A door handle anti-pinch control method, device, equipment and storage medium

Abstract

The application provides a vehicle door handle anti-pinch control method, device and equipment and a storage medium, and the method comprises the following steps: collecting physiological characteristic information of a moving object, determining any moving object as a target object and obtaining target physiological characteristic information, matching the target physiological characteristic information with passenger information in a preset initial white list, issuing an addition white list request to generate an updated white list if the matching fails, further matching the updated white list, monitoring a current distance between the target object and a target vehicle if the matching is successful, and controlling the vehicle door handle to open if the current distance is less than or equal to a second preset distance. The identity of a person around the vehicle is verified by setting the white list, and the vehicle door handle is opened when the target object and the vehicle are within a preset distance after the verification is passed, so that the automatic control of the vehicle door handle is realized, the accidents caused by the untimely opening of the vehicle door handle are avoided, the anti-pinch of the vehicle door handle is realized, and the safety of the vehicle door handle is greatly improved.

Description

Technical Field

[0001] This application relates to the field of intelligent control technology, specifically to a method, device, equipment, and storage medium for preventing door handle pinching. Background Technology

[0002] While the hidden door handle design of new energy vehicles is novel and aesthetically pleasing, it poses a potential risk of pinching the fingers of drivers and passengers. Currently, new energy vehicles generally use sensor detection technology to avoid this risk. However, sensor detection is not foolproof and still has some obvious defects, which means that the risk of finger pinching has not been effectively controlled.

[0003] The primary problem is that the sensors have blind spots, failing to fully cover the area around the door handle. This means that when operating within these blind spots, the sensors cannot detect the presence of fingers in time, significantly increasing the risk of fingers being pinched. Secondly, the sensors require a certain threshold to be triggered and stop the door handle's closing action. This design can sometimes lead to delayed detection, especially at the moment a finger touches the handle. If the threshold is set too high, the sensor may not trigger even if the finger is partially trapped, thus failing to stop the door handle's movement in time and increasing the risk of pinching. Therefore, traditional sensor detection methods cannot achieve full-range sensing and recognition, leaving passengers with a significant risk of being pinched. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, this application provides a method, device, equipment and storage medium for preventing door handle pinching, in order to solve the above technical problems.

[0005] This application provides a method for preventing door handle pinching. The method includes: collecting physiological characteristic information of a moving object, wherein the moving object is within a preset distance threshold range around a target vehicle; identifying any moving object as a target object and obtaining target physiological characteristic information based on the physiological characteristic information of the target object; matching the target physiological characteristic information with passenger information in a preset initial whitelist; if the matching fails, issuing a request to add to the whitelist based on the target physiological characteristic information to generate an updated whitelist, and matching the target physiological characteristic information with the updated whitelist; if the matching is successful, continuously monitoring a first current distance between the target object and the target vehicle; when the first current distance is less than or equal to a preset door handle triggering distance threshold, controlling the door handle to open to achieve anti-pinch control of the door handle; the successful matching includes successful matching with the preset initial whitelist or successful matching with the updated whitelist.

[0006] In one embodiment of this application, the method further includes: collecting physiological characteristic information of the vehicle controller and establishing characteristic data based on the physiological characteristic information of the vehicle controller; establishing an initial whitelist based on the characteristic data and granting the vehicle controller whitelist management permissions.

[0007] In one embodiment of this application, the whitelist management authority includes adding to the whitelist and deleting from the whitelist. Issuing a whitelist addition request based on the target physiological characteristic information to generate an updated whitelist includes: sending the collected target physiological characteristic information to the driver's terminal to trigger the driver's terminal to verify the physiological characteristic information; determining the verified target physiological characteristic information as the physiological characteristic information of a potential passenger, and adding the physiological characteristic information of the potential passenger to the initial whitelist to generate an updated whitelist.

[0008] In one embodiment of this application, the intended passengers include temporary passengers and long-term passengers. Adding the physiological characteristic information of the intended passengers to the initial whitelist further includes: if the target is a temporary passenger, after the target gets off the vehicle, monitoring the distance between the target and the target vehicle; if the distance is greater than or equal to a preset whitelist deletion distance threshold, then deleting the target from the updated whitelist; if the target is a long-term passenger, then retaining the target in the updated whitelist until the vehicle control manually deletes it.

[0009] In one embodiment of this application, matching the target physiological feature information with the updated whitelist includes: determining any passenger information in the updated whitelist as reference physiological feature information; comparing the target physiological feature information and the reference physiological feature information to obtain a comprehensive similarity between the target physiological feature information and the reference physiological feature information; traversing all passenger information in the updated whitelist, and if any reference information has a comprehensive similarity greater than or equal to a preset similarity threshold with the target feature information, then determining that the match is successful.

[0010] In one embodiment of this application, the physiological feature information of the moving object includes human body contour, facial features, and iris information. Comparing the target physiological feature information with the reference physiological feature information includes: obtaining the target human body contour, target facial features, and target iris information based on the target feature information, and obtaining the reference human body contour, reference facial features, and reference iris information based on the reference physiological feature information; comparing the target human body contour and the reference human body contour to obtain a first similarity, comparing the target facial features and the reference facial features to obtain a second similarity, and comparing the target iris information and the reference iris information to obtain a third similarity; and weighting and summing the first similarity, second similarity, third similarity, and preset similarity weights to obtain a comprehensive similarity.

[0011] In one embodiment of this application, the target physiological feature information is matched with the updated whitelist. If the matching fails, the method further includes: monitoring the second current distance between the target object and the target vehicle; if the second current distance is less than or equal to a preset anti-theft safety distance threshold, generating alarm information based on the target physiological feature information; and sending the alarm information to the vehicle controller to issue an anti-theft warning to the vehicle controller.

[0012] This application provides a door handle anti-pinch control device, the device comprising: an information acquisition module for acquiring physiological characteristic information of a moving object, wherein the moving object is within a preset distance threshold range around the target vehicle; an information matching module for identifying any moving object as a target object and obtaining target physiological characteristic information based on the physiological characteristic information of the target object; matching the target physiological characteristic information with passenger information in a preset whitelist; if the matching fails, issuing a request to add to the whitelist based on the target physiological characteristic information to generate an updated whitelist, and matching the target physiological characteristic information with the updated whitelist; and a door handle control module for continuously monitoring a first current distance between the target object and the target vehicle when the matching is successful; and controlling the door handle to open when the first current distance is less than or equal to a preset door handle trigger distance threshold to achieve anti-pinch control of the door handle, wherein a successful matching includes successful matching with the preset initial whitelist or successful matching with the updated whitelist.

[0013] This application provides an electronic device, including a processor, a memory, and a communication bus; the communication bus is used to connect the processor and the memory; the processor is used to execute a computer program stored in the memory to implement the door handle anti-pinch control method as described above.

[0014] This application provides a computer-readable storage medium having a computer program stored thereon, the computer program being used to cause a computer to perform the door handle anti-pinch control method as described above.

[0015] The beneficial effects of this application are as follows: The door handle anti-pinch control method of this application includes: collecting physiological characteristic information of a moving object; identifying any moving object as a target object; obtaining target physiological characteristic information based on the physiological characteristic information of the target object; matching the target physiological characteristic information with passenger information in a preset initial whitelist; if the matching fails, issuing a request to add to the whitelist based on the target physiological characteristic information to generate an updated whitelist; matching the target physiological characteristic information with the updated whitelist; if the matching is successful, continuously monitoring the first current distance between the target object and the target vehicle; when the first current distance is less than... If the distance to the door handle triggers a preset threshold, the door handle will open to prevent pinching. A whitelist mechanism strictly verifies the identities of people around the vehicle, ensuring that only authorized personnel can trigger the automatic door opening function, thus greatly enhancing vehicle safety. When the verified target reaches a preset safe distance from the vehicle, the door handle automatically opens, achieving automatic door control and preventing accidents such as pinching injuries that might occur due to delayed door handle opening. This significantly improves the safety of the vehicle's door handles, providing users with a safer and more comfortable driving experience.

[0016] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0018] Figure 1 This is a schematic diagram illustrating the implementation environment of the door handle anti-pinch control method, as shown in an exemplary embodiment of this application.

[0019] Figure 2 This is a flowchart illustrating an exemplary embodiment of the present application of a door handle anti-pinch control method;

[0020] Figure 3 This is a flowchart illustrating a specific implementation of the anti-pinch control method for car door handles, as shown in an exemplary embodiment of this application.

[0021] Figure 4 This is a block diagram illustrating an exemplary embodiment of the present application of a door handle anti-pinch control device;

[0022] Figure 5 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown. Detailed Implementation

[0023] The embodiments of this application will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be understood that the preferred embodiments are only for illustrating this application and are not intended to limit the scope of protection of this application.

[0024] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. Therefore, the drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0025] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the present application. However, it will be apparent to those skilled in the art that embodiments of the present application may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the present application.

[0026] Figure 1 This is a schematic diagram illustrating the implementation environment of the door handle anti-pinch control method, as shown in an exemplary embodiment of this application.

[0027] like Figure 1As shown, the implementation environment of this door handle anti-pinch control method includes a data acquisition device 101 and a computer device 102. The data acquisition device 101 collects physiological characteristic information of moving objects around the target vehicle and sends all collected physiological characteristic information to the computer device 102. The data acquisition device can be any device or sensor that can be used to collect physiological characteristic information, such as an infrared recognition sensor or an optical camera; this application does not impose any restrictions on this. The computer device 102 is used to filter and verify the physiological characteristic information collected by the data acquisition device 101, generate a whitelist based on the verified information, and match the physiological characteristic information of target objects entering a preset distance range with the information in the whitelist. If the match is successful, the door handle is opened. The computer device 102 can be at least one of a desktop graphics processing unit (GPU) computer, a GPU computing cluster, a neural network computer, etc., or it can be an intelligent processor integrated into the current vehicle; this application also does not impose any restrictions on this.

[0028] Figure 2 This is a flowchart illustrating an exemplary embodiment of the present application of a door handle anti-pinch control method.

[0029] like Figure 2 As shown, in an exemplary embodiment, the door handle anti-pinch control method includes at least steps S210 to S240, which are described in detail below:

[0030] Step S210: Collect physiological characteristic information of the moving object, wherein the moving object is within the preset distance threshold range around the target vehicle.

[0031] In one embodiment of this application, the door handle anti-pinch control method proposed in this application further includes: collecting the physiological characteristic information of the car owner and establishing feature data based on the physiological characteristic information of the car owner; establishing an initial whitelist based on the feature data and granting the car owner whitelist management permissions.

[0032] In one embodiment of this application, firstly, professional biometric technology equipment is used to collect the vehicle owner's physiological characteristic information, including but not limited to human contours, irises, facial features, and venous vascular patterns. After collection, this physiological characteristic information is converted into digital feature data and stored in a secure database. Then, based on the stored feature data, an initial whitelist is established. To facilitate management and updating the whitelist, the vehicle owner is granted whitelist management permissions, allowing them to add, delete, or modify entries on the whitelist through a specific user interface. Thus, when passengers other than the vehicle owner appear, the vehicle owner can update the whitelist based on actual needs.

[0033] It should be noted that the aforementioned vehicle perimeter distance threshold is the distance used to trigger the vehicle's infotainment system to collect information. When the distance between any moving object and the vehicle is less than or equal to the vehicle perimeter distance threshold, the moving object is considered to be near the target vehicle, and the vehicle's infotainment system is triggered to collect relevant information about the moving object. Conversely, if the distance is greater than or equal to the vehicle perimeter, the moving object is considered not to be near the target vehicle, and no processing of its relevant information is required. The value of the threshold is determined based on specific information such as vehicle characteristics and the environment in which the vehicle is located. Therefore, this application does not impose any restrictions on the method or range of the threshold value.

[0034] In addition, by using the vehicle owner's physiological characteristics to establish an initial whitelist, and by setting whitelist management permissions, flexible management and updates of the whitelist can be achieved, which not only improves vehicle security, but also provides users with a more convenient and personalized car use experience.

[0035] In one embodiment of this application, the whitelist management authority includes adding to the whitelist and deleting from the whitelist. The whitelist addition request is issued based on the target physiological feature information to generate an updated whitelist, including: sending the collected target physiological feature information to the driver terminal to trigger the driver terminal to verify the physiological feature information; determining the verified target physiological feature information as the physiological feature information of the intended passenger, and adding the physiological feature information of the intended passenger to the initial whitelist to generate an updated whitelist.

[0036] In one specific embodiment of this application, when a potential passenger approaches the vehicle, sensors on the outside of the vehicle collect the potential passenger's physiological characteristic information, such as facial features, body contours, or irises, and send the collected target physiological characteristic information to the vehicle's driver terminal to prompt the driver to identify and verify the information. The physiological characteristic information that passes the verification is identified as the physiological characteristic information of the intended passenger. Then, the physiological characteristic information of the intended passenger is automatically added to the initial whitelist, thereby generating an updated whitelist. Subsequently, when the intended passenger approaches the vehicle, the system will quickly identify his physiological characteristic information and compare it with the updated whitelist to achieve fast and accurate identity verification.

[0037] In one specific embodiment of this application, when three moving objects A, B, and C are all within the vicinity of the target vehicle, the physiological characteristic information of A, B, and C is collected simultaneously and sent to the vehicle. The vehicle owner identifies the information and determines that A and B are friends who need a ride in the vehicle. The physiological characteristic information of A and B is then added to the whitelist. When at least one of A and B is within a second preset distance from the vehicle, the vehicle will automatically open the door handle to avoid passengers being pinched due to the door handle not opening in time.

[0038] In one embodiment of this application, the intended passengers include temporary passengers and long-term passengers. The physiological characteristic information of the intended passengers is added to the initial whitelist. The method also includes: if the target is a temporary passenger, after the target gets off the vehicle, the distance between the target and the target vehicle is monitored. If the distance is greater than or equal to a preset whitelist deletion distance threshold, the target is deleted from the updated whitelist. If the target is a long-term passenger, the target is retained in the updated whitelist until the vehicle control manually deletes it.

[0039] In one embodiment of this application, the vehicle owner classifies passengers based on actual circumstances, dividing them into temporary passengers (such as colleagues who are temporarily hitchhiking) and long-term passengers (such as family members). When a vehicle identifies a target passenger through physiological characteristic verification, it first determines whether the passenger is a temporary or long-term passenger. For temporary passengers, once they have completed their ride and disembarked, the system immediately activates distance monitoring. Using external sensors or positioning technology, it continuously monitors the distance between the passenger and the vehicle. If this distance exceeds or equals a preset whitelist deletion threshold (this threshold is typically set based on vehicle type and actual usage scenario to ensure the passenger has left the vehicle's safe zone), the system automatically removes the temporary passenger's physiological characteristic information from the updated whitelist. This automatically revokes the temporary passenger's privileges, ensuring the whitelist's real-time nature and security. For long-term passengers, the system employs a different management strategy. Even after they disembark and leave the vehicle, their physiological characteristic information remains in the updated whitelist. This allows the system to quickly identify and verify their identity the next time they approach the vehicle, eliminating the need for a cumbersome authentication process. Of course, if the vehicle owner needs to delete a long-term passenger's information for any reason, they can proactively remove it from the whitelist to ensure the legality and security of the operation.

[0040] In one specific embodiment of this application, taking passenger A as a temporary passenger and passenger B as a long-term passenger, with a preset vehicle perimeter distance threshold of 3 meters, and preset door handle trigger distance threshold and whitelist deletion distance threshold both set at 1.5 meters, the following steps are taken: When A and B are within 3 meters of the target vehicle, their physiological characteristics are collected and sent to the vehicle so that the driver can identify them and add them to the whitelist after successful identification. The door handle is opened when at least one of A or B is within 1.5 meters of the vehicle. When A gets off the vehicle, the current distance between A and the vehicle is continuously monitored. When the current distance reaches 1.5 meters, A's information is automatically deleted from the whitelist. B's information remains in the whitelist after getting off the vehicle. When A reappears near the vehicle, their information needs to be re-verified and added to the whitelist before the door handle can be opened. When B reappears near the vehicle, their information is directly verified against the existing whitelist information, and the door handle is opened upon successful verification.

[0041] It should be noted that the aforementioned preset door handle trigger distance threshold is used to determine whether to trigger the door handle to open. When the distance between a target passenger on the whitelist and the target vehicle is less than or equal to this threshold, the vehicle door handle is opened; otherwise, the door handle remains closed. The whitelist deletion distance threshold is used to determine whether to remove temporary passenger information from the whitelist. When any temporary passenger A gets off the vehicle and is at a distance greater than or equal to this threshold, passenger A's information is deleted from the whitelist. Conversely, when the distance is less than this threshold, the information is temporarily retained to avoid the inconvenience of repeated verification when a passenger gets off and needs to re-enter the vehicle, such as when a passenger gets off due to fatigue from a long journey and leans against the door to smoke, requiring them to re-enter the vehicle. Similarly, both the aforementioned door handle trigger distance threshold and whitelist deletion distance threshold are determined based on specific information such as vehicle characteristics and the vehicle's environment. Therefore, this application does not impose any restrictions on the method or range of values ​​for these thresholds.

[0042] Furthermore, based on the above embodiments, not only is intelligent differentiation and management of temporary and long-term passengers achieved, but the real-time nature and security of vehicle control permissions are also ensured by dynamically updating the whitelist, providing users with a more flexible and personalized riding experience, while also improving the overall safety of the vehicle.

[0043] Step S220: Identify any moving object as the target object, and obtain the target physiological characteristic information based on the target object's physiological characteristic information.

[0044] In one embodiment of this application, firstly, sensors and cameras outside the vehicle are used to monitor and track moving objects in the surrounding environment. Once any moving object is detected entering its monitoring range and meets certain triggering conditions (such as approaching the vehicle or interacting with the vehicle), the moving object is identified as the target object. The triggering conditions can be flexibly adjusted according to the actual application scenario and security requirements. After the target object is identified, the physiological feature information collection function is immediately activated. Through high-definition cameras and biometric technology, the system can capture the target object's facial features, body contours, iris, and other physiological feature information. After collecting the target object's physiological feature information, the system uses built-in algorithms and databases for comparison and verification. By matching with the stored physiological feature information, the system can confirm the identity of the target object and obtain its corresponding target physiological feature information.

[0045] Step S230: Match the target physiological information with the passenger information in the preset initial whitelist. If the match fails, issue a request to add to the whitelist based on the target physiological information to generate an updated whitelist, and match the target physiological information with the updated whitelist.

[0046] In one embodiment of this application, matching the target physiological feature information with the updated whitelist includes: determining any passenger information in the updated whitelist as reference physiological feature information; comparing the target physiological feature information and the reference physiological feature information to obtain the comprehensive similarity between the target physiological feature information and the reference physiological feature information; traversing all passenger information in the updated whitelist, and if any reference information has a comprehensive similarity greater than or equal to a preset similarity threshold with the target feature information, then determining that the match is successful.

[0047] In one embodiment of this application, the physiological feature information of the moving object includes human body contour, facial features, and iris information. Comparing the target physiological feature information with the reference physiological feature information includes: obtaining the target human body contour, target facial features, and target iris information based on the target feature information, and obtaining the reference human body contour, reference facial features, and reference iris information based on the reference physiological feature information; comparing the target human body contour and the reference human body contour to obtain a first similarity, comparing the target facial features and the reference facial features to obtain a second similarity, and comparing the target iris information and the reference iris information to obtain a third similarity; and weighting and summing the first similarity, the second similarity, the third similarity, and the preset similarity weights to obtain a comprehensive similarity.

[0048] In one specific embodiment of this application, firstly, when any moving object is identified as a target object, the multimodal physiological feature information acquisition function is immediately activated. Through devices such as high-definition cameras, infrared sensors, and biometric technologies, target feature information such as the human body contour, facial features, and iris information of the target object is captured. The stored reference physiological feature information database is accessed to obtain reference human body contour, reference facial features, and reference iris information corresponding to the target object. This reference feature information is usually related information stored in a whitelist and is used to compare with the currently acquired target feature information. Then, a series of comparison operations are performed based on the target information and reference information. First, the target human body contour and the reference human body contour are compared using the contour recognition algorithm αβγ to calculate the first similarity. This similarity reflects the degree of matching between the current body shape of the target object and the stored reference shape. Second, the target facial features and the reference facial features are analyzed using facial recognition technology to obtain the second similarity. This similarity is mainly used to verify whether the facial features of the target object are consistent with the stored reference facial features. Third, the target iris information and the reference iris information are compared using the iris recognition algorithm to obtain the third similarity. Iris information, as a highly unique physiological feature, can provide higher accuracy in identity verification. After obtaining these three similarities, they are further weighted and summed according to preset similarity weights. The similarity weights are usually set according to the reliability and importance of each physiological feature information to ensure the accuracy and effectiveness of the comprehensive similarity. This application does not impose any restrictions on the setting method or the specific value of the weights. Finally, the system determines the identity verification result of the target object based on the weighted summation of the overall similarity. If the overall similarity exceeds a preset threshold, the system will identify the target object as a legitimate user and grant it the corresponding vehicle control permissions; otherwise, the system will reject its access request to ensure vehicle security.

[0049] In one specific embodiment of this application, x represents the similarity of human body contour information, y represents the similarity of facial feature information, and z represents the similarity of iris information. Based on actual needs, their weights are set to α, β, and γ respectively, and the expression for the overall similarity S is obtained as follows:

[0050] S=α·x+β·y+γ·z Equation (1)

[0051] Where S represents the overall similarity, α represents the similarity weight of human body contour information, x represents the similarity of human body contour information, β represents the similarity weight of facial feature information, y represents the similarity of facial feature information, z represents the similarity of iris information, and γ represents the similarity weight of iris information.

[0052] Step S240: If the matching is successful, the first current distance between the target object and the target vehicle is continuously monitored. When the first current distance is less than or equal to the preset door handle trigger distance threshold, the door handle is opened to achieve anti-pinch control of the door handle.

[0053] In one embodiment of this application, when the system confirms successful identity matching of the target object through comparison of multimodal physiological feature information, it immediately enters the door control mode. At this time, the system begins to continuously monitor the first current distance between the target object and the target vehicle. It should be noted that, in order to achieve accurate distance monitoring, the vehicle is equipped with high-precision sensors and ranging devices. These devices can capture the position information of the target object in real time, calculate the accurate distance between it and the target vehicle, and continuously update this first current distance data to ensure the timeliness and accuracy of control. In addition, a preset door handle trigger distance threshold is pre-set based on factors such as vehicle size, door handle position, and safety requirements. Once the first current distance is detected to be less than or equal to this preset door handle trigger distance threshold, the door handle opening action is immediately triggered to quickly and smoothly open the door handle by controlling the electric or mechanical mechanism of the door, providing users with a convenient entry and exit passage.

[0054] In one embodiment of this application, the target physiological feature information is matched with an updated whitelist. If the match fails, the method further includes: monitoring the second current distance between the target object and the target vehicle; if the second current distance is less than or equal to a preset anti-theft safety distance threshold, generating alarm information based on the target physiological feature information; and sending the alarm information to the vehicle controller to issue an anti-theft warning to the vehicle controller.

[0055] In one specific embodiment of this application, in a smart vehicle security monitoring system, to ensure the safety of the vehicle and its contents, an anti-theft alert mechanism based on the distance between the target object and the target vehicle is employed. First, the system monitors the second current distance between the target object and the target vehicle in real time. This function relies on high-precision sensors and distance measurement devices deployed around the vehicle, which can accurately capture changes in the distance between the target object and the vehicle and transmit the data to the central processing unit in real time. Once the system detects that the second current distance is less than or equal to a preset anti-theft safety distance threshold, it immediately triggers the anti-theft alert process. This preset distance is set based on a comprehensive consideration of the vehicle's size, parking environment, and security requirements, aiming to ensure that the system can react promptly when the target object gets too close to the vehicle. Next, the system generates alarm information based on previously acquired target physiological characteristic information. This information may include facial recognition results, iris feature comparison results, etc., which can help vehicle controllers quickly identify the target object's identity and potential risks. The generated alarm information is sent to the vehicle controller via the vehicle's built-in communication module. It can be pushed to the owner through various means such as a mobile app, SMS, and email, ensuring timely receipt and appropriate action. The alarm information typically includes a description of the target's physiological characteristics, current distance information, vehicle location, and potential risk warnings, allowing the vehicle controller to fully understand the current security situation and take appropriate anti-theft measures as needed, such as remotely locking the vehicle or activating the alarm. Furthermore, the system records each alarm event and its handling results for subsequent analysis and improvement. This recorded data can be used to evaluate the effectiveness of the anti-theft mechanism and optimize preset distances and alarm strategies, improving the overall performance and security of the system. It should be noted that this application does not impose any restrictions on the content or method of information delivery.

[0056] It should be noted that the aforementioned anti-theft security distance threshold is used to determine whether to activate the vehicle anti-theft system. When a moving object other than those on the whitelist approaches the target vehicle and the distance between the object and the target vehicle is less than or equal to the anti-theft security distance threshold, the vehicle anti-theft system is triggered to ensure vehicle security. Conversely, if the distance between the moving object and the target vehicle is greater than the threshold, the vehicle anti-theft system remains silent. The value of this threshold is also determined based on specific information such as vehicle characteristics and the vehicle's environment. Therefore, this application does not impose any restrictions on the method or range of value selection for this threshold.

[0057] It should also be noted that the weights and thresholds (including distance thresholds and similarity thresholds) mentioned in the above embodiments are carefully designed and adjusted according to the specific context and actual needs of the vehicle. These parameters are not static, but can be adjusted accordingly as the vehicle's usage environment, scenario requirements, and safety standards change. This flexibility allows our system to adapt to various complex real-world situations, thereby ensuring the accuracy of identity verification and the security of vehicle control. For example, the weight settings can be dynamically adjusted based on the reliability and importance of different physiological feature information. In some cases, facial features may be more important, so their weight will increase accordingly; while in other cases, iris information may be more critical, and its weight will dominate. This dynamic adjustment ensures the accuracy and effectiveness of the comprehensive similarity calculation. Similarly, the threshold settings are also flexibly adjusted according to actual needs and environmental changes. Different vehicles, different usage scenarios, and different security requirements may all have different threshold setting requirements. Therefore, this application does not make any fixed or restrictive provisions on the setting methods and specific values ​​of weights and thresholds. On the contrary, we encourage flexible adjustments based on actual conditions to achieve the best identity verification effect and vehicle control security. In summary, the door handle anti-pinch control proposed in this application is designed with full consideration of flexibility and configurability, allowing key parameters such as weights and thresholds to be adjusted and optimized according to actual needs. This not only improves the adaptability and reliability of the system, but also provides users with a more personalized and flexible authentication and vehicle control experience.

[0058] Figure 3 This is a flowchart illustrating a specific implementation of the anti-pinch control method for car door handles, as shown in an exemplary embodiment of this application.

[0059] like Figure 3As shown, in the door handle anti-pinch control method proposed in this application, the information of the target object, including physiological characteristic information, is first obtained and matched with existing whitelist information. If the match is successful, the current distance between the target object and the vehicle is determined. If the distance is less than or equal to a preset distance threshold, the door handle is opened; otherwise, the door handle remains closed. If the physiological characteristic information of the target object fails to match with existing whitelist information, a request to add it to the whitelist is sent based on this information to trigger the car owner to identify and verify its information. If the car owner agrees to add it to the whitelist, an updated whitelist is generated based on the added information, and its information is matched with the updated whitelist. If the match is successful, the current distance between the target object and the vehicle is determined. If the distance is less than or equal to a preset distance threshold, the door handle is opened; otherwise, the door handle remains closed. If the car owner does not agree to add it to the whitelist or the match still fails, the current distance between the target object and the vehicle is further determined. When the distance is less than a preset threshold, an alarm message is generated and sent to the car owner to issue an anti-theft warning.

[0060] Finally, it should be noted that this application innovatively proposes a door handle anti-pinch control method. This method cleverly combines a whitelist verification mechanism with real-time monitoring of the distance between the human body and the vehicle, ensuring that the door handle remains open under the correct time and conditions. This design not only provides drivers and passengers with a convenient entry and exit experience, but also effectively prevents pinching accidents caused by suddenly reaching into the door handle at critical moments, thereby greatly improving the safety of drivers and passengers. Specifically, when the system recognizes a legitimate user on the whitelist approaching the vehicle and meeting the door opening conditions, the door handle will automatically open to facilitate user entry. At the same time, the system continuously monitors the distance between the human body and the vehicle, ensuring that the door handle remains open as long as the user is still within a suitable range, avoiding user injury due to improper operation. This intelligent distance perception and door handle control mechanism not only improves the convenience of using the vehicle, but also protects the safety of every user invisibly. In addition, when the relevant personnel leave the vehicle at a certain distance, or when unverified personnel approach the vehicle, the system will respond quickly and automatically close the door handle. This feature plays a crucial role in preventing unauthorized entry and vehicle theft, effectively enhancing overall vehicle security. In summary, the door handle anti-pinch control method proposed in this application, while ensuring vehicle safety, provides meticulous care for the hand safety of drivers and passengers, and also effectively solves the problem of door handles in new energy vehicles potentially pinching users' fingers.

[0061] Figure 4 This is a block diagram illustrating an exemplary embodiment of a door handle anti-pinch control device according to this application. The device can be applied to... Figure 1The implementation environment shown is illustrated. This device can also be applied to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the device is applicable.

[0062] like Figure 4 As shown, the exemplary door handle anti-pinch control device includes: an information acquisition module 410, an information matching module 420, and a door handle control module 430.

[0063] The information acquisition module 410 is used to collect the physiological characteristic information of a moving object, wherein the moving object is within a first preset distance range of the target vehicle; the information matching module 420 is used to identify any moving object as the target object and obtain the target physiological characteristic information based on the target object's physiological characteristic information; the target physiological characteristic information is matched with passenger information in a preset whitelist, and if the matching fails, a request to add to the whitelist is issued based on the target physiological characteristic information to generate an updated whitelist, and the target physiological characteristic information is matched with the updated whitelist; the door handle control module 430 is used to continuously monitor the first current distance between the target object and the target vehicle when the matching is successful, and control the door handle to open when the first current distance is less than or equal to a second preset distance, so as to realize the anti-pinch control of the door handle.

[0064] It should be noted that the door handle anti-pinch control device and the door handle anti-pinch control method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the door handle anti-pinch control device provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0065] Embodiments of this application also provide an electronic device, including: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the door handle anti-pinch control method provided in the above embodiments.

[0066] Figure 5 A schematic diagram of a computer system suitable for implementing the embodiments of this application is shown. It should be noted that... Figure 5 The computer system 500 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0067] like Figure 5As shown, the computer system 500 includes a Central Processing Unit (CPU) 501, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 502 or programs loaded from storage portion 508 into Random Access Memory (RAM) 503, such as performing the methods described in the above embodiments. The RAM 503 also stores various programs and data required for system operation. The CPU 501, ROM 502, and RAM 503 are interconnected via a bus 504. An Input / Output (I / O) interface 505 is also connected to the bus 504.

[0068] The following components are connected to I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to I / O interface 505 as needed. Removable media 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 510 as needed so that computer programs read from them can be installed into storage section 508 as needed.

[0069] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 509, and / or installed from removable medium 511. When the computer program is executed by central processing unit (CPU) 501, it performs various functions defined in the system of this application.

[0070] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0071] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0072] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0073] Another aspect of this application provides a computer-readable storage medium storing a computer program thereon, which, when executed by a computer's processor, causes the computer to perform the aforementioned door handle anti-pinch control method. This computer-readable storage medium may be included in the electronic device described in the above embodiments, or it may exist independently without being assembled into the electronic device.

[0074] Another aspect of this application provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the door handle anti-pinch control method provided in the various embodiments described above.

[0075] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A method for preventing door handle pinching, characterized in that, The method includes: Collect physiological characteristic information of a moving object, wherein the moving object is within a preset distance threshold range around the target vehicle; Any moving object is identified as the target object, and the target physiological characteristic information is obtained based on the physiological characteristic information of the target object; The target physiological feature information is matched with passenger information in the preset initial whitelist. If the match fails, a request to add to the whitelist is issued based on the target physiological feature information to generate an updated whitelist, and the target physiological feature information is matched with the updated whitelist. If the match is successful, the first current distance between the target object and the target vehicle will be continuously monitored. When the first current distance is less than or equal to the preset door handle trigger distance threshold, the door handle will be opened to achieve anti-pinch control of the door handle. The successful match includes successful matching with the preset initial whitelist or successful matching with the updated whitelist. The vehicle controller of the target vehicle has whitelist management authority, which includes adding to the whitelist; The process of issuing a whitelist addition request based on the target physiological feature information to generate an updated whitelist includes: sending the collected target physiological feature information to the driver's terminal to trigger the driver's terminal to verify the physiological feature information; determining the verified target physiological feature information as the physiological feature information of the intended passenger, and adding the physiological feature information of the intended passenger to the preset initial whitelist to generate an updated whitelist.

2. The door handle anti-pinch control method according to claim 1, characterized in that, The method further includes: Collect physiological characteristic information of vehicle controllers and establish characteristic data based on the physiological characteristic information of vehicle controllers; A preset initial whitelist is established based on the feature data, and the vehicle controller is granted whitelist management permissions.

3. The door handle anti-pinch control method according to claim 2, characterized in that, The whitelist management permissions also include deleting items from the whitelist.

4. The door handle anti-pinch control method according to claim 3, characterized in that, The intended passengers include both temporary and long-term passengers. Adding the physiological characteristics of the intended passengers to the preset initial whitelist also includes: If the target is a temporary passenger, after the target gets off the vehicle, the distance between the target and the target vehicle is monitored. If the distance is greater than or equal to a preset whitelist deletion distance threshold, the target is deleted from the updated whitelist. If the target is a long-term passenger, the target will remain in the updated whitelist until the vehicle control system manually removes it.

5. The door handle anti-pinch control method according to claim 1, characterized in that, Matching the target physiological feature information with the updated whitelist includes: Select any passenger information from the updated whitelist as reference physiological characteristic information; By comparing the target physiological feature information and the reference physiological feature information, a comprehensive similarity between the target physiological feature information and the reference physiological feature information is obtained; If all passenger information in the updated whitelist is traversed, and the overall similarity between any reference physiological feature information and the target physiological feature information is greater than or equal to a preset similarity threshold, then a successful match is determined.

6. The door handle anti-pinch control method according to claim 5, characterized in that, The physiological characteristic information of the moving object includes human body contour, facial features, and iris information. Comparing the target physiological characteristic information with the reference physiological characteristic information includes: Based on the target physiological feature information, the target human body contour, target facial features, and target iris information are obtained, and based on the reference physiological feature information, the reference human body contour, reference facial features, and reference iris information are obtained. A first similarity is obtained by comparing the target human body contour with the reference human body contour; a second similarity is obtained by comparing the target facial features with the reference facial features; and a third similarity is obtained by comparing the target iris information with the reference iris information. The first similarity, the second similarity, the third similarity, and the preset similarity weights are weighted and summed to obtain the comprehensive similarity.

7. The door handle anti-pinch control method according to any one of claims 1-6, characterized in that, The method further includes matching the target physiological feature information with the updated whitelist; if the matching fails, the method also includes: Monitor the second current distance between the target object and the target vehicle; If the second current distance is less than or equal to the preset anti-theft security distance threshold, an alarm message is generated based on the target's physiological characteristics. The alarm information is sent to the vehicle controller to issue an anti-theft warning.

8. A door handle anti-pinch control device, characterized in that, The device includes: The information acquisition module is used to collect physiological characteristic information of a moving object, wherein the moving object is within a preset distance threshold range around the target vehicle; The information matching module is used to identify any moving object as a target object and obtain target physiological characteristic information based on the target object's physiological characteristic information; match the target physiological characteristic information with passenger information in a preset initial whitelist; if the match fails, issue an add whitelist request based on the target physiological characteristic information to generate an updated whitelist, and match the target physiological characteristic information with the updated whitelist. The door handle control module is used to continuously monitor the first current distance between the target object and the target vehicle when the matching is successful. When the first current distance is less than or equal to a preset door handle trigger distance threshold, the door handle is controlled to open to achieve anti-pinch control of the door handle. The successful matching includes successful matching with the preset initial whitelist or successful matching with the updated whitelist. The vehicle controller of the target vehicle has whitelist management authority, which includes adding to the whitelist; The information matching module is specifically used to send the collected target physiological feature information to the driver terminal to trigger the driver terminal to verify the physiological feature information; determine the verified target physiological feature information as the physiological feature information of the intended passenger, and add the physiological feature information of the intended passenger to the preset initial whitelist to generate an updated whitelist.

9. An electronic device, characterized in that, It includes a processor, a memory, and a communication bus; the communication bus is used to connect the processor and the memory; the processor is used to execute a computer program stored in the memory to implement the door handle anti-pinch control method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, It stores a computer program that enables the computer to perform the door handle anti-pinch control method as described in any one of claims 1-7.

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