Motorcycle LED projection method, device and equipment capable of sensing environment and storage medium

Abstract

The invention relates to the technical field of motorcycle illumination, in particular to a motorcycle LED projection method, device and equipment capable of sensing the environment and a storage medium, and the motorcycle LED projection method capable of sensing the environment comprises the steps: obtaining a vehicle starting message, obtaining an LED lamp bead starting instruction from the vehicle starting message, and sending the LED lamp bead starting instruction to the storage medium; acquiring current vehicle driving environment data in real time; acquiring a current lighting environment from the current vehicle driving environment data, and generating a brightness mode switching instruction according to the current lighting environment; driving road surface information is obtained from the current vehicle driving environment data, driving condition information is obtained according to the driving road surface information, and a projection direction adjusting instruction is generated according to the driving condition information; and generating an LED projection scheme according to the brightness mode switching instruction and the projection direction adjusting instruction. The lighting system of the motorcycle has the effect of improving the practicability and safety of the lighting system of the motorcycle.

Description

Technical Field

[0001] The present application relates to the technical field of motorcycle lighting, and more particularly to an environment-aware motorcycle LED projection method, device, equipment, and storage medium. Background Art

[0002] At present, motorcycle LED projection lamp technology has developed rapidly in recent years and has gradually become an important part of the motorcycle lighting system, playing a key role in improving driving safety at night and in low visibility conditions. In order to meet the growing safety needs, many research institutions and companies are constantly exploring more advanced lighting technologies and design methods, striving to improve the driving experience while ensuring higher reliability.

[0003] The existing ones mainly rely on traditional fixed brightness settings and preset projection modes to cope with different usage scenarios. On the one hand, when facing bad weather or complex road conditions, constant brightness output and fixed projection range are often used; on the other hand, considering the inevitable vibration interference when the motorcycle is running, the conventional practice is to use physical shock-absorbing measures to reduce the impact of vehicle body vibration on the stability of the receiving end beam. Although the above method can alleviate the problems that may arise in certain specific situations to a certain extent, there are still obvious shortcomings. For example, in changeable weather conditions and complex road environments, fixed lighting strategies are difficult to make timely adjustments according to different situations, thereby reducing the practicality and safety of the lighting system. Summary of the invention

[0004] In order to improve the practicality and safety of a motorcycle's lighting system, the present application provides an environment-aware motorcycle LED projection method, device, equipment, and storage medium.

[0005] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A motorcycle LED projection method for sensing an environment, the motorcycle LED projection method for sensing an environment comprising: Obtain a vehicle startup message, obtain an LED lamp bead startup instruction from the vehicle startup message, and obtain current vehicle driving environment data in real time; Acquire a current lighting environment from the current vehicle driving environment data, and generate a brightness mode switching instruction according to the current lighting environment; Acquire driving road surface information from the current vehicle driving environment data, acquire driving condition information according to the driving road surface information, and generate a projection direction adjustment instruction according to the driving condition information; An LED projection scheme is generated according to the brightness mode switching instruction and the projection direction adjustment instruction.

[0006] By adopting the above technical solution, when the vehicle is started, the current vehicle driving environment data can be collected in real time by obtaining the LED lamp bead start-up instruction in the vehicle start-up message, so as to obtain the current lighting environment and driving road information, so as to obtain the data changes of the vehicle environment in real time, and provide an accurate data basis for subsequent intelligent adjustment. According to the current lighting environment, a brightness mode switching instruction is further generated, so that the projection lamp can maintain the best brightness mode under different weather and lighting conditions, avoiding the problems caused by the inappropriate brightness of the projection lamp in bad weather or insufficient light, such as poor vision affecting riding safety. At the same time, the driving road information, including specific road condition information such as the flatness of the road, can also be obtained from the current vehicle driving environment data, and the projection direction adjustment instruction is generated accordingly, which can not only adjust the brightness according to different light conditions, but also adjust the projection direction of the projection lamp according to the road traffic conditions, to ensure the clarity and stability of the projected image. When the vehicle is driving on an uneven road, the projection lamp will automatically adjust its irradiation direction to avoid the visual effect affected by the disorder of the light beam caused by the bumpy road. In addition, the gyroscope sensor monitors the vehicle's posture changes in real time to ensure that the projection direction can be automatically calibrated, ensuring the projection quality under complex road conditions and bad weather conditions, and further increasing safety. By obtaining the LED lamp bead startup instructions and the current vehicle driving environment data, and on this basis forming the corresponding brightness mode switching instructions and projection direction adjustment instructions to dynamically optimize the LED projection solution, the projection lamp always maintains the best working state, improves the adaptability and projection clarity in complex driving environments, and effectively improves the riding safety level. In practical applications, this technology can be widely used in various models of motorcycles, providing users with a more comfortable and safe driving experience, and has broad market application prospects.

[0007] In a preferred example, the present application can be further configured as follows: the vehicle startup message is obtained, the LED lamp bead startup instruction is obtained from the vehicle startup message, and the current vehicle driving environment data is obtained in real time, specifically including: According to the LED lamp bead start-up instruction, a vehicle lighting image is acquired, and vehicle lighting feedback data is obtained by identifying the vehicle lighting image; Extracting image clarity features from the vehicle lighting feedback data, and identifying image reflection features and driving picture features based on the image clarity features; The current vehicle driving environment data is generated according to the image reflection characteristics and the driving picture characteristics.

[0008] By adopting the above technical solution, when the motorcycle is started and receives the LED lamp bead start command, the current lighting environment can be analyzed in real time by acquiring the vehicle lighting image. That is, from the vehicle lighting image, the vehicle lighting feedback data is identified and the image clarity features are further extracted from it. This process is based on image processing technology. By analyzing the image, the image clarity features, that is, the key information such as brightness distribution, contrast and clarity in the image, are extracted. Subsequently, the image reflection features and driving picture features are obtained according to the image clarity feature recognition. The image reflection features reflect the light intensity and light reflection of the external environment, while the driving picture features cover the road conditions and obstacle distribution of the current motorcycle environment. On this basis, the current vehicle driving environment data is further generated, including the specific values ​​of the image reflection features, such as the ambient light intensity level, the light reflection area distribution and the reflection intensity peak, as well as the relevant information of the driving picture features, such as the flatness of the road surface, the pothole conditions and the location and size of the obstacles. The current vehicle driving environment data integrates the above information, thus achieving a comprehensive perception of the external environment, so that it can accurately judge the current weather conditions, lighting conditions, road conditions and other important information, which helps to provide more accurate and reliable LED projection effects under various environmental conditions, not only improving the driver's visual experience, but also improving riding safety. Especially in complex road conditions, such as rainy days, snowy days or driving at night, the system's intelligent analysis and adjustment capabilities can greatly reduce the problem of poor lighting caused by environmental factors, thereby providing motorcycle drivers with a safer and more comfortable riding experience.

[0009] In a preferred example, the present application may be further configured as follows: the current lighting environment is obtained from the current vehicle driving environment data, and a brightness mode switching instruction is generated according to the current lighting environment, specifically including: Performing driving weather recognition on the image reflective features to obtain a driving weather recognition result; Acquire driving rainfall data from the driving weather recognition result, and calculate the current lighting environment according to the driving rainfall data; The brightness mode switching instruction is generated according to the driving rainfall data in the current lighting environment.

[0010] By adopting the above technical solution, the driving weather recognition is performed on the image reflective features, so as to obtain a more accurate driving weather recognition result, thereby ensuring that the system accurately judges the current weather conditions, such as sunny, cloudy or rainy days. Further, the driving rainfall data is obtained from the driving weather recognition result, and the current lighting environment is calculated based on the data, so that the influence of the current climate conditions on the propagation of light can be understood, and the brightness mode switching instruction is generated according to the driving rainfall data in the current lighting environment, so as to ensure the best lighting effect under different weather conditions. For example, on rainy days, the presence of raindrops will cause the light to scatter, resulting in a significant decrease in the lighting effect of conventional projection lamps. At this time, the system determines that the current lighting environment is not suitable for using a lower brightness mode through the recognition of rainfall data, and generates a high brightness mode switching instruction instead. In this way, the LED projection lamp can automatically adjust to a higher brightness mode according to the changes in the environment, so that it can still provide sufficient lighting brightness on rainy days, ensure the driver's clear field of vision, and improve driving safety at night or in bad weather conditions. On the other hand, in clear weather, due to the strong light, if you still use the high brightness mode, it may lead to unnecessary energy waste and may cause glare interference to other road users. At this time, the system will automatically adjust to the appropriate low brightness mode, which not only saves energy consumption, but also avoids the negative impact of excessive lighting. It can dynamically adjust the working mode of the LED projection lamp according to environmental changes, while ensuring the lighting effect, achieving the purpose of energy saving and emission reduction and improving user experience.

[0011] In a preferred example, the present application can be further configured as follows: the step of obtaining driving road surface information from the current vehicle driving environment data, obtaining driving condition information according to the driving road surface information, and generating a projection direction adjustment instruction according to the driving condition information specifically includes: Acquire road surface roughness information from driving picture features in the current vehicle driving environment data, and generate the driving road surface information according to the road surface roughness information; The vehicle driving state data is acquired, and the driving condition information is generated according to the vehicle driving state data and the driving road surface information.

[0012] By adopting the above technical solution, when a motorcycle is traveling in different road conditions or environments, it can obtain road surface flatness information by analyzing the driving picture features in the current vehicle driving environment data, and generate driving road surface information accordingly. In this process, the driving picture features collected by the camera or other sensors equipped on the vehicle are used to accurately identify and judge the road surface flatness through the image processing algorithm, thereby generating driving road surface information. When the road surface is bumpy or there are large potholes, these situations can be identified in time, and the vehicle driving state data, such as vehicle speed, acceleration and other parameters, can be further obtained, and driving condition information can be comprehensively generated in combination with the driving road surface information. Based on the above driving condition information, the projection direction adjustment instruction can be dynamically generated according to the specific road conditions and driving status, so as to achieve precise adjustment of the projection beam. For example, when the vehicle is traveling on a pothole road, the direction of the projection beam will be adjusted accordingly to ensure that the projection image always remains clear and stable, and avoid the problem of projection beam fluctuation caused by road bumps. In addition, under different lighting conditions, corresponding brightness mode switching instructions will be generated based on factors such as the acquired image reflective characteristics to ensure that the best lighting effect can be provided under various ambient light conditions. This not only improves the image clarity and stability of the motorcycle LED projection lamp, but also enhances riding safety and comfort, and effectively solves the problem of poor performance of traditional projection lamps in complex road conditions or bad weather.

[0013] In a preferred example, the present application may be further configured as follows: the acquiring of the vehicle driving state data and the generating of the driving condition information according to the vehicle driving state data and the driving road surface information specifically include: Acquiring vehicle gyroscope data, and generating a driving stability level according to the vehicle gyroscope data; Acquire vehicle stability abnormality data and vehicle abnormality duration for each of the vehicle stability abnormality data from the driving stability degree; The vehicle driving state data is generated according to the vehicle stability abnormality data and the vehicle abnormality duration.

[0014] By adopting the above technical solution, the LED projection lamp is initialized by obtaining the LED lamp bead start-up instruction in the vehicle start-up message, and the current vehicle driving environment data is obtained in real time. These data include but are not limited to vehicle lighting images, image clarity features, image reflection features, driving picture features, etc. Based on the information in the vehicle lighting image, by extracting the image clarity features, the image reflection situation and the driving picture features are further identified, thereby forming accurate current vehicle driving environment data. Further, after obtaining the current vehicle driving environment data, by analyzing the vehicle gyroscope data, the degree of stability during driving can be calculated, and whether there is a vehicle stability abnormality and its corresponding abnormal duration can be identified. In this way, data on the vehicle driving state can be comprehensively generated based on the vehicle stability abnormality data and the abnormal duration. On this basis, combined with the information on the road surface flatness and the vehicle driving state, detailed driving condition information is generated. According to the latter, accurate projection direction adjustment instructions can be generated to ensure that during the driving of the motorcycle, whether facing complex road conditions or adverse weather conditions, the projection lamp can adjust its projection direction in time, so that the projected image always remains clear and stable.

[0015] The second object of the invention is achieved by the following technical solutions: A motorcycle LED projection device capable of sensing an environment, the motorcycle LED projection device capable of sensing an environment comprising: A driving environment acquisition module is used to obtain a vehicle startup message, obtain an LED lamp bead startup instruction from the vehicle startup message, and obtain current vehicle driving environment data in real time; A brightness switching control module, used to obtain a current lighting environment from the current vehicle driving environment data, and generate a brightness mode switching instruction according to the current lighting environment; a projection mode adjustment module, configured to obtain driving road surface information from the current vehicle driving environment data, obtain driving condition information according to the driving road surface information, and generate a projection direction adjustment instruction according to the driving condition information; The LED lamp projection control module is used to generate an LED projection scheme according to the brightness mode switching instruction and the projection direction adjustment instruction.

[0016] By adopting the above technical solution, when the vehicle is started, the current vehicle driving environment data can be collected in real time by obtaining the LED lamp bead start-up instruction in the vehicle start-up message, so as to obtain the current lighting environment and driving road information, so as to obtain the data changes of the vehicle environment in real time, and provide an accurate data basis for subsequent intelligent adjustment. According to the current lighting environment, a brightness mode switching instruction is further generated, so that the projection lamp can maintain the best brightness mode under different weather and lighting conditions, avoiding the problems caused by the inappropriate brightness of the projection lamp in bad weather or insufficient light, such as poor vision affecting riding safety. At the same time, the driving road information, including specific road condition information such as the flatness of the road, can also be obtained from the current vehicle driving environment data, and the projection direction adjustment instruction is generated accordingly, which can not only adjust the brightness according to different light conditions, but also adjust the projection direction of the projection lamp according to the road traffic conditions, to ensure the clarity and stability of the projected image. When the vehicle is driving on an uneven road, the projection lamp will automatically adjust its irradiation direction to avoid the visual effect affected by the disorder of the light beam caused by the bumpy road. In addition, the gyroscope sensor monitors the vehicle's posture changes in real time to ensure that the projection direction can be automatically calibrated, ensuring the projection quality under complex road conditions and bad weather conditions, and further increasing safety. By obtaining the LED lamp bead startup instructions and the current vehicle driving environment data, and on this basis forming the corresponding brightness mode switching instructions and projection direction adjustment instructions to dynamically optimize the LED projection solution, the projection lamp always maintains the best working state, improves the adaptability and projection clarity in complex driving environments, and effectively improves the riding safety level. In practical applications, this technology can be widely used in various models of motorcycles, providing users with a more comfortable and safe driving experience, and has broad market application prospects.

[0017] The third objective of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned motorcycle LED projection method for perceiving the environment are implemented.

[0018] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned motorcycle LED projection method for perceiving an environment are implemented.

[0019] In summary, the present application includes at least one of the following beneficial technical effects: 1. By acquiring the current vehicle driving environment data in real time and generating brightness mode switching instructions based on the current lighting environment, the system ensures the best lighting effect under different weather conditions, thereby improving driving safety at night and in low visibility conditions; 2. By obtaining driving road information from the current vehicle driving environment data and generating projection direction adjustment instructions based on driving condition information, the projection lamp can be ensured to adapt to changes in road conditions in real time, reducing lighting blind spots caused by complex road conditions; 3. By acquiring the vehicle's driving status data and combining it with the vehicle's gyroscope data to generate the degree of driving stability, the stability and clarity of the light beam are further optimized, effectively alleviating the problem of unclear projection images caused by vibration when the motorcycle is running. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a flow chart of a motorcycle LED projection method for sensing an environment in an embodiment of the present application; Figure 2 This is a flowchart of the implementation of step S10 of the method for motorcycle LED projection for sensing the environment in one embodiment of the present application; Figure 3 This is a flowchart of the implementation of step S20 of the method in the motorcycle LED projection for sensing the environment in one embodiment of the present application; Figure 4 This is a flowchart of the implementation of step S30 of the method in the motorcycle LED projection for sensing the environment in one embodiment of the present application; Figure 5 This is a flowchart of the implementation of step S32 of the method in the motorcycle LED projection for sensing the environment in one embodiment of the present application; Figure 6 This is a principle block diagram of a motorcycle LED projection system for sensing the environment in one embodiment of the present application; Figure 7 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0021] The present application is further described in detail below in conjunction with the accompanying drawings.

[0022] In one embodiment, if Figure 1 As shown, the present application discloses a motorcycle LED projection method for sensing the environment, which specifically includes the following steps: S10: Obtain a vehicle startup message, obtain an LED lamp bead startup instruction from the vehicle startup message, and obtain current vehicle driving environment data in real time.

[0023] In this embodiment, the vehicle start message refers to a message triggered when the user starts a small vehicle such as a motorcycle or electric motorcycle. The current vehicle driving environment data refers to the data of the road surface and weather conditions on which the user's motorcycle is currently driving.

[0024] Specifically, when the user starts the motorcycle, the vehicle start message is triggered. If the vehicle start message is triggered in an environment with low visibility, such as rain, fog and / or night, the LED lamp bead start instruction is triggered synchronously. Furthermore, after the vehicle headlights are turned on, that is, after responding to the LED lamp bead start instruction, the current vehicle driving environment data during the driving process is obtained in real time through the image acquisition and processing device, temperature and humidity sensor and other devices pre-installed on the vehicle.

[0025] S20: Acquire the current lighting environment from the current vehicle driving environment data, and generate a brightness mode switching instruction according to the current lighting environment.

[0026] In this embodiment, the current lighting environment refers to the visibility information of the road surface during the current driving process of the vehicle.

[0027] Specifically, after obtaining the current vehicle driving environment data, the light intensity of sunlight, moonlight or light on the road on which the current vehicle is driving and the current visibility information are judged through images, temperature and humidity data. If the light intensity displayed in the current lighting environment is too low, the generated brightness mode switching instruction is to increase the brightness of the LED lamp beads. If the current visibility is too low, the brightness mode switching instruction includes switching to a projection mode such as fog lights that can improve visibility.

[0028] S30: Acquire driving road surface information from current vehicle driving environment data, acquire driving condition information according to the driving road surface information, and generate a projection direction adjustment instruction according to the driving condition information.

[0029] Specifically, the current driving status of the vehicle is obtained from the current vehicle driving environment data, such as whether it encounters frequent bumps and frequent sharp turns, and the current driving condition information is determined to be that there are relatively many bumps and depressions and the driving route has many sharp turns, and the corresponding projection direction adjustment instructions are generated to control the distance between the projection position of the LED lamp beads and the projection position of the vehicle body to be relatively stable, so as to improve driving safety.

[0030] S40: Generate an LED projection solution according to the brightness mode switching instruction and the projection direction adjustment instruction.

[0031] Specifically, after obtaining the specific brightness mode switching instruction and the projection direction adjustment instruction, the two instructions are used together to generate an LED projection solution to adjust the projection position of the vehicle. In this embodiment, when the vehicle is started, the current vehicle driving environment data can be collected in real time by obtaining the LED lamp bead start-up instruction in the vehicle start-up message, so as to obtain the current lighting environment and driving road information, so as to obtain the data changes of the vehicle environment in real time, and provide an accurate data basis for subsequent intelligent adjustment. According to the current lighting environment, a brightness mode switching instruction is further generated, so that the projection lamp can maintain the best brightness mode under different weather and lighting conditions, avoiding the problems caused by the inappropriate brightness of the projection lamp in bad weather or insufficient light, such as poor vision affecting riding safety. At the same time, the driving road information, including specific road condition information such as the flatness of the road, can also be obtained from the current vehicle driving environment data, and the projection direction adjustment instruction is generated accordingly, which can not only adjust the brightness according to different light conditions, but also adjust the projection direction of the projection lamp according to the road traffic conditions, to ensure the clarity and stability of the projected image. When the vehicle is driving on an uneven road, the projection lamp will automatically adjust its irradiation direction to avoid the visual effect affected by the disorder of the light beam caused by the bumpy road. In addition, the gyroscope sensor monitors the vehicle's posture changes in real time to ensure that the projection direction can be automatically calibrated, ensuring the projection quality under complex road conditions and bad weather conditions, and further increasing safety. By obtaining the LED lamp bead startup instructions and the current vehicle driving environment data, and on this basis forming the corresponding brightness mode switching instructions and projection direction adjustment instructions to dynamically optimize the LED projection solution, the projection lamp always maintains the best working state, improves the adaptability and projection clarity in complex driving environments, and effectively improves the riding safety level. In practical applications, this technology can be widely used in various models of motorcycles, providing users with a more comfortable and safe driving experience, and has broad market application prospects.

[0032] In one embodiment, if Figure 2 As shown, in step S10, a vehicle startup message is obtained, an LED lamp startup instruction is obtained from the vehicle startup message, and current vehicle driving environment data is obtained in real time, specifically including: S11: according to the LED lamp bead start-up instruction, a vehicle lighting image is obtained, and vehicle lighting feedback data is obtained from the vehicle lighting image.

[0033] Specifically, after the LED lamp bead start command is triggered, an image acquisition device pre-installed on the vehicle, such as a camera, is used to acquire an image of the portion of the vehicle illuminated by the LED lamp bead in front of the vehicle as the vehicle lighting image. Further, the clarity and image feature extraction of the vehicle lighting image are performed to obtain the vehicle lighting feedback data.

[0034] S12: extracting image clarity features from the vehicle lighting feedback data, and obtaining image reflection features and driving picture features based on the image clarity features.

[0035] Specifically, after obtaining the vehicle lighting feedback data, the extracted clarity features, namely the pixel value and color features of the picture, are used as the image clarity features, and the road reflection conditions are judged based on the image clarity as the image reflection features, and the image features of the road surface are used as the driving picture features.

[0036] S13: Generate current vehicle driving environment data according to image reflection characteristics and driving picture characteristics.

[0037] Specifically, after the image reflection characteristics and the driving picture characteristics are obtained, the image reflection characteristics and the driving picture characteristics are used to generate the current vehicle driving environment data.

[0038] In one embodiment, if Figure 3 As shown, in step S20, the current lighting environment is obtained from the current vehicle driving environment data, and a brightness mode switching instruction is generated according to the current lighting environment, specifically including: S21: Perform driving weather recognition on the image reflective features to obtain a driving weather recognition result.

[0039] Specifically, based on the reflective characteristics of the image, that is, based on the reflection of light after the car lights are projected onto the ground, it is determined whether there is water on the road surface, and the driving weather is identified based on the water accumulation situation. If there is water on the road surface, the current weather is judged in combination with the data obtained by the temperature and humidity sensors to obtain the driving weather identification result.

[0040] S22: Acquire driving rainfall data from the driving weather recognition result, and calculate the current lighting environment according to the driving rainfall data.

[0041] Specifically, if the driving weather recognition result is that the current climate is raining, the current rainfall is determined in combination with the temperature and humidity sensor to obtain the driving rainfall data. Further, according to the preset correlation between rainfall and visibility, the current lighting change is obtained.

[0042] S23: Generate a brightness mode switching instruction according to the driving rainfall data in the current lighting environment.

[0043] Specifically, the brightness mode switching instruction is generated according to the driving rainfall data in the current lighting environment, that is, according to the brightness of the current road surface and the current rainfall situation. For example, if the current rainfall is too heavy and the surrounding light is too strong, or if the rainfall is too heavy and the surrounding light is too weak, both will affect the driver's visibility, and the corresponding brightness switching mode instruction is generated to adjust the driver's visibility.

[0044] In one embodiment, if Figure 4 As shown, in step S30, the driving road surface information is obtained from the current vehicle driving environment data, the driving condition information is obtained according to the driving road surface information, and the projection direction adjustment instruction is generated according to the driving condition information, which specifically includes: S31: Acquire road surface roughness information from driving picture features in the current vehicle driving environment data, and generate driving road surface information according to the road surface roughness information.

[0045] Specifically, the driving picture features in the current vehicle driving environment data and the image reflection features are used to determine whether the road surface is uneven, and the road surface flatness information is generated according to the determination result. Further, the driving road surface information, i.e., the driving road surface information used to adjust the projection direction, is generated according to the road surface flatness information.

[0046] S32: Acquire vehicle driving state data, and generate driving condition information according to the vehicle driving state data and driving road surface information.

[0047] Specifically, based on a device for detecting the driving state of the vehicle, such as vibration, direction, etc., the vehicle driving state data is acquired, and the driving condition information is generated in combination with the current vehicle state and driving road surface information.

[0048] In one embodiment, if Figure 5 As shown, in step S32, the vehicle driving state data is obtained, and the driving condition information is generated according to the vehicle driving state data and the driving road surface information, which specifically includes: S321: Acquire vehicle gyroscope data, and generate driving stability according to the vehicle gyroscope data.

[0049] Specifically, the corresponding data is obtained by the gyroscope installed on the vehicle during the driving process of the vehicle to obtain the vehicle gyroscope data. After the vehicle gyroscope data is obtained, the driving stability is determined according to the position state of the vehicle recorded in the data.

[0050] S322: Obtain vehicle stability abnormality data and the vehicle abnormality duration for each vehicle stability abnormality data from the driving stability degree.

[0051] Specifically, abnormal vibrations of the vehicle are obtained from the stable state, such as when passing over a pothole or making a sharp turn, as the vehicle's stable abnormal data, and the number and total duration of the abnormal data are obtained as the vehicle abnormal duration.

[0052] S323: Generate vehicle driving status data according to the vehicle stability abnormality data and the vehicle abnormality duration.

[0053] Specifically, if the vehicle abnormality duration is too short, it is determined to be a temporary turn or a pothole. If it is too long, it is determined that the current road surface is relatively uneven and there are too many sharp turns, and corresponding vehicle driving status data is generated.

[0054] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0055] In one embodiment, a motorcycle LED projection device for sensing an environment is provided, and the motorcycle LED projection device for sensing an environment corresponds one-to-one to the motorcycle LED projection method for sensing an environment in the above-mentioned embodiment. Figure 6 As shown, the motorcycle LED projection device for sensing the environment includes a driving environment acquisition module, a brightness switching control module, a projection mode adjustment module and an LED light projection control module. The functional modules are described in detail as follows: The driving environment acquisition module is used to obtain the vehicle startup message, obtain the LED lamp bead startup instruction from the vehicle startup message, and obtain the current vehicle driving environment data in real time; A brightness switching control module is used to obtain the current lighting environment from the current vehicle driving environment data and generate a brightness mode switching instruction according to the current lighting environment; A projection mode adjustment module, used to obtain driving road surface information from current vehicle driving environment data, obtain driving condition information according to the driving road surface information, and generate a projection direction adjustment instruction according to the driving condition information; The LED lamp projection control module is used to generate an LED projection plan according to the brightness mode switching instruction and the projection direction adjustment instruction.

[0056] Optionally, the brightness switching control module includes: The lighting feedback acquisition submodule is used to acquire the vehicle lighting image according to the LED lamp bead start-up instruction, and identify the vehicle lighting feedback data from the vehicle lighting image; An image feature extraction submodule is used to extract image clarity features from vehicle lighting feedback data, and obtain image reflection features and driving picture features based on image clarity feature recognition; The environmental data acquisition submodule is used to generate the current vehicle driving environment data based on the image reflection characteristics and driving picture characteristics.

[0057] Optionally, the brightness switching control module includes: The weather recognition submodule is used to identify the driving weather based on the image reflective features and obtain the driving weather recognition result; The lighting condition acquisition submodule is used to obtain driving rainfall data from the driving weather recognition result, and calculate the current lighting environment according to the driving rainfall data; The mode switching submodule is used to generate a brightness mode switching instruction according to the driving rainfall data in the current lighting environment.

[0058] Optionally, the projection mode adjustment module includes: A road surface information acquisition submodule is used to acquire road surface flatness information from driving picture features in the current vehicle driving environment data, and generate driving road surface information according to the road surface flatness information; The driving condition acquisition submodule is used to acquire vehicle driving state data and generate driving condition information based on the vehicle driving state data and driving road surface information.

[0059] Optionally, the driving condition acquisition submodule includes: A stability acquisition unit, used for acquiring vehicle gyroscope data and generating a driving stability level according to the vehicle gyroscope data; An abnormal duration statistics unit is used to obtain vehicle stability abnormality data and the abnormal duration of each vehicle stability abnormality data for that vehicle from the driving stability degree; The driving state acquisition unit is used to generate vehicle driving state data according to the vehicle stability abnormality data and the vehicle abnormality duration.

[0060] The specific definition of the motorcycle LED projection device for sensing the environment can be found in the definition of the motorcycle LED projection method for sensing the environment in the above text, and will not be repeated here. Each module in the above-mentioned motorcycle LED projection device for sensing the environment can be implemented in whole or in part by software, hardware, and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0061] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a motorcycle LED projection method for sensing the environment is implemented.

[0062] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Get the vehicle startup message, get the LED lamp bead startup instruction from the vehicle startup message, and get the current vehicle driving environment data in real time; Acquire the current lighting environment from the current vehicle driving environment data, and generate a brightness mode switching instruction according to the current lighting environment; Acquire driving road surface information from current vehicle driving environment data, acquire driving condition information based on the driving road surface information, and generate a projection direction adjustment instruction based on the driving condition information; Generate an LED projection solution according to the brightness mode switching instruction and the projection direction adjustment instruction.

[0063] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Get the vehicle startup message, get the LED lamp bead startup instruction from the vehicle startup message, and get the current vehicle driving environment data in real time; Acquire the current lighting environment from the current vehicle driving environment data, and generate a brightness mode switching instruction according to the current lighting environment; Acquire driving road surface information from current vehicle driving environment data, acquire driving condition information based on the driving road surface information, and generate a projection direction adjustment instruction based on the driving condition information; Generate an LED projection solution according to the brightness mode switching instruction and the projection direction adjustment instruction.

[0064] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0065] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0066] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A motorcycle LED projection method for sensing environment, characterized in that: The motorcycle LED projection method for sensing environment comprises: Obtain a vehicle startup message, obtain an LED lamp bead startup instruction from the vehicle startup message, and obtain current vehicle driving environment data in real time; Acquire a current lighting environment from the current vehicle driving environment data, and generate a brightness mode switching instruction according to the current lighting environment; Acquire driving road surface information from the current vehicle driving environment data, acquire driving condition information according to the driving road surface information, and generate a projection direction adjustment instruction according to the driving condition information; An LED projection scheme is generated according to the brightness mode switching instruction and the projection direction adjustment instruction.

2. The motorcycle LED projection method for sensing environment according to claim 1, characterized in that: The obtaining of the vehicle startup message, obtaining the LED lamp bead startup instruction from the vehicle startup message, and obtaining the current vehicle driving environment data in real time specifically include: According to the LED lamp bead start-up instruction, a vehicle lighting image is acquired, and vehicle lighting feedback data is obtained by identifying the vehicle lighting image; Extracting image clarity features from the vehicle lighting feedback data, and identifying image reflection features and driving picture features based on the image clarity features; The current vehicle driving environment data is generated according to the image reflection characteristics and the driving picture characteristics.

3. The motorcycle LED projection method for sensing environment according to claim 2, characterized in that: The acquiring the current lighting environment from the current vehicle driving environment data and generating a brightness mode switching instruction according to the current lighting environment specifically includes: Performing driving weather recognition on the image reflective features to obtain a driving weather recognition result; Acquire driving rainfall data from the driving weather recognition result, and calculate the current lighting environment according to the driving rainfall data; The brightness mode switching instruction is generated according to the driving rainfall data in the current lighting environment.

4. The motorcycle LED projection method for sensing environment according to claim 2, characterized in that: The acquiring driving road surface information from the current vehicle driving environment data, acquiring driving condition information according to the driving road surface information, and generating a projection direction adjustment instruction according to the driving condition information specifically includes: Acquire road surface roughness information from driving picture features in the current vehicle driving environment data, and generate the driving road surface information according to the road surface roughness information; The vehicle driving state data is acquired, and the driving condition information is generated according to the vehicle driving state data and the driving road surface information.

5. The motorcycle LED projection method for sensing environment according to claim 4, characterized in that: The acquiring of the vehicle driving state data and generating the driving condition information according to the vehicle driving state data and the driving road surface information specifically includes: Acquiring vehicle gyroscope data, and generating a driving stability level according to the vehicle gyroscope data; Acquire vehicle stability abnormality data and vehicle abnormality duration for each of the vehicle stability abnormality data from the driving stability degree; The vehicle driving state data is generated according to the vehicle stability abnormality data and the vehicle abnormality duration.

6. A motorcycle LED projection device for sensing the environment, characterized in that: The motorcycle LED projection device for sensing the environment comprises: A driving environment acquisition module is used to obtain a vehicle startup message, obtain an LED lamp bead startup instruction from the vehicle startup message, and obtain current vehicle driving environment data in real time; A brightness switching control module, used to obtain a current lighting environment from the current vehicle driving environment data, and generate a brightness mode switching instruction according to the current lighting environment; a projection mode adjustment module, configured to obtain driving road surface information from the current vehicle driving environment data, obtain driving condition information according to the driving road surface information, and generate a projection direction adjustment instruction according to the driving condition information; The LED lamp projection control module is used to generate an LED projection scheme according to the brightness mode switching instruction and the projection direction adjustment instruction.

7. The motorcycle LED projection device for sensing environment according to claim 6, characterized in that: The brightness switching control module comprises: A lighting feedback acquisition submodule, used to acquire a vehicle lighting image according to the LED lamp bead start-up instruction, and identify and obtain vehicle lighting feedback data from the vehicle lighting image; An image feature extraction submodule, used to extract image clarity features from the vehicle lighting feedback data, and obtain image reflection features and driving picture features according to the image clarity features; The environmental data acquisition submodule is used to generate the current vehicle driving environment data according to the image reflection characteristics and the driving picture characteristics.

8. The motorcycle LED projection device for sensing environment according to claim 7, characterized in that: The brightness switching control module comprises: A weather recognition submodule, used to perform driving weather recognition on the image reflective features to obtain a driving weather recognition result; A lighting condition acquisition submodule, used to acquire driving rainfall data from the driving weather recognition result, and calculate the current lighting environment according to the driving rainfall data; The mode switching submodule is used to generate the brightness mode switching instruction according to the driving rainfall data in the current lighting environment.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the motorcycle LED projection method for perceiving the environment as described in any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the motorcycle LED projection method for sensing the environment as claimed in any one of claims 1 to 5 are implemented.

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