greater than the set pedestrian probability threshold, the low beam headlights are turned on;

[0178] If the probability of a pedestrian appearing at the intersection ahead of the vehicle is less than the set pedestrian probability threshold, the light returns to its original state.

[0179] Optionally, the monitoring module 91 is specifically configured to:

[0180] Use the external camera to detect the probability of a face appearing in front of the vehicle;

[0181] Among them, the external camera of the vehicle has a built-in image detection algorithm;

[0182] The comparison module 92 is specifically used for:

[0183] Compare the probability of a face appearing in front of the vehicle with the set face probability threshold;

[0184] The control module 93 is specifically used for:

[0185] If the probability of a face appearing in front of the vehicle is greater than the set face probability threshold, the low beam headlights are turned on;

[0186] If the probability of a face appearing in front of the vehicle is less than the set face probability threshold, the light returns to its original state.

[0187] Optionally, the execution process of the method is repeated and iterated according to a set cycle period.

[0188] Optionally, also include:

[0189] The dynamic adjustment module 94 is used to dynamically adjust the cycle period of the cyclic execution according to the current driving speed of the vehicle.

[0190] It is worth noting that although only some basic functional modules are disclosed in the embodiment of the present invention, it does not mean that the composition of the present system is limited to the above basic functional modules. On the contrary, what this embodiment wants to express is that on the basis of the above basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with the existing technology to form an infinite number of embodiments or technical solutions. In other words, this system is open rather than closed. Just because this embodiment only discloses individual basic functional modules, it cannot be considered that the scope of protection of the claims of the present invention is limited to the disclosed basic functional modules. At the same time, for the convenience of description, the above devices are described in terms of functions, which are divided into various units and modules. Of course, when implementing the present invention, the functions of each unit and module can be implemented in the same or one or more software and / or hardware.

[0191] The present invention also provides a computer-readable storage medium, comprising: a computer program that can be executed by a vehicle is stored therein, and when the computer program is run on the vehicle, the vehicle executes the steps of the vehicle monitoring method.

[0192] Specifically, the computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in combination with an instruction execution system, device or device.

[0193] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A vehicle lighting control method, characterized in that: The vehicle lighting control method comprises: Utilize the environmental monitoring sensors equipped on vehicles to monitor environmental variables of vehicles driving at night; Compare the environment variable with a preset environment variable threshold; According to the comparison results, the lighting parameters of the vehicle are controlled.

2. The method according to claim 1, characterized in that The environmental monitoring sensors equipped on the vehicle are used to monitor the environmental variables of the vehicle driving at night, including: Use the light intensity sensor on the car to collect the light intensity outside the car; Compares environment variables to preset environment variable thresholds, including: Compare the collected light intensity outside the vehicle with the set light intensity threshold; Based on the comparison results, the vehicle's lighting parameters are controlled, including: If the light intensity outside the vehicle is less than the light intensity threshold, turn on the vehicle lights; If the light intensity outside the vehicle is greater than the light intensity threshold, turn off the vehicle lights.

3. The method according to claim 1, characterized in that The environmental monitoring sensors equipped on the vehicle are used to monitor the environmental variables of the vehicle driving at night, including: Use the camera outside the vehicle to detect the light intensity of oncoming vehicles; Compares environment variables to preset environment variable thresholds, including: Compare the oncoming vehicle light intensity with the oncoming vehicle light intensity threshold; Based on the comparison results, the vehicle's lighting parameters are controlled, including: If the oncoming vehicle's light intensity is greater than the oncoming vehicle's light intensity threshold, the high and low beam lights will flash alternately; If the oncoming vehicle light intensity is less than the oncoming vehicle light intensity threshold, restore the original light state.

4. The method according to claim 1, wherein The environmental monitoring sensors equipped on the vehicle are used to monitor the environmental variables of the vehicle driving at night, including: Use the external camera to detect the probability of an intersection in front of the vehicle; Among them, the external camera of the vehicle has a built-in image detection algorithm; Compares environment variables to preset environment variable thresholds, including: Compare the probability of an intersection appearing in front of the vehicle with the set intersection probability threshold; Based on the comparison results, the vehicle's lighting parameters are controlled, including: If the probability of an intersection in front of the vehicle is greater than the set intersection probability threshold, the high and low beams will flash alternately; If the probability of an intersection appearing in front of the vehicle is less than the set intersection probability threshold, the light returns to its original state.

5. The method according to claim 1, wherein The environmental monitoring sensors equipped on the vehicle are used to monitor the environmental variables of the vehicle driving at night, including: Use the external camera to detect the probability of pedestrians appearing in front of the vehicle; Among them, the external camera of the vehicle has a built-in image detection algorithm; Compares environment variables to preset environment variable thresholds, including: Compare the probability of a pedestrian appearing at the intersection ahead of the vehicle with the set pedestrian probability threshold; Based on the comparison results, the vehicle's lighting parameters are controlled, including: If the probability of a pedestrian appearing at the intersection ahead of the vehicle is greater than the set pedestrian probability threshold, the low beam headlights are turned on; If the probability of a pedestrian appearing at the intersection ahead of the vehicle is less than the set pedestrian probability threshold, the light returns to its original state.

6. The method according to claim 1, characterized in that The environmental monitoring sensors equipped on the vehicle are used to monitor the environmental variables of the vehicle driving at night, including: Use the external camera to detect the probability of a face appearing in front of the vehicle; Among them, the external camera of the vehicle has a built-in image detection algorithm; Compares environment variables to preset environment variable thresholds, including: Compare the probability of a face appearing in front of the vehicle with the set face probability threshold; Based on the comparison results, the vehicle's lighting parameters are controlled, including: If the probability of a face appearing in front of the vehicle is greater than the set face probability threshold, the low beam headlights are turned on; If the probability of a face appearing in front of the vehicle is less than the set face probability threshold, the light returns to its original state.

7. The method according to claim 1, characterized in that The execution process of the method is repeated and iterated according to the set cycle period.

8. The method according to claim 7, characterized in that Also includes: According to the current vehicle speed, the cycle period of the loop execution is dynamically adjusted.

9. A vehicle lighting control system, characterized in that: The vehicle lighting control system includes: A monitoring module is used to monitor environmental variables of vehicles traveling at night using environmental monitoring sensors equipped on the vehicle; A comparison module, for comparing an environmental variable with a preset environmental variable threshold; The control module is used to control the lighting parameters of the vehicle according to the comparison result.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the vehicle light control method according to any one of claims 1 to 8 is implemented.

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