Vehicle contact event detection method and related equipment

Abstract

The invention discloses a vehicle contact event detection method and related equipment, and relates to the technical field of intelligent transportation, and the method comprises the steps: obtaining elastic wave sensing data and vehicle all-round video stream data in real time; judging whether a target contact event occurs or not according to the elastic wave sensing data; and when it is judged that the target contact event occurs, intercepting and storing a target video corresponding to the target contact event in the vehicle around-view video stream data. According to the method, the elastic wave sensing data and the vehicle around-view video stream data are acquired in real time, the target contact event is accurately judged and recorded, and accurate detection and efficient video storage of the vehicle contact event are realized.

Description

Technical Field

[0001] The present application relates to the field of intelligent transportation technology, and more specifically, to a vehicle contact event detection method and related equipment. Background Art

[0002] With the development of intelligent transportation systems, vehicle contact event detection has become one of the important links in ensuring traffic safety. Traditional contact event detection methods mainly rely on visual monitoring and manual reporting, which is not only inefficient but also has low accuracy at night or in bad weather conditions; in addition, due to the lack of real-time and automation, traditional methods are difficult to respond to emergencies in a timely and effective manner.

[0003] In the prior art, vehicle contact event detection usually relies on a single type of sensor, such as an accelerometer or camera. However, accelerometers can only detect changes in vehicle acceleration and are difficult to distinguish between different types of contact events; while cameras are limited by light conditions and viewing angles and cannot work reliably around the clock. In addition, the method of using these sensors alone for event detection is difficult to overcome the influence of environmental interference factors, such as wind force, road conditions, etc., which makes the detection results inaccurate.

[0004] Especially for the detection of contact events, a common problem in the prior art is that the data from a single sensor is not sufficient to fully reflect the true situation of the contact event, especially in emergency scenarios that require rapid response. This deficiency may lead to delayed rescue or misjudgment of the nature of the accident. Therefore, a more efficient and accurate vehicle contact event detection method is urgently needed to overcome the problems of low detection accuracy and slow response speed in the prior art. That is, the related art has the technical problems of low detection accuracy and slow response speed for vehicle contact events. Summary of the invention

[0005] A series of simplified concepts are introduced in the summary of the invention, which will be further described in detail in the detailed description. The summary of the invention of this application does not mean to attempt to define the key features and essential technical features of the technical solution claimed for protection, nor does it mean to attempt to determine the scope of protection of the technical solution claimed for protection.

[0006] The vehicle contact event detection method and related devices provided in the present application can accurately determine and record target contact events by acquiring elastic wave sensor data and vehicle surround video stream data in real time, thereby achieving accurate detection of vehicle contact events and efficient video storage.

[0007] In a first aspect, the present application provides a vehicle contact event detection method, comprising: acquiring elastic wave sensor data and vehicle surround video stream data in real time; judging whether a target contact event occurs based on the elastic wave sensor data; and when it is judged that the target contact event occurs, intercepting and storing a target video corresponding to the target contact event in the vehicle surround video stream data.

[0008] In a feasible implementation manner, the vehicle surround view video stream data is the video stream data of the first preset duration closest to the current moment.

[0009] In a feasible implementation, the intercepting and storing of the target video corresponding to the target contact event in the vehicle surround view video stream data includes: according to the occurrence time point of the target contact event, intercepting and storing from the vehicle surround view video stream data a video segment centered on the occurrence time point and extending before and after a second preset time length as the target video, wherein the second preset time length is shorter than the first preset time length.

[0010] In a feasible implementation, determining whether a target contact event occurs based on the elastic wave sensing data includes: when a waveform peak value of the elastic wave sensing data is greater than or equal to a first preset peak value, judging that the target contact event occurs; when the waveform peak value is less than the first preset peak value, judging that the target contact event does not occur.

[0011] In a feasible implementation, the vehicle contact event detection method also includes: when it is determined that the target contact event occurs and the waveform peak is greater than or equal to a second preset peak, performing a vehicle light warning operation; when it is determined that the target contact event occurs and the waveform peak is greater than or equal to a third preset peak, performing a vehicle sound warning operation and transmitting the target video to a target mobile device via remote transmission, wherein the third preset peak is greater than the second preset peak, the second preset peak is greater than the first preset peak, and the target mobile device is the mobile device of the vehicle owner.

[0012] In a feasible implementation, the vehicle contact event detection method further includes: determining the vehicle body position of the target contact event based on the sensing position source of the elastic wave sensing data; and determining the event type and contact intensity of the target contact event based on the waveform characteristics of the elastic wave sensing data.

[0013] In a feasible implementation, the vehicle contact event detection method further includes: when a weight change of the driver's seat is detected, displaying the file information of the target video through an in-vehicle display device, wherein the file information includes a video name, and the video name includes the vehicle body position, the event type and the contact intensity.

[0014] In the second aspect, the present application also provides a vehicle contact event detection device, including: a data acquisition unit, used to acquire elastic wave sensor data and vehicle surround video stream data in real time; an event judgment unit, used to judge whether a target contact event occurs based on the elastic wave sensor data; a video saving unit, used to intercept and store the target video corresponding to the target contact event in the vehicle surround video stream data when it is judged that the target contact event occurs.

[0015] In a third aspect, the present application further provides an electronic device, comprising: a memory and a processor, wherein the processor is configured to implement the steps of the vehicle contact event detection method described in the first aspect when executing a computer program stored in the memory.

[0016] In a fourth aspect, the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the vehicle contact event detection method described in the first aspect.

[0017] In a fifth aspect, the present application also provides a computer program product, including a computer program or computer executable instructions, which, when executed by a processor, implements the vehicle contact event detection method provided in an embodiment of the present application.

[0018] In summary, the present application acquires elastic wave sensor data in real time, and the method can accurately capture the tiny vibrations or impacts generated when the vehicle contacts external objects (such as pedestrians, other vehicles or obstacles), so as to accurately judge the occurrence of target contact events; when a target contact event occurs, the target video corresponding to the event can be automatically intercepted and stored, avoiding long-term, targetless video recording and storage, which not only saves storage space, but also improves the efficiency of video retrieval, allowing users to find the required event video more quickly. In summary, the vehicle contact event detection method provided by the present application acquires elastic wave sensor data and vehicle surround video stream data in real time, accurately judges and records target contact events, and realizes accurate detection of vehicle contact events and efficient video storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0020] Figure 1 A schematic diagram of a process flow of a vehicle contact event detection method provided in an embodiment of the present application;

[0021] Figure 2 A schematic diagram of the structure of a vehicle contact event detection device provided in an embodiment of the present application;

[0022] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "is" and "has" and any variations thereof involved in the present application are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] The term "module" or "unit" in this application refers to a computer program or a part of a computer program that has a predetermined function and works together with other related parts to achieve a predetermined goal, and can be implemented in whole or in part by using software, hardware (such as processing circuits or memories) or a combination thereof. Similarly, a processor (or multiple processors or memories) can be used to implement one or more modules or units. In addition, each module or unit can be part of an overall module or unit that includes the function of the module or unit.

[0025] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. In the following description, it is related to "some embodiments", which describes a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict.

[0026] See also Figure 1 , Figure 1 1 is a flow chart of a vehicle contact event detection method provided by an embodiment of the present application. The method may specifically include the following steps 101 to 103:

[0027] Step 101, acquiring elastic wave sensor data and vehicle surround view video stream data in real time;

[0028] Specifically, elastic wave sensing data refers to the information about the vibration or fluctuation of an object collected by elastic wave sensors. The elastic wave sensing data is mainly monitored by 12 elastic wave sensors arranged around the vehicle body. The elastic wave sensors are arranged in the vehicle's front and rear bumpers, left and right fenders, four doors, engine hood and other parts that are prone to damage; vehicle surround video stream data refers to the video image data of the vehicle's surrounding environment captured in real time by multiple cameras installed around the vehicle.

[0029] Through the implementation of step 101, any possible contact events will not be missed; the elastic wave sensing data provides sensitive monitoring of changes in the physical environment around the vehicle, while the vehicle surround video stream data provides visual supplementary information to ensure that events can be accurately captured even in low light or obstructed vision. In addition, the real-time data stream can also be continuously monitored to ensure that no critical moments are missed.

[0030] Step 102, judging whether a target contact event occurs according to elastic wave sensing data;

[0031] Specifically, a target contact event refers to a direct contact or collision event between a vehicle and other objects detected by elastic wave sensing technology.

[0032] Exemplarily, judging the occurrence of a target contact event based on elastic wave sensing data is achieved through algorithm analysis. First, the raw data from the elastic wave sensor is preprocessed (denoising, filtering, etc.), and these data may include parameters such as vibration frequency and amplitude to improve the accuracy and reliability of the data; next, a specific algorithm or model, such as a machine learning model, threshold judgment, etc., can be applied to analyze the processed data. If the data meets the preset conditions or thresholds, such as the vibration frequency exceeds a certain value or the amplitude reaches a certain level, it will be judged that a target contact event has occurred.

[0033] By implementing step 102, analyzing the elastic wave sensing data to determine whether a contact event has occurred can greatly improve the accuracy and sensitivity of detection. The elastic wave sensor can detect the vibration waveform generated when contact or collision occurs, and the change of this waveform can be used to distinguish between real contact events and other factors that may cause false alarms (such as wind, small bumps on the road, etc.). The false alarm rate is reduced, so that the subsequent steps are only started when they are really needed, thereby saving resources and improving efficiency.

[0034] Step 103, when it is determined that a target contact event occurs, intercepting and storing a target video corresponding to the target contact event in the vehicle surround view video stream data;

[0035] Specifically, the target video refers to a specific video segment captured and stored from the vehicle surround view video stream data when the vehicle contact event occurs.

[0036] For example, when it is determined that a target contact event occurs, the video capture and storage mechanism is immediately triggered. First, the time point of the target contact event is determined, which is usually achieved by analyzing the timestamp of the elastic wave sensor data; then, the corresponding video frame can be located in the vehicle surround video stream data based on this time point; next, these captured video clips can be stored in a designated storage medium, such as a hard disk, cloud storage, etc., for subsequent viewing and analysis.

[0037] Through the implementation of step 103, once the occurrence of a contact event is confirmed, the relevant video clips will be automatically captured and saved, ensuring that storage space is only occupied when it is really needed, avoiding a large amount of invalid video storage; it can also help car owners quickly locate the specific moment when the event occurred, simplifying the event investigation process and improving user experience.

[0038] In summary, the embodiments of the present application can accurately capture the tiny vibrations or impacts generated when the vehicle contacts external objects (such as pedestrians, other vehicles or obstacles), so as to accurately judge the occurrence of target contact events; when a target contact event occurs, the target video corresponding to the event can be automatically intercepted and stored, avoiding long-term, targetless video recording and storage, which not only saves storage space, but also improves the efficiency of video retrieval, allowing users to find the required event video more quickly. In summary, the vehicle contact event detection method provided by the embodiments of the present application accurately judges and records target contact events by acquiring elastic wave sensor data and vehicle surround video stream data in real time, thereby achieving accurate detection of vehicle contact events and efficient video storage.

[0039] In some embodiments, the vehicle surround view video stream data is video stream data of a first preset duration closest to the current moment.

[0040] Specifically, during the real-time acquisition of the vehicle's surround view video stream data, video stream data that exceeds the first preset time range is cyclically covered. The first preset time range refers to a pre-set time length, which is used to define the length of the video segments that should be retained in the vehicle's surround view video stream data. The first preset time range can be 1 minute, 3 minutes or 10 minutes, etc.; for example, if the first preset time range is set to 2 minutes, then only video data from the current moment forward 2 minutes will be retained, and any video segments earlier than these 2 minutes will be overwritten by new video data; video stream data refers to a sequence of continuous video images captured from the vehicle's surround view camera, which are played in sequence to form a dynamic video picture to reflect the real-time situation of the vehicle's surroundings.

[0041] For example, when acquiring the vehicle surround view video stream data in real time, a timer can be started to record the acquisition time of the current video stream data; as time goes by, when new video stream data is continuously acquired, it can be checked whether the stored video stream data exceeds the first preset time range. If exceeded, the oldest video stream data that exceeds the range will be automatically deleted or overwritten to ensure that the stored video stream data is always the data within the first preset time range closest to the current moment.

[0042] Through the implementation of the above embodiment, the video stream data beyond the first preset time range is cyclically covered, and only the most recent video stream data is retained, thereby effectively managing the storage space and avoiding unnecessary storage waste.

[0043] In some embodiments, the aforementioned capture and storage of the target video corresponding to the target contact event in the vehicle surround view video stream data may include: based on the time point of occurrence of the target contact event, capturing and storing from the vehicle surround view video stream data a video segment centered on the time point of occurrence and extending before and after a second preset time length as the target video, wherein the second preset time length is shorter than the first preset time length.

[0044] Specifically, the second preset duration refers to a time length set for capturing a video segment related to the target contact event, and is used to define the total duration of the target video segment.

[0045] Exemplarily, first, the time point of occurrence of the target contact event can be accurately recorded, which is usually obtained by analyzing elastic wave sensor data or other relevant sensor data; then, the corresponding video frame can be located from the vehicle's surround view video stream data based on this occurrence time point; next, a second preset duration can be set, and this duration is usually set based on factors such as the nature of the target contact event, the accuracy requirements of the video analysis, and the limitations of storage space, and this duration will be shorter than the first preset duration (i.e., the loop coverage duration of the vehicle's surround view video stream data); finally, with the occurrence time point as the center, video clips extending before and after the second preset duration can be intercepted and stored from the video stream data as the target video.

[0046] For example, the first preset duration is set to 2 minutes (120 seconds), and the second preset duration is set to 30 seconds. When a target contact event is detected, the time point of the event is marked as T. A video clip centered at time point T, extending forward 15 seconds (T-15 seconds) and backward 15 seconds (T+15 seconds) can be captured, and a total of 30 seconds of video is used as the target video.

[0047] Through the implementation of the above-mentioned embodiments, the video clips before and after the event are intercepted, which ensures the integrity and continuity of the event-related videos, avoids unnecessary video data, and saves storage space. It not only saves storage space, but also makes it convenient for users to quickly locate key video clips, thereby improving search efficiency.

[0048] In some embodiments, the aforementioned determination of whether a target contact event occurs based on the elastic wave sensing data may include: when a waveform peak value of the elastic wave sensing data is greater than or equal to a first preset peak value, determining that a target contact event occurs; when the waveform peak value is less than the first preset peak value, determining that a target contact event does not occur.

[0049] Specifically, the first preset peak value is a preset critical value of the elastic wave sensing data waveform peak value, which is used to determine whether a target contact event occurs in the vehicle.

[0050] Exemplarily, first, the elastic wave sensor data can be received and processed in real time to obtain its waveform peak value; then, a first preset peak value can be set in advance, and this peak value is usually set according to factors such as the nature of the target contact event, the sensitivity of the elastic wave sensor, and the false alarm rate requirements of the system; next, the waveform peak value obtained in real time can be compared with the first preset peak value. If the waveform peak value is greater than or equal to the first preset peak value, it will be judged that a target contact event has occurred, and the corresponding subsequent processing flow will be triggered (such as intercepting and storing the target video in the vehicle surround view video stream data, etc.); if the waveform peak value is less than the first preset peak value, it will be judged that no target contact event has occurred, and the elastic wave sensor data will continue to be received and processed in real time.

[0051] Through the implementation of the above embodiments, the waveform peak threshold is set to determine the contact event, which improves the accuracy of event detection, reduces false alarms and missed alarms, ensures that subsequent actions are triggered only when they are really needed, and improves the accuracy and reliability of vehicle contact event detection.

[0052] In some embodiments, the aforementioned vehicle contact event detection method may further include: when it is determined that a target contact event has occurred and the waveform peak is greater than or equal to a second preset peak, performing a vehicle light warning operation; when it is determined that a target contact event has occurred and the waveform peak is greater than or equal to a third preset peak, performing a vehicle sound warning operation and transmitting the target video to a target mobile device via remote transmission, wherein the third preset peak is greater than the second preset peak, the second preset peak is greater than the first preset peak, and the target mobile device is the owner's mobile device.

[0053] Specifically, the second preset peak value is a preset threshold value of the elastic wave sensing data waveform peak value, which is higher than the first preset peak value; the third preset peak value is another preset threshold value of the elastic wave sensing data waveform peak value, which is higher than the second preset peak value.

[0054] Exemplarily, when it is determined that a target contact event has occurred and the waveform peak value of the elastic wave sensing data is greater than or equal to a second preset peak value, a vehicle light warning operation will be triggered; the light warning operation may include flashing the vehicle's width lights, brake lights or hazard warning lights, etc., to attract the attention of surrounding vehicles and pedestrians; when it is determined that a target contact event has occurred and the waveform peak value is greater than or equal to a third preset peak value, a stronger warning operation will be performed, including triggering a vehicle sound warning (such as honking, voice alarm, etc.) and transmitting the target video to the owner's mobile device via a remote transmission method (such as 4G / 5G network, Wi-Fi, etc.); the sound warning can further alert the attention of surrounding vehicles and pedestrians, while the remote transmission of the target video allows the owner to understand the accident situation in a timely manner even when he is far away from the vehicle.

[0055] Through the implementation of the above embodiment, different degrees of warning operations are triggered by different waveform peak thresholds, which can better adapt to contact events of different severity, and by remotely transmitting the video to the owner's mobile device, it is ensured that the owner can obtain the vehicle status information in a timely manner.

[0056] In some embodiments, the aforementioned vehicle contact event detection method may further include: determining the vehicle body position of the target contact event based on the sensing position source of the elastic wave sensing data; and determining the event type and contact intensity of the target contact event based on the waveform characteristics of the elastic wave sensing data.

[0057] Specifically, the sensing position source is the specific installation position of the elastic wave sensor on the vehicle. Each sensor has its specific monitoring area. By identifying the position of the sensor, we can know which part of the vehicle has a contact event; the body position refers to the specific part of the vehicle where the contact event occurs, such as the front bumper, side door, rear bumper, etc.; the waveform feature refers to the specific combination of parameters such as waveform shape, amplitude, frequency, duration, etc. in the elastic wave sensing data, which can reflect the physical characteristics of the contact event; the event type refers to the category of the contact event obtained based on the waveform feature analysis, such as door collision (short-term elastic wave change), malicious scratching (continuous elastic wave change), etc.; the contact intensity refers to the force acting on the vehicle in the event, which is usually measured by the waveform peak value of the elastic wave sensing data, such as a minor scratch, a moderate collision, or a severe impact.

[0058] For example, when elastic wave sensing data is received from a sensor, the position of the target contact event on the vehicle is most likely to be determined based on the location information of the sensor and possible waveform propagation characteristics (such as wave speed, attenuation, etc.); then, the waveform characteristics of the elastic wave sensing data can be analyzed. This includes parameters such as the shape, frequency, and amplitude of the waveform, such as using a pre-trained machine learning model or rule library to parse and classify these parameters. For example, certain specific waveform features may be associated with a certain type of event (such as a collision), while the amplitude of the waveform may reflect the intensity of the contact.

[0059] Through the implementation of the above-mentioned embodiment, the sensing position and waveform characteristics of the elastic wave sensing data are analyzed, so that the vehicle body position, type and intensity of the event can be determined, and detailed information is provided for event analysis and processing.

[0060] In some embodiments, the aforementioned vehicle contact event detection method may further include: when a weight change of the driver's seat is detected, displaying the file information of the aforementioned target video through an in-vehicle display device, wherein the file information may include a video name, and the aforementioned video name may include a vehicle body position, event type, and contact intensity.

[0061] For example, first, the weight change of the main driver's seat can be monitored in real time, which is usually achieved by installing a weight sensor under the seat; when it is detected that a driver sits on the main driver's seat (i.e., the weight changes), it will be determined whether it is the right time to display the target video file information. If so, the video file related to the target contact event can be retrieved from the storage unit, and its file information, especially the video name, can be extracted. This video name is designed to include the body position (such as "left door"), event type (such as "door collision") and contact intensity (such as "slight scratch") and other key information in an encoded form, so that the driver can quickly understand the video content; finally, this information can be clearly displayed to the driver through the in-vehicle display device (such as the touch screen of the center console, head-up display, etc.).

[0062] Through the implementation of the above embodiment, when the weight change of the driver's seat is detected, the file information of the target video is displayed through the in-vehicle display device, providing instant feedback to the driver, thereby enhancing the driver's understanding and handling capabilities of the event.

[0063] Furthermore, as an implementation of the aforementioned method embodiment, the present application also provides a vehicle contact event detection device for implementing the aforementioned method embodiment. The device embodiment corresponds to the aforementioned method embodiment. For ease of reading, the present vehicle contact event detection device embodiment will no longer repeat the details of the aforementioned method embodiment one by one, but it should be clear that the device in the embodiment of the present application can correspond to and implement all the contents of the aforementioned method embodiment. Figure 2 As shown, the vehicle contact event detection device 20 includes: a data acquisition unit 201, an event judgment unit 202 and a video storage unit 203, wherein the data acquisition unit 201 is used to acquire elastic wave sensor data and vehicle surround video stream data in real time; the event judgment unit 202 is used to judge whether a target contact event occurs based on the elastic wave sensor data; the video storage unit 203 is used to intercept and store the target video corresponding to the target contact event in the vehicle surround video stream data when it is judged that a target contact event occurs.

[0064] In some embodiments, the vehicle surround view video stream data is video stream data of a first preset duration closest to the current moment.

[0065] In some embodiments, the video saving unit 203 is also used to intercept and store video clips centered on the occurrence time point of the target contact event and extending before and after the second preset time point from the vehicle surround view video stream data as the target video, wherein the second preset time length is shorter than the first preset time length.

[0066] In some embodiments, the event judgment unit 202 is also used to judge that a target contact event has occurred when the waveform peak value of the elastic wave sensing data is greater than or equal to a first preset peak value; and to judge that a target contact event has not occurred when the waveform peak value is less than the first preset peak value.

[0067] In some embodiments, the vehicle contact event detection device 20 also includes an event warning unit, which is used to perform a vehicle light warning operation when it is determined that a target contact event has occurred and the waveform peak is greater than or equal to a second preset peak value; when it is determined that a target contact event has occurred and the waveform peak is greater than or equal to a third preset peak value, perform a vehicle sound warning operation and transmit the target video to a target mobile device via remote transmission, wherein the third preset peak value is greater than the second preset peak value, the second preset peak value is greater than the first preset peak value, and the target mobile device is the mobile device of the vehicle owner.

[0068] In some embodiments, the event determination unit 202 is further used to determine the vehicle body position of the target contact event based on the sensing position source of the elastic wave sensing data; and to determine the event type and contact intensity of the target contact event based on the waveform characteristics of the elastic wave sensing data.

[0069] In some embodiments, the event warning unit is also used to display the file information of the target video through the in-vehicle display device when a weight change of the driver's seat is detected, wherein the file information includes the video name, and the video name includes the vehicle body position, event type and contact intensity.

[0070] The present application also provides a computer-readable storage medium, which stores computer-executable instructions or computer programs. When the computer-executable instructions or computer programs are executed by a processor, the processor will be caused to execute any step of the vehicle contact event detection method provided in the present application.

[0071] In some embodiments, the computer-readable storage medium may be a memory such as RAM, read-only memory (ROM), flash memory, magnetic surface memory, optical disk, or compact disc read-only memory (CD-ROM); or it may be various devices including one or any combination of the above memories.

[0072] In some embodiments, computer executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0073] In some embodiments, computer-executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file storing other programs or data, for example, in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).

[0074] In some embodiments, computer executable instructions may be deployed to be executed on one electronic device, or on multiple electronic devices located at one site, or on multiple electronic devices distributed at multiple sites and interconnected by a communication network.

[0075] like Figure 3 As shown, the present application also provides an electronic device 30, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor, and when the processor 320 executes the computer program 311, any step of the above-mentioned vehicle contact event detection method is implemented.

[0076] The present application also provides a computer program product, which includes a computer program or computer executable instructions, and the computer program or computer executable instructions are stored in a computer-readable storage medium. The processor of the electronic device reads the computer program or computer executable instructions from the computer-readable storage medium, and the processor executes the computer program or computer executable instructions, so that the electronic device performs any step of the vehicle contact event detection method described above in the present application.

[0077] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A vehicle contact event detection method, characterized in that: include: Acquire elastic wave sensor data and vehicle surround view video stream data in real time; determining whether a target contact event occurs according to the elastic wave sensing data; When it is determined that the target contact event occurs, the target video corresponding to the target contact event in the vehicle surround view video stream data is intercepted and stored.

2. The vehicle contact event detection method according to claim 1, characterized in that: The vehicle surround view video stream data is the video stream data of the first preset duration closest to the current moment.

3. The vehicle contact event detection method according to claim 2, characterized in that: The intercepting and storing the target video corresponding to the target contact event in the vehicle surround view video stream data includes: According to the occurrence time point of the target contact event, video segments centered on the occurrence time point and extending before and after a second preset time length are intercepted and stored from the vehicle surround view video stream data as the target video, wherein the second preset time length is shorter than the first preset time length.

4. The vehicle contact event detection method according to claim 1, characterized in that: The step of determining whether a target contact event occurs according to the elastic wave sensing data includes: When the waveform peak value of the elastic wave sensing data is greater than or equal to a first preset peak value, determining that the target contact event occurs; When the waveform peak value is less than the first preset peak value, it is determined that the target contact event does not occur.

5. The vehicle contact event detection method according to claim 4, characterized in that: The vehicle contact event detection method further includes: When it is determined that the target contact event occurs and the waveform peak value is greater than or equal to a second preset peak value, performing a vehicle light warning operation; When it is determined that the target contact event occurs and the waveform peak is greater than or equal to a third preset peak, a vehicle sound warning operation is performed and the target video is transmitted to a target mobile device via remote transmission, wherein the third preset peak is greater than the second preset peak, the second preset peak is greater than the first preset peak, and the target mobile device is the mobile device of the vehicle owner.

6. The vehicle contact event detection method according to claim 1, characterized in that: The vehicle contact event detection method further includes: Determining the vehicle body position of the target contact event according to the sensing position source of the elastic wave sensing data; The event type and contact intensity of the target contact event are determined according to the waveform characteristics of the elastic wave sensing data.

7. The vehicle contact event detection method according to claim 6, characterized in that: The vehicle contact event detection method further includes: When a weight change of the driver's seat is detected, the file information of the target video is displayed through an in-vehicle display device, wherein the file information includes a video name, and the video name includes the vehicle body position, the event type, and the contact intensity.

8. A vehicle contact event detection device, characterized in that: include: A data acquisition unit, used for acquiring elastic wave sensor data and vehicle surround view video stream data in real time; An event determination unit, used to determine whether a target contact event occurs based on the elastic wave sensing data; The video storage unit is used to intercept and store the target video corresponding to the target contact event in the vehicle surround view video stream data when it is determined that the target contact event occurs.

9. An electronic device, comprising: A memory and a processor, wherein the processor is used to implement the steps of the vehicle contact event detection method as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the vehicle contact event detection method according to any one of claims 1 to 7 are implemented.

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