Pedestrian safety airbag control method and device, automobile and storage medium

Abstract

Embodiments of the present application provide a control method and device of a pedestrian safety airbag, an automobile and a storage medium, and relate to the technical field of automobile safety. The method comprises: acquiring surrounding environment sensing information of the automobile; when a pedestrian is identified based on the surrounding environment sensing information and a collision event between the pedestrian and the automobile is predicted, entering a collision signal acquisition mode; in the collision signal acquisition mode, when a collision signal of the automobile is acquired, determining a collision object of the automobile based on a signal feature of the collision signal; and when the collision object is the pedestrian and a falling direction of the pedestrian meets a preset condition, detonating a pedestrian safety airbag of the automobile. According to the embodiments of the present application, the pedestrian is identified and confirmed twice through the environment sensing information and the collision signal, and the pedestrian safety airbag of the automobile is detonated when the falling direction of the pedestrian meets the preset condition, so that the misfire rate of the safety airbag is effectively reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automobile safety, and in particular to a control method and device for a pedestrian safety airbag, an automobile, and a storage medium. BACKGROUND

[0002] With the rapid development of the automobile industry, the safety of automobiles is increasingly valued, and pedestrian safety airbags have emerged as the times require. The working mode of a pedestrian safety airbag is the same as that of a traditional automobile safety airbag, except that the pedestrian safety airbag can protect pedestrians outside the vehicle and provide protection for the lives of pedestrians, and can avoid the pedestrians from hitting the front windshield of the vehicle to prevent the pedestrians and the passengers in the vehicle from being more seriously injured in a violent collision.

[0003] The pedestrian safety airbag in the prior art can protect the head of a pedestrian from being hit by a vehicle, but has the problem of a high false explosion rate. SUMMARY

[0004] The present application provides a control method and device for a pedestrian safety airbag, an automobile, and a storage medium, to solve the problem of a high false explosion rate of a safety airbag in the prior art.

[0005] According to one aspect of the present application, a control method for a pedestrian safety airbag is provided, the method comprising:

[0006] acquiring surrounding environment sensing information of the vehicle;

[0007] when a pedestrian is identified based on the surrounding environment sensing information and a collision event between the pedestrian and the vehicle is predicted, entering a collision signal acquisition mode;

[0008] in the collision signal acquisition mode, when a collision signal of the vehicle is acquired, determining a collision object of the vehicle based on a signal feature of the collision signal;

[0009] when the collision object is a pedestrian and a falling direction of the pedestrian meets a preset condition, detonating a pedestrian safety airbag of the vehicle.

[0010] In one possible implementation, when a pedestrian is identified based on the surrounding environment sensing information and a collision event between the pedestrian and the vehicle is predicted, entering a collision signal acquisition mode, comprises:

[0011] when a pedestrian is identified based on the surrounding environment sensing information, acquiring relative displacement information between the pedestrian and the vehicle;

[0012] determining a predicted collision time between the pedestrian and the vehicle based on the relative displacement information;

[0013] when a collision event between the pedestrian and the vehicle is predicted based on the predicted collision time, entering the collision signal acquisition mode.

[0014] In a possible implementation, when the pedestrian-car collision event is predicted based on the predicted collision time, the collision signal acquisition mode is entered, including:

[0015] According to the vehicle speed and the braking information of the vehicle, the braking time of the vehicle is determined;

[0016] When the collision time is earlier than the braking time, the pedestrian-car collision event is predicted, and the collision signal acquisition mode is entered.

[0017] In another possible implementation, the collision signal includes a first pressure signal;

[0018] Based on the signal characteristics of the collision signal, the collision object of the vehicle is determined, including:

[0019] An acceleration signal of the vehicle is acquired;

[0020] The signal characteristics of the first pressure signal and the signal characteristics of the acceleration signal are classified based on a preset classification model, to obtain a signal category of the collision signal;

[0021] Based on the signal category, the collision object of the vehicle is determined.

[0022] In another possible implementation, the first pressure signal is derived from a first energy-absorbing block between a front bumper and a front collision crossbeam of the vehicle.

[0023] In another possible implementation, the collision signal includes a second pressure signal;

[0024] When the collision object is a pedestrian, and the falling direction of the pedestrian meets a preset condition, a pedestrian airbag of the vehicle is detonated, including:

[0025] When the collision object is a pedestrian, the second pressure signal is identified to obtain signal characteristics of the second pressure signal; wherein the signal characteristics of the second pressure signal include at least one of pulse width, curvature, and peak value;

[0026] Based on the similarity between the signal characteristics of the second pressure signal and a preset target signal characteristic, the falling direction of the pedestrian is determined;

[0027] When the falling direction is the direction of the vehicle body, the pedestrian airbag of the vehicle is detonated.

[0028] In another possible implementation, the second pressure signal is derived from a second energy-absorbing block between a front bumper upper trim and a front bumper upper support plate of the vehicle.

[0029] According to another aspect of the embodiments of the present application, a control device of a pedestrian airbag is provided, which includes:

[0030] an acquisition module configured to acquire surrounding environment sensing information of the vehicle;

[0031] a prediction module configured to enter a collision signal acquisition mode when a pedestrian is identified based on the surrounding environment sensing information and a collision event between the pedestrian and the vehicle is predicted;

[0032] a determination module configured to determine a collision object of the vehicle based on a signal feature of the collision signal when the collision signal of the vehicle is acquired in the collision signal acquisition mode;

[0033] an initiation module configured to initiate a pedestrian airbag of the vehicle when the collision object is the pedestrian and a falling direction of the pedestrian meets a preset condition.

[0034] According to another aspect of the present application, a vehicle is provided, which comprises a memory, a processor, and a computer program stored in the memory, and the processor executes the computer program to implement the steps of the method according to the first aspect of the present application.

[0035] According to still another aspect of the present application, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to implement the steps of the method according to the first aspect of the present application.

[0036] The technical scheme provided by the present application has the following beneficial effects:

[0037] The control method and device of the pedestrian airbag, the vehicle, and the storage medium provided by the present application can identify a pedestrian through surrounding environment sensing information of the vehicle, enter a collision signal acquisition mode when a collision event between the pedestrian and the vehicle is predicted, determine a collision object of the vehicle based on a collision signal when the collision signal of the vehicle is acquired in the collision signal acquisition mode, and initiate a pedestrian airbag of the vehicle when the collision object is the pedestrian and a falling direction of the pedestrian meets a preset condition. The present application performs secondary identification and confirmation on the collision object, i.e., the pedestrian, through environment sensing information and a collision signal, initiates the pedestrian airbag of the vehicle when the falling direction of the pedestrian meets the preset condition, realizes accurate initiation of the pedestrian airbag, and thus can avoid initiation of the pedestrian airbag when the collision object is not a pedestrian or the falling direction of the pedestrian is not the direction of the vehicle body, and further effectively reduces the false initiation rate of the airbag while ensuring the safety of the pedestrian. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical schemes in the embodiments of the present application or the prior art, the drawings needed in the following embodiment or prior art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0039] Figure 1 A flowchart of a control method of a pedestrian airbag according to an embodiment of the present application is provided.

[0040] Figure 2 A flowchart of a process of acquiring a collision signal in a control method of a pedestrian airbag according to an embodiment of the present application is provided.

[0041] Figure 3 A schematic diagram of a vehicle structure in a control method of a pedestrian airbag according to an embodiment of the present application is provided.

[0042] Figure 4 A flowchart of a control method of a pedestrian airbag according to an embodiment of the present application is provided.

[0043] Figure 5 A cross-sectional view of a vehicle structure in a control method of a pedestrian airbag according to an embodiment of the present application is provided.

[0044] Figure 6 A schematic diagram of a control device of a pedestrian airbag according to an embodiment of the present application is provided. DETAILED DESCRIPTION

[0045] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it is to be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present disclosure. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present disclosure.

[0046] In the drawings, various schematic diagrams according to embodiments of the present disclosure are shown. These diagrams are not drawn to scale in which certain details are exaggerated for the purpose of clarity and can omit certain details. The shapes of various regions, layers, and their relative sizes and positional relationships shown in the drawings are merely exemplary, and in actuality, they can deviate due to manufacturing tolerances or technical limitations, and a person skilled in the art can additionally design regions / layers having different shapes, sizes, and relative positions as needed.

[0047] In the context of the present disclosure, when a layer / element is referred to as being "on" another layer / element, the layer / element can be directly on the other layer / element, or an intervening layer / element can be present therebetween. Also, if a layer / element is on another layer / element in one orientation, it can be under the other layer / element when the orientation is reversed.

[0048] First, the terms related to the present application are explained:

[0049] Pedestrian protection airbag can be used to avoid human body hitting the front windshield of the car to prevent greater harm to the pedestrian and the passenger in the car in the event of a violent collision. Generally, the pedestrian protection airbag can include a hood airbag and a front wall airbag, which are used together to reduce the most common pedestrian casualty accidents. Before the collision, it is triggered by a collision warning sensor, and the inflation is completed within 50 to 75 microseconds, and the inflation time can be up to several seconds. The inflated airbag is deployed between the headlamps and extends upward from the top of the bumper to above the hood surface.

[0050] The pedestrian protection airbag is deployed at the rear end of the hood, which can avoid the direct contact of the pedestrian's head with the hard points such as the front windshield and its lower structure, the A-pillar, the rear end of the hood, and the front wiper system of the car, thereby reducing the head injury of the pedestrian. The pedestrian protection airbag and its control system are a very complex device.

[0051] The inventor found that the related control technology generally collects the collision signals of the pedestrian and the car through pressure tube sensors and acceleration sensors, and then determines whether to reach the detonation condition according to the above signals, and detonates and deploys the pedestrian protection airbag to protect the head of the pedestrian. When the pedestrian collides with the car, the related technology cannot actively determine whether it is a pedestrian; at the same time, the related technology cannot accurately determine whether the pedestrian falls towards the car after the collision, which is easy to cause misfire, resulting in expensive repair costs and greater customer complaints.

[0052] Based on the above technical problems, the embodiments of the present application identify pedestrians through the surrounding environment sensing information of the car, obtain the collision signals of the car when predicting the collision event of the pedestrian and the car, and then determine the collision object of the car based on the collision signals. When the collision object is a pedestrian and the falling direction of the pedestrian meets the preset condition, the pedestrian safety airbag of the car is detonated. The present application identifies and confirms the collision object, i.e. the pedestrian, through the environment sensing information and the collision signals, and detonates the pedestrian safety airbag of the car when the falling direction of the pedestrian meets the preset condition, thereby realizing the accurate detonation of the pedestrian safety airbag and effectively reducing the misfire rate of the safety airbag while ensuring the safety of pedestrians.

[0053] In the following, the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes can not be described in detail in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0054] In the embodiments of the present application, a control method of a pedestrian safety airbag is provided, as shown in Figure 1 The method can be applied to a car safety control terminal or a server, and the method comprises the following steps.

[0055] S101, acquire the surrounding environment sensing information of the automobile.

[0056] The surrounding environment sensing information can include sensing information of the front end of the vehicle.

[0057] Specifically, the automobile safety control terminal or server can acquire the surrounding environment sensing information of the automobile based on sensing devices at the front end of the vehicle. The sensing devices can include a camera, a radar sensor, or an infrared sensor, etc.

[0058] In some embodiments, when the sensing device is a camera, the corresponding surrounding environment sensing information can be image information. Further, the automobile safety control terminal or server can identify the image information based on a deep learning model to determine whether a pedestrian exists.

[0059] S102, when a pedestrian is identified based on the surrounding environment sensing information, and a collision event between the pedestrian and the automobile is predicted, enter a collision signal acquisition mode.

[0060] The collision event can be predicted based on relative displacement information between the pedestrian and the automobile.

[0061] Specifically, the automobile safety control terminal or server can further enter the collision signal acquisition mode when a pedestrian is identified based on the surrounding environment sensing information, and a collision event is predicted based on the relative displacement information between the pedestrian and the automobile.

[0062] S103, in the collision signal acquisition mode, when a collision signal of the automobile is acquired, determine the collision object of the automobile based on signal characteristics of the collision signal.

[0063] The collision signal can include a pressure signal at the front end of the automobile and an acceleration signal of the automobile.

[0064] Specifically, the automobile safety control terminal or server can classify the pressure signal at the front end of the automobile and the acceleration signal of the automobile based on a preset classification model to obtain signal category information, and further determine whether the collision object of the automobile is a pedestrian based on the signal category information. In some cases, for example, a pedestrian is hit while pushing a bicycle, the collision object of the automobile can be a bicycle rather than a pedestrian, and therefore secondary confirmation of the collision object after the collision occurs can avoid airbag misfire caused by the automobile not hitting the pedestrian.

[0065] S104, when the collision object is a pedestrian, and the falling direction of the pedestrian meets a preset condition, detonate the pedestrian airbag of the automobile.

[0066] Specifically, the vehicle safety control terminal or server can also determine the falling direction of the pedestrian based on the collision signal; when the collision object is a pedestrian and the falling direction of the pedestrian is the direction of the vehicle body, the pedestrian airbag of the vehicle is detonated.

[0067] The embodiment of the application identifies a pedestrian through the surrounding environment sensing information of the vehicle, enters a collision signal acquisition mode when predicting a collision event between the pedestrian and the vehicle, acquires a collision signal of the vehicle in the collision signal acquisition mode, determines a collision object of the vehicle based on the collision signal, detonates the pedestrian airbag of the vehicle when the collision object is a pedestrian and the falling direction of the pedestrian meets a preset condition. The application identifies and confirms the collision object, i.e., the pedestrian, through the environment sensing information and the collision signal, detonates the pedestrian airbag of the vehicle when the falling direction of the pedestrian meets the preset condition, realizes accurate detonation of the pedestrian airbag, and thus can avoid detonation of the pedestrian airbag when the collision object is not a pedestrian or the falling direction of the pedestrian is not the direction of the vehicle body, and effectively reduces the false detonation rate of the airbag while ensuring the safety of the pedestrian.

[0068] A possible implementation manner is provided in the embodiment of the application, as shown in Figure 2 When a pedestrian is identified based on the surrounding environment sensing information and a collision event between the pedestrian and the vehicle is predicted, the collision signal acquisition mode is entered, and the collision signal acquisition mode includes:

[0069] S201, when a pedestrian is identified based on the surrounding environment sensing information, the relative displacement information between the pedestrian and the vehicle is acquired.

[0070] The relative displacement information can include the relative distance and the relative speed.

[0071] S202, the predicted collision time of the pedestrian and the vehicle is determined based on the relative displacement information.

[0072] Specifically, the relative displacement information between the pedestrian and the vehicle can be acquired based on the millimeter wave radar.

[0073] In some embodiments, the millimeter wave radar can acquire the relative displacement information between the pedestrian and the vehicle twice based on a preset time interval, and obtain the predicted collision time of the pedestrian and the vehicle based on the relative displacement information twice.

[0074] S203, when a collision event between the pedestrian and the vehicle is predicted based on the predicted collision time, the collision signal acquisition mode is entered.

[0075] The embodiment of the application identifies the pedestrian, acquires relative displacement information between the pedestrian and the automobile, and calculates a predicted collision time of the pedestrian and the automobile based on the relative displacement information. When a collision event of the pedestrian and the automobile is predicted based on the predicted collision time, a collision signal acquisition mode is entered to acquire a collision signal of the automobile for further analysis and confirmation of the collision event. The pedestrian is identified before the collision, and the accuracy of collision prediction is effectively enhanced.

[0076] Specifically, the collision event of the pedestrian and the automobile can be predicted based on the predicted collision time and a braking time of the automobile. The specific prediction manner will be described in detail below.

[0077] In the embodiment of the application, a possible implementation manner is provided. When the collision event of the pedestrian and the automobile is predicted based on the predicted collision time, the collision signal acquisition mode is entered, including:

[0078] S301, determining a braking time of the automobile according to a vehicle speed of the automobile and braking information of the automobile.

[0079] Specifically, the braking information can be acquired from a braking system of the automobile, and the braking time of the automobile is calculated according to the current vehicle speed and the braking information.

[0080] S302, when the collision time is earlier than the braking time, predicting the collision event of the pedestrian and the automobile, and entering the collision signal acquisition mode.

[0081] The collision signal can include a pressure signal of a front end of the automobile and an acceleration signal of the automobile.

[0082] Specifically, the collision signal of the automobile can be acquired based on an acceleration sensor and a pressure tube sensor.

[0083] The embodiment of the application calculates the braking time of the automobile according to the current vehicle speed and the braking information of the automobile. When the collision time is earlier than the braking time, the collision event is predicted, and then the collision signal acquisition mode can be further entered to acquire the collision signal of the automobile, so as to further process the collision signal and lay a good foundation for accurate deployment of a pedestrian airbag in the future.

[0084] In the embodiment of the application, a possible implementation manner is provided. The collision signal includes a first pressure signal.

[0085] The collision object of the automobile is determined based on a signal feature of the collision signal, including:

[0086] The acceleration signal of the automobile is acquired.

[0087] The signal feature of the first pressure signal and the signal feature of the acceleration signal are classified based on a preset classification model, and a signal category of the collision signal is obtained.

[0088] determine a collision object of the vehicle based on the signal category.

[0089] The classification model can be a pre-trained neural network model. The pressure signals and acceleration signals of the vehicle when colliding with different collision objects can be collected in advance, and the initial neural network model is trained based on the signals to obtain the pre-trained neural network model.

[0090] In an embodiment of the present application, the first pressure signal is derived from a first energy-absorbing block between a front bumper and a front collision beam of the vehicle.

[0091] In an embodiment of the present application, the pressure value of the first energy-absorbing block can be collected based on a first pressure tube sensor to obtain the first pressure signal. The first pressure tube sensor can be arranged between the front bumper and the front collision beam, and the X-direction pressure of the vehicle and the leg impact is transmitted to the first pressure tube sensor through the first energy-absorbing block.

[0092] Meanwhile, an acceleration sensor can be arranged on the front bumper skin at the front end of the vehicle, and the current acceleration signal of the vehicle can be obtained through the acceleration sensor. The first curve of the first pressure signal and the second curve of the acceleration signal can be obtained through the classification model, and at least one of the pulse width, curvature and peak value of the first curve and the second curve is classified to obtain the signal category, and then the collision object of the vehicle is determined based on the signal category. The collision signal can be used to further identify and confirm the collision object, which can effectively avoid the false explosion of the pedestrian airbag when colliding with non-pedestrians.

[0093] In an embodiment of the present application, the collision signal includes a second pressure signal.

[0094] When the collision object is a pedestrian and the falling direction of the pedestrian meets a preset condition, the pedestrian airbag of the vehicle is detonated, comprising:

[0095] When the collision object is a pedestrian, the second pressure signal is identified to obtain the signal characteristics of the second pressure signal; wherein the signal characteristics of the second pressure signal include at least one of the pulse width, the curvature and the peak value.

[0096] Based on the similarity between the signal characteristics of the second pressure signal and the preset target signal characteristics, the falling direction of the pedestrian is determined.

[0097] When the falling direction is the direction of the vehicle body, the pedestrian airbag of the vehicle is detonated.

[0098] In the embodiment of the present application, a possible implementation is provided, and the second pressure signal is derived from a second energy-absorbing block between the upper front bumper trim and the upper front bumper support plate of the vehicle.

[0099] Further, the collision test between the vehicle and the dummy can be performed in advance, different pressure signals of the second energy-absorbing block are collected in multiple collision tests, and the characteristics of each different pressure signal are counted to obtain the target signal characteristics.

[0100] Specifically, the pressure value of the second energy-absorbing block can be collected based on the second pressure tube sensor to obtain the second pressure signal. The second pressure tube sensor is arranged between the upper front bumper trim and the upper front bumper support plate, and the Z-direction pressure of the vehicle and the hip of the pedestrian is transmitted to the second pressure tube sensor through the second energy-absorbing block, which is mainly used to determine whether the pedestrian falls towards the vehicle.

[0101] In the embodiment of the present application, when the pedestrian and the vehicle collide, the collision signal is obtained through two pressure tube sensors to identify and determine the collision object, i.e., the pedestrian, and further identify the falling direction of the pedestrian. When it is confirmed that the pedestrian falls towards the vehicle body, the pedestrian airbag is triggered, the false triggering caused by the pedestrian and the vehicle colliding without falling towards the vehicle body is reduced, the triggering accuracy and safety protection performance of the airbag are further enhanced, and the user experience is improved.

[0102] In order to better understand the control method of the pedestrian airbag, an example of a control method of a pedestrian airbag of the present application is described in detail below. Figure 3 , Figure 4 and Figure 5 The control method of the pedestrian airbag can be applied to an automobile safety control server. The automobile safety control server can include a pre-collision signal module, a collision signal module, an ACU (Airbag control unit, airbag controller) algorithm module, and a pedestrian protection airbag.

[0103] The method includes the following steps:

[0104] S401, when the vehicle is driving normally, the vehicle pre-collision signal module senses the environment around the vehicle in real time to generate a pre-collision signal. The pre-collision signal includes an image signal and a radar signal.

[0105] Specifically, the pre-collision signal module includes a millimeter wave radar and a vehicle front camera. The main function of the camera is to classify the collision object and actively identify pedestrians through deep learning. The millimeter wave radar mainly detects the distance and relative speed between the vehicle and the pedestrian.

[0106] As Figure 3As shown, the camera 301 is arranged in the area of the rearview mirror inside the vehicle; the millimeter wave radar 304 has three, which are arranged on both sides and the central position of the front bumper skin of the vehicle, covering as much as possible the area of vehicle and pedestrian collision.

[0107] S402, the ACU algorithm module, first collects at least two millimeter wave radar signals, and calculates two relative distances between the vehicle and the pedestrian according to the two radar signals, the time interval of the two signals can be 5ms, and then the time of the predicted collision between the vehicle and the pedestrian can be obtained; then the minimum safety time is obtained according to the current vehicle speed and brake acceleration. On the basis of predicting the image signal based on the deep learning model and judging as a pedestrian, if the relative time between the vehicle and the pedestrian is greater than the minimum safety time, it is judged that the vehicle is at a relatively safe speed, otherwise it is predicted that the vehicle and the pedestrian will collide.

[0108] S403, under the premise of predicting that the vehicle and the pedestrian will collide, the collision signal module confirms the collision signal between the pedestrian and the vehicle; the collision signal includes an acceleration signal and a pressure signal.

[0109] Specifically, the collision signal module includes an acceleration sensor and a pressure tube sensor, the acceleration sensor provides an acceleration signal when the pedestrian collides with the vehicle; the pressure tube sensor provides a pressure signal when the pedestrian collides with the vehicle, and through the curve waveform and peak value of the two signals, it can be more accurately judged whether it is a pedestrian collision;

[0110] As shown in Figure 3 The acceleration sensor 305 is installed on the front bumper skin at the front end of the vehicle, and three acceleration sensors are arranged on both sides and the central position of the vehicle.

[0111] Further, the pressure tube sensor has two, the first pressure tube sensor 306 is arranged between the front bumper and the front collision cross beam, and the X-direction pressure of the vehicle and the leg collision is transmitted to the first pressure tube sensor through the energy-absorbing block, combined with the acceleration sensor, which is mainly used to judge whether the pedestrian and the vehicle have collided. The second pressure tube sensor 303 is arranged between the front bumper upper decoration and the front bumper upper support plate, and the Z-direction pressure of the vehicle and the hip collision is transmitted to the second pressure tube sensor through the energy-absorbing block, which is mainly used to judge whether the pedestrian falls towards the vehicle.

[0112] As shown in Figure 5As shown, the first pressure tube sensor 505 can be arranged between the front bumper 503 and the front collision beam 506, and the X-direction pressure of the vehicle colliding with the leg of a pedestrian is transmitted to the first pressure tube sensor 505 through the first energy-absorbing block 504; the second pressure tube sensor 507 is arranged between the front bumper upper decoration 501 and the front bumper upper support plate 502, and the Z-direction pressure of the vehicle colliding with the hip of a pedestrian is transmitted to the second pressure tube sensor 507 through the second energy-absorbing block 508, which is mainly used to determine whether the pedestrian falls towards the vehicle.

[0113] In S404, the ACU module determines whether a pedestrian collides with the vehicle and falls towards the vehicle according to the collected collision signal, and if so, initiates the pedestrian protection airbag 302.

[0114] The embodiment of the present application provides a control device of a pedestrian safety airbag, as shown in the figure, the control device 60 of the pedestrian safety airbag can comprise an acquisition module 601, a prediction module 602, a determination module 603 and an initiation module 604. Figure 6

[0115] The acquisition module 601 is used for acquiring the surrounding environment sensing information of the vehicle.

[0116] The prediction module 602 is used for entering a collision signal acquisition mode when a pedestrian is identified based on the surrounding environment sensing information and a collision event between the pedestrian and the vehicle is predicted.

[0117] The determination module 603 is used for determining the collision object of the vehicle based on the signal characteristics of the collision signal when the collision signal of the vehicle is acquired in the collision signal acquisition mode.

[0118] The initiation module 604 is used for initiating the pedestrian safety airbag of the vehicle when the collision object is a pedestrian and the falling direction of the pedestrian meets a preset condition.

[0119] In the embodiment of the present application, a possible implementation manner is provided, and when the prediction module 602 enters the collision signal acquisition mode when a pedestrian is identified based on the surrounding environment sensing information and a collision event between the pedestrian and the vehicle is predicted, the prediction module 602 is used for:

[0120] When the pedestrian is identified based on the surrounding environment sensing information, the relative displacement information between the pedestrian and the vehicle is acquired.

[0121] The predicted collision time between the pedestrian and the vehicle is determined based on the relative displacement information.

[0122] When a collision event between the pedestrian and the vehicle is predicted based on the predicted collision time, the collision signal acquisition mode is entered.

[0123] ​In an embodiment of the present application, a possible implementation is provided. When the prediction module 602 predicts a collision event between a pedestrian and a car based on the predicted collision moment, it enters a collision signal acquisition mode and is configured to:

[0124] Determine the braking moment of the vehicle according to the vehicle speed and braking information of the vehicle;

[0125] When the collision moment is earlier than the braking moment, a collision event between the pedestrian and the car is predicted and the collision signal acquisition mode is entered.

[0126] An embodiment of the present application provides a possible implementation method, wherein the collision signal includes a first pressure signal;

[0127] When determining the collision object of the automobile based on the signal characteristics of the collision signal, the determination module 603 is used to:

[0128] Get the acceleration signal of the car;

[0129] classifying the signal features of the first pressure signal and the signal features of the acceleration signal based on a preset classification model to obtain a signal category of the collision signal;

[0130] Based on the signal class, a collision object of the vehicle is determined.

[0131] An embodiment of the present application provides a possible implementation method, wherein the first pressure signal is derived from a first energy absorbing block between the front bumper and the front collision beam of the vehicle.

[0132] An embodiment of the present application provides a possible implementation method, wherein the collision signal includes a second pressure signal;

[0133] When the collision object is a pedestrian and the falling direction of the pedestrian meets the preset conditions, the detonation module 604 is used to detonate the pedestrian airbag of the vehicle:

[0134] When the collision object is a pedestrian, the second pressure signal is identified to obtain a signal feature of the second pressure signal; wherein the signal feature of the second pressure signal includes at least one of a pulse width, a curvature, and a peak value;

[0135] determining a falling direction of the pedestrian based on a similarity between a signal feature of the second pressure signal and a preset target signal feature;

[0136] When the tipping direction is the direction of the car body, the pedestrian airbag of the car is detonated.

[0137] A possible implementation method is provided in an embodiment of the present application, where the second pressure signal is derived from a second energy absorbing block between an upper decorative piece of the front bumper and an upper support plate of the front bumper of the automobile.

[0138] The apparatuses provided in the embodiments of the present application can perform the methods provided by the embodiments of the present application, and the implementation principles are similar. The actions performed by each module in the apparatuses of the embodiments of the present application correspond to the steps in the methods of the embodiments of the present application. For the detailed function description of each module of the apparatus, refer to the description of the corresponding method in the foregoing description, which will not be repeated here.

[0139] In the embodiments of the present application, the pedestrian is identified through the surrounding environment sensing information of the automobile. When the collision event between the pedestrian and the automobile is predicted, the collision signal acquisition mode is entered. When the collision signal of the automobile is acquired in the collision signal acquisition mode, the collision object of the automobile is determined based on the collision signal. When the collision object is the pedestrian and the falling direction of the pedestrian meets the preset condition, the pedestrian airbag of the automobile is detonated. In the present application, the collision object, i.e., the pedestrian, is identified and confirmed twice through the environment sensing information and the collision signal. When the falling direction of the pedestrian meets the preset condition, the pedestrian airbag of the automobile is detonated. Thus, the accurate detonation of the pedestrian airbag is realized. In this way, the detonation of the pedestrian airbag when the collision object is not the pedestrian or the falling direction of the pedestrian is not the direction of the automobile body can be avoided. Thus, the false detonation rate of the airbag is effectively reduced while the safety of the pedestrian is ensured.

[0140] In the embodiments of the present application, an automobile is provided, which includes a memory, a processor, and a computer program stored in the memory. The processor executes the computer program to implement the steps of the control method of the pedestrian airbag. Compared with the related art, the present application can realize the following: in the present application, the pedestrian is identified through the surrounding environment sensing information of the automobile. When the collision event between the pedestrian and the automobile is predicted, the collision signal acquisition mode is entered. When the collision signal of the automobile is acquired in the collision signal acquisition mode, the collision object of the automobile is determined based on the collision signal. When the collision object is the pedestrian and the falling direction of the pedestrian meets the preset condition, the pedestrian airbag of the automobile is detonated. In the present application, the collision object, i.e., the pedestrian, is identified and confirmed twice through the environment sensing information and the collision signal. When the falling direction of the pedestrian meets the preset condition, the pedestrian airbag of the automobile is detonated. Thus, the accurate detonation of the pedestrian airbag is realized. In this way, the detonation of the pedestrian airbag when the collision object is not the pedestrian or the falling direction of the pedestrian is not the direction of the automobile body can be avoided. Thus, the false detonation rate of the airbag is effectively reduced while the safety of the pedestrian is ensured.

[0141] In the embodiments of the present application, a computer readable storage medium is provided, which stores a computer program. The computer program is executed by a processor to implement the steps of the control method of the pedestrian airbag.

[0142] In the above description, detailed description of the configuration of each layer and the like is not made. However, it should be understood by those skilled in the art that the layer, region, and the like having a desired shape can be formed by various technical means. In addition, a method different from the above-described method can be designed by those skilled in the art in order to form the same structure. In addition, although each embodiment is described above separately, this does not mean that the measures in each embodiment cannot be used advantageously in combination.

[0143] Although preferred embodiments of the application have been described herein, it will be apparent to those skilled in the art that various modifications and changes can be made to the embodiments without departing from the spirit and scope of the application. Accordingly, it is intended that all such modifications and changes be included within the scope of the application as set forth in the following claims and their equivalents.

[0144] Obviously, various modifications and changes can be made to the present application by those skilled in the art without departing from the spirit and scope of the application. Accordingly, it is intended that all such modifications and changes be included within the scope of the application as claimed in the following claims and their equivalents.

Claims

1. A method for controlling a pedestrian airbag, characterized in that: The method comprises: Obtaining sensor information about the car's surrounding environment; When a pedestrian is identified based on the surrounding environment sensor information and a collision event between the pedestrian and the car is predicted, a collision signal acquisition mode is entered; In the collision signal acquisition mode, when a collision signal of the vehicle is acquired, a collision object of the vehicle is determined based on a signal feature of the collision signal; wherein the collision signal includes a second pressure signal; When the collision object is a pedestrian and the falling direction of the pedestrian meets a preset condition, the pedestrian airbag of the car is deployed; Wherein, when the collision object is a pedestrian and the falling direction of the pedestrian meets a preset condition, the pedestrian airbag of the vehicle is detonated, including: When the collision object is a pedestrian, identifying the second pressure signal to obtain a signal feature of the second pressure signal; wherein the signal feature of the second pressure signal includes at least one of pulse width, curvature, and peak value; determining a falling direction of the pedestrian based on a similarity between a signal feature of the second pressure signal and a preset target signal feature; When the dumping direction is the body direction of the car, the pedestrian airbag of the car is detonated.

2. The method according to claim 1, characterized in that When a pedestrian is identified based on the surrounding environment sensor information and a collision event between the pedestrian and the car is predicted, a collision signal acquisition mode is entered, including: When a pedestrian is identified based on the surrounding environment sensor information, relative displacement information between the pedestrian and the car is obtained; determining a predicted collision moment between the pedestrian and the vehicle based on the relative displacement information; When a collision event between the pedestrian and the car is predicted based on the predicted collision moment, a collision signal acquisition mode is entered.

3. The method according to claim 2, characterized in that When a collision event between the pedestrian and the car is predicted based on the predicted collision moment, a collision signal acquisition mode is entered, including: Determining the braking moment of the vehicle according to the vehicle speed and the braking information of the vehicle; When the collision moment is earlier than the braking moment, a collision event between the pedestrian and the car is predicted, and a collision signal acquisition mode is entered.

4. The method according to claim 1, wherein The collision signal includes a first pressure signal; The determining the collision object of the automobile based on the signal characteristics of the collision signal includes: Acquiring an acceleration signal of the vehicle; classifying the signal features of the first pressure signal and the signal features of the acceleration signal based on a preset classification model to obtain a signal category of the collision signal; A collision object of the vehicle is determined based on the signal category.

5. The method according to claim 4, characterized in that The first pressure signal is derived from a first energy absorbing block between the front bumper and the front collision beam of the vehicle.

6. The method according to claim 1, characterized in that The second pressure signal originates from a second energy absorbing block between an upper decorative piece of a front bumper and an upper support plate of the front bumper of the automobile.

7. A control device for a pedestrian airbag, characterized in that: The device comprises: An acquisition module is used to obtain the surrounding environment sensor information of the car; a prediction module, configured to enter a collision signal acquisition mode when a pedestrian is identified based on the surrounding environment sensor information and a collision event between the pedestrian and the vehicle is predicted; a determination module configured to, when a collision signal of the vehicle is acquired in the collision signal acquisition mode, determine a collision object of the vehicle based on a signal feature of the collision signal; wherein the collision signal includes a second pressure signal; a detonation module, configured to detonate the pedestrian airbag of the vehicle when the collision object is a pedestrian and the falling direction of the pedestrian meets a preset condition; Wherein, when the collision object is a pedestrian and the falling direction of the pedestrian meets a preset condition, the pedestrian airbag of the vehicle is detonated, including: When the collision object is a pedestrian, the second pressure signal is identified to obtain a signal characteristic of the second pressure signal; wherein the signal characteristic of the second pressure signal includes at least one of a pulse width, a curvature, and a peak value; based on the similarity between the signal characteristic of the second pressure signal and a preset target signal characteristic, the falling direction of the pedestrian is determined; when the falling direction is the direction of the vehicle body, the pedestrian airbag of the vehicle is detonated.

8. An automobile, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 6 when executing the computer program.

9. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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