Steering lamp self-adaptive control method, device and equipment based on steering wheel rotation and storage medium

Abstract

The invention discloses a steering lamp self-adaptive control method, device and equipment based on steering wheel rotation and a storage medium, and relates to the technical field of automobile control. The steering lamp self-adaptive control method based on steering wheel rotation is applied to a steering wheel on a vehicle, and the steering wheel comprises a steering wheel angle sensor. The steering lamp self-adaptive control method based on steering wheel rotation comprises the steps that a target steering lamp control model is obtained; obtaining initial steering wheel rotation data based on the steering wheel angle sensor; and based on the target steering lamp control model and the initial steering wheel rotation data, a target steering lamp working state is obtained, and steering lamp self-adaptive control is completed according to the target steering lamp working state. Through the steering wheel angle sensor and the target steering lamp control model, the sensitivity can be dynamically adjusted according to the steering habit of the driver, accurate judgment of the steering intention of the driver is achieved, and driving convenience and safety are enhanced.

Description

Technical Field

[0001] This application relates to the field of vehicle control technology, and particularly to an adaptive control method, device, equipment and storage medium for a turn signal based on steering wheel rotation. Background Art

[0002] With the increase in the number of automobiles and the complexity of road conditions, driving safety has become the focus of social attention. During vehicle driving, correctly and timely using the turn signal is of great significance for preventing traffic accidents and improving road use efficiency. When the driver performs a turning operation, they need to manually turn on or off the turn signal to prompt other vehicles and pedestrians. However, this operation method is prone to improper use of the turn signal in case of emergencies or when the driver's attention is distracted, increasing the risk of traffic accidents.

[0003] Currently, most vehicles on the market still rely on the driver to manually operate the turn signal. When the driver needs to turn, they must manually toggle the turn signal switch to prompt the surrounding vehicles and pedestrians. In addition, some high-end models or vehicle stability control systems (such as the ESP system) assist in judging the vehicle's turning intention and automatically activate the turn signal. These systems usually rely on complex vehicle dynamic data calculations to achieve the recognition of the turning intention.

[0004] However, there are some obvious problems in the prior art. First, the method of manually operating the turn signal may cause the driver to forget or fail to operate in a timely manner in case of emergencies or when distracted, thus increasing potential safety hazards during driving. Second, the automatic turn signal activation scheme relying on the vehicle stability control system has a high cost and is not sensitive enough in non-intense driving turning scenarios, with problems of misjudgment or delayed activation. These problems limit the correctness and timeliness of turn signal use and affect road driving safety. Therefore, how to achieve a rapid response of the turn signal and reduce misoperations has become an urgent problem to be solved. Summary of the Invention

[0005] The purpose of this application is to provide an adaptive control method, device, equipment and storage medium for a turn signal based on steering wheel rotation, aiming to solve the technical problem of how to achieve a rapid response of the turn signal and reduce misoperations.

[0006] To achieve the above object, this application proposes an adaptive control method for a turn signal based on steering wheel rotation. The adaptive control method for a turn signal based on steering wheel rotation is applied to the steering wheel on a vehicle. The steering wheel includes a steering wheel angle sensor. The adaptive control method for a turn signal based on steering wheel rotation includes:

[0007] Obtain a target turn signal control model;

[0008] Obtain the initial steering wheel rotation data based on the steering wheel angle sensor;

[0009] Based on the target turn signal control model and the initial steering wheel rotation data, obtain the target turn signal working state, and complete the adaptive control of the turn signal according to the target turn signal working state.

[0010] In one embodiment, based on the target turn signal control model and the initial steering wheel rotation data, obtaining the target turn signal working state, and completing the adaptive control of the turn signal according to the target turn signal working state includes:

[0011] Obtain the steering wheel rotation direction and the steering wheel rotation angle according to the initial steering wheel rotation data;

[0012] Obtain the target turn signal working state according to the steering wheel rotation direction, the steering wheel rotation angle, and the target turn signal control model;

[0013] Complete the adaptive control of the turn signal based on the target turn signal working state.

[0014] In one embodiment, obtaining the target turn signal working state according to the steering wheel rotation direction, the steering wheel rotation angle, and the target turn signal control model includes:

[0015] Obtain the current state of the turn signal;

[0016] When the current state of the turn signal is off, obtain the first target rotation angle threshold according to the target turn signal control model;

[0017] When the steering wheel rotation angle is greater than or equal to the first target rotation angle threshold, determine that the target turn signal working state is that the turn signal consistent with the steering wheel rotation direction is on.

[0018] In one embodiment, after the step of obtaining the current state of the turn signal, it further includes:

[0019] When the current state of the turn signal is on, obtain the current turn signal direction according to the current state of the turn signal, and obtain the second target rotation angle threshold according to the target turn signal control model;

[0020] When the current turn signal direction is inconsistent with the steering wheel rotation direction and the steering wheel rotation angle is greater than or equal to the second target rotation angle threshold, determine that the target turn signal working state is that the turn signal in the on state is off.

[0021] In one embodiment, before the step of determining that the target turn signal operating state is to turn off the turn signal that is in the on state when the current turn signal direction is inconsistent with the steering wheel rotation direction and the steering wheel rotation angle is greater than or equal to the second target rotation angle threshold, the method further includes:

[0022] When the current turn signal direction is consistent with the steering wheel rotation direction, it is determined that the target turn signal operating state remains on;

[0023] When the current turn signal direction is inconsistent with the steering wheel rotation direction and the steering wheel rotation angle is less than the second target rotation angle threshold, it is determined that the target turn signal operating state remains on.

[0024] In one embodiment, before the step of obtaining the target turn signal control model, the method further includes:

[0025] Obtain an initial turn signal control model and sensor data, where the sensor data includes historical steering wheel data and vehicle pose data;

[0026] Based on the historical steering wheel data and the vehicle pose data, obtain training data and validation data, where the validation data is calibrated based on the training data;

[0027] Through the initial turn signal control model and the training data, obtain a first initial rotation angle threshold and a second initial rotation angle threshold;

[0028] Based on the validation data, the first initial rotation angle threshold, and the second initial rotation angle threshold, obtain the target turn signal control model.

[0029] In one embodiment, obtaining the target turn signal control model based on the validation data, the first initial rotation angle threshold, and the second initial rotation angle threshold includes:

[0030] Obtain the weight coefficients of the initial turn signal control model;

[0031] Based on the validation data, obtain a labeled angle threshold;

[0032] Based on the first initial rotation angle threshold, the second initial rotation angle threshold, and the labeled angle threshold, obtain an angle loss value;

[0033] Adjust the initial turn signal control model according to the angle loss value and the weight coefficients until the initial turn signal control model converges to obtain the target turn signal control model.

[0034] In addition, to achieve the above object, the present application further provides a turn signal adaptive control device based on steering wheel rotation, and the device includes:

[0035] An acquisition module, configured to acquire a target turn signal control model;

[0036] A obtaining module, configured to obtain initial steering wheel rotation data based on a steering wheel angle sensor;

[0037] A completion module, configured to obtain a target turn signal working state based on the target turn signal control model and the initial steering wheel rotation data, and complete the adaptive control of the turn signal according to the target turn signal working state.

[0038] In addition, to achieve the above object, the present application further provides a turn signal adaptive control device based on steering wheel rotation. The device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor. The computer program is configured to implement the steps of the turn signal adaptive control method based on steering wheel rotation as described above.

[0039] In addition, to achieve the above object, the present application further provides a storage medium. The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the turn signal adaptive control method based on steering wheel rotation as described above are implemented.

[0040] In addition, to achieve the above object, the present application further provides a computer program product. The computer program product includes a computer program. When the computer program is executed by a processor, the steps of the turn signal adaptive control method based on steering wheel rotation as described above are implemented.

[0041] One or more technical solutions proposed by the present application have at least the following technical effects:

[0042] The present application first acquires a preset target turn signal control model, which is the basis of the turn signal control logic and is used for subsequent turn signal state judgment and control. Then, the angle sensor installed on the steering wheel is used to monitor the rotation angle and direction of the steering wheel in real time, and the initial steering wheel rotation data is obtained, providing a basis for the judgment of the steering intention. Finally, by combining the preset control model and the real-time obtained steering wheel rotation data, the current steering intention can be judged, and the working state of the turn signal can be determined accordingly. The present application can achieve the adaptive control of the turn signal, that is, automatically turn on or off the turn signal according to the actual steering operation of the driver. This method not only improves the accuracy and timeliness of the use of the turn signal, reduces the safety hazards caused by the driver forgetting to operate or misoperating, but also through adaptive learning, can dynamically adjust the sensitivity of the turn signal activation according to the driving habits of the driver, further improving the safety and convenience of driving. Description of the Drawings

[0043] The accompanying drawings herein are incorporated into and constitute a part of this specification, showing embodiments consistent with the present application and, together with the specification, are used to explain the principles of the present application.

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0045] Figure 1 It is a schematic flowchart provided for the first embodiment of the method for adaptive control of turn signals based on the rotation of the steering wheel in the present application;

[0046] Figure 2 It is a schematic flowchart provided for the second embodiment of the method for adaptive control of turn signals based on the rotation of the steering wheel in the present application;

[0047] Figure 3 It is a schematic module structure diagram of the device for adaptive control of turn signals based on the rotation of the steering wheel in the embodiments of the present application;

[0048] Figure 4 It is a schematic device structure diagram of the hardware operating environment involved in the method for adaptive control of turn signals based on the rotation of the steering wheel in the embodiments of the present application.

[0049] The realization of the objectives, functional features, and advantages of the present application will be further described in combination with the embodiments with reference to the accompanying drawings. Detailed Embodiments

[0050] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0051] In order to better understand the technical solutions of the present application, the following will be described in detail in combination with the drawings in the specification and the specific embodiments.

[0052] With the increase in the number of automobiles and the complexity of road conditions, driving safety has become the focus of social attention. During vehicle driving, the correct and timely use of turn signals is of great significance for preventing traffic accidents and improving road use efficiency. When a driver makes a turning operation, they need to manually turn on or off the turn signals to alert other vehicles and pedestrians. However, this operation method is prone to improper use of turn signals in case of emergencies or when the driver's attention is distracted, increasing the risk of traffic accidents. Currently, most vehicles on the market still rely on drivers to manually operate the turn signals. When a driver needs to turn, they must manually toggle the turn signal switch to alert the surrounding vehicles and pedestrians. In addition, some high-end models may assist in judging the vehicle's turning intention through a vehicle stability control system (such as the ESP system) and automatically activate the turn signals. These systems usually rely on complex vehicle dynamic data calculations to achieve the recognition of turning intentions. However, there are some obvious problems in the existing technologies. First, the method of manually operating the turn signals may cause the driver to forget or fail to operate in a timely manner in case of emergencies or when distracted, thus increasing potential driving safety hazards. Second, the automatic turn signal activation scheme relying on the vehicle stability control system has a high cost and is not sensitive enough in non-intense driving turning scenarios, with problems such as misjudgment or delayed activation. These problems limit the correctness and timeliness of turn signal use and affect road driving safety.

[0053] The main solution of the embodiment of this application is as follows: First, this embodiment obtains a preset target turn signal control model, which is the basis of the turn signal control logic and is used for subsequent turn signal state judgment and control. Then, the rotation angle and direction of the steering wheel are monitored in real time through an angle sensor installed on the steering wheel to obtain the initial steering wheel rotation data, providing a basis for judging the turning intention. Finally, by combining the preset control model and the real-time obtained steering wheel rotation data, the current turning intention can be judged, and the working state of the turn signals can be determined accordingly. This embodiment can achieve the adaptive control of turn signals, that is, automatically turn on or off the turn signals according to the driver's actual turning operation. This method not only improves the accuracy and timeliness of turn signal use, reducing potential safety hazards caused by the driver forgetting to operate or misoperating, but also through adaptive learning, can dynamically adjust the sensitivity of turn signal activation according to the driver's driving habits, further enhancing driving safety and convenience.

[0054] It should be noted that the execution subject of the embodiment of this application can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, an electronic control unit, etc. that can implement the above functions. Hereinafter, taking the electronic control unit as an example, this embodiment and the following embodiments will be described.

[0055] Based on this, an embodiment of the present application provides a method for adaptively controlling a turn signal based on the rotation of the steering wheel. Refer to Figure 1 , Figure 1 which is a schematic flowchart of the first embodiment of the method for adaptively controlling a turn signal based on the rotation of the steering wheel in the present application.

[0056] In this embodiment, the method for adaptively controlling a turn signal based on the rotation of the steering wheel is applied to the steering wheel of a vehicle. The steering wheel includes a steering wheel angle sensor. The method for adaptively controlling a turn signal based on the rotation of the steering wheel includes steps S10 to S30:

[0057] Step S10, obtain a target turn signal control model;

[0058] It should be noted that the target turn signal control model can be a predefined algorithm or rule set, which is used to determine when and how to control the turning on and off of the turn signal according to the rotation of the steering wheel. This model is usually based on a series of parameters and logical judgments, including but not limited to: the turn signal activation threshold, which determines how many degrees (threshold) the steering wheel needs to rotate to trigger the automatic turning on of the turn signal; the turn signal off condition, which defines the condition for the turn signal to automatically turn off when the steering wheel returns to the middle position or within a specific angle range; the steering intention recognition, which includes the logic for recognizing the driver's steering intention, such as distinguishing different scenarios such as normal turning and emergency avoidance; the adaptive learning parameters, which are used to adjust the threshold and response sensitivity according to the driver's habits. The target turn signal control model is a very crucial part in implementing the method for adaptively controlling a turn signal, which directly affects the response accuracy and driving safety. By accurately setting and continuously optimizing this model, it can be ensured that the turn signal automatically turns on and off at the correct time, reducing the driver's operation burden and improving driving safety.

[0059] It can be understood that a target turn signal control model based on a preset algorithm is determined. This model includes the logical relationship and control rules between the steering wheel rotation angle and the turn signal state, and is used to guide how to judge and execute the automatic turning on and off operations of the turn signal according to the actual rotation data of the steering wheel, so as to realize the intelligent control of the turn signal.

[0060] As an example, before the step of obtaining the target turn signal control model, it further includes: obtaining an initial turn signal control model and sensor data, where the sensor data includes historical steering wheel data and vehicle pose data; obtaining training data and verification data according to the historical steering wheel data and the vehicle pose data, and the verification data is calibrated based on the training data; obtaining a first initial rotation angle threshold and a second initial rotation angle threshold through the initial turn signal control model and the training data; obtaining the target turn signal control model according to the verification data, the first initial rotation angle threshold and the second initial rotation angle threshold.

[0061] Among them, the initial turn signal control model can be a basic algorithm or rule set for preliminarily judging the relationship between the steering wheel rotation and the turn signal state. It serves as the starting point of the adaptive control system and will be adjusted and optimized according to actual data later. The sensor data includes historical steering wheel data and vehicle pose data, which can be collected from the vehicle's sensors and used to analyze and learn the driver's steering habits and the vehicle's dynamic response. The historical steering wheel data can record the angle changes when the driver operated the steering wheel in the past, including the direction and amplitude of the rotation, and this data helps to analyze the driver's steering habits. The vehicle pose data can involve the position and attitude information of the vehicle during turning, such as vehicle speed, acceleration, etc., and this data is crucial for understanding the vehicle's dynamic behavior and the way it responds to steering operations. The training data can be a data set extracted from the historical steering wheel data and vehicle pose data for training the initial turn signal control model. Through this data, the model can learn how to predict and control the turn signal state based on the rotation of the steering wheel. The validation data can be a data set used to evaluate the performance of the trained model. These data are calibrated based on the training data but do not participate in the training process. The validation data helps to determine the accuracy and reliability of the model and ensure that the model can work effectively in actual applications. The first initial rotation angle threshold can be an angle value obtained based on the training data. When the rotation angle of the steering wheel reaches or exceeds this value, it is judged as a steering operation that requires turning on the turn signal. The second initial rotation angle threshold can correspond to the first initial rotation angle threshold. This value is used to judge that when the rotation angle of the steering wheel decreases to a certain extent, the turn signal should be turned off, that is, the steering operation is completed.

[0062] Specifically, first collect historical steering wheel data and vehicle pose data from the vehicle's sensors, and these data are used to generate training data and validation data. The training data is used to adjust and optimize the initial turn signal control model, while the validation data is used to test and calibrate the accuracy of the model. Through the training data, two key initial rotation angle thresholds can be determined, namely the first initial rotation angle threshold and the second initial rotation angle threshold, and these two thresholds represent the conditions for turning on and off the turn signal respectively. Finally, combining the validation data and these two thresholds can generate a more accurate target turn signal control model, which can adaptively control the turn signal to improve driving safety and response sensitivity.

[0063] As an example, based on the verification data, the first initial rotation angle threshold, and the second initial rotation angle threshold, a target turn signal control model is obtained, including: obtaining the weight coefficients of the initial turn signal control model; obtaining the labeled angle threshold based on the verification data; obtaining an angle loss value according to the first initial rotation angle threshold, the second initial rotation angle threshold, and the labeled angle threshold; and adjusting the initial turn signal control model according to the angle loss value and the weight coefficients until the initial turn signal control model converges to obtain the target turn signal control model.

[0064] Among them, the weight coefficients can be the influence magnitudes of various parameters or features in the initial turn signal control model in the model. These coefficients determine the influence degree of different factors on the final result during the model calculation process. By adjusting the weight coefficients, the prediction accuracy of the model can be optimized to make it more in line with the actual driving situation. The labeled angle threshold can be a reference value obtained based on the verification data, used to determine the precise point at which the turn signal should be activated or deactivated when the steering wheel is rotated to a specific angle. The labeled angle threshold is determined by analyzing the successful and failed cases in the verification data, which helps the model more accurately identify the steering intention. The angle loss value can be the difference between the turn signal activation angle predicted by the model and the actual labeled angle threshold. This value measures the prediction accuracy of the model, that is, the deviation between the turn signal activation timing predicted by the model and the actual required activation timing. The smaller the angle loss value, the more accurate the model prediction.

[0065] Specifically, by using the verification data, a labeled angle threshold, that is, the ideal steering wheel rotation angle, can be obtained to determine the turning on and off of the turn signal. The angle loss value refers to the difference between the angle predicted by the model and the actual labeled angle, and this value reflects the prediction accuracy of the model. Using the angle loss value and the weight coefficients to adjust the initial model aims to reduce the prediction error and improve the accuracy of the model. This process will be iterated continuously until the initial turn signal control model stabilizes, that is, the model converges. At this time, the obtained model can accurately control the turning on and off of the turn signal according to the rotation of the steering wheel, and this is the target turn signal control model.

[0066] Step S20, obtaining initial steering wheel rotation data based on the steering wheel angle sensor;

[0067] It should be noted that the initial steering wheel rotation data can be the original data on the steering wheel rotation collected in real time by an angle sensor installed on the steering wheel. These data include, but are not limited to: the rotation angle, which is the angle size of the steering wheel rotation starting from the central position, and can be an absolute angle value or an angle change value relative to the previous measurement; the rotation direction, which is the rotation direction of the steering wheel, usually divided into left turn and right turn; the rotation speed, which is the speed of the steering wheel rotation, that is, the angular velocity; and the timestamp, which is the specific time point when each steering wheel rotation data is collected and is used to record the timing information of the data. These initial data are the basis for subsequent processing and analysis. They are used to identify the driver's steering intention and serve as the key input for determining whether to activate the turn signal. Through the analysis of these data, it is possible to determine when and how to control the turning on and off of the turn signal to achieve the adaptive control of the turn signal.

[0068] It can be understood that the rotation information of the steering wheel, including parameters such as the rotation angle size, direction, and speed, is captured in real time by using an angle sensor installed on the steering wheel. These data serve as the basis for subsequent analysis and judgment, are used to identify the driver's steering intention, and then control the automatic turning on and off of the turn signal.

[0069] Step S30: Based on the target turn signal control model and the initial steering wheel rotation data, obtain the target turn signal working state, and complete the adaptive control of the turn signal according to the target turn signal working state.

[0070] It should be noted that the target turn signal working state can be the working mode that the turn signal should be in, calculated and determined according to a preset target turn signal control model and the initial steering wheel rotation data obtained from the steering wheel angle sensor. The target turn signal working state is the decision result made based on real-time data and preset logic. It directly guides the actual control actions of the turn signal to ensure the correct use of the turn signal and improve driving safety.

[0071] It can be understood that the target turn signal control model contains preset algorithms and thresholds for identifying the driver's steering intention. By analyzing the rotation direction and angle of the steering wheel and comparing them with the parameters in the model, it is judged whether the turn signal should be turned on, turned off, or maintained in the current state. Based on this judgment, the corresponding control commands are executed to complete the adaptive control of the turn signal, ensuring that the turn signal can be used timely and accurately in various driving situations and improving road driving safety.

[0072] This embodiment provides a method for adaptive control of turn signals based on the rotation of the steering wheel. In this embodiment, a preset target turn signal control model is first obtained. This model is the basis of the turn signal control logic and is used for subsequent judgment and control of the turn signal state. Then, the rotation angle and direction of the steering wheel are monitored in real time through an angle sensor installed on the steering wheel to obtain the initial steering wheel rotation data, providing a basis for judging the steering intention. Finally, by combining the preset control model and the real-time obtained steering wheel rotation data, the current steering intention can be judged, and the working state of the turn signal can be determined accordingly. This embodiment can achieve the adaptive control of turn signals, that is, automatically turn on or off the turn signals according to the actual steering operation of the driver. This method not only improves the accuracy and timeliness of turn signal use, reduces safety hazards caused by drivers forgetting to operate or misoperating, but also through adaptive learning, can dynamically adjust the sensitivity of turn signal activation according to the driving habits of drivers, further enhancing driving safety and convenience.

[0073] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar content as in the above-mentioned first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 2 , Figure 2 which is a schematic flowchart of the second embodiment of the method for adaptive control of turn signals based on the rotation of the steering wheel in the present application. The step S30 of the method for adaptive control of turn signals based on the rotation of the steering wheel includes steps S31 to S33:

[0074] Step S31, obtaining the steering wheel rotation direction and the steering wheel rotation angle according to the initial steering wheel rotation data;

[0075] It should be noted that the steering wheel rotation direction can be the specific direction when the driver rotates the steering wheel, usually divided into left turn and right turn. This information is crucial for determining the turning direction that the vehicle is about to take, because it is directly related to the turn signals that need to be activated (left or right). The steering wheel rotation angle can be the angle size of the steering wheel starting from its central position (usually the straight-ahead position). This angle can be an absolute value, representing the specific degree of deviation from the central position; it can also be a relative value, representing the change in angle since the last measurement. The size of the rotation angle helps to judge the amplitude of the turn, thereby determining whether to activate the turn signals and the time for which the turn signals need to remain activated. These two parameters are the basic inputs for the turn signal adaptive control system to make logical judgments and control decisions, and based on these data, it is determined when the turn signals should be automatically turned on or off to improve driving safety and convenience.

[0076] It can be understood that the specific direction (left or right) and the angle size (the deviation angle calculated from the central position) when the driver turns the steering wheel are monitored and recorded in real time through the angle sensor installed on the steering wheel. These two parameters are the key basis for the system to judge the driver's steering intention and execute the adaptive control of the turn signal.

[0077] Step S32: Obtain the target turn signal working state according to the steering wheel rotation direction, the steering wheel rotation angle, and the target turn signal control model.

[0078] It can be understood that the working state of the turn signal is determined by using the steering wheel rotation direction and angle data in combination with a preset target turn signal control model. By analyzing the steering wheel rotation direction (left or right) and rotation angle (the degree of deviation from the central position), and then comparing these data with the preset logic and thresholds in the target turn signal control model, it is judged whether the turn signal should be turned on, turned off, or maintain the current state in the current situation. This judgment result is the so-called "target turn signal working state", which directly guides the system's automatic control of the turn signal.

[0079] As an example, obtaining the target turn signal working state according to the steering wheel rotation direction, the steering wheel rotation angle, and the target turn signal control model includes: obtaining the current state of the turn signal; when the current state of the turn signal is off, obtaining the first target rotation angle threshold according to the target turn signal control model; when the steering wheel rotation angle is greater than or equal to the first target rotation angle threshold, determining that the target turn signal working state is the turn signal on that is consistent with the steering wheel rotation direction.

[0080] Among them, the current state of the turn signal can be the actual working state of the turn signal at a certain moment, that is, in the on state or off state. Understanding this state is crucial for deciding whether to change the working state of the turn signal. The first target rotation angle threshold can be a preset angle value determined by the target turn signal control model. When the steering wheel rotation angle reaches or exceeds this threshold, it is considered that the driver has a clear steering intention, and the corresponding turn signal is triggered to turn on accordingly. This threshold is determined based on historical data and learning algorithms to distinguish between minor steering wheel adjustments and real steering operations. The turn signal on that is consistent with the steering wheel rotation direction can be to determine which side of the turn signal should be activated according to the steering wheel rotation direction. If the steering wheel turns to the left, the left turn signal should be turned on; if the steering wheel turns to the right, the right turn signal should be turned on. Such a design ensures that the indication of the turn signal is consistent with the driver's steering intention and the actual steering direction of the vehicle, thereby improving driving safety.

[0081] Specifically, first, check the current state of the turn signals. If they are off, a specific first target rotation angle threshold will be determined according to the target turn signal control model. This threshold is the minimum angle by which the steering wheel needs to be rotated to trigger the automatic activation of the turn signals. When the actual rotation angle of the steering wheel reaches or exceeds this preset threshold, it will be determined that the driver has a clear turning intention, and based on this, the working state of the target turn signal will be determined, that is, activate the turn signal that is in the same direction as the rotation direction of the steering wheel (if the steering wheel turns to the left, turn on the left turn signal; if the steering wheel turns to the right, turn on the right turn signal) to send a turning signal to other road users.

[0082] As an example, after the step of obtaining the current state of the turn signals, it further includes: when the current state of the turn signals is on, obtain the current turn signal direction according to the current state of the turn signals, and obtain a second target rotation angle threshold according to the target turn signal control model; when the current turn signal direction is inconsistent with the rotation direction of the steering wheel and the rotation angle of the steering wheel is greater than or equal to the second target rotation angle threshold, determine that the working state of the target turn signal is that the turn signal in the on state is turned off.

[0083] Among them, the current turn signal direction can be whether the currently turned-on turn signal is on the left or right side. Knowing this information is crucial for deciding whether to change the state of the turn signals or turn off the turn signals in the opposite direction. The second target rotation angle threshold can be a preset angle value determined by the target turn signal control model. When the rotation angle of the steering wheel reaches or exceeds this threshold and the current turn signal direction is inconsistent with the rotation direction of the steering wheel, it will be considered that the driver intends to change the driving direction of the vehicle, so it is necessary to turn off the currently turned-on turn signal. This threshold is used to distinguish between minor steering wheel adjustments and actual direction change operations. Turning off the turn signal in the on state can be that when it is detected that the rotation direction of the steering wheel is inconsistent with the direction of the currently turned-on turn signal and the rotation angle of the steering wheel reaches or exceeds the second target rotation angle threshold, the turned-on turn signal will be turned off. This operation ensures the correct use of the turn signals and prevents other road users from misunderstanding the driving intention of the vehicle due to misoperations caused by the driver's operation of the steering wheel.

[0084] Specifically, when the turn signals are in the on state, it will identify which side of the turn signals is lit and obtain the second target rotation angle threshold from the target turn signal control model. If it is detected that the rotation direction of the steering wheel is inconsistent with the direction of the lit turn signal and the rotation angle of the steering wheel reaches or exceeds this second target rotation angle threshold, it will be determined that the driver intends to change the driving direction, and thus determine that the working state of the target turn signal is to turn off the currently turned-on turn signal to ensure that the indication of the turn signal matches the actual turning operation of the driver and avoid misleading other road users.

[0085] As an example, before the step of determining that the target turn signal operating state is to turn off the turn signal that is in the on state when the current turn signal direction is inconsistent with the steering wheel rotation direction and the steering wheel rotation angle is greater than or equal to the second target rotation angle threshold, it further includes: when the current turn signal direction is consistent with the steering wheel rotation direction, determining that the target turn signal operating state is to remain on; when the current turn signal direction is inconsistent with the steering wheel rotation direction and the steering wheel rotation angle is less than the second target rotation angle threshold, determining that the target turn signal operating state is to remain on.

[0086] Among them, remaining on means that when the evaluation result shows that the current turn signal state should continue to be maintained in the activated state, no operation to turn off the turn signal will be performed. Specifically: If the direction of the already turned-on turn signal is consistent with the rotation direction indicated by the driver through the steering wheel, it is considered that the driver's intention is to continue turning in the same direction, so it will be determined that the target turn signal operating state is to remain on, that is, to maintain the activated state of the current turn signal; when the current turn signal direction is inconsistent with the steering wheel rotation direction but the rotation angle is less than the second target rotation angle threshold, it remains on. Even if the steering wheel rotation direction is inconsistent with the direction of the already turned-on turn signal, if the steering wheel rotation angle does not reach the second target rotation angle threshold, it may be judged that this rotation is not sufficient to indicate that the driver has a clear turning intention, or it may just be a minor adjustment of the direction rather than a real turning action. In this case, it will also be determined that the target turn signal operating state is to remain on, that is, not to change the current turn signal state.

[0087] Specifically, when it is detected that the rotation direction of the steering wheel is consistent with the direction of the currently turned-on turn signal, it is judged that the driver's intention is to continue turning in the same direction, so it is decided to keep the current turn signal on; similarly, if the rotation direction of the steering wheel is inconsistent with the direction of the already turned-on turn signal, but the rotation angle is less than the second target rotation angle threshold, it will be considered that this slight rotation is not sufficient to indicate that the driver has the intention to change direction, and it may just be a minor adjustment of the direction, so it is also decided to keep the current turn signal on until a more definite turning action occurs. Such a design aims to reduce misoperations and unnecessary turn signal switch actions, ensuring more accurate and safe use of turn signals.

[0088] Step S33, complete the adaptive control of the turn signal based on the target turn signal operating state.

[0089] It is understandable that after determining the working state of the target turn signal (i.e., whether the turn signal should be on, off, or maintain the current state), corresponding control commands will be automatically executed according to this state to achieve the adaptive control of the turn signal. This means that based on the steering wheel rotation data and the preset control model, the turn signal will be automatically turned on or off, or the current state of the turn signal will be maintained when necessary, to ensure the correct use of the turn signal, improve driving safety and convenience. This process is dynamic, continuously monitoring the rotation of the steering wheel and adjusting the state of the turn signal according to real-time data to adapt to the driver's operation and changes in road conditions.

[0090] In this embodiment, first, the steering wheel angle sensor is used to accurately capture the rotation direction and angle of the steering wheel, providing accurate input data for subsequent turn signal control. Then, combining the rotation direction and angle of the steering wheel and the target turn signal control model, the current steering intention is judged, and based on this, the working state that the turn signal should be in, such as on, off, or maintaining the current state, is determined. Finally, according to the working state of the target turn signal, the control command of the turn signal is automatically executed to achieve the adaptive control of the turn signal, ensuring that the turn signal can be used timely and accurately in various driving situations. By continuously monitoring the rotation direction and angle of the steering wheel in real time, this embodiment can understand the driver's steering intention. Then, using the target turn signal control model, these intentions are converted into specific turn signal control commands. Finally, these commands are automatically executed to achieve the intelligent control of the turn signal, improving driving safety, reducing the driver's operation burden, and adapting to the habits of different drivers and road conditions. It not only improves the response speed and accuracy but also optimizes the driving experience through adaptive learning, ensuring the correct use of the turn signal in various situations.

[0091] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the method for adaptive control of turn signals based on steering wheel rotation in this application. Any simple transformations in more forms based on this technical concept are within the protection scope of this application.

[0092] This application also provides an adaptive control device for turn signals based on steering wheel rotation. Please refer to Figure 3 , the adaptive control device for turn signals based on steering wheel rotation includes:

[0093] An acquisition module 10, configured to acquire a target turn signal control model;

[0094] A obtaining module 20, configured to obtain initial steering wheel rotation data based on a steering wheel angle sensor;

[0095] The completion module 30 is configured to obtain a target turn signal working state based on the target turn signal control model and the initial steering wheel rotation data, and complete the adaptive control of the turn signal according to the target turn signal working state.

[0096] The turn signal adaptive control device based on steering wheel rotation provided by this application adopts the turn signal adaptive control method in the above embodiment, and can solve the technical problem of how to achieve a rapid response of the turn signal and reduce misoperations. Compared with the prior art, the beneficial effects of the turn signal adaptive control device based on steering wheel rotation provided by this application are the same as those of the turn signal adaptive control method provided by the above embodiment, and other technical features in the turn signal adaptive control device based on steering wheel rotation are the same as the features disclosed in the method of the above embodiment, and will not be elaborated here.

[0097] In one embodiment, the completion module 30 is further configured to obtain the steering wheel rotation direction and the steering wheel rotation angle according to the initial steering wheel rotation data; obtain the target turn signal working state according to the steering wheel rotation direction, the steering wheel rotation angle, and the target turn signal control model; and complete the adaptive control of the turn signal based on the target turn signal working state.

[0098] In one embodiment, the completion module 30 is further configured to obtain the current state of the turn signal; when the current state of the turn signal is off, obtain a first target rotation angle threshold according to the target turn signal control model; and when the steering wheel rotation angle is greater than or equal to the first target rotation angle threshold, determine that the target turn signal working state is the turn signal that is on and is consistent with the steering wheel rotation direction.

[0099] In one embodiment, the completion module 30 is further configured to, when the current state of the turn signal is on, obtain the current turn signal direction according to the current state of the turn signal, and obtain a second target rotation angle threshold according to the target turn signal control model; and when the current turn signal direction is inconsistent with the steering wheel rotation direction and the steering wheel rotation angle is greater than or equal to the second target rotation angle threshold, determine that the target turn signal working state is the turn signal that is on and is turned off.

[0100] In one embodiment, the completion module 30 is further configured to, when the current turn signal direction is consistent with the steering wheel rotation direction, determine that the target turn signal working state is to remain on; and when the current turn signal direction is inconsistent with the steering wheel rotation direction and the steering wheel rotation angle is less than the second target rotation angle threshold, determine that the target turn signal working state is to remain on.

[0101] In one embodiment, the obtaining module 10 is further configured to obtain an initial turn signal control model and sensor data, where the sensor data includes historical steering wheel data and vehicle pose data; obtain training data and verification data according to the historical steering wheel data and the vehicle pose data, and the verification data is calibrated based on the training data; obtain a first initial rotation angle threshold and a second initial rotation angle threshold through the initial turn signal control model and the training data; and obtain a target turn signal control model according to the verification data, the first initial rotation angle threshold, and the second initial rotation angle threshold.

[0102] In one embodiment, the obtaining module 10 is further configured to obtain the weight coefficients of the initial turn signal control model; obtain a labeled angle threshold based on the verification data; obtain an angle loss value according to the first initial rotation angle threshold, the second initial rotation angle threshold, and the labeled angle threshold; and adjust the initial turn signal control model according to the angle loss value and the weight coefficients until the initial turn signal control model converges to obtain a target turn signal control model.

[0103] The present application provides a turn signal adaptive control device based on steering wheel rotation. The turn signal adaptive control device based on steering wheel rotation includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the turn signal adaptive control method based on steering wheel rotation in the first embodiment above.

[0104] Reference is made below Figure 4 , which shows a schematic structural diagram of a turn signal adaptive control device based on steering wheel rotation suitable for implementing the embodiments of the present application. The turn signal adaptive control device based on steering wheel rotation in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions: tablet computers), PMPs (Portable Media Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The turn signal adaptive control device based on steering wheel rotation shown is only an example and should not impose any limitations on the functions and usage scopes of the embodiments of the present application.

[0105] As Figure 4As shown, the turn signal adaptive control device based on steering wheel rotation may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the turn signal adaptive control device based on steering wheel rotation are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 may allow the turn signal adaptive control device based on steering wheel rotation to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows a turn signal adaptive control device with various systems, it should be understood that it is not required to implement or have all the shown systems. More or fewer systems may be implemented or had alternatively.

[0106] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network through the communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above functions defined in the methods of the embodiments disclosed in the present application are executed.

[0107] The turn signal adaptive control device based on steering wheel rotation provided by this application adopts the turn signal adaptive control method based on steering wheel rotation in the above-mentioned embodiment, and can solve the technical problem of how to achieve rapid response of the turn signal and reduce misoperations. Compared with the prior art, the beneficial effects of the turn signal adaptive control device based on steering wheel rotation provided by this application are the same as those of the turn signal adaptive control method based on steering wheel rotation provided by the above-mentioned embodiment, and other technical features in the turn signal adaptive control device based on steering wheel rotation are the same as the features disclosed in the method of the previous embodiment, and will not be elaborated here.

[0108] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0109] As mentioned above, the above are only specific implementation manners of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0110] This application provides a computer-readable storage medium with computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the turn signal adaptive control method based on steering wheel rotation in the above-mentioned embodiment.

[0111] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, device, or component. The program code contained on the computer-readable storage medium can be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0112] The above computer-readable storage medium can be included in the turn signal adaptive control device based on steering wheel rotation; it can also exist independently without being assembled into the turn signal adaptive control device based on steering wheel rotation.

[0113] The above computer-readable storage medium carries one or more programs. When the above one or more programs are executed by the turn signal adaptive control device based on steering wheel rotation, the turn signal adaptive control device based on steering wheel rotation is enabled to: obtain a target turn signal control model; obtain initial steering wheel rotation data based on the steering wheel angle sensor; obtain a target turn signal working state based on the target turn signal control model and the initial steering wheel rotation data, and complete turn signal adaptive control according to the target turn signal working state.

[0114] Computer program code for performing the operations of this application can be written in one or more programming languages or combinations thereof. The above-mentioned programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0115] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0116] The modules described in the embodiments of this application can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.

[0117] The readable storage medium provided by this application is a computer-readable storage medium. The computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for performing the above-mentioned turn signal adaptive control method based on steering wheel rotation, and can solve the technical problem of how to achieve a rapid response of the turn signal and reduce misoperations. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this application are the same as those of the turn signal adaptive control method based on steering wheel rotation provided by the above embodiments, and will not be elaborated here.

[0118] The present application also provides a computer program product, including a computer program which, when executed by a processor, implements the steps of the above-mentioned adaptive control method for the turn signal based on the steering wheel rotation.

[0119] The computer program product provided by the present application can solve the technical problem of how to achieve a rapid response of the turn signal and reduce misoperations. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as those of the above-mentioned adaptive control method for the turn signal based on the steering wheel rotation, and will not be elaborated here.

[0120] The above are only partial embodiments of the present application, and thus do not limit the patent scope of the present application. Any equivalent structural transformation made under the technical concept of the present application by using the content of the specification and drawings of the present application, or any direct / indirect application in other relevant technical fields, is included in the patent protection scope of the present application.

Claims

1. An adaptive control method for turn signals based on steering wheel rotation, characterized in that, The above-mentioned adaptive control method for turn signals based on steering wheel rotation is applied to the steering wheel of a vehicle. The steering wheel includes a steering wheel angle sensor. The adaptive control method for turn signals based on steering wheel rotation includes: Obtain a target turn signal control model; Obtain initial steering wheel rotation data based on the steering wheel angle sensor; Based on the target turn signal control model and the initial steering wheel rotation data, obtain the target turn signal working state, and complete the adaptive control of the turn signals according to the target turn signal working state.

2. The method according to claim 1, characterized in that, The step of obtaining the target turn signal working state based on the target turn signal control model and the initial steering wheel rotation data, and completing the adaptive control of the turn signals according to the target turn signal working state includes: Obtain the steering wheel rotation direction and the steering wheel rotation angle according to the initial steering wheel rotation data; Obtain the target turn signal working state according to the steering wheel rotation direction, the steering wheel rotation angle and the target turn signal control model; Complete the adaptive control of the turn signals based on the target turn signal working state.

3. The method according to claim 2, wherein The step of obtaining the target turn signal working state according to the steering wheel rotation direction, the steering wheel rotation angle and the target turn signal control model includes: Obtain the current state of the turn signals; When the current state of the turn signals is off, obtain the first target rotation angle threshold according to the target turn signal control model; When the steering wheel rotation angle is greater than or equal to the first target rotation angle threshold, determine that the target turn signal working state is the turn signal corresponding to the steering wheel rotation direction is turned on.

4. The method according to claim 3, characterized in that, After the step of obtaining the current state of the turn signals, it further includes: When the current state of the turn signals is on, obtain the current turn signal direction according to the current state of the turn signals, and obtain the second target rotation angle threshold according to the target turn signal control model; When the current turn signal direction is inconsistent with the steering wheel rotation direction and the steering wheel rotation angle is greater than or equal to the second target rotation angle threshold, determine that the target turn signal working state is the turn signal in the on state is turned off.

5. The method according to claim 4, wherein Before the step of determining that the target turn signal working state is the turn signal in the on state is turned off when the current turn signal direction is inconsistent with the steering wheel rotation direction and the steering wheel rotation angle is greater than or equal to the second target rotation angle threshold, it further includes: When the current turn signal direction is consistent with the steering wheel rotation direction, determine that the target turn signal working state is to remain on; When the current turn signal direction is inconsistent with the steering wheel rotation direction and the steering wheel rotation angle is less than the second target rotation angle threshold, determine that the target turn signal working state is to remain on.

6. The method according to claim 1, characterized in that, Before the step of obtaining the target turn signal control model, it further includes: Obtain an initial turn signal control model and sensor data, where the sensor data includes historical steering wheel data and vehicle pose data; Obtain training data and verification data according to the historical steering wheel data and the vehicle pose data, and the verification data is calibrated based on the training data; Based on the initial turn signal control model and the training data, obtain a first initial rotation angle threshold and a second initial rotation angle threshold; Based on the validation data, the first initial rotation angle threshold, and the second initial rotation angle threshold, obtain a target turn signal control model.

7. The method according to claim 6, characterized in that, The step of obtaining the target turn signal control model based on the validation data, the first initial rotation angle threshold, and the second initial rotation angle threshold includes: Obtain the weight coefficients of the initial turn signal control model; Based on the validation data, obtain a labeled angle threshold; According to the first initial rotation angle threshold, the second initial rotation angle threshold, and the labeled angle threshold, obtain an angle loss value; Adjust the initial turn signal control model according to the angle loss value and the weight coefficients until the initial turn signal control model converges to obtain a target turn signal control model.

8. An adaptive control device for a turn signal based on the rotation of a steering wheel, characterized in that The device includes: An acquisition module for acquiring a target turn signal control model; A obtaining module for obtaining initial steering wheel rotation data based on a steering wheel angle sensor; A completion module for obtaining a target turn signal working state based on the target turn signal control model and the initial steering wheel rotation data, and completing the adaptive control of the turn signal according to the target turn signal working state.

9. An adaptive control device for a turn signal based on steering wheel rotation, characterized in that, The device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the method for adaptive control of turn signals based on steering wheel rotation according to any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, it implements the steps of the method for adaptive control of turn signals based on steering wheel rotation according to any one of claims 1 to 7.

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