Community range-based dipped headlight control method and system

Abstract

The invention relates to vehicle lamplight, and discloses a community range-based dipped headlight control method, which comprises the following steps of: in response to identification that a vehicle is located in a community range, identifying whether a target object exists in a dipped headlight irradiation range of the vehicle or not, and enabling the eye height of the target object to be less than or equal to the irradiation height of the dipped headlight of the vehicle; and reducing the irradiation height of the dipped headlight of the vehicle in response to the target object existing in the irradiation range of the dipped headlight of the vehicle. According to the low beam control method based on the community range, low beam adjustment can be conducted in the community, hard light damage to eyes of children in the community is avoided, meanwhile, low beam control computing power outside the community range can be released, and the situation that driving danger is caused by frequent low beam adjustment outside the community range is avoided.

Description

Background Art

[0002] Nowadays, cars have become basically popular, bringing a lot of convenience to people's production and life. Low beam is an important function in automobile lighting. Turning on the low beam function at night allows the driver to clearly see the distance of forty to fifty meters ahead on the road, ensuring driving safety.

[0003] Usually, low beams are installed on both sides of the front of the vehicle, and the installation height varies with the vehicle model. For SUV models, the installation position of low beams is generally higher, about 0.8 to 0.9 meters. In the light pattern design of low beams, it is required that the main brightness is concentrated below the horizontal installation position of the low beam. The average height of a 2-year-old child is about 0.87 meters, and the height of the eye is about 0.77 meters, which is lower than the installation height of the low beam of some SUVs, so that the eyes are within the illumination range of the low beam. At night, when a vehicle is driving in a community, the low beam is turned on. Children in the community often walk around and play. When a vehicle passes by, the low beam will cause strong light damage to the children's eyes. Figure 3 As shown, although some car owners lower the illumination height of the low beam by adjusting buttons or the vehicle control interface, the process is generally complicated and not conducive to driving safety. Summary of the invention

[0004] In order to solve the problem of strong light damage to children's eyes caused by low beam when the vehicle is driving in the community, and the problem of driving danger caused by frequent adjustment of low beam outside the community, the present application provides a low beam control method and system based on the community.

[0005] In order to solve the above technical problems, the first aspect of the present invention provides a low beam control method based on a community range, including: in response to identifying that a vehicle is located in the community range, identifying whether there is a target object within the illumination range of the low beam of the vehicle, and the eye height of the target object is less than or equal to the illumination height of the low beam of the vehicle; in response to the presence of a target object within the illumination range of the low beam of the vehicle, lowering the illumination height of the low beam of the vehicle.

[0006] Preferably, whether the vehicle is located within the community is identified based on the location information of the vehicle; and / or whether the vehicle is located within the community is identified based on matching real-time feature data with pre-stored community feature data, wherein the real-time feature data is extracted based on sensor information of the vehicle.

[0007] Preferably, the identifying whether the vehicle is located in the community based on the vehicle's location information includes: identifying whether the vehicle is located in the community based on a positional relationship between the vehicle's location information and a set community range; or identifying whether the vehicle is located in the community based on the type of road on which the vehicle is located, the type of road on which the vehicle is located is determined based on the vehicle's location information, and the road types include internal roads and open roads.

[0008] Preferably, the identifying whether there is a target object within the range of the low beam of the vehicle includes: identifying whether there is an object with a height less than a set threshold within the range of the low beam of the vehicle; in response to the presence of an object with a height less than a set threshold within the range of the low beam of the vehicle, identifying whether the object is a target object.

[0009] Preferably, based on the characteristic information of the object, it is identified whether the object is a first category object; wherein, in response to the object being a first category object, the object is identified as the target object, the age of the first category object is less than a set age threshold, and the set age threshold is less than or equal to 10 years old; or the height of the first category object is less than a set height threshold, and the set height threshold is determined according to the optical axis of the vehicle's low beam headlights.

[0010] Preferably, lowering the illumination height of the vehicle's low beam headlights includes: lowering the illumination height of the vehicle's low beam headlights to a set anti-glare height; or determining a rotation angle of the vehicle's low beam headlights toward the direction of gravity according to the eye height of the target object to lower the illumination height of the vehicle's low beam headlights.

[0011] Preferably, the rotation angle Δa of the low beam headlight of the vehicle towards the direction of gravity is calculated according to the following formula:

[0012] H l＝ H c -D*tan(a0+△a)

[0013] Where: H C represents the height of the optical axis of the low beam; D represents the distance between the target object and the low beam; H1 represents the dynamic anti-glare height determined according to the eye height of the target object, and a0 represents the initial downward tilt angle of the low beam.

[0014] Preferably, lowering the illumination height of the low beam of the vehicle includes: identifying the positional relationship between the target object and the main driver; in response to the target object being located on the main driver's side, rotating the low beam of the vehicle by a first angle toward the direction of gravity; in response to the target object being located on the co-driver's side, rotating the low beam of the vehicle by a second angle toward the direction of gravity, wherein the first angle is smaller than the second angle.

[0015] Preferably, the angle difference between the first angle and the second angle is determined according to the angle difference of the low-beam cut-off lines of the low-beam lamp.

[0016] In a second aspect, the present invention provides a low beam control system based on a community range, comprising: a target object recognition module, configured to identify whether there is a target object within the illumination range of the low beam of the vehicle in response to identifying that the vehicle is located within the community range, and the eye height of the target object is less than or equal to the illumination height of the low beam of the vehicle; a low beam control module, configured to lower the illumination height of the low beam of the vehicle in response to the presence of a target object within the illumination range of the low beam of the vehicle.

[0017] In a third aspect, the present application provides an electronic device comprising: one or more processors; a memory; and one or more computer programs, wherein the one or more computer programs are stored in the memory and configured to be executed by the one or more processors, and the one or more computer programs are configured to: execute the above-mentioned community-based low beam control method.

[0018] In a fourth aspect, the present application provides a storage medium having computer-readable instructions stored thereon. When the computer-readable instructions are executed by a processor, the community-based low-beam control method as described above is implemented.

[0019] Through the above technical solution, when the vehicle is located within the community, it can be identified whether there is a target object within the illumination range of the vehicle's low beam. When the eye height of the target object is less than or equal to the illumination height of the vehicle's low beam, the illumination height of the vehicle's low beam is lowered to avoid strong light damage to the eyes of children in the community. At the same time, the low beam control computing power outside the community can be released to avoid driving hazards caused by frequent adjustment of the low beam outside the community.

[0020] Other advantages of the present invention and the technical effects of the preferred embodiments will be further described in the following specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a flow chart of an embodiment of a community-based low beam control method of the present invention;

[0022] Figure 2 It is a schematic diagram of reducing the irradiation height of a low beam lamp within a community according to the present invention;

[0023] Figure 3 This is a schematic diagram of low beam headlights causing dazzle to children;

[0024] Figure 4 It is a schematic diagram of reducing the height of low beam lights within a community to avoid dazzling children;

[0025] Figure 5 It is a schematic diagram of the difference in rotation angles when a child is located on the left and right sides of a vehicle toward the direction of gravity;

[0026] Figure 6 is a flow chart of one embodiment of a method for controlling a low beam based on a community range according to the present invention;

[0027] Figure 7 is a flow chart of another embodiment of a community-based low beam control method of the present invention;

[0028] Figure 8 It is a principle diagram of the community-based low-beam headlight control system of the present invention;

[0029] Fig. 9 is a schematic diagram of a storage medium in an exemplary embodiment of the present invention;

[0030] Fig.10 is a schematic diagram of an electronic device in an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0031] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs. The term "or / and" used herein includes any and all combinations of one or more of the associated listed items.

[0033] In one embodiment of the present application, Figure 1 As shown, a low beam control method based on a community range includes: S110, in response to identifying that a vehicle is located in the community range, identifying whether there is a target object within the illumination range of the vehicle's low beam, and the eye height of the target object is less than or equal to the illumination height of the vehicle's low beam; S120, in response to the presence of a target object within the illumination range of the vehicle's low beam, lowering the illumination height of the vehicle's low beam.

[0034] The low beam control method based on the community scope provided by the above embodiment of the present invention can adjust the irradiation height of the low beam in the community to avoid strong light damage to the eyes of children in the community. At the same time, it can release the low beam control computing power outside the community scope to avoid the situation that the low beam is frequently adjusted outside the community scope and causes driving danger. Compared with adjusting the irradiation height of the low beam on the whole route, the low beam control method based on the community scope provided by the present invention is mainly used in the community. In the community, the vehicle itself has a speed limit, and the real-time requirement is relatively low. The target object around the vehicle can be detected more accurately. Compared with the community with a certain degree of closure, some public external roads outside the community mainly consider the impact of external factors on their own driving safety. Moreover, the vehicle speed is fast, and the relative distance between the target object and the vehicle changes quickly, which usually causes the speed of adjusting the low beam irradiation height to fail to keep up with the speed of change of the distance between the target object and the vehicle. Of course, the low beam community scene recognition method of the present invention is not limited to the community, but also applicable to some open shopping malls or schools, etc. These open shopping malls or schools can also be classified as communities.

[0035] In a specific embodiment of the present invention, it is possible to identify whether the vehicle is located within the community based on the vehicle's location information. In the above specific embodiment, a GPS positioning system or a Beidou positioning system can be installed on the vehicle, which has high-precision positioning capabilities and an on-board navigation function, and can determine whether the vehicle is within the community or outside the community, thereby determining whether the illumination height of the low beam headlights needs to be adjusted.

[0036] In some embodiments, whether the vehicle is located within the community range can be identified based on the positional relationship between the vehicle's location information and the set community range. Specifically, the community range can be pre-set in combination with map data, and when the location information provided by the positioning system indicates that the vehicle is located within the set community range, it can be determined that the vehicle is within the community range.

[0037] In other embodiments, it is possible to identify whether the vehicle is located within the community based on the type of road the vehicle is on, and the type of road the vehicle is on can be determined based on the location information of the vehicle. Road types may include internal roads and open roads. In this embodiment, considering that map data and positioning functions are usually able to provide the type of road the vehicle is on based on location information, it is possible to determine whether the vehicle is located within the community directly based on the type of road the vehicle is on provided by the map data and positioning functions. For example, when the type of road the vehicle is on is an internal road, it can be identified that the vehicle is located within the community; when the type of road the vehicle is on is an open road, it can be identified that the vehicle is not located within the community. In this embodiment, since the road type is directly provided by the map data and positioning function, on the one hand, there is no need to define and set the community scope by itself; on the other hand, since the number of road types is limited, the matching efficiency of road types is higher and the required computing power is smaller.

[0038] In some specific embodiments, it is possible to identify whether a vehicle is located within the community based on the matching of real-time feature data with pre-stored community feature data, and the real-time feature data is obtained based on the sensor information extraction of the vehicle. Specifically, in this embodiment, it is possible to determine whether the vehicle is within the community range through the real-time feature data collected by the sensor on the vehicle. The type of sensor can be a visual camera, a millimeter wave radar, or a laser radar, etc., which can accurately monitor and identify the real-time feature data. Then, these real-time feature data are compared with the pre-stored community feature data to determine whether the vehicle is within the community range, and then control whether the illumination height of the low beam headlight needs to be adjusted. The pre-stored community feature data may include but is not limited to gate gates, guard booths, community gates, etc. Further, the sensor on the vehicle can collect sensor data, and the sensor data is extracted through a deep learning algorithm such as a neural network model for feature extraction to obtain real-time feature data. The neural network model for feature extraction provided by the deep learning algorithm can be pre-trained and learned based on the sensor data. Further, the matching of real-time feature data and pre-stored community feature data can also be feature matched through a deep learning algorithm such as a neural network model for classification and recognition. The neural network model for classification and recognition provided by the deep learning algorithm can be pre-trained and learned based on the label data. Furthermore, the neural network model for feature extraction and the neural network model for classification and recognition can be integrated into the same neural network model for synchronous training. This application can achieve more variations, which will not be described in detail here.

[0039] In some specific embodiments, the vehicle's location information and the matching of real-time feature data with pre-stored community feature data can be combined to identify whether the vehicle is located within the community. For example, when it is determined that the vehicle is located within the set community based on the vehicle's location information, the real-time feature data is matched with the pre-stored community feature data. When the features can be matched, it is determined that the vehicle is located within the community. For another example, when the type of road on which the vehicle is located is an internal road, the real-time feature data is matched with the pre-stored community feature data. When the features can be matched, it is determined that the vehicle is located within the community. Therefore, on the one hand, the matching of real-time feature data with pre-stored community feature data is triggered by the vehicle's location information being located within the set community range / the type of road on which the vehicle is located. The vehicle does not need to perform data collection, feature extraction, and feature matching in real time, thereby releasing the system computing power of feature collection and matching. On the other hand, feature matching is used to further determine whether the vehicle is located within the community, thereby avoiding errors in the identification of whether the vehicle is located within the community due to positioning offset.

[0040] In some specific embodiments, a community local area network can be set up within the community. When a vehicle enters the community, the vehicle's intelligent system automatically connects to the community local area network, thereby identifying whether the vehicle is within the community based on whether the network connected to the vehicle's intelligent system is the community local area network. The present application can also implement more variations, such as setting up mobile device base stations around the community. After the vehicle enters the community scene, the driver's mobile phone connects to the mobile base station of the associated community to identify that the vehicle is within the community. The present application is not limited to this.

[0041] Specifically, the step of identifying whether there is a target object within the range of illumination of the vehicle's low beam can be triggered by identifying that the vehicle has entered the community. In other words, when it is identified that the vehicle has entered the community (such as the vehicle's position switches from an external road to an internal road; or the vehicle's position information indicates that the vehicle has just entered the community), the step of identifying whether there is a target object within the range of illumination of the vehicle's low beam is triggered. When it is identified that the vehicle has left the community (such as the vehicle's position switches from an internal road to an external road; or the vehicle's position information indicates that the vehicle has just left the community), the low beam community control function is no longer lowered, and the step of identifying whether there is a target object within the range of illumination of the vehicle's low beam is executed. When the vehicle is outside the community, the illumination angle of the low beam may not be adjusted, or the low beam may be adjusted in other desired ways, and the present application is not limited to this.

[0042] Specifically, since the target object is an object whose eye height is less than or equal to the illumination height of the vehicle's low beam headlights, the target object can be identified based on one or more of the target object's height (such as the height of the top of the head), height, age, and eye height. Due to the different postures of the target object, the height of the target object may be different from the real-time height of the target object. In some embodiments, since the height of the eyes in the head of the target object can be estimated based on the height, height, and age of the target object, only one of the height, height, and age of the target object can be identified. In other embodiments, the target object can also be identified in combination with multiple items of the target object's height (such as the height of the top of the head), height, age, and eye height to improve the recognition accuracy of the target object. The present application can achieve more variations, which will not be repeated here.

[0043] In a specific embodiment of the present invention, identifying whether there is a target object within the range of the vehicle's low beam illumination may include: identifying whether there is an object with a height less than a set threshold within the range of the vehicle's low beam illumination; in response to the presence of an object with a height less than the set threshold within the range of the vehicle's low beam illumination, identifying whether the object is the target object. Specifically, the set threshold may be determined based on the optical axis height of the vehicle's low beam. The set threshold may be, for example, (the optical axis height of the vehicle's low beam - H x ), where H x For example, it can be 2-10 cm, which can be set as needed, and this application is not limited to this.

[0044] In some embodiments, the sensor installed on the vehicle can identify whether there is an object to be identified within the illumination range of the low beam, and if the height of the object is less than a set threshold, the object is determined to be a target object. Specifically, the relationship between the illumination range of the low beam and the data collection range of the sensor can be predetermined, so that data within the illumination range of the low beam can be extracted from the data collected by the sensor.

[0045] In some variations, considering that both the target object and the vehicle may be moving, it is also possible to identify a target object that is outside the range of the low beam but within the set distance range of the vehicle. When the target object is identified outside the range of the low beam but within the set distance range of the vehicle, the illumination height of the vehicle's low beam can also be lowered.

[0046] In other variations, the vehicle trajectory can be predicted based on the vehicle's navigation path, driving direction, driving speed, etc., and the change in the low beam illumination range within a set time period (such as 2 seconds, 5 seconds, etc., which can be set as needed) can be predicted based on the predicted vehicle trajectory to obtain the low beam dynamic illumination range. Thus, the target object within the low beam dynamic illumination range can be identified. When the target object is identified within the low beam dynamic illumination range, the illumination height of the vehicle's low beam can also be lowered.

[0047] In some other variations, the target object can be identified within the set distance range of the vehicle, and based on the feature recognition of the target object, the moving trajectory of the target object within the set time period is predicted. When the moving trajectory of the target object is at least partially located within the dynamic illumination range of the low beam, the illumination height of the low beam of the vehicle can be reduced. In this embodiment, the predicted moving trajectory of the target object within the set time period can be implemented using a trained neural network model. For example, the skeleton data of the target object can be extracted based on the features of the target object sensed by the sensor, and the moving trajectory of the target object within the set time period can be predicted based on the movement trend and movement speed of the skeleton data of the target object. Further, according to the moving trajectory of the target object within the set time period and the dynamic illumination range of the low beam, when there is a moment when the target object is within the illumination range of the low beam within the set time period, the moment is recorded, and the illumination height of the low beam of the vehicle can be reduced at this moment. In this embodiment, the moving trajectory of the target object includes the predicted position of the target object at each moment within the set time period (for example, the relative position between the vehicle); the dynamic illumination range of the low beam includes the illumination range of the low beam at each moment within the set time period. The present application can implement more variations, which will not be repeated here.

[0048] like Figure 4As shown, a front-view camera installed on the vehicle can be used to identify the specific height of the target object (such as the height above the head). The specific method is: first, before the vehicle leaves the factory, the front-view camera performs parameter calibration of the measurement distance, height and angle inside the front-view camera. Then, when the vehicle is within the community, the front-view camera detects the target object within the range of the low beam, and outputs the outer rectangular frame of the target object. Then, the parameter calibration information of the front-view camera is compared with the outer rectangular frame to calculate the height of the target object. In order to accurately determine the height of the target object and prevent deviations in the calculation of the height of the target object caused by vehicle bumps and unclear images, the pictures taken within a set time period (such as 1 second, 2 seconds, etc.) can be divided into N frames (N is, for example, an integer greater than 10). At the first frame, an image is captured to calculate the height of the target object, and then images are captured in the set frames (the set frame can be determined according to N, taking N as 30 as an example, the set frame can be, for example, the 5th frame, 10th frame, 15th frame, 20th frame, 25th frame, and 30th frame) to calculate the height, and the average value is taken to obtain a more accurate true height of the target object.

[0049] In some specific embodiments, considering that an object with a height greater than a set height threshold squats in a community, it is possible to identify it as a target object through height detection. To this end, in some embodiments, an object (such as an adult) whose height is less than the set threshold due to squatting, bending over, etc., but whose actual height is greater than the set height threshold can also be identified as a target object, thereby lowering the height of the low beam. In other embodiments, considering that an object (such as an adult) whose height is less than the set threshold due to squatting, bending over, etc., but whose actual height is greater than the set height threshold will basically not maintain the posture and will return to the standing height in a short time, therefore, in response to the existence of an object with a height less than the set threshold within the illumination range of the low beam of the vehicle, identifying whether the object is a target object may include: based on the feature information of the object, identifying whether the object is a first-class object; wherein, in response to the object being a first-class object, identifying the object as the target object, the age of the first-class object is less than the set age threshold, and the set age threshold is less than or equal to 10 years old (the age threshold can be set to be less than or equal to 10 years old, for example, it can be set to 3 years old, 4 years old, etc., and the present application is not limited to this); or the height of the first-class object is less than the set height threshold, and the set height threshold is determined according to the optical axis of the low beam of the vehicle. Thus, by comparing the height / age of the object with the corresponding threshold, it is determined whether the identified object is a first-category object. If the identified object is a first-category object, it is identified as a target object. Furthermore, in the present embodiment, objects whose height is greater than the set height threshold can also be distinguished by age recognition. Therefore, it is also possible to determine whether the object is a first-category object by age recognition. Among them, the accuracy of height recognition is higher, but the efficiency of age recognition is higher. Among them, height recognition can be performed by bone recognition of the object data collected by the vehicle sensor, and the length of a certain section of the bone (such as the forearm, the calf, etc.) is obtained. The actual height of the object can be predicted based on the length of the bone. Among them, age recognition can be combined with a deep learning model, and realized by facial features, limb features, etc. of the object data collected by the vehicle sensor. Thus, only the first-category object can be used as the target object to avoid misadjustment of the low beam height.

[0050] In some specific embodiments, when there are multiple target objects, the height of the target object with the lowest height can be selected as the basis for lowering the illumination height of the low beam. In a specific embodiment of the present invention, lowering the illumination height of the vehicle's low beam includes: lowering the illumination height of the vehicle's low beam to a set anti-glare height; or determining the rotation angle of the vehicle's low beam toward the direction of gravity according to the eye height of the target object to lower the illumination height of the vehicle's low beam. In the above specific embodiments, the illumination height of the low beam can be directly adjusted to a set anti-glare height, where the anti-glare height is a value set by the driver or recommended by the manufacturer. Even if the target object is relatively young, lowering the illumination height of the low beam can prevent the low beam from causing strong light damage to their eyes. Or, as Figure 2 As shown, the rotation angle △a of the low beam in the direction of gravity can be determined according to the eye height of the identified target object, and the calculation formula is:

[0051] H l＝ H c -D*tan(a0+△a)

[0052] Where: H C represents the height of the optical axis of the low beam; D represents the distance between the target object and the low beam, and its value gradually decreases as the vehicle gets closer to the target object; H1 represents the dynamic anti-glare height determined according to the eye height of the target object; a0 represents the initial downward tilt angle of the low beam (for example, the installation downward tilt angle of the low beam); a0+△a=a. Specifically, the dynamic anti-glare height varies with different target objects. The dynamic anti-glare height can be less than the eye height H of the target object. r The dynamic anti-glare height can be, for example, (the eye height H of the target object) r -H y ), where H y For example, it is 0.1-10 cm, which can be set as needed, and the present application is not limited thereto. In some embodiments, considering the problem of lamp installation accuracy, the a0 used may have an error, so that △a'=△a'+w, where w is the error margin. w can be set as needed, for example, it can be set to a constant greater than or equal to 0.2°.

[0053] Specifically, the above calculation method is based on the vehicle being in a horizontal posture and the lighting state is in a normal dimming state. If the vehicle is on a slope or the load in the vehicle is uneven, resulting in a change in the light a0 angle, the control unit in the vehicle can consider the vehicle state based on the vehicle control parameters and / or sensor parameters, and convert it into the above ideal state in equal amounts.

[0054] In a specific embodiment of the present invention, lowering the illumination height of the low beam of the vehicle may include: identifying the positional relationship between the target object and the main driver; in response to the target object being located on the main driver's side, rotating the low beam of the vehicle toward the gravity direction by a first angle; in response to the target object being located on the co-driver's side, rotating the low beam of the vehicle toward the gravity direction by a second angle, wherein the first angle is smaller than the second angle. Figure 5 As shown, in the above specific embodiments, the range of the first angle and the second angle are both between 4°-10°. In some embodiments, the first angle, the second angle, and the angle difference between the first angle and the second angle can be preset. In other embodiments, the second angle can be calculated according to the above calculation formula, and then the preset angle difference between the first angle and the second angle is subtracted from the second angle to obtain the value of the first angle. Specifically, the angle difference between the first angle and the second angle can be determined according to the angle difference of the low beam cutoff line of the low beam. For example, the angle difference between the first angle and the second angle is equal to the angle difference of the low beam cutoff line. Due to the existence of the angle difference of the low beam cutoff line, the irradiation heights of the left and right low beams of the vehicle are originally different. Therefore, it can be determined whether the target object is located on the side where the low beam irradiation height is originally higher or on the side where the low beam irradiation height is originally lower according to the side where the target object is close to the main driver or the co-driver. In this way, the accuracy of the low beam adjustment can be improved to avoid irradiating children's eyes and causing strong light damage.

[0055] Furthermore, the angle difference between the first angle and the second angle may range from 0.37° to 0.77°. In the embodiment of the left-low and right-high arrangement adopted in the national standard GB25991, the angle difference between the first angle and the second angle is preferably 0.57°. It should be noted that when the present invention is applied in other countries or regions and adopts a standard different from the design standard of the low beam lamp in China, the adjustment angle of the low beam lamp can be adaptively adjusted.

[0056] In some embodiments of the present application, when a target object is identified, a horn may be set and / or a projection light may be used to project a pattern in front of the vehicle to remind the target object to avoid the vehicle by sound and / or light.

[0057] In some embodiments of the present application, in response to the absence of the target object within the illumination range of the vehicle's low beam or the sensing area of ​​the sensor, the illumination height of the vehicle's low beam may be restored.

[0058] In the above-mentioned embodiments of the present application, each object recognition can reuse the sensors of the vehicle to reduce hardware costs.

[0059] It should be emphasized that due to the speed angle of vehicles in the community, even if the low beam height is lowered, it will not affect the driver's vision in the car.

[0060] In some embodiments of the present application, reference Figure 6 As shown, the low beam control method based on the community range includes the following steps: S210: turn on the low beam at night; S220: GPS obtains the location information of the vehicle; S230: determines whether the vehicle is located in the community environment; if the vehicle is not located in the community environment, jumps to S270: does not reduce the low beam illumination height; if the vehicle is located in the community environment, jumps to S240: identifies whether there is a target object within the illumination range of the low beam of the vehicle; if there is no target object within the illumination range of the low beam, jumps to S270: does not reduce the low beam illumination height; if there is a target object within the illumination range of the low beam, jumps to S250: determines whether the eye height of the target object is less than or equal to the illumination height of the low beam of the vehicle; if the eye height of the target object is less than or equal to the illumination height of the low beam of the vehicle, jumps to S260: reduces the illumination height of the low beam; otherwise, jumps to S270: does not reduce the illumination height of the low beam.

[0061] In some embodiments of the present application, reference Figure 7 As shown, the low beam control method based on the community range includes the following steps: S310: turn on the low beam at night; S320: GPS obtains the location information of the vehicle; S330: determines whether the vehicle is located in the community environment; if the vehicle is not located in the community environment, jump to S370: do not lower the low beam illumination height; if the vehicle is located in the community environment, jump to S340, identify whether there is a target object within the low beam illumination range of the vehicle, if there is no target object within the low beam illumination range, jump to S370: do not lower the low beam illumination height; if there is a target object within the low beam illumination range, jump to S350: determine whether the height of the target object is less than or equal to the height threshold; if the height of the target object is less than or equal to the height threshold, jump to S360: lower the low beam illumination height; otherwise, jump to S370: do not lower the low beam illumination height.

[0062] In some embodiments of the present application, in response to identifying that the vehicle is located within the community, the illumination height of the low beam of the vehicle can be lowered to a set anti-glare height; when the target object is identified to exist within the illumination range of the low beam of the vehicle, the illumination height of the low beam of the vehicle can be adaptively lowered according to the eye height of the target object. Thus, when the vehicle enters the community, the low beam height is first lowered to avoid irradiating the eyes of most children, and then fine-tuned according to the target object actually identified to ensure accurate illumination and protection of each target object.

[0063] The above is only a schematic description of multiple implementations of the present application, and each embodiment can be implemented separately or in combination; the replacement of the execution order of the steps, the splitting of the steps, and the merging of the steps are all within the protection scope of the present application. An embodiment of the present invention also provides a low beam control system based on the community range, including: a target object recognition module, configured to respond to the identification that the vehicle is located in the community range, identify whether there is a target object within the illumination range of the vehicle's low beam, and the eye height of the target object is less than or equal to the illumination height of the vehicle's low beam; a low beam control module, configured to respond to the presence of a target object within the illumination range of the vehicle's low beam, and reduce the illumination height of the vehicle's low beam.

[0064] The above modules can be implemented by hardware, firmware, software or a combination thereof, and the present application is not limited thereto.

[0065] In some specific embodiments, a positioning module is provided inside the vehicle. The positioning module may be a GPS positioning system or a Beidou positioning system, which is used to obtain the location information of the vehicle. After locating the vehicle within the community, the target object recognition module may recognize whether there is a target object within the illumination range of the low beam, and whether the eye height of the target object is less than the illumination height of the low beam. The target object recognition module may be various sensors (such as visual sensors, laser radars, millimeter wave radar lights). When the target object recognition module recognizes that there is a target object within the illumination range of the low beam of the vehicle, the corresponding signal is transmitted to the low beam control module, the low beam control module, the low beam drive module and the dimming motor. The low beam drive module and the dimming motor are electrically connected to reduce the illumination height of the low beam to avoid strong light damage to the eyes of children in the community.

[0066] refer to Figure 8As shown, a schematic diagram of a low beam control system based on a community range of the present invention is given, including a positioning module 410, a calculation module 420, a target recognition module 430 and a low beam control module 440, wherein the positioning module 410 is used to obtain the position information of the vehicle, the target recognition module 430 is used to recognize whether there is a target object within the illumination range of the low beam of the vehicle, and the low beam control module 440 is used to adjust the illumination height of the low beam. The calculation module 420 is electrically connected to the positioning module 410, the target recognition module 430 and the low beam control module 440 respectively, and the target recognition module 430 and The output end of the positioning module 410 is connected to the input end of the calculation module 420, and the output end of the calculation module 420 is connected to the input end of the low beam control module 440. The target recognition module 430 can identify and obtain some real-time feature data, and transmit the corresponding real-time feature data to the calculation module 420. The calculation module 420 receives the real-time feature data and makes a judgment based on the real-time feature data, and transmits the signal to the low beam control module 440. The low beam control module 440 controls the dimming motor to reduce the irradiation height of the low beam to avoid strong light damage to the eyes of children in the community.

[0067] Refer to the following Fig. 9 An electronic device 500 according to this embodiment of the present invention is described. Fig. 9 The electronic device 500 shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention. Fig. 9 As shown, the electronic device 500 is in the form of a general-purpose computing device. The components of the electronic device 500 may include, but are not limited to: at least one processing unit 510, at least one storage unit 520, a bus 530 connecting different system components (including the storage unit 520 and the processing unit 510), a display unit 540, etc. The storage unit stores program code, and the program code can be executed by the processing unit 510, so that the processing unit 510 executes the steps of various exemplary embodiments of the present invention described in the above-mentioned community-based low-beam control method section of this specification. For example, the processing unit 510 can execute the following steps: Figure 6 to Figure 7The steps shown. The storage unit 520 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 5201 and / or a cache storage unit 5202, and may further include a read-only storage unit (ROM) 5203. The storage unit 520 may also include a program / utility 5204 having a set (at least one) of program modules 5205, such program modules 5205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of these examples or some combination may include the implementation of a network environment. The bus 530 may be one or more of several types of bus structures, including a storage unit bus or a storage unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any bus structure in a variety of bus structures. The electronic device 500 may also communicate with one or more external devices 600 (such as a keyboard, a pointing device, a Bluetooth device, etc.), and may also communicate with one or more devices that enable tenants to interact with the electronic device 500, and / or communicate with any device that enables the electronic device 500 to communicate with one or more other computing devices (such as a router, a modem, etc.). Such communication may be performed via an input / output (I / O) interface 550. Furthermore, the electronic device 500 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 560. The network adapter 560 may communicate with other modules of the electronic device 500 via the bus 530. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0068] refer to Fig.10As shown, a program product 700 for implementing the above method according to an embodiment of the present invention is described, which can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited to this. In this document, a readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. The program product can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of readable storage media (non-exhaustive list) include: an electrical connection with one or more wires, a portable 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. The computer-readable storage medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable storage medium may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by an instruction execution system, an apparatus, or a device or used in combination with it. The program code contained on the readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above. The program code for performing the operation of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and also conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code may be executed entirely on a tenant computing device, partially on a tenant device, as a separate software package, partially on a tenant computing device, partially on a remote computing device, or entirely on a remote computing device or server. In situations involving remote computing devices, the remote computing devices may be connected to the tenant computing devices through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0069] It will be appreciated by those skilled in the art that various aspects of the present invention may be implemented as a system, method or program product. Therefore, various aspects of the present invention may be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software, which may be collectively referred to herein as a "circuit", "module" or "system".

[0070] The preferred embodiments of the present invention are described in detail above in conjunction with the accompanying drawings, but the present invention is not limited thereto. Within the technical concept of the present invention, the technical solution of the present invention can be subjected to a variety of simple modifications, including the combination of various specific technical features in any suitable manner. In order to avoid unnecessary repetition, the present invention will not further describe various possible combinations. However, these simple modifications and combinations should also be regarded as the contents disclosed by the present invention and belong to the protection scope of the present invention.

Claims

1. A community-based low beam control method, characterized in that: include: In response to identifying that the vehicle is located within the community, identifying whether there is a target object within the illumination range of the low beam of the vehicle, and the eye height of the target object is less than or equal to the illumination height of the low beam of the vehicle; In response to the target object existing within the illumination range of the low beam of the vehicle, the illumination height of the low beam of the vehicle is lowered.

2. The community-based low beam control method according to claim 1, characterized in that: Identify whether the vehicle is located within the community based on the location information of the vehicle; and / or Based on the matching of real-time feature data and pre-stored community feature data, it is identified whether the vehicle is located within the community, and the real-time feature data is obtained by extracting sensor information of the vehicle.

3. The community-based low beam control method according to claim 2, characterized in that: The identifying whether the vehicle is located within the community based on the location information of the vehicle comprises: Based on the positional relationship between the location information of the vehicle and a set community range, identifying whether the vehicle is located within the community range; or Based on the type of road on which the vehicle is located, it is identified whether the vehicle is located within the community, the type of road on which the vehicle is located being determined based on the position information of the vehicle, and the road type including an internal road and an open road.

4. The community-based low beam control method according to claim 1, characterized in that: The identifying whether there is a target object within the illumination range of the low beam headlight of the vehicle comprises: Identify whether there is an object with a height less than a set threshold within the range of the low beam of the vehicle; In response to the presence of an object with a height less than a set threshold within the illumination range of the low beam of the vehicle, it is identified whether the object is a target object.

5. The community-based low beam control method according to claim 4, characterized in that: The identifying whether the object is a target object comprises: Based on the feature information of the object, identifying whether the object is a first category object; In which, in response to the object being a first category object, the object is identified as the target object, the age of the first category object is less than a set age threshold, and the set age threshold is less than or equal to 10 years old; or the height of the first category object is less than a set height threshold, and the set height threshold is determined according to the optical axis of the vehicle's low beam headlights.

6. The community-based low beam control method according to claim 1, characterized in that: The step of lowering the illumination height of the low beam headlight of the vehicle comprises: Lowering the illumination height of the low beam headlights of the vehicle to a set anti-glare height; or According to the eye height of the target object, the rotation angle of the low beam headlight of the vehicle toward the direction of gravity is determined to reduce the irradiation height of the low beam headlight of the vehicle.

7. The community-based low beam control method according to claim 6, characterized in that: The rotation angle Δa of the low beam headlight of the vehicle toward the direction of gravity is calculated according to the following formula: H l＝ H c -D*tan(a0+△a) Where: H C represents the height of the optical axis of the low beam; D represents the distance between the target object and the low beam; H1 represents the dynamic anti-glare height determined according to the eye height of the target object, and a0 represents the initial downward tilt angle of the low beam.

8. The community-based low beam control method according to claim 1, characterized in that: The step of lowering the illumination height of the low beam headlight of the vehicle comprises: Identifying a positional relationship between the target object and the main driver; In response to the target object being located at the main driving side, the low beam headlight of the vehicle is rotated by a first angle toward the direction of gravity; In response to the target object being located on the passenger side, the low beam headlight of the vehicle is rotated toward the gravity direction by a second angle, Wherein, the first angle is smaller than the second angle.

9. The community-based low beam control method according to claim 8, characterized in that: The angle difference between the first angle and the second angle is determined according to the angle difference of the low-beam cut-off lines of the low-beam lamp.

10. A community-based low beam control system, characterized in that: include: A target object recognition module, configured to, in response to recognizing that the vehicle is located within the community, recognize whether there is a target object within the illumination range of the low beam of the vehicle, and the eye height of the target object is less than or equal to the illumination height of the low beam of the vehicle; The low beam control module is configured to reduce the illumination height of the low beam of the vehicle in response to the presence of the target object within the illumination range of the low beam of the vehicle.

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