Boarding reminder processing method, device and medium

Abstract

The disclosed embodiment relates to a method, device and medium for processing boarding reminder, wherein the method comprises: after the vehicle is started, identifying whether the rear door of the vehicle is in the process of opening and closing; if so, obtaining the motion data of the person outside the vehicle within a preset range from the vehicle, and when the motion data of the person outside the vehicle is determined to be abnormal, sending a passenger left-behind reminder to the vehicle. In this technical solution, the vehicle is prevented from leaving when the outside passenger has not boarded the vehicle, thus avoiding the problem of passengers being left behind.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicle control technology, and in particular to a vehicle boarding reminder processing method, device and medium. Background Art

[0002] During daily travel, drivers often judge whether passengers are on board based on the sound of the door opening and closing. After hearing the door closing sound, the driver assumes that the passengers are on board and drives away.

[0003] However, in many actual application scenarios, even if the sound of the door opening and closing occurs, it is possible that the passengers have not yet gotten on the vehicle. For example, the rear-seat passenger opens the door and finds that there are items on the seat on his side and cannot sit down, so he closes the door and intends to get in from the other side of the vehicle. In this driving situation, the driver hears the door opening and closing, and thus assumes that the rear-seat passengers are seated, resulting in the vehicle being driven away directly without the passengers being seated. Summary of the invention

[0004] In order to solve the above technical problems or at least partially solve the above technical problems, the present disclosure provides a method, device and medium for processing a boarding reminder.

[0005] An embodiment of the present disclosure provides a method for processing a boarding reminder, the method comprising: after the vehicle is started, identifying whether there is an opening and closing process of the rear door of the vehicle; if so, obtaining motion data of a person outside the vehicle within a preset range from the vehicle, and when the motion data of the person outside the vehicle is determined to be abnormal, sending a passenger left-behind reminder to the vehicle.

[0006] The disclosed embodiment also provides a boarding reminder processing device, which includes: an identification module, used to identify whether there is an opening and closing process of the rear door of the vehicle after the vehicle is started; an acquisition module, used to acquire the motion data of people outside the vehicle within a preset range from the vehicle when the opening and closing process occurs; and a reminder processing module, used to send a passenger left-behind reminder to the vehicle when the motion data of the people outside the vehicle is determined to be abnormal.

[0007] The embodiment of the present disclosure also provides a computer-readable storage medium, which stores a computer program, and the computer program is used to execute the boarding reminder processing method provided by the embodiment of the present disclosure.

[0008] The embodiment of the present disclosure also provides a computer program product, including a computer program, which, when executed by a processor, implements the boarding reminder processing method provided by the embodiment of the present disclosure. The technical solution provided by the embodiment of the present disclosure has the following advantages over the prior art:

[0009] The boarding reminder processing solution provided by the embodiment of the present disclosure identifies whether the rear door of the vehicle is in the process of opening and closing after the vehicle is started. Then, after the opening and closing process is in place, the motion data of the person outside the vehicle within a preset range of the vehicle is obtained, and whether the person outside the vehicle is abnormal is determined based on the motion data. When the motion data of the person outside the vehicle is determined to be abnormal, a passenger left-behind reminder is sent to the vehicle. In this technical solution, the vehicle is prevented from leaving when the outside passenger has not boarded the vehicle, thus avoiding the problem of passengers being left behind. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0011] Figure 1 A flowchart of a method for processing a boarding reminder provided by an embodiment of the present disclosure;

[0012] Figure 2 A schematic diagram of a joint point position set provided in an embodiment of the present disclosure;

[0013] Figure 3 A schematic diagram of the structure of a boarding reminder processing device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0014] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0015] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0016] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0017] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0018] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0019] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0020] In order to solve the above problems, an embodiment of the present disclosure provides a method for processing a boarding reminder, which is introduced below in conjunction with a specific embodiment.

[0021] Figure 1 The present invention provides a flow chart of a method for processing a boarding reminder, which can be executed by a boarding reminder processing device, wherein the device can be implemented by software and / or hardware, and can generally be integrated into an electronic device. Figure 1 As shown, the method includes:

[0022] Step 101, after the vehicle is started, identifying whether the rear door of the vehicle is in the opening and closing process.

[0023] In one embodiment of the present disclosure, after the vehicle is started, it is identified whether the rear door of the vehicle is in the opening and closing process, that is, it is detected whether the user intends to get in the vehicle. That is, after the vehicle is started, the identification of the opening and closing process of the rear door is started.

[0024] It should be noted that in different application scenarios, the method of identifying whether the rear door of the vehicle is in the opening and closing process is different, and the specific implementation method may be a combination of one or more of the following examples, as follows:

[0025] In some possible embodiments, image information of the rear door is obtained, for example, by communicating with a preset monitoring system to obtain image information of the rear door taken by a monitoring camera, or by collecting image information of the rear door through a camera installed in the vehicle to extract image features of the image information. In this embodiment, it is identified whether the rear door is in the opening and closing process based on the image features. The camera installed in the vehicle can be installed at a position such as the B-pillar of the vehicle or the rearview mirror inside the vehicle.

[0026] For example, a plurality of continuous image features corresponding to a plurality of continuous frames of images are input into a pre-trained artificial intelligence model, and the artificial intelligence model determines whether the door is opened or closed based on the image features, because the image features of the door opening and closing are different. In this embodiment, since the opening and closing process includes two actions, after first recognizing that the door is opened based on the image features of the image information of the rear door, the image information of the door is continuously acquired. If the rear door is recognized to be closed based on the image features of the acquired image information of the rear door within a preset time period, it is determined that the rear door is in the opening and closing process.

[0027] In some possible embodiments, the sound information of the rear door is collected by a preset microphone, wherein the preset microphone can be pre-set in the vehicle, such as at the B-pillar of the vehicle, the rearview mirror inside the vehicle, etc., to extract the sound features of the sound information, and identify whether the rear door is in the opening and closing process according to the sound features. In this embodiment, the sound features can be input into a pre-trained artificial intelligence model, and the artificial intelligence model identifies the propagation direction and intensity difference of the sound through the sound features, and determines whether the door is opened and closed based on the propagation direction and intensity difference of the door opening and closing obtained in advance. Among them, since the opening and closing process includes opening and closing, which are two actions, therefore, after first identifying that the door is opened according to the sound features of the rear door, the sound information of the door is continuously obtained. If the rear door is identified to be closed according to the sound features of the sound information of the rear door obtained within the preset time, it is determined that the rear door is in the opening and closing process.

[0028] In some possible embodiments, the angle between the rear door and the vehicle body is identified according to a preset angle sensor, wherein the preset angle sensor may be arranged at the door hinge of the rear door. In this embodiment, the angle between the rear door and the vehicle body is identified according to the preset angle sensor, and whether the rear door is in the opening and closing process is identified according to the angle. When the angle is less than the preset angle threshold, it is determined that the rear door is closed, and when the angle is greater than the preset angle threshold, it is determined that the rear door is open.

[0029] Step 102, if yes, then obtain the motion data of the person outside the vehicle within a preset range from the vehicle, and when the motion data of the person outside the vehicle is determined to be abnormal, send a passenger left behind reminder to the vehicle.

[0030] After the rear door is opened and closed, that is, after the rear door is opened first and then closed, the motion data of the person outside the vehicle within the preset range of the vehicle is obtained, wherein the motion data includes at least one of body motion data, sound motion data, lip shape data, etc. The preset range can be set according to the scene requirements, and the purpose of setting the preset range is to avoid the problem of large computing power consumption when identifying the motion data of all people outside the vehicle around the vehicle.

[0031] After acquiring the motion data, it is determined whether the motion data of the person outside the vehicle is abnormal based on the motion data. That is, in this embodiment, it is determined based on the motion data whether the person outside the vehicle is a left-behind passenger who wanted to get on the vehicle but failed to get on the vehicle. If the motion data of the person outside the vehicle is abnormal, it is considered that the corresponding person outside the vehicle is a left-behind passenger.

[0032] Furthermore, when the motion data of a person outside the vehicle is determined to be abnormal, a passenger-left-behind reminder is sent to the vehicle.

[0033] In one embodiment of the present disclosure, when the motion data of a person outside the vehicle is determined to be abnormal, a passenger left behind reminder is sent to the vehicle to remind the driver that there are passengers who have not yet boarded the vehicle, thereby preventing the driver from leaving the vehicle.

[0034] Among them, in some possible embodiments, when the motion data of the person outside the vehicle is determined to be abnormal, the vehicle can also be subjected to emergency braking to ensure the safety of the person outside the vehicle. Among them, before the emergency braking is performed, a braking reminder message can also be sent to the driver. If the driver does not receive a rejection operation of the braking reminder message within a preset time, the vehicle is subjected to emergency braking. In this embodiment, in order to further ensure that the emergency braking will not cause safety problems, when the motion data of the person outside the vehicle is determined to be abnormal, it is also necessary to determine that the current distance between the person outside the vehicle and the vehicle is less than the preset distance threshold before the vehicle is subjected to emergency braking. In other possible embodiments, when the motion data of the person outside the vehicle is determined to be abnormal, but the current distance between the person outside the vehicle and the vehicle is greater than the preset distance threshold, in order to avoid potential safety hazards, the vehicle is not subjected to emergency braking, and only a message is sent to the driver to remind the person outside the vehicle to get on the vehicle.

[0035] It should be noted that in different application scenarios, the methods for processing the boarding reminder in the vehicle are different, as shown below:

[0036] In one embodiment of the present disclosure, a message corresponding to the passenger left-behind reminder may be generated, and then the passenger left-behind reminder may be voice broadcasted in the vehicle.

[0037] Based on the above embodiment, after the vehicle is started, if it is detected that the door is opened, emergency braking is performed on the vehicle, for example, pulling up the vehicle handbrake.

[0038] The following is a description of the determination of whether the motion data of the person outside the vehicle is abnormal in the above step 102 in combination with a specific embodiment. The following different embodiments can be implemented separately or in combination with each other, as described below:

[0039] In one embodiment of the present disclosure, video stream information of people outside the vehicle within a preset range from the vehicle is obtained, wherein the video stream information includes multiple continuous video frames. For example, the video stream information of people outside the vehicle can be obtained through an external camera, and then, motion data is obtained based on the multiple continuous video frames.

[0040] For example, the joint point position set of the person outside the vehicle in each video frame can be identified, where Figure 2 The joint point position set of the person outside the vehicle at least includes knee joints, ankle joints, elbow joints, shoulder key nodes, hand joints, etc.

[0041] In this embodiment, a plurality of continuous joint point position sets corresponding to a plurality of continuous video frames are obtained as action data, so that the action type of the person outside the vehicle can be further determined based on the plurality of continuous joint point position sets. For example, the plurality of continuous joint point position sets can be input into a pre-trained deep learning model, and the action type of the person outside the vehicle is identified based on the deep learning model. In this embodiment, it is determined whether the action type belongs to a preset action type. When the action type belongs to the preset action type, the action data of the person outside the vehicle is determined to be abnormal. The preset action types may include: reaching out to open the door, chasing the vehicle, etc.

[0042] In this embodiment, if the preset action type is identified as a standing still action, multiple continuous video frames are continuously acquired according to the preset duration, and based on the continuously acquired multiple video frames, it is identified whether the person outside the vehicle continues to stay still. If the person continues to stay still, the action data of the person outside the vehicle is determined to be abnormal.

[0043] In one embodiment of the present disclosure, when the motion data includes sound data, the sound data can be collected through a preset microphone, and it is identified based on the sound data whether it contains preset keywords such as "I haven't gotten in the car yet" or "Don't drive". If it contains the preset keywords, the motion data of the person outside the car is determined to be abnormal.

[0044] In this embodiment, multiple consecutive video frames may be collected to obtain lip shape data, and the lip shape data and the sound data may be combined to determine whether the preset keywords are included.

[0045] In summary, the boarding reminder processing method of the disclosed embodiment identifies whether the rear door of the vehicle is in the process of opening and closing after the vehicle is started, and then obtains the motion data of the person outside the vehicle within a preset range of the vehicle after the opening and closing process occurs, determines whether the person outside the vehicle is abnormal based on the motion data, and sends a passenger left behind reminder to the vehicle when the motion data of the person outside the vehicle is determined to be abnormal. In this technical solution, the vehicle is prevented from leaving when the outside passengers have not boarded the vehicle, thus avoiding the problem of passengers being left behind.

[0046] In order to implement the above embodiment, the present disclosure also proposes a boarding reminder processing device.

[0047] Figure 3 This is a schematic diagram of the structure of a vehicle boarding reminder processing device provided by an embodiment of the present disclosure. The device can be implemented by software and / or hardware and can generally be integrated into a vehicle processor. Figure 3 As shown, the device includes: an identification module 310, an acquisition module 320 and a reminder processing module 330, wherein:

[0048] The identification module 310 is used to identify whether the rear door of the vehicle is in the opening and closing process after the vehicle is started;

[0049] An acquisition module 320 is used to acquire the motion data of a person outside the vehicle within a preset range from the vehicle when there is an opening and closing process;

[0050] The reminder processing module 330 is used to send a passenger left-behind reminder to the vehicle when the motion data of the person outside the vehicle is determined to be abnormal.

[0051] In one embodiment of the present disclosure, the identification module 310 is used to:

[0052] Obtain image information of the rear door and extract image features of the image information.

[0053] Identify whether the rear door is in the process of opening or closing based on image features; and / or,

[0054] The sound information of the rear door is collected by the preset microphone, and the sound characteristics of the sound information are extracted.

[0055] Identify whether the rear door is in the process of opening or closing based on the sound characteristics; and / or,

[0056] According to the preset angle sensor, the angle between the rear door and the vehicle body is detected.

[0057] Identify whether the rear door is in the opening and closing process based on the included angle.

[0058] In one embodiment of the present disclosure, the acquisition module 320 is used to:

[0059] Obtaining video stream information of persons outside the vehicle within a preset range from the vehicle, wherein the video stream information includes a plurality of continuous video frames;

[0060] Get motion data based on multiple consecutive video frames.

[0061] In one embodiment of the present disclosure, the acquisition module 320 is used to:

[0062] The joint point position set of the person outside the vehicle in each video frame is identified, and a plurality of continuous joint point position sets corresponding to the plurality of continuous video frames are obtained as action data.

[0063] In one embodiment of the present disclosure, the device further includes: a determination module, when the motion data includes a plurality of continuous joint point position sets, the determination module is configured to:

[0064] Determine the action type of the person outside the vehicle based on the set of multiple continuous joint positions.

[0065] Determine whether the action type belongs to a preset action type, wherein when the action type belongs to the preset action type, determine that the action data is abnormal.

[0066] In one embodiment of the present disclosure, the reminder processing module 330 is used to:

[0067] Voice broadcast reminders of passengers left behind in the car.

[0068] The boarding reminder processing device provided in the embodiments of the present disclosure can execute the boarding reminder processing method provided in any embodiment of the present disclosure, and has the corresponding functional modules and beneficial effects of the execution method.

[0069] In order to implement the above embodiments, the present disclosure also proposes a computer program product, including a computer program / instruction, which implements the boarding reminder processing method in the above embodiments when the computer program / instruction is executed by a processor.

[0070] In order to implement the above-mentioned embodiment, the present disclosure also proposes a computer-readable storage medium, which stores a computer program, and the computer program is used to execute the above-mentioned boarding reminder processing method.

[0071] In order to implement the above embodiments, the present disclosure also proposes a computer program product, including a computer program, which implements the above boarding reminder processing method when executed by a processor.

[0072] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a memory. When the computer program is executed by a processor, the above functions defined in the boarding reminder processing method of the embodiment of the present disclosure are executed.

[0073] It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0074] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0075] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, constitute a limitation on the unit itself.

[0076] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0077] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0078] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0079] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0080] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A method for processing a boarding reminder, characterized in that: The following steps are involved: After the vehicle is started, identifying whether the rear door of the vehicle is in the opening and closing process; If yes, then obtaining video stream information of persons outside the vehicle within a preset range from the vehicle, wherein the video stream information includes a plurality of continuous video frames; Identify a set of joint point positions of the person outside the vehicle in each of the video frames, and obtain a plurality of consecutive sets of joint point positions corresponding to the plurality of consecutive video frames; Determining the action type of the person outside the vehicle according to the plurality of consecutive joint point position sets, and determining whether the action type belongs to a preset action type; When the action type belongs to the preset action type, determining that the corresponding person outside the vehicle is a left-behind passenger, sending a passenger left-behind reminder to the vehicle, and sending a brake reminder message to the driver; If the driver does not reject the braking reminder message within a preset time period, and the distance between the vehicle and the person outside the vehicle is less than a preset distance threshold, the vehicle is braked.

2. The method according to claim 1, characterized in that The identifying whether the rear door of the vehicle is in the opening and closing process includes: Acquire image information of the rear door, extract image features of the image information, Identify, based on the image features, whether the rear door is in the opening and closing process; and / or, The sound information of the rear door is collected by a preset microphone, and the sound characteristics of the sound information are extracted. Identify, based on the sound feature, whether the rear door is in the opening and closing process; and / or, The angle between the rear door and the vehicle body is identified by a preset angle sensor. It is identified based on the included angle whether the rear door is in the opening and closing process.

3. The method according to claim 1 or 2, characterized in that The sending of a passenger lost reminder to the vehicle includes: The passenger lost reminder is announced by voice in the car.

4. A vehicle boarding reminder processing device, characterized in that: include: an identification module, configured to obtain video stream information of a person outside the vehicle within a preset range from the vehicle after the vehicle is started, wherein the video stream information includes a plurality of consecutive video frames, identify a set of joint point positions of the person outside the vehicle in each of the video frames, obtain a plurality of consecutive joint point position sets corresponding to the plurality of consecutive video frames, determine an action type of the person outside the vehicle according to the plurality of consecutive joint point position sets, and determine whether the action type belongs to a preset action type; a reminder processing module, configured to, when the action type belongs to the preset action type, determine that the corresponding person outside the vehicle is a left-behind passenger, send a passenger left-behind reminder to the vehicle, and send a brake reminder message to the driver; The braking processing module is used to perform braking processing on the vehicle if the driver does not reject the braking reminder message within a preset time period and the distance between the vehicle and the person outside the vehicle is less than a preset distance threshold.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is used to execute the boarding reminder processing method described in any one of claims 1-3 above.

6. A computer program product, characterized in that It includes a computer program, which, when executed by a processor, implements the boarding reminder processing method described in any one of claims 1 to 3 above.

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