Method, device and computer program product for rear vehicle high beam warning

Abstract

This invention discloses a method, device, equipment, and computer program product for alerting following vehicles to high beams. The method includes: acquiring first driving state parameters of a target vehicle and rear radar detection information, light intensity information, and road image information; determining whether there is a vehicle traveling in the same direction behind based on the radar detection information; if a vehicle traveling in the same direction is present, determining second driving state parameters of the vehicle and determining whether the vehicle has its high beams on based on the road image information; if the vehicle has its high beams on, predicting a high beam interference risk value based on the first driving state parameters, the second driving state parameters, and the light intensity information; and if the high beam interference risk value exceeds a risk threshold, sending a high beam off alert from the target vehicle to the vehicle traveling in the same direction. This invention reduces the safety risk to the driver of the target vehicle caused by interference from the high beams of following vehicles traveling in the same direction, improves vehicle driving safety, and can be applied to the field of vehicle monitoring technology.

Description

Technical Field

[0001] This invention relates to the field of vehicle monitoring technology, and in particular to a method, device, equipment, and computer program product for alerting vehicles behind you to their high beams. Background Technology

[0002] When driving at night, the strong reflection of high beams from vehicles behind can interfere with the vision of drivers in front, causing glare, visual fatigue, and significantly increasing the risk of rear-end collisions and other traffic accidents, seriously threatening driving safety. Currently, solutions to this problem are relatively simple, mainly relying on drivers in front manually controlling their parking lights and brake lights to alert the vehicle behind. However, this method has several drawbacks: firstly, the signals are unclear, and different drivers may misunderstand them, leading to ineffective alerts; secondly, manual operation can distract drivers, further increasing driving risks; and thirdly, there is a lack of effective intervention methods for drivers behind who do not notice the signal warnings.

[0003] The above problems urgently need to be addressed. Summary of the Invention

[0004] The purpose of this invention is to at least partially solve one of the technical problems existing in the prior art.

[0005] Therefore, one objective of this invention is to provide a method for alerting following vehicles to their high beams. When a following vehicle traveling in the same direction is detected to have its high beams on, the method predicts the risk of interference from the high beams of the following vehicle to the target vehicle based on a first driving state parameter of the target vehicle, a second driving state parameter of the following vehicle, and light intensity information behind the target vehicle. Then, when the high beam interference risk is too high, a high beam off alert is sent to the following vehicle traveling in the same direction via V2X. This allows the following vehicle to quickly and accurately know the target vehicle's need to turn off its high beams, thereby reducing the safety risk to the driver of the target vehicle caused by interference from the high beams of the following vehicle and improving driving safety.

[0006] Another objective of this invention is to provide a device for reminding vehicles behind of their high beams.

[0007] To achieve the above-mentioned technical objectives, the technical solutions adopted in the embodiments of the present invention include: On one hand, embodiments of the present invention provide a method for reminding vehicles behind of their high beams, comprising the following steps: Acquire the first driving state parameters of the target vehicle, as well as the radar detection information, light intensity information, and road image information behind the target vehicle; Based on the radar detection information, determine whether there are vehicles traveling in the same direction behind the target vehicle; When there is a vehicle traveling in the same direction behind the target vehicle, determine the second driving status parameters of the vehicle traveling in the same direction, and determine whether the vehicle traveling in the same direction has turned on its high beams based on the road image information. When the vehicle traveling in the same direction has turned on its high beams, the risk value of the high beam interference of the vehicle traveling in the same direction to the target vehicle is predicted based on the first driving state parameter, the second driving state parameter and the light intensity information. When the risk value of high beam interference exceeds the risk threshold corresponding to the current driving environment, the target vehicle sends a high beam off reminder to the vehicle traveling in the same direction via V2X.

[0008] Furthermore, in one embodiment of the present invention, determining whether there are vehicles traveling in the same direction behind the target vehicle based on the radar detection information specifically includes: Based on the radar detection information, several moving targets behind the target vehicle are identified, and the direction of movement of the moving targets, as well as the relative distance and relative speed between the moving targets and the target vehicle, are determined. When the angle between the moving direction of the moving target and the moving direction of the target vehicle is less than or equal to a preset angle threshold, the relative distance is less than or equal to a preset distance threshold, and the relative speed is less than or equal to a preset speed threshold, it is determined that there is a vehicle moving in the same direction behind the target vehicle.

[0009] Furthermore, in one embodiment of the present invention, determining whether the vehicle traveling in the same direction has turned on its high beams based on the road image information specifically includes: Extract the headlight area image of the vehicle traveling in the same direction based on the road image information; The headlight area image is input into a preset headlight state recognition model to obtain the headlight state recognition result of the vehicle traveling in the same direction; Based on the headlight status recognition result, it is determined whether the vehicle traveling in the same direction has turned on its high beams.

[0010] Furthermore, in one embodiment of the present invention, predicting the risk value of high beam interference between the same-direction vehicle and the target vehicle based on the first driving state parameter, the second driving state parameter, and the light intensity information specifically includes: The first driving state parameter, the second driving state parameter, and the light intensity information are input into a pre-trained high beam interference risk prediction model to obtain the high beam interference risk value. The high beam interference risk prediction model is trained through the following steps: Obtain the first driving state sample of the current test vehicle and the light intensity sample behind the current test vehicle in the test scenario, and obtain the second driving state sample of the test vehicle in the same direction behind it. Training samples are determined based on the first driving state sample, the second driving state sample, and the light intensity sample, and corresponding high beam interference risk labels are determined by manual annotation. The training samples are input into the initialized gradient boosting decision tree to obtain the predicted value of high beam interference risk; The prediction residual is determined based on the predicted value of high beam interference risk and the high beam interference risk label; Train a target decision tree to fit the predicted residuals, and update the gradient boosting decision tree based on the target decision tree; When the number of decision trees in the gradient boosting decision tree reaches a preset threshold, or the prediction residual is less than or equal to a preset residual threshold, training stops, and the current gradient boosting decision tree is used as the trained high beam interference risk prediction model.

[0011] Furthermore, in one embodiment of the present invention, the step of sending a high beam turn-off reminder from the target vehicle to the vehicle traveling in the same direction via V2X when the high beam interference risk value is greater than the risk threshold corresponding to the current driving environment specifically includes: The current ambient light intensity of the target vehicle is obtained, and the corresponding risk threshold is determined based on the current ambient light intensity. When the high beam interference risk value is greater than the risk threshold, data to be transmitted is generated based on the target vehicle's vehicle identification, current location, current driving status, and the high beam interference risk value. The data to be transmitted is then signed and encrypted to obtain the high beam off reminder. The high beams off reminder is broadcast via V2X to the direction of the vehicle traveling in the same direction.

[0012] Furthermore, in one embodiment of the present invention, the method for reminding following vehicles of their high beams further includes the following steps: When the vehicle behind receives the high beams off reminder, it decrypts and verifies the high beams off reminder to obtain the target vehicle's vehicle identification, current location, current driving status, and high beams interference risk value. When the vehicle behind is in manual driving mode, a high beam off prompt message is generated based on the target vehicle's vehicle identification, current location, current driving status, and high beam interference risk value, and the high beam off prompt message is broadcast. When the vehicle behind is in autonomous driving mode, the high beams of the vehicle behind are turned off or their brightness is reduced according to the high beam interference risk value.

[0013] Furthermore, in one embodiment of the present invention, after sending a high beam turn-off reminder from the target vehicle to the vehicle traveling in the same direction via V2X, the method further includes: If the target vehicle does not receive a response from the vehicle traveling in the same direction to turn off its high beams within a preset response time, the target vehicle is controlled to flash its lights to remind the other vehicle according to a preset reminder rule.

[0014] On the other hand, embodiments of the present invention provide a rear vehicle high beam warning device, comprising: The information acquisition module is used to acquire the first driving state parameters of the target vehicle, as well as radar detection information, light intensity information, and road image information behind the target vehicle. The same-direction vehicle detection module is used to determine whether there are same-direction vehicles behind the target vehicle based on the radar detection information. The high beam status determination module is used to determine the second driving status parameters of the vehicle traveling in the same direction when there is a vehicle traveling in the same direction behind the target vehicle, and to determine whether the vehicle traveling in the same direction has turned on its high beams based on the road image information. The high beam interference risk prediction module is used to predict the high beam interference risk value of the same-direction vehicle to the target vehicle based on the first driving state parameter, the second driving state parameter and the light intensity information when the same-direction vehicle has turned on its high beams. The high beam off reminder module is used to send a high beam off reminder to the vehicle traveling in the same direction via V2X when the high beam interference risk value is greater than the risk threshold corresponding to the current driving environment.

[0015] On the other hand, embodiments of the present invention provide an electronic device, including: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the above-described method for reminding vehicles behind of their high beams.

[0016] On the other hand, embodiments of the present invention also provide a computer-readable storage medium storing a processor-executable computer program that, when executed by a processor, implements the above-described method for reminding vehicles behind of their high beams.

[0017] On the other hand, embodiments of the present invention also provide a computer program product, including a computer program that, when executed by a processor, implements the above-described method for reminding vehicles behind of their high beams.

[0018] The advantages and beneficial effects of the present invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention: This invention acquires the first driving state parameters of the target vehicle, as well as radar detection information, light intensity information, and road image information behind the target vehicle. Based on the radar detection information, it determines whether there is a vehicle traveling in the same direction behind the target vehicle. If there is a vehicle traveling in the same direction behind the target vehicle, it determines the second driving state parameters of the vehicle traveling in the same direction and determines whether the vehicle traveling in the same direction has turned on its high beams based on the road image information. If the vehicle traveling in the same direction has turned on its high beams, it predicts the high beam interference risk value of the vehicle traveling in the same direction to the target vehicle based on the first driving state parameters, the second driving state parameters, and the light intensity information. If the high beam interference risk value is greater than the risk threshold corresponding to the current driving environment, the target vehicle sends a high beam turning-off reminder to the vehicle traveling in the same direction via V2X. In this embodiment of the invention, when a vehicle traveling in the same direction behind is detected to have its high beams on, the risk value of high beam interference from the target vehicle is predicted based on the target vehicle's first driving state parameters, the vehicle's second driving state parameters, and the light intensity information behind the target vehicle. Then, when the high beam interference risk value is too high, a high beam turning-off reminder is sent to the vehicle traveling in the same direction behind via V2X. This allows the vehicle traveling in the same direction behind to quickly and accurately know the target vehicle's need to turn off its high beams, thereby reducing the safety risk caused by the target vehicle's driver being interfered with by the high beams of the vehicle traveling in the same direction behind, and improving the vehicle's driving safety. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments of the present invention are described below. It should be understood that the drawings described below are only for the convenience of clearly describing some embodiments of the technical solutions of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 A flowchart illustrating the steps of a method for alerting following vehicles to high beams, as provided in an embodiment of the present invention; Figure 2 A structural block diagram of a rear vehicle high beam warning device provided in an embodiment of the present invention; Figure 3 This is a structural block diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of this invention; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this invention as detailed in the appended claims.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to limit the invention.

[0023] The rear vehicle high beam reminder method provided in this invention can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or in-vehicle terminal, but is not limited to these. The server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network. The software can be an application that implements the rear vehicle high beam reminder method, but is not limited to the above forms.

[0024] This invention can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This invention can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This invention can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0025] It should be noted that in various specific embodiments of the present invention, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user parking space location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards. In addition, when embodiments of the present invention require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirection to a confirmation page. Only after obtaining the user's separate permission or consent is the necessary user-related data for the normal operation of the embodiments of the present invention acquired.

[0026] Reference Figure 1 This invention provides a method for alerting following vehicles with their high beams, specifically including the following steps: S101. Obtain the first driving status parameters of the target vehicle, as well as radar detection information, light intensity information, and road image information behind the target vehicle. S102. Determine whether there are vehicles traveling in the same direction behind the target vehicle based on radar detection information; S103. When there are vehicles traveling in the same direction behind the target vehicle, determine the second driving status parameters of the vehicles traveling in the same direction, and determine whether the vehicles traveling in the same direction have turned on their high beams based on the road image information. S104. When a vehicle traveling in the same direction has turned on its high beams, predict the risk value of the high beam interference of the vehicle traveling in the same direction to the target vehicle based on the first driving state parameter, the second driving state parameter and the light intensity information. S105. When the risk value of high beam interference is greater than the risk threshold corresponding to the current driving environment, a high beam turning-off reminder is sent from the target vehicle to vehicles traveling in the same direction via V2X.

[0027] Specifically, in this embodiment of the invention, the multi-source sensing unit at the rear of the vehicle obtains rear environmental information, identifies vehicles traveling in the same direction behind, and determines whether their high beams are on. If it is confirmed that the following vehicle has its high beams on, the leading vehicle sends a high beam-off request command to the following vehicle via a V2X communication unit. After receiving the command, the following vehicle issues a warning to the driver via an onboard reminder unit or automatically switches to low beams after authorization. The leading vehicle receives the response feedback from the following vehicle, completing the closed-loop reminder process. The specific process is as follows: 1) The vehicle in front activates the rearward perception mode and collects rear environmental data through the multi-source perception unit at the rear. The environmental data includes radar detection information, light intensity information and road image information behind the vehicle. 2) Perform multi-source fusion analysis based on environmental data to determine whether there are vehicles following in the same direction behind, and whether such vehicles have their high beams on. 3) If it is determined that the following vehicle has turned on its high beams, the risk value of the following vehicle's high beam interference to the following vehicle is predicted based on the first driving state parameters of the preceding vehicle, the second driving state parameters of the following vehicle, and the light intensity information behind the preceding vehicle. When the high beam interference risk value is greater than the risk threshold corresponding to the current driving environment, the preceding vehicle generates a high beam turn-off request command, which carries the preceding vehicle's identity information, location information, and timestamp. 4) The vehicle in front broadcasts a request to turn off high beams to the vehicle behind in a low-latency manner via the V2X communication unit; 5) The following vehicle receives the instruction and verifies its identity. Once the verification is successful, it sends a warning to the driver to turn off the high beams via the vehicle-mounted reminder unit. 6) After the following vehicle completes the high beam switching operation, it sends a response feedback to the preceding vehicle through its V2X communication unit. The preceding vehicle ends the reminder process after receiving the feedback.

[0028] It is understood that, when the embodiments of the present invention detect that a vehicle traveling in the same direction behind has turned on its high beams, the invention predicts the risk value of high beam interference from the target vehicle based on the target vehicle's first driving state parameters, the target vehicle's second driving state parameters, and the light intensity information behind the target vehicle. Then, when the high beam interference risk value is too high, the invention sends a high beam turning-off reminder to the target vehicle based on V2X. This allows the target vehicle to quickly and accurately know the target vehicle's need to turn off its high beams, thereby reducing the safety risk caused by the target vehicle's driver being interfered with by the high beams of the vehicle traveling in the same direction behind, and improving the vehicle's driving safety.

[0029] In some optional embodiments, core dynamic data such as current vehicle speed, steering wheel angle, vehicle gear, mileage, braking status, and turn signal status are read from the target vehicle's CAN bus to obtain the target vehicle's first driving state parameters; radar detection information behind the vehicle is collected by millimeter-wave radar (or lidar) on the target vehicle's rear bumper; light intensity information behind the vehicle is collected by a light sensor installed at the rear of the target vehicle; and road image information behind the vehicle is collected by a rearview camera of the target vehicle.

[0030] As a further optional implementation, the system determines whether there are vehicles traveling in the same direction behind the target vehicle based on radar detection information, specifically including: S1021. Based on radar detection information, identify several moving targets behind the target vehicle, and determine the direction of movement of the moving targets, as well as the relative distance and relative speed between the moving targets and the target vehicle. S1022. When the angle between the moving direction of the moving target and the moving direction of the target vehicle is less than or equal to a preset angle threshold, the relative distance is less than or equal to a preset distance threshold, and the relative speed is less than or equal to a preset speed threshold, it is determined that there is a vehicle moving in the same direction behind the target vehicle.

[0031] Specifically, target selection and attribute judgment are performed based on radar detection information. First, several moving targets within the radar detection range are extracted, and the movement direction of each moving target, as well as the relative distance and relative speed between the moving target and the target vehicle, are determined. Then, it is determined whether the angle between the movement direction of the moving target and the movement direction of the target vehicle is less than or equal to a preset angle threshold (e.g., 30°), whether the relative distance is less than or equal to a preset distance threshold (e.g., 300 meters), and whether the relative speed is less than or equal to a preset speed threshold (e.g., 10 km / h). If the moving target meets the above conditions, it is determined that there is a vehicle traveling in the same direction behind the target vehicle. In addition, the absolute speed (vehicle speed + relative speed), real-time distance to the vehicle, relative acceleration, and other information of the vehicle traveling in the same direction are calculated using radar data to obtain the second driving state parameters of the vehicle traveling in the same direction behind.

[0032] As a further optional implementation, determining whether vehicles traveling in the same direction have turned on their high beams based on road image information specifically includes: S1031. Extract the headlight area images of vehicles traveling in the same direction based on road image information; S1032. Input the headlight area image into the preset headlight state recognition model to obtain the headlight state recognition result of vehicles traveling in the same direction. S1033. Determine whether vehicles traveling in the same direction have turned on their high beams based on the headlight status recognition results.

[0033] Specifically, the images captured by the rearview camera are intelligently analyzed to extract the headlight area of ​​vehicles traveling in the same direction, and the light source is separated through image segmentation technology. The headlight area image is then input into a preset headlight status recognition model to obtain the headlight status recognition result of vehicles traveling in the same direction, thereby determining whether the vehicles behind have turned on their high beams.

[0034] It should be noted that the vehicle headlight status recognition model can be pre-trained based on a large number of vehicle headlight image samples, which will not be elaborated here in the embodiments of the present invention.

[0035] As a further optional implementation, the risk value of high beam interference from vehicles traveling in the same direction to the target vehicle is predicted based on the first driving state parameters, the second driving state parameters, and light intensity information. Specifically, this includes: The first driving state parameters, the second driving state parameters, and the light intensity information are input into the pre-trained high beam interference risk prediction model to obtain the high beam interference risk value. The high beam interference risk prediction model is trained through the following steps: S201. Obtain the first driving state sample of the current test vehicle and the light intensity sample behind the current test vehicle in the test scenario, and obtain the second driving state sample of the test vehicle in the same direction behind it. S202. Determine training samples based on the first driving state sample, the second driving state sample, and the light intensity sample, and determine the corresponding high beam interference risk labels through manual annotation. S203. Input the training samples into the initialized gradient boosting decision tree to obtain the predicted value of high beam interference risk; S204. Determine the prediction residuals based on the predicted value of high beam interference risk and the high beam interference risk label; S205. Train the target decision tree to fit the prediction residuals, and update the gradient boosting decision tree based on the target decision tree. S206. When the number of decision trees in the gradient boosting decision tree reaches a preset threshold, or the prediction residual is less than or equal to a preset residual threshold, training is stopped, and the current gradient boosting decision tree is used as the trained high beam interference risk prediction model.

[0036] Specifically, after confirming that vehicles traveling in the same direction have turned on their high beams, the first driving state parameters, the second driving state parameters, and the light intensity information are input into a pre-trained high beam interference risk prediction model. This model is then converted into a quantifiable high beam interference risk value, which reflects the potential impact of the high beams from vehicles traveling in the same direction on the driver of the target vehicle during subsequent driving. The training process of the high beam interference risk prediction model is as follows: 1) Obtain the first driving state sample of the current test vehicle and the light intensity sample behind the current test vehicle in the test scenario, and obtain the second driving state sample of the test vehicle in the same direction behind it. 2) Training samples were determined based on the first driving state sample, the second driving state sample, and the light intensity sample, and the corresponding high beam interference risk labels were determined by manual annotation; 3) Input the training samples into the initialized gradient boosting decision tree, and use the mean risk value of all samples as the initial prediction value to obtain the predicted value of high beam interference risk. 4) At each iteration, calculate the residual (i.e., prediction error) between the current model prediction and the actual risk value. 5) Use the residual as the new training objective to train a new decision tree. The goal of this tree is to fit the error of the previous round. 6) Update the gradient boosting decision tree based on the target decision tree, and use the learning rate to control the contribution of each tree to avoid model overfitting; 7) Repeat the above process until the preset number of decision trees is reached, or the residual is reduced to an acceptable range. Stop training and use the current gradient boosting decision tree as the trained high beam interference risk prediction model.

[0037] As a further optional implementation, when the risk value of high beam interference exceeds the risk threshold corresponding to the current driving environment, the target vehicle sends a high beam off reminder to vehicles traveling in the same direction via V2X. This specifically includes: S1051. Obtain the current ambient light intensity of the target vehicle and determine the corresponding risk threshold based on the current ambient light intensity. S1052. When the high beam interference risk value is greater than the risk threshold, generate data to be transmitted based on the target vehicle's vehicle identification, current location, current driving status and high beam interference risk value, and sign and encrypt the data to be transmitted to obtain a high beam off reminder. S1053. Broadcast a reminder to turn off high beams to vehicles traveling in the same direction via V2X.

[0038] Specifically, the risk threshold in this embodiment of the invention is not a fixed value, but is dynamically adjusted according to the ambient light intensity: when the ambient light is below 5 lux at night, the risk threshold is set to 60; during dusk or dawn (ambient light 5-50 lux), the risk threshold is set to 70.

[0039] When the risk value of high beam interference exceeds the risk threshold, the target vehicle's identification ID, current location, driving status, and high beam interference risk value are packaged into a V2X standard format message to ensure the uniqueness and traceability of the instruction. At the same time, the security chip built into the target vehicle encrypts the instruction and uses digital signature technology to authenticate the target vehicle's identity information to prevent the instruction from being tampered with or forged.

[0040] The target vehicle broadcasts a reminder to turn off high beams to the area behind it via the V2X communication unit with low latency. The V2X communication unit uses the PC5 direct link of C-V2X and operates in the dedicated 5.9GHz frequency band with a communication latency of ≤100ms. This ensures that the command is delivered to the target vehicle quickly and stably. It also supports multi-link redundancy and priority scheduling, improving communication reliability in complex scenarios such as high-speed movement and obstruction.

[0041] As a further optional implementation, the method for reminding vehicles behind to use their high beams also includes the following steps: S106. When a vehicle behind receives a high beam off reminder, the high beam off reminder is decrypted and verified to obtain the target vehicle's vehicle identification, current location, current driving status, and high beam interference risk value. S107. When the vehicle behind is in manual driving mode, generate a high beam off prompt message based on the target vehicle's vehicle identification, current location, current driving status, and high beam interference risk value, and broadcast the high beam off prompt message. S108. When the vehicle behind is in autonomous driving mode, control the high beams of the vehicle behind to turn off or reduce their brightness based on the high beam interference risk value.

[0042] Specifically, the following vehicle receives instructions through its V2X communication unit and transmits them to the authentication unit. The authentication unit has a built-in decryption module that decrypts the received instructions and verifies the legitimacy of the preceding vehicle's identity information. Once verified, it triggers the onboard reminder unit to issue a warning to the driver to turn off the high beams. The onboard reminder unit includes an instrument display module and a voice broadcast module. The warning message is displayed in a pop-up window on the instrument panel as "Your high beams are interfering with the driving of the vehicle in front. Please turn them off," while the same message is broadcast verbally to ensure that the driver can quickly perceive it. If the following vehicle is an autonomous vehicle or has activated automatic headlight control, the authentication unit will directly trigger the headlight control module to automatically control the following vehicle to turn off or reduce the brightness of its high beams based on the high beam interference risk value, without requiring manual operation by the driver.

[0043] After the following vehicle completes the high beam switching operation, it sends a response feedback to the preceding vehicle through its V2X communication unit. The feedback information includes the following vehicle's identity information, the high beam switching completion status, and a timestamp. After receiving the feedback, the preceding vehicle determines that the reminder process is complete and ends the reminder.

[0044] As a further optional implementation, after the target vehicle sends a high beam turn-off reminder to vehicles traveling in the same direction via V2X, the method further includes: S109. If the target vehicle does not receive a response from a vehicle traveling in the same direction to turn off its high beams within a preset response time, the target vehicle is controlled to flash its lights to remind the other vehicle according to a preset reminder rule.

[0045] Specifically, if no response (including signal response and actual operation response of turning off high beams) is received from a vehicle traveling in the same direction within the preset response time, the decision control module controls the vehicle's lighting system to perform a flashing warning operation. The flashing warning operation strictly follows road traffic safety regulations, ensuring that the duration of a single flash is ≤0.5 seconds, the flash interval is ≥1 second, the number of flashes is ≤3, and the flash power is less than 50% of the rated power of the high beams, so as to avoid continuous flashing or direct strong light on vehicles traveling in the same direction and prevent aggravation of glare interference.

[0046] The method steps of the embodiments of the present invention have been described above. It can be understood that, when the embodiments of the present invention detect that a vehicle traveling in the same direction behind has its high beams on, they predict the risk value of high beam interference from the target vehicle based on the target vehicle's first driving state parameters, the target vehicle's second driving state parameters, and the light intensity information behind the target vehicle. Then, when the high beam interference risk value is too high, a high beam off reminder is sent to the target vehicle behind via V2X. This allows the target vehicle to quickly and accurately know the target vehicle's need to turn off its high beams, thereby reducing the safety risk to the target vehicle's driver caused by high beam interference from the target vehicle behind, and improving vehicle driving safety.

[0047] Reference Figure 2 This invention provides a rear vehicle high beam warning device, comprising: The information acquisition module is used to acquire the first driving state parameters of the target vehicle, as well as radar detection information, light intensity information, and road image information behind the target vehicle. The same-direction vehicle detection module is used to determine whether there are vehicles traveling in the same direction behind the target vehicle based on radar detection information; The high beam status determination module is used to determine the second driving status parameters of the same-direction vehicle when there is a vehicle traveling in the same direction behind the target vehicle, and to determine whether the same-direction vehicle has turned on its high beams based on the road image information. The high beam interference risk prediction module is used to predict the high beam interference risk value of the same-direction vehicle to the target vehicle based on the first driving state parameters, the second driving state parameters, and the light intensity information when the same-direction vehicle has turned on its high beam. The high beam off reminder module is used to send a high beam off reminder to vehicles traveling in the same direction via V2X when the high beam interference risk value is greater than the risk threshold corresponding to the current driving environment.

[0048] It is understood that the content of the above method embodiments is applicable to the present device embodiments. The specific functions implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0049] Reference Figure 3 This invention provides an electronic device, comprising: At least one processor; At least one memory for storing at least one program; When the above-mentioned at least one program is executed by the above-mentioned at least one processor, the above-mentioned at least one processor implements the above-mentioned method for reminding vehicles behind of their high beams.

[0050] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0051] This invention also provides a computer-readable storage medium storing a processor-executable computer program that, when executed by a processor, implements the above-described method for reminding vehicles behind of their high beams.

[0052] This invention provides a computer-readable storage medium that can execute a rear vehicle high beam warning method provided in the method embodiments of this invention. It can execute any combination of the implementation steps of the method embodiments and has the corresponding functions and beneficial effects of the method.

[0053] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method for reminding vehicles behind of their high beams.

[0054] It is understood that the content of the above method embodiments is applicable to the embodiments of this program product. The specific functions implemented by the embodiments of this program product are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0055] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0056] The embodiments described in this invention are for the purpose of more clearly illustrating the technical solutions of the embodiments of this invention, and do not constitute a limitation on the technical solutions provided by the embodiments of this invention. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this invention are also applicable to similar technical problems.

[0057] The terms "first," "second," "third," "fourth," etc. (if present) in the specification and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0058] In some alternative embodiments, the functions / operations mentioned in the block diagrams may not occur in the order shown in the operation diagrams. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously, or the aforementioned blocks may sometimes be executed in reverse order. Furthermore, the embodiments presented and described in the flowcharts of this invention are provided by way of example to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and sub-operations described as part of a larger operation are executed independently.

[0059] Furthermore, although the invention has been described in the context of functional modules, it should be understood that, unless otherwise stated, one or more of the aforementioned functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the invention. Rather, given the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of the module will be understood within the scope of conventional skill of an engineer. Therefore, those skilled in the art can implement the invention as set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and not intended to limit the scope of the invention, which is determined by the full scope of the appended claims and their equivalents.

[0060] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0061] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0062] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the aforementioned program can be printed, because the aforementioned program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0063] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0064] In the foregoing description of this specification, references to terms such as "one embodiment," "another embodiment," or "some embodiments" indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0065] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

[0066] The above is a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of the present invention.

Claims

1. A method for alerting following vehicles with their high beams, characterized in that, Includes the following steps: Acquire the first driving state parameters of the target vehicle, as well as the radar detection information, light intensity information, and road image information behind the target vehicle; Based on the radar detection information, determine whether there are vehicles traveling in the same direction behind the target vehicle; When there is a vehicle traveling in the same direction behind the target vehicle, determine the second driving status parameters of the vehicle traveling in the same direction, and determine whether the vehicle traveling in the same direction has turned on its high beams based on the road image information. When the vehicle traveling in the same direction has turned on its high beams, the risk value of the high beam interference of the vehicle traveling in the same direction to the target vehicle is predicted based on the first driving state parameter, the second driving state parameter and the light intensity information. When the risk value of high beam interference exceeds the risk threshold corresponding to the current driving environment, the target vehicle sends a high beam off reminder to the vehicle traveling in the same direction via V2X.

2. The method for reminding vehicles behind of their high beams according to claim 1, characterized in that, The step of determining whether there are vehicles traveling in the same direction behind the target vehicle based on the radar detection information specifically includes: Based on the radar detection information, several moving targets behind the target vehicle are identified, and the direction of movement of the moving targets, as well as the relative distance and relative speed between the moving targets and the target vehicle, are determined. When the angle between the moving direction of the moving target and the moving direction of the target vehicle is less than or equal to a preset angle threshold, the relative distance is less than or equal to a preset distance threshold, and the relative speed is less than or equal to a preset speed threshold, it is determined that there is a vehicle moving in the same direction behind the target vehicle.

3. The method for reminding vehicles behind of their high beams according to claim 1, characterized in that, The step of determining whether the vehicle traveling in the same direction has turned on its high beams based on the road image information specifically includes: Extract the headlight area image of the vehicle traveling in the same direction based on the road image information; The headlight area image is input into a preset headlight state recognition model to obtain the headlight state recognition result of the vehicle traveling in the same direction; Based on the headlight status recognition result, it is determined whether the vehicle traveling in the same direction has turned on its high beams.

4. The method for reminding vehicles behind of their high beams according to claim 1, characterized in that, The step of predicting the risk value of high beam interference between the same-direction vehicle and the target vehicle based on the first driving state parameters, the second driving state parameters, and the light intensity information specifically includes: The first driving state parameter, the second driving state parameter, and the light intensity information are input into a pre-trained high beam interference risk prediction model to obtain the high beam interference risk value. The high beam interference risk prediction model is trained through the following steps: Obtain the first driving state sample of the current test vehicle and the light intensity sample behind the current test vehicle in the test scenario, and obtain the second driving state sample of the test vehicle in the same direction behind it. Training samples are determined based on the first driving state sample, the second driving state sample, and the light intensity sample, and corresponding high beam interference risk labels are determined by manual annotation. The training samples are input into the initialized gradient boosting decision tree to obtain the predicted value of high beam interference risk; The prediction residual is determined based on the predicted value of high beam interference risk and the high beam interference risk label; Train a target decision tree to fit the predicted residuals, and update the gradient boosting decision tree based on the target decision tree; When the number of decision trees in the gradient boosting decision tree reaches a preset threshold, or the prediction residual is less than or equal to a preset residual threshold, training stops, and the current gradient boosting decision tree is used as the trained high beam interference risk prediction model.

5. The method for reminding vehicles behind of their high beams according to claim 1, characterized in that, When the high beam interference risk value exceeds the risk threshold corresponding to the current driving environment, the target vehicle sends a high beam off reminder to the vehicle traveling in the same direction via V2X. This specifically includes: The current ambient light intensity of the target vehicle is obtained, and the corresponding risk threshold is determined based on the current ambient light intensity. When the high beam interference risk value is greater than the risk threshold, data to be transmitted is generated based on the target vehicle's vehicle identification, current location, current driving status, and the high beam interference risk value. The data to be transmitted is then signed and encrypted to obtain the high beam off reminder. The high beams off reminder is broadcast via V2X to the direction of the vehicle traveling in the same direction.

6. A method for reminding following vehicles of their high beams according to claim 5, characterized in that, The method for reminding vehicles behind to use their high beams also includes the following steps: When the vehicle behind receives the high beams off reminder, it decrypts and verifies the high beams off reminder to obtain the target vehicle's vehicle identification, current location, current driving status, and high beams interference risk value. When the vehicle behind is in manual driving mode, a high beam off prompt message is generated based on the target vehicle's vehicle identification, current location, current driving status, and high beam interference risk value, and the high beam off prompt message is broadcast. When the vehicle behind is in autonomous driving mode, the high beams of the vehicle behind are turned off or their brightness is reduced according to the high beam interference risk value.

7. A method for reminding following vehicles of their high beams according to any one of claims 1 to 6, characterized in that, After sending a high beam off reminder from the target vehicle to the vehicle traveling in the same direction via V2X, the method further includes: If the target vehicle does not receive a response from the vehicle traveling in the same direction to turn off its high beams within a preset response time, the target vehicle is controlled to flash its lights to remind the other vehicle according to a preset reminder rule.

8. A device for reminding vehicles behind of their high beams, characterized in that, include: The information acquisition module is used to acquire the first driving state parameters of the target vehicle, as well as radar detection information, light intensity information, and road image information behind the target vehicle. The same-direction vehicle detection module is used to determine whether there are same-direction vehicles behind the target vehicle based on the radar detection information. The high beam status determination module is used to determine the second driving status parameters of the vehicle traveling in the same direction when there is a vehicle traveling in the same direction behind the target vehicle, and to determine whether the vehicle traveling in the same direction has turned on its high beams based on the road image information. The high beam interference risk prediction module is used to predict the high beam interference risk value of the same-direction vehicle to the target vehicle based on the first driving state parameter, the second driving state parameter and the light intensity information when the same-direction vehicle has turned on its high beams. The high beam off reminder module is used to send a high beam off reminder to the vehicle traveling in the same direction via V2X when the high beam interference risk value is greater than the risk threshold corresponding to the current driving environment.

9. An electronic device, characterized in that, include: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements a method for alerting vehicles with high beams behind them as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements a method for reminding vehicles behind of their high beams as described in any one of claims 1 to 7.

Images