Vehicle safety early warning information detection method and system and storage medium

Abstract

The invention provides a vehicle safety early warning information detection method and system and a storage medium, and relates to the technical field of vehicle safety driving. If the early warning information collected by the plurality of early warning information sensors is received, determining the duration difference between the duration of each piece of early warning information and the preset standard duration and the synchronization degree of each piece of early warning information according to the starting time and the ending time of each piece of early warning information, and determining the synchronization degree of each piece of early warning information according to the duration difference and the synchronization degree. An information detection report of each piece of early warning information is generated, the information detection report comprises the compliance degree of each piece of early warning information, the synchronization degree and the similarity are positively correlated with the compliance degree of each piece of early warning information, and the duration difference is negatively correlated with the compliance degree of each piece of early warning information; according to the technical scheme, the compliance degree and quality of the early warning information collected by the plurality of early warning information sensors can be high, when a driver senses the early warning information collected by the plurality of early warning information sensors, it can be determined that the detected vehicle has the safe driving risk, and the accuracy is high.

Description

Technical Field

[0001] This application relates to the field of vehicle safety driving technology, and in particular to a vehicle safety warning information detection method, system and storage medium. Background Technology

[0002] With the development of technology, vehicle design is becoming increasingly intelligent. Advanced driver assistance systems (ADAS) are a prime example of this intelligent design. ADAS include safety warning functions, and typically, the reliability of these safety warning functions is tested before a vehicle leaves the factory to ensure safe driving for subsequent users.

[0003] Currently, vehicle safety warning functions can use data collected by a single sensor to assess the vehicle's driving safety risks and take control measures when necessary to prevent accidents, thereby enhancing the vehicle's intelligence and active safety.

[0004] However, a single sensor is susceptible to external interference (such as human or environmental interference), causing the system to misjudge a vehicle's driving safety risks based on data collected from a single sensor. Therefore, assessing a vehicle's driving safety risk using data from a single sensor has low accuracy. Summary of the Invention

[0005] This application provides a vehicle safety warning information detection method, system, and storage medium to solve the problem of low accuracy in assessing whether a detected vehicle has driving safety risks using data collected from a single sensor in the prior art.

[0006] Firstly, this application provides a method for detecting vehicle safety warning information, applied to the main controller of a vehicle safety warning information detection system, wherein the system further includes multiple different types of warning information sensors. The method provided in this application includes:

[0007] When the vehicle being tested reaches a preset speed, the driving parameters associated with the vehicle's movement are detected.

[0008] If the driving parameters associated with the detected vehicle indicate that there is a safety risk in the driving of the detected vehicle, determine whether warning information collected by multiple warning information sensors has been received.

[0009] If multiple warning information sensors collect warning information, the start and end times of receiving each warning information are recorded.

[0010] Based on the start and end times of each warning message, determine the duration difference between each warning message and the preset standard duration, as well as the degree of synchronization between each warning message;

[0011] Based on the time difference and the degree of synchronization, an information detection report is generated for each early warning message. The information detection report includes the compliance level of each early warning message, and the degree of synchronization is positively correlated with the compliance level of each early warning message, while the time difference is negatively correlated with the compliance level of each early warning message.

[0012] In some implementations, the synchronization degree of each early warning message is determined based on its start and end times, including:

[0013] Determine the first variance of the start time of each warning message, and determine the second variance of the end time of each warning message;

[0014] The degree of synchronization of each early warning message is determined by the sum of the first variance and the second variance. The sum of the first variance and the second variance is negatively correlated with the degree of synchronization.

[0015] In some implementations, multiple different types of warning information sensors include at least two of a voice acquisition module, a camera, and a vibration sensor disposed on the steering wheel. The multiple warning information includes at least two of the following: a voice prompt indicating a driving risk acquired by the voice acquisition module, a warning message indicating a driving risk displayed on the central control screen of the vehicle being tested acquired by the camera, and vibration signals acquired by the vibration sensor.

[0016] In some implementations, multiple different types of warning information sensors include a voice acquisition module, a camera, and a vibration sensor mounted on the steering wheel. The multiple warning information includes a voice prompt indicating a driving risk acquired by the voice acquisition module, a warning message indicating a driving risk displayed on the central control screen of the vehicle being tested acquired by the camera, and a vibration signal acquired by the vibration sensor.

[0017] In some embodiments, after determining whether warning information collected by multiple warning information sensors has been received, the method provided in this application further includes:

[0018] If no warning information is received from any warning information sensor, an information detection report is generated, which includes the type of warning information that was not received.

[0019] In some embodiments, before detecting driving parameters associated with the driving of the vehicle under test when the vehicle under test reaches a preset speed, the method provided in this application further includes:

[0020] When the vehicle being tested reaches a preset speed, the first historical driving parameters associated with the vehicle's movement are detected.

[0021] Under the condition that the first historical driving parameters associated with the driving of the detected vehicle indicate that there is a safety risk in the driving of the detected vehicle, the first historical warning information collected by multiple different types of warning information sensors is received.

[0022] Noise reduction filtering was performed on each of the collected first historical early warning information;

[0023] Extract the features of each first historical early warning message after noise reduction and filtering, and record them as standard information features of the corresponding type.

[0024] In some implementations, after extracting the features of each first historical early warning message after noise reduction and filtering, and recording them as standard information features of the corresponding type, the method provided in this application further includes:

[0025] When the vehicle being tested reaches a preset speed, the second historical driving parameters associated with the vehicle's movement are detected.

[0026] Under the condition that there is no safety risk in the driving of the detected vehicle, the second historical driving parameters associated with the driving of the detected vehicle are used to receive second historical warning information collected by multiple different types of warning information sensors.

[0027] Noise reduction filtering was applied to each of the collected second historical early warning information entries;

[0028] Extract the features of each second historical early warning message after noise reduction and filtering;

[0029] If the similarity between the features of any type of second historical warning information and the features of the corresponding type of first historical warning information is higher than the set similarity threshold, then a prompt message indicating that the features of the first historical warning information of that type are false detection features will be output.

[0030] Secondly, this application also provides a vehicle safety warning information detection system, including a main controller and multiple different types of warning information sensors, wherein the main controller is used to execute the method of the first aspect of this application.

[0031] Thirdly, this application also provides a storage medium storing a computer program, which, when executed by a processor, causes the computer to perform the method provided in the first aspect of this application.

[0032] Fourthly, this application also provides a computer program product, including a computer program that, when run, causes a main controller to perform the method as described in the first aspect of this application.

[0033] This application provides a vehicle safety warning information detection method, system, and storage medium. If multiple warning information sensors collect warning information, the method determines the duration difference between each warning information and a preset standard duration, as well as the synchronization degree of each warning information, based on the start and end times of each warning information. Furthermore, based on the duration difference and synchronization degree, an information detection report for each warning information is generated. This report includes the compliance degree of each warning information, with the synchronization degree positively correlated with the compliance degree and the duration difference negatively correlated. This allows for accurate verification of the compliance degree and quality of warning information collected by multiple sensors. If the compliance degree and quality of the warning information collected by multiple sensors are low, the user can improve the warning information, thereby increasing its compliance degree and quality. Therefore, when a driver perceives warning information collected by multiple sensors, it can be determined that the detected vehicle poses a safety driving risk with high accuracy. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 A circuit connection block diagram of the main controller provided in this application embodiment with the voice acquisition module, the camera, and the vibration sensor respectively;

[0036] Figure 2 A flowchart of the vehicle safety warning information detection method provided in the embodiments of this application;

[0037] Figure 3 A flowchart illustrating the standard information features of the vehicle safety warning information detection method provided in this application embodiment during the calibration and verification stages;

[0038] Figure 4 This is a functional block diagram of the vehicle safety warning information detection device provided in the embodiments of this application. Detailed Implementation

[0039] Embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. Furthermore, descriptions of well-known structures and technologies are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0040] The accompanying drawings illustrate various structural schematics according to embodiments of the present disclosure. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0041] In the context of this disclosure, when a layer / element is referred to as being "above" another layer / element, the layer / element may be directly above the other layer / element, or there may be an intermediate layer / element between them. Additionally, if a layer / element is "above" another layer / element in one orientation, then when the orientation is reversed, the layer / element may be "below" the other layer / element.

[0042] The technical solutions of this application and how they solve the aforementioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0043] This application provides a vehicle safety warning information detection method, applied to the main controller 101 of a vehicle safety warning information detection system. The system also includes multiple different types of warning information sensors electrically connected to the main controller 101. These sensors include at least two of a voice acquisition module 102, a camera 103, and a vibration sensor 104 mounted on the steering wheel. Figure 1 As shown, multiple different types of warning information sensors include a voice acquisition module 102 (such as a microphone), a camera 103, and a vibration sensor 104 mounted on the steering wheel. The vibration sensor 104 can be, but is not limited to, a 3-axis accelerometer with a range of ±16g and a sampling frequency of 5kHz, which can be used to detect the vibration amplitude and frequency characteristics of the steering wheel of the vehicle being tested. The voice acquisition module 102 can be, but is not limited to, a 6-microphone ring array with a frequency response range of 20Hz-20kHz and an integrated wind noise suppression module, which can eliminate low-frequency wind noise through hardware-level filtering. The camera 103 can be, but is not limited to, a high-definition camera with a resolution of 1080p.

[0044] like Figure 2 As shown, the method provided in this application embodiment includes:

[0045] S201: When the vehicle being tested reaches a preset speed, detect the driving parameters associated with the driving of the vehicle being tested.

[0046] The preset vehicle speed can be, but is not limited to, 20 km / h, 30 km / h, or similar speeds, etc., and is not limited here. It should be noted that if the detected vehicle maintains the preset speed for a specified duration (e.g., 30 seconds), it can be determined that the detected vehicle has reached the preset speed. The driving parameters associated with the detected vehicle's movement include, but are not limited to, the driver's human image, the deviation angle of the detected vehicle's driving direction from the direction of its lane line, the operational status of the turn signals, the distance between the detected vehicle and the vehicle in front (e.g., detected by millimeter-wave radar), and the relative speed between the detected vehicle and the vehicle in front, etc., and are not limited here.

[0047] S202: If the driving parameters associated with the detected vehicle are determined, indicating that there is a safety risk in the driving of the detected vehicle, determine whether multiple warning information sensors have been received. If not, proceed to S203; if yes, proceed to S204.

[0048] For example, a driver's human body image can be input into a pre-trained image recognition model to determine whether the driver is in a state of fatigued driving. If the driver is in a state of fatigued driving, it indicates that the detected vehicle is at risk of driving. The image recognition model is trained by inputting multiple historical human body images of drivers labeled with image tags into a neural network. The image tags are used to indicate whether the driver is in a state of fatigued driving or not.

[0049] For example, if the deviation angle between the direction of the vehicle being tested and the direction of the lane line is greater than a set angle, and the turn signal corresponding to the direction of the deviation angle is not turned on, it indicates that there is a safety risk in the driving of the vehicle being tested.

[0050] For example, if the distance between the detected vehicle and the vehicle in front is less than a set distance threshold (e.g., 20m), and the relative speed between the detected vehicle and the vehicle in front is greater than a set speed threshold (e.g., 25km / h), it indicates that there is a safety risk in the driving of the detected vehicle.

[0051] For example, determining whether warning information collected by multiple warning information sensors has been received can be achieved by: performing noise reduction filtering on the warning information collected by multiple warning information sensors respectively; extracting the features of the warning information collected by multiple warning information sensors after noise reduction filtering; determining that the similarity between each type of warning information and the pre-recorded standard information features of the corresponding type is higher than a set similarity threshold (e.g., 90%); if so, then it is determined that warning information collected by multiple warning information sensors has been received.

[0052] Specifically, the multiple warning messages include at least two of the following: a voice warning indicating a driving risk collected by the voice acquisition module 102; a warning message indicating a driving risk displayed on the central control screen of the vehicle being tested, collected by the camera 103; and a vibration signal collected by the vibration sensor 104. For example, the multiple warning messages include a voice warning indicating a driving risk collected by the voice acquisition module 102; a warning message indicating a driving risk displayed on the central control screen of the vehicle being tested, collected by the camera 103; and a vibration signal collected by the vibration sensor 104.

[0053] S203: Generate an information detection report, which includes the types of warning information that were not received.

[0054] If no warning information is received from any warning information sensor (such as a warning message indicating a driving risk displayed on the central control screen of the vehicle being tested), it indicates that the warning information sensor corresponding to the type of warning information not received is faulty. Therefore, an information detection report is directly generated for maintenance personnel to refer to.

[0055] S204: Record the start and end times of receiving each warning message.

[0056] S205: Based on the start and end times of each warning message, determine the duration difference between each warning message and the preset standard duration, as well as the synchronization degree of each warning message.

[0057] For example, a first variance of the start time of each warning message and a second variance of the end time of each warning message are determined; the degree of synchronization of each warning message is determined based on the sum of the first and second variances, wherein the sum of the first and second variances is negatively correlated with the degree of synchronization. For example, the degree of synchronization of each warning message can be determined from a preset relational table based on the sum of the first and second variances.

[0058] S206: Generate information detection reports for each early warning message based on the time difference and synchronization level.

[0059] The information monitoring report includes the compliance level of each early warning message, and the synchronization level is positively correlated with the compliance level of each early warning message, while the time difference is negatively correlated with the compliance level of each early warning message.

[0060] Understandably, a first compliance score can be retrieved from a pre-defined relationship table based on the time difference, and a second compliance score can be retrieved from the same table based on the degree of synchronization. Then, a weighted average of the first and second compliance scores is calculated to obtain the compliance level of each warning message.

[0061] In summary, the vehicle safety warning information detection method provided in this application, if receiving warning information collected by multiple warning information sensors, determines the duration difference between each warning information and a preset standard duration, as well as the synchronization degree of each warning information, based on the start and end times of each warning information. Furthermore, an information detection report for each warning information can be generated based on the duration difference and synchronization degree. This information detection report includes the compliance degree of each warning information, with the synchronization degree positively correlated with the compliance degree and the duration difference negatively correlated with the compliance degree. This allows for accurate verification of the compliance degree and quality of warning information collected by multiple sensors. If the compliance degree and quality of the warning information collected by multiple sensors are low, the user can improve the warning information collected by the multiple sensors, thereby increasing the compliance degree and quality. Therefore, when a driver perceives warning information collected by multiple sensors, it can be determined that the detected vehicle poses a safety driving risk, demonstrating high accuracy.

[0062] like Figure 3 As shown, prior to S201 above, the method provided in this application embodiment further includes:

[0063] S301: When the vehicle being tested reaches a preset speed, detect the first historical driving parameters associated with the driving of the vehicle being tested.

[0064] S301 is based on the same principle as S201 mentioned above, and will not be described in detail here.

[0065] S302: When the first historical driving parameters associated with the driving of the detected vehicle indicate that there is a safety risk in the driving of the detected vehicle, the system receives the first historical warning information collected by multiple different types of warning information sensors.

[0066] S302 is based on the same principle as S202 mentioned above, and will not be described in detail here.

[0067] S303: Perform noise reduction filtering on each of the collected first historical early warning information.

[0068] S304: Extract the features of each first historical early warning message after noise reduction and filtering, and record them as standard information features of the corresponding type.

[0069] For example, the noise-reduced and filtered warning voice indicating a driving risk can be recorded as a standard voice information feature; the noise-reduced and filtered warning message displayed on the central control screen of the tested vehicle can be recorded as an image-based standard information feature; and the noise-reduced and filtered vibration signal can be recorded as a signal-based standard information feature. Based on the above steps S301-S303, the standard information features can be accurately obtained.

[0070] In some implementations, after S304, the method provided in this application embodiment may further include:

[0071] S305: When the vehicle being tested reaches a preset speed, detect the second historical driving parameters associated with the driving of the vehicle being tested.

[0072] S306: Under the condition that the second historical driving parameters associated with the driving of the detected vehicle indicate that there is no safety risk in the driving of the detected vehicle, the second historical warning information collected by multiple different types of warning information sensors is received.

[0073] S307: Perform noise reduction filtering on each of the collected second historical early warning information.

[0074] S308: Extract the features of each second historical early warning message after noise reduction and filtering.

[0075] S309: Determine whether the similarity between the features of any type of second historical early warning information and the features of the corresponding type of first historical early warning information is higher than the set similarity threshold. If not, it means that the feature accuracy of the first historical early warning information of that type is high, then execute S201; if yes, then execute S310.

[0076] For example, the first historical warning information features of each type are mapped to a first warning feature vector, and the second historical warning information of each type is mapped to a second warning feature vector; the distance between each first warning information feature vector and the corresponding second warning feature vector of the type is determined; based on the distance, the similarity between each first warning information feature vector and the corresponding second warning feature vector of the type is determined, wherein the distance and similarity are negatively correlated.

[0077] S310: Output the prompt information of the first historical warning information of this type, which is characterized by false detection.

[0078] In this way, the maintenance personnel can be notified that the characteristics of the first historical warning information of this type are inaccurate and need to be recalibrated.

[0079] In addition, such as Figure 4As shown, this application embodiment provides a vehicle safety warning information detection device, applied to the main controller 101 of a vehicle safety warning information detection system. The system also includes multiple different types of warning information sensors. It should be noted that the vehicle safety warning information detection device provided in this application embodiment has the same basic principle and technical effects as the above embodiments. For the sake of brevity, any parts not mentioned in this application embodiment can be referred to the corresponding content in the above embodiments. Figure 4 As shown, the apparatus provided in this application embodiment includes a parameter detection unit, a warning information receiving unit, a time recording unit, a data determination unit, and a report generation unit, wherein...

[0080] The parameter detection unit is used to detect driving parameters related to the driving of the vehicle being tested when the vehicle being tested reaches a preset speed.

[0081] The warning information receiving unit is used to determine whether to receive warning information collected by multiple warning information sensors when the driving parameters associated with the driving of the detected vehicle indicate that there is a safety risk in the driving of the detected vehicle.

[0082] The time recording unit is used to record the start and end times of receiving each warning message if multiple warning information sensors are received.

[0083] The data determination unit is used to determine the duration difference between each warning message and the preset standard duration, as well as the synchronization degree of each warning message, based on the start and end times of each warning message.

[0084] The report generation unit is used to generate information detection reports for each warning message based on the time difference, synchronization degree, and similarity. The information detection report includes the compliance degree of each warning message, and the synchronization degree is positively correlated with the compliance degree of each warning message, while the time difference is negatively correlated with the compliance degree of each warning message.

[0085] In some implementations, the data determination unit is specifically used to determine a first variance of the start time of each warning message and a second variance of the end time of each warning message; and to determine the degree of synchronization of each warning message based on the sum of the first variance and the second variance, wherein the sum of the first variance and the second variance is negatively correlated with the degree of synchronization.

[0086] In some implementations, multiple different types of warning information sensors include at least two of the following: a voice acquisition module 102, a camera 103, and a vibration sensor 104 disposed on the steering wheel. The multiple warning information includes at least two of the following: a voice prompt indicating a driving risk acquired by the voice acquisition module 102, a warning message indicating a driving risk displayed on the central control screen of the vehicle being tested acquired by the camera 103, and a vibration signal acquired by the vibration sensor 104.

[0087] In some implementations, multiple different types of warning information sensors include a voice acquisition module 102, a camera 103, and a vibration sensor 104 mounted on the steering wheel. The multiple warning information includes a voice prompt indicating a driving risk collected by the voice acquisition module 102, a warning message indicating a driving risk displayed on the central control screen of the vehicle being tested collected by the camera 103, and a vibration signal collected by the vibration sensor 104.

[0088] In some implementations, the report generation unit is further configured to generate an information detection report if no warning information is received from any warning information sensor, the information detection report including the type of warning information not received.

[0089] In some implementations, the parameter detection unit is also used to detect first historical driving parameters associated with the driving of the vehicle being detected when the vehicle being detected reaches a preset speed.

[0090] The warning information receiving unit is also used to receive first historical warning information collected by multiple different types of warning information sensors when the first historical driving parameters associated with the driving of the detected vehicle indicate that there is a safety risk in the driving of the detected vehicle.

[0091] The apparatus provided in this application embodiment may further include:

[0092] The noise reduction and filtering unit is used to perform noise reduction and filtering on each of the collected first historical early warning information.

[0093] The feature calibration unit is used to extract the features of each first historical early warning information after noise reduction and filtering, and record them as standard information features of the corresponding type.

[0094] Furthermore, in some embodiments, the parameter detection unit is also used to detect a second historical driving parameter associated with the driving of the vehicle being detected when the vehicle being detected reaches a preset speed.

[0095] The warning information receiving unit is also used to receive second historical warning information collected by multiple different types of warning information sensors when the second historical driving parameters associated with the driving of the detected vehicle indicate that there is no safety risk in the driving of the detected vehicle.

[0096] The noise reduction and filtering unit is also used to perform noise reduction and filtering on each of the collected second historical early warning information;

[0097] The apparatus provided in this application embodiment may further include:

[0098] The feature extraction unit is used to extract features from each second historical early warning information after noise reduction and filtering.

[0099] The information output unit is used to output a prompt message indicating that the features of the first historical warning information of any type are false detection features if the similarity between the features of the second historical warning information of any type and the features of the first historical warning information of the corresponding type is higher than a set similarity threshold.

[0100] In addition, this application also provides a vehicle safety warning information detection system, including a main controller and multiple different types of warning information sensors. The main controller is used to execute the method provided in the above embodiments of this application.

[0101] In addition, this application embodiment also provides a storage medium storing a computer program, which, when executed by a processor, causes the computer to perform the method provided in the above embodiments of this application.

[0102] In addition, this application also provides a computer program product, including a computer program that, when run, causes a main controller to execute the method as described in the above embodiments of this application.

[0103] The above description does not provide detailed technical specifications regarding the structure of each layer. However, those skilled in the art should understand that layers and regions of desired shapes can be formed using various technical means. Furthermore, to form the same structure, those skilled in the art can also design methods that are not entirely identical to those described above. Additionally, although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be advantageously combined.

[0104] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0105] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for detecting vehicle safety warning information, characterized in that, A main controller for a vehicle safety warning information detection system, the system also including multiple different types of warning information sensors, the method comprising: When the vehicle being tested reaches a preset speed, the driving parameters associated with the driving of the vehicle being tested are detected. If the driving parameters associated with the detected vehicle indicate that there is a safety risk in the driving of the detected vehicle, it is determined whether to receive warning information collected by multiple warning information sensors. If multiple warning information sensors collect warning information, the start and end times of receiving each warning information are recorded. Based on the start and end times of each warning message, determine the duration difference between the duration of each warning message and the preset standard duration, and the degree of synchronization of each warning message; Based on the time difference and the synchronization degree, an information detection report is generated for each of the early warning messages. The information detection report includes the compliance degree of each early warning message, and the synchronization degree is positively correlated with the compliance degree of each early warning message, while the time difference is negatively correlated with the compliance degree of each early warning message.

2. The method according to claim 1, characterized in that, Based on the start and end times of each warning message, the synchronization degree of each warning message is determined, including: Determine the first variance of the start time of each of the aforementioned warning messages, and determine the second variance of the end time of each of the aforementioned warning messages; The synchronization degree of each of the early warning messages is determined based on the sum of the first variance and the second variance, wherein the sum of the first variance and the second variance is negatively correlated with the synchronization degree.

3. The method according to claim 1, characterized in that, The plurality of different types of warning information sensors include at least two of the following: a voice acquisition module, a camera, and a vibration sensor installed on the steering wheel. The plurality of warning information includes at least two of the following: a voice prompt indicating a driving risk acquired by the voice acquisition module, a warning message indicating a driving risk displayed on the central control screen of the vehicle being tested acquired by the camera, and vibration signals acquired by the vibration sensor.

4. The method according to claim 3, characterized in that, The multiple different types of warning information sensors include a voice acquisition module, a camera, and a vibration sensor installed on the steering wheel. The multiple warning information includes a warning voice collected by the voice acquisition module indicating a driving risk, a warning message indicating a driving risk displayed on the central control screen of the vehicle being tested, collected by the camera, and a vibration signal collected by the vibration sensor.

5. The method according to claim 1, characterized in that, After determining whether warning information collected by multiple warning information sensors has been received, the method further includes: If no warning information is received from any of the warning information sensors, an information detection report is generated, which includes the type of warning information that was not received.

6. The method according to any one of claims 1-5, characterized in that, Before detecting driving parameters associated with the driving of the vehicle under test when the vehicle reaches a preset speed, the method further includes: When the vehicle being tested reaches a preset speed, the first historical driving parameters associated with the driving of the vehicle being tested are detected. When the first historical driving parameters associated with the driving of the detected vehicle indicate that there is a safety risk in the driving of the detected vehicle, the system receives first historical warning information collected by multiple different types of warning information sensors. Each of the first historical early warning information collected is subjected to noise reduction filtering; Extract the features of each of the first historical early warning messages after noise reduction and filtering, and record them as standard information features of the corresponding type.

7. The method according to claim 6, characterized in that, After extracting the features of each first historical early warning information after noise reduction and filtering, and recording them as standard information features of the corresponding type, the method further includes: When the vehicle being tested reaches a preset speed, a second historical driving parameter associated with the driving of the vehicle being tested is detected. When the second historical driving parameters associated with the driving of the detected vehicle indicate that there is no safety risk in the driving of the detected vehicle, the second historical warning information collected by multiple different types of warning information sensors is received. Each of the collected second historical early warning information items was subjected to noise reduction filtering; Extract the features of each of the second historical early warning information after noise reduction and filtering; If the similarity between the features of the second historical warning information of any type and the features of the first historical warning information of the corresponding type is higher than the set similarity threshold, then a prompt message indicating that the features of the first historical warning information of that type are false detection features will be output.

8. A vehicle safety early warning information detection system, characterized in that, It includes a main controller and multiple different types of early warning information sensors, wherein the main controller is used to perform the method according to any one of claims 1-7.

9. A storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it causes the computer to perform the method as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is run, it causes the main controller to perform the method as described in any one of claims 1 to 7.

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