A vehicle safety warning method, device, equipment and medium

Abstract

The application discloses a vehicle safety early warning method, device, equipment and medium, and belongs to the technical field of Internet of Vehicles. The method comprises the following steps: acquiring an accident identification type image; acquiring an accident lane occupation image; acquiring the distance between a current vehicle and an accident site; determining an accident identification score according to the accident identification type image, determining an available lane score according to the accident lane occupation image, and determining a distance score according to the distance between the current vehicle and the accident site; calculating an accident score according to the accident identification score, the available lane score and the distance score; and warning the passengers of the vehicle according to the accident score. The technical scheme of the application is applicable to various vehicles, and can avoid secondary damage caused by traffic accidents, regardless of whether the vehicle is equipped with a wireless communication device.

Description

Technical Field

[0001] This application relates to the field of vehicle networking technology, and in particular to a vehicle safety early warning method, device, equipment and medium. Background Technology

[0002] Currently, vehicle safety warnings are mainly achieved by using the vehicle's built-in camera to identify warning triangles to avoid secondary hazards caused by traffic accidents. However, this method requires the vehicle to be relatively close to the accident site. When the vehicle is far from the accident site, it cannot use the vehicle's built-in camera to identify warning triangles in advance. Furthermore, this identification scheme is relatively simple and prone to blind spots. Summary of the Invention

[0003] To overcome the aforementioned technical deficiencies, the purpose of this application is to provide a vehicle safety warning method, device, equipment, and medium. The method includes: acquiring an accident identification type image through public acquisition equipment and / or vehicles surrounding the accident site and / or the current vehicle; acquiring an image of the lane occupied by the accident; acquiring the distance between the current vehicle and the accident site; determining an accident identification score based on the accident identification type image; determining an available lane score based on the image of the lane occupied by the accident; determining a distance score based on the distance between the current vehicle and the accident site; calculating an accident score based on the accident identification score, the available lane score, and the distance score; and issuing a warning to the vehicle passengers based on the accident score. The technical solution of this application is applicable to all types of vehicles, regardless of whether the vehicle is equipped with a vehicle wireless communication device, and can avoid secondary hazards caused by traffic accidents.

[0004] The specific technical solutions provided in this application are as follows:

[0005] Firstly, a vehicle safety warning method is provided, the method comprising:

[0006] Acquire images of the accident type using public data collection equipment and / or vehicles surrounding the accident site and / or current vehicles; acquire images of the lane occupied by the accident; acquire the distance between the current vehicle and the accident site;

[0007] An accident identification score is determined based on the accident identification type image, an available lane score is determined based on the accident-occupied lane image, and a distance score is determined based on the distance between the current vehicle and the accident site.

[0008] The accident score is calculated based on the accident identification score, the available lane score, and the distance score.

[0009] The vehicle passengers are given a warning based on the accident score.

[0010] Furthermore, the acquisition of accident identification type images through public acquisition equipment and / or vehicles surrounding the accident site and / or current vehicles includes:

[0011] Determine whether the current vehicle is equipped with a vehicle wireless communication device;

[0012] If yes, then determine whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site; if no, then identify the accident identification type image based on the current vehicle.

[0013] The determination of whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site includes:

[0014] Determine whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site;

[0015] If yes, the accident identification type image is identified through public acquisition equipment and / or vehicles around the accident site; if not, the accident identification type image is identified through the current vehicle.

[0016] The process of identifying accident identification type images through public acquisition equipment and / or vehicles surrounding the accident site includes:

[0017] Determine whether the accident site is in a blind spot of public data collection equipment;

[0018] If yes, then the accident identification type image is identified by vehicles in the vicinity of the accident site; if not, then the accident identification type image is identified by public acquisition equipment.

[0019] Furthermore, the step of identifying the accident recognition type image through the current vehicle includes:

[0020] Determine whether the current vehicle has detected the accident location alert device;

[0021] If yes, the system acquires the image of the accident location alert device through the current vehicle and sends the image of the accident location alert device recognized by the current vehicle to the score calculation module; if no, the system determines whether the current vehicle has recognized the accident location image.

[0022] The determination of whether the current vehicle has detected an image of the accident site includes:

[0023] Determine whether the current vehicle has recognized the image of the accident site;

[0024] If yes, the accident site image is obtained through the current vehicle, and the accident site image identified by the current vehicle is sent to the score calculation module; if no, the accident identification type image is identified through the current vehicle in a loop according to the first time threshold.

[0025] Furthermore, the identification of accident identification type images through public acquisition equipment includes:

[0026] Determine whether the public data collection equipment has detected the accident site alert device;

[0027] If yes, the system acquires the accident site alert image through the public acquisition device and sends the accident site alert image identified by the public acquisition device to the score calculation module; if no, the system determines whether the public acquisition device has identified the accident site image.

[0028] The determination of whether the public acquisition equipment has identified the image of the accident site includes:

[0029] Determine whether the public data acquisition equipment has recognized the image of the accident site;

[0030] If yes, the accident site image is acquired through the public acquisition device, and the accident site image identified by the public acquisition device is sent to the score calculation module; if no, the accident identification type image is identified cyclically through the public acquisition device according to the first time threshold.

[0031] The process of identifying accident type images from vehicles surrounding the accident site includes:

[0032] Determine whether vehicles in the vicinity of the accident site have recognized the accident site warning device;

[0033] If yes, then obtain the accident site warning device image through vehicles around the accident site, and send the accident site warning device image recognized by the vehicles around the accident site to the score calculation module; if no, then determine whether the vehicles around the accident site have recognized the accident site image.

[0034] The determination of whether vehicles around the accident site can be identified in the accident site image includes:

[0035] Determine whether vehicles around the accident site are recognized in the accident site image;

[0036] If yes, then obtain images of the accident site through vehicles around the accident site, and send the accident site images identified by the vehicles around the accident site to the score calculation module; if no, then cyclically identify the accident identification type images through vehicles around the accident site according to the first time threshold.

[0037] Further, the steps of determining an accident recognition score based on the accident recognition type image, determining an available lane score based on the accident-occupied lane image, and determining a distance score based on the distance between the current vehicle and the accident site include:

[0038] The accident identification score is determined based on the accident identification type image and the relationship table between the accident identification type image and the corresponding identification score.

[0039] The available lane score is determined based on the image of the lane occupied by the accident and the relationship table between the available lanes after the accident and the corresponding available lane scores.

[0040] The distance score is determined based on the current distance between the vehicle and the accident site, as well as the relationship between the distance between the vehicle and the accident site and the corresponding distance score table.

[0041] Further, the calculation of the accident score based on the accident identification score, the available lane score, and the distance score includes:

[0042] Obtain accident recognition score; obtain available lane score; obtain distance score;

[0043] The accident score is calculated using the formula: Accident Score = (Accident Recognition Score + Available Lane Score) * Distance Score.

[0044] Furthermore, the step of issuing a warning to the vehicle passengers based on the accident score includes:

[0045] Based on the accident score, warnings are issued to the vehicle passengers according to different levels.

[0046] Furthermore, the step of issuing warnings to vehicle passengers according to different levels based on the accident score includes:

[0047] When the accident score is less than the first threshold, the accident location is marked on the vehicle navigation system or an image of the accident scene is displayed on the vehicle display device.

[0048] When the accident score is between the first threshold and the second threshold, the vehicle passengers are given a voice prompt indicating the available lanes at the accident site according to the second time threshold interval;

[0049] When the accident score is greater than the second threshold, the switching frequency of the vehicle reading lights and ambient lights is adjusted.

[0050] When the accident score equals the third threshold, the warning for the vehicle passengers is stopped.

[0051] Secondly, a vehicle safety warning device is provided, the device comprising:

[0052] The image recognition module is used to acquire images of the accident type and the lane occupied by the accident through public acquisition equipment and / or vehicles around the accident site and / or the current vehicle;

[0053] The distance calculation module is used to obtain the distance between the current vehicle and the accident site;

[0054] The score calculation module is used to determine an accident recognition score based on the accident recognition type image, determine an available lane score based on the accident-occupied lane image, and determine a distance score based on the distance between the current vehicle and the accident site; and to calculate an accident score based on the accident recognition score, the available lane score, and the distance score.

[0055] The warning module is used to issue warnings to the vehicle passengers based on the accident score.

[0056] Thirdly, a computer device is provided, the device comprising:

[0057] A memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the vehicle safety warning method as described in any of the first aspects.

[0058] Fourthly, a computer storage medium is provided, the medium comprising:

[0059] It stores a computer program that, when executed by a processor, implements the steps of the vehicle safety warning method described in any of the first aspects.

[0060] Compared with existing technologies, the vehicle safety warning method provided in this application includes: acquiring an accident identification type image through public acquisition equipment and / or vehicles around the accident site and / or the current vehicle; acquiring an image of the lane occupied by the accident; acquiring the distance between the current vehicle and the accident site; determining an accident identification score based on the accident identification type image; determining an available lane score based on the image of the lane occupied by the accident; determining a distance score based on the distance between the current vehicle and the accident site; calculating an accident score based on the accident identification score, the available lane score, and the distance score; and issuing a warning to the vehicle passengers based on the accident score. This application's technical solution is applicable to all types of vehicles, regardless of whether the vehicle is equipped with a vehicle wireless communication device, and can avoid secondary hazards caused by traffic accidents.

[0061] Compared to relying solely on the vehicle's own camera, the technical solution provided in this application uses a public transportation camera. Because public transportation cameras have a wide field of view and a long observation distance, they can remotely identify accident warning triangles and notify the driver. At the same time, the vehicle's onboard camera and cameras in vehicles within 1km of the accident site also participate in the identification, avoiding blind spots for public transportation cameras. After the camera identifies the warning device (warp), it can display an image of the accident scene and provide voice prompts indicating available lanes, which helps the driver adjust their lane in advance. Furthermore, different warning methods can be used for passengers based on the calculated accident score or the urgency of the accident, increasing the safety and intelligence of vehicle operation. Attached Figure Description

[0062] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0063] Figure 1 A flowchart of the vehicle safety warning method provided in Embodiment 1 of this application;

[0064] Figure 2 A flowchart of the image recognition method provided in Embodiment 2 of this application;

[0065] Figure 3 This is a classification diagram of vehicle safety warning provided in Embodiment 2 of this application;

[0066] Figure 4 This is a structural diagram of the vehicle safety warning device provided in Embodiment 3 of this application;

[0067] Figure 5 This is an exemplary system provided for Embodiment 5 of this application, which can be used to implement the various embodiments described in this application. Detailed Implementation

[0068] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0069] It should be noted that, unless the context explicitly requires it, the words "comprising," "including," and similar terms in the entire specification and claims should be interpreted as encompassing rather than being exclusive or exhaustive; that is, meaning "including but not limited to."

[0070] Furthermore, in the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0071] Example 1

[0072] This application provides a vehicle safety warning method, such as... Figure 1 As shown, the method includes:

[0073] Acquire images of the accident type using public data collection equipment and / or vehicles surrounding the accident site and / or current vehicles; acquire images of the lane occupied by the accident; acquire the distance between the current vehicle and the accident site;

[0074] An accident identification score is determined based on the accident identification type image, an available lane score is determined based on the accident-occupied lane image, and a distance score is determined based on the distance between the current vehicle and the accident site.

[0075] The accident score is calculated based on the accident identification score, the available lane score, and the distance score;

[0076] The vehicle passengers are given a warning based on the accident score.

[0077] Specifically, when a traffic accident is detected ahead of the vehicle, an accident identification type image is acquired through public cameras and / or cameras of vehicles surrounding the accident site and / or the camera of the current vehicle; an image of the lane occupied by the accident is acquired; the distance between the current vehicle and the accident site is acquired; an accident identification score is determined based on the accident identification type image; an available lane score is determined based on the image of the lane occupied by the accident; a distance score is determined based on the distance between the current vehicle and the accident site; an accident score is calculated based on the accident identification score, the available lane score, and the distance score; and a warning is issued to the vehicle's passengers based on the accident score.

[0078] The data collection device here is a camera;

[0079] Here, in the process of acquiring accident identification type images and accident lane occupancy images, both images can be acquired simultaneously from a single image, or they can be acquired separately from different images.

[0080] Meanwhile, when issuing warnings to vehicle passengers based on the accident score, if the current vehicle has a vehicle-to-everything (V2X) wireless communication device (e.g., V2X-BOX), the current vehicle can also send the calculated accident score to other nearby vehicles for use in issuing safety warnings to other vehicles.

[0081] The beneficial effects of the technical solutions provided in this application are:

[0082] The technical solutions provided in this application are applicable to all types of vehicles. Regardless of whether the vehicle is equipped with a vehicle wireless communication device, they can avoid secondary hazards caused by traffic accidents.

[0083] Compared to relying solely on the vehicle's own camera, the technical solution provided in this application uses a public transportation camera. Because public transportation cameras have a wide field of view and a long observation distance, they can remotely identify accident warning triangles and notify the driver. At the same time, the vehicle's onboard camera and cameras in vehicles within 1km of the accident site also participate in the identification, avoiding blind spots for public transportation cameras. After the camera identifies the warning triangle, it can display images of the accident scene and provide voice prompts indicating available lanes, which helps the driver adjust their lane in advance. Furthermore, different warning methods can be used for passengers based on the calculated accident score or the urgency of the accident, increasing the safety and intelligence of vehicle operation.

[0084] Example 2

[0085] This application provides a vehicle safety warning method, such as... Figure 1 As shown, the method includes:

[0086] Step S01: Obtain accident identification type images through public acquisition equipment and / or vehicles around the accident site and / or the current vehicle; obtain images of the lane occupied by the accident; obtain the distance between the current vehicle and the accident site.

[0087] Specifically, by acquiring an accident identification type image, an accident lane occupancy image, and the distance between the current vehicle and the accident site, an accident identification score can be determined based on the accident identification type image, an available lane score can be determined based on the accident lane occupancy image, and a distance score can be determined based on the distance between the current vehicle and the accident site. An accident score can be calculated based on the accident identification score, the available lane score, and the distance score. A warning can be issued to the vehicle passengers based on the accident score to increase the safety and intelligence of vehicle driving.

[0088] Step S01 also includes:

[0089] Step S011: Determine whether the current vehicle is equipped with a vehicle wireless communication device;

[0090] If yes, then determine whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site; if no, then identify the accident identification type image based on the current vehicle.

[0091] The determination of whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site includes:

[0092] Determine whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site; if so, identify the accident type image using the public data collection equipment and / or vehicles around the accident site; if not, identify the accident type image using the current vehicle.

[0093] The process of identifying accident identification type images through public acquisition equipment and / or vehicles surrounding the accident site includes:

[0094] Determine whether the accident site is in a blind spot of public data collection equipment;

[0095] If yes, then the accident identification type image is identified by vehicles in the vicinity of the accident site; if not, then the accident identification type image is identified by public acquisition equipment.

[0096] Specifically, the vehicle wireless communication device can be a V2X box (V2X-BOX).

[0097] Specifically, such as Figure 2 As shown, different identification schemes can be adopted for different vehicles, mainly for the identification of accident sites or tripod images. When the vehicle is equipped with a V2X box, it can be identified using public cameras with V2X capabilities near the accident site or other vehicles with V2X capabilities within 1km of the accident site; otherwise, the vehicle's own camera can be used for identification.

[0098] When there are no public cameras installed around the accident site and no other vehicles are present, the accident identification type image is identified by the current vehicle.

[0099] When the accident site is far from the vehicle, the vehicle's built-in camera may not be able to detect the warning triangle at the accident site. In this case, the warning triangle can be identified by the nearest public transportation camera, and the current accident image can be transmitted to the vehicle. The driver can clearly see the available lanes at the accident site and take precautions to prevent secondary accidents. However, when the accident site is in the blind spot of a public camera (e.g., directly below a public camera), the system will search for vehicles within a 1km radius of the accident site to identify the warning triangle. Once identified, the accident image identified by vehicles within a 1km radius of the accident site will be transmitted back to the vehicle.

[0100] Understandably, regardless of whether a vehicle is equipped with a vehicle-mounted wireless communication device, secondary hazards caused by traffic accidents can be avoided. At the same time, the identification of accident type images by public collection equipment and / or vehicles around the accident site and / or the current vehicle increases the flexibility of accident type image recognition.

[0101] Step S012: Determine whether the current vehicle has detected the accident location alert device;

[0102] If yes, the system acquires the image of the accident location alert device through the current vehicle and sends the image of the accident location alert device recognized by the current vehicle to the score calculation module; if no, the system determines whether the current vehicle has recognized the accident location image.

[0103] The determination of whether the current vehicle has detected an image of the accident site includes:

[0104] Determine whether the current vehicle has recognized the image of the accident site;

[0105] If yes, the accident site image is obtained through the current vehicle, and the accident site image identified by the current vehicle is sent to the score calculation module; if no, the accident identification type image is identified through the current vehicle in a loop according to the first time threshold.

[0106] Specifically, the accident identification type image is identified by the current vehicle in a loop according to the first time threshold: for example, after an interval of 10 minutes, it is determined whether the current vehicle has identified the tripod at the accident site, and whether the current vehicle has identified the accident site image, or when the distance between the current vehicle and the accident site changes from 800 meters to 400 meters, the accident identification type image is identified by the current vehicle again.

[0107] The first time threshold is 10 minutes.

[0108] Understandably, identifying accident recognition type images by repeatedly scanning the current vehicle according to the first time threshold can more effectively increase the accuracy of accident recognition score calculation, while avoiding situations where public cameras are in blind spots.

[0109] Step S013, as follows Figure 2 As shown, determine whether the public data collection device has identified the accident location alert device;

[0110] If yes, the system acquires the accident site alert image through the public acquisition device and sends the accident site alert image identified by the public acquisition device to the score calculation module; if no, the system determines whether the public acquisition device has identified the accident site image.

[0111] The determination of whether the public acquisition equipment has identified the image of the accident site includes:

[0112] Determine whether the public data acquisition equipment has recognized the image of the accident site;

[0113] If yes, the accident site image is acquired through the public acquisition device, and the accident site image identified by the public acquisition device is sent to the score calculation module; if no, the accident identification type image is identified cyclically through the public acquisition device according to the first time threshold.

[0114] Specifically, the accident identification type image is identified by the public acquisition device in a cyclical manner according to the first time threshold: for example, after an interval of 10 minutes, it is determined whether the public acquisition device has identified the tripod at the accident site, and whether the public acquisition device has identified the accident site image, or when the distance between the current vehicle and the accident site changes from 2 kilometers to 1 kilometer, the accident identification type image is identified by the public acquisition device again.

[0115] Understandably, the accident identification type images are identified through public collection equipment in a loop according to the first time threshold. Since public transportation cameras have a wide field of view and a long observation distance, they can remotely identify the accident warning triangle and inform the driver. At the same time, the images of the accident site are obtained through public collection equipment, which helps the driver adjust the lane in advance and increases the safety of driving.

[0116] The process of identifying accident type images from vehicles surrounding the accident site includes:

[0117] Determine whether vehicles in the vicinity of the accident site have recognized the accident site warning device;

[0118] If yes, then obtain the accident site warning device image through vehicles around the accident site, and send the accident site warning device image recognized by the vehicles around the accident site to the score calculation module; if no, then determine whether the vehicles around the accident site have recognized the accident site image.

[0119] The determination of whether vehicles around the accident site can be identified in the accident site image includes:

[0120] Determine whether vehicles around the accident site are recognized in the accident site image;

[0121] If yes, then obtain images of the accident site through vehicles around the accident site, and send the accident site images identified by the vehicles around the accident site to the score calculation module; if no, then cyclically identify the accident identification type images through vehicles around the accident site according to the first time threshold.

[0122] Specifically, the accident identification type image is identified by repeatedly checking vehicles around the accident site according to the first time threshold: for example, after an interval of 10 minutes, it is determined whether vehicles around the accident site have identified the tripod at the accident site, and whether vehicles around the accident site have identified the accident site image, or when the distance between the current vehicle and the accident site changes from 3 kilometers to 2 kilometers, the accident identification type image is identified again by checking vehicles around the accident site.

[0123] Understandably, by cyclically identifying accident-related images through vehicles surrounding the accident site according to the first time threshold, the system avoids situations where public cameras are in blind spots. Once the camera of a vehicle surrounding the accident site identifies the warning device (tripod), it can display images of the accident scene and provide voice prompts indicating the available lanes, thereby increasing the intelligence of vehicle operation.

[0124] Step S02: Confirm the accident identification score based on the accident identification type image, confirm the available lane score based on the accident-occupied lane image, and confirm the distance score based on the distance between the current vehicle and the accident site.

[0125] Step S02 also includes:

[0126] Step S021: Confirm the accident identification score based on the accident identification type image and the relationship table between the accident identification type image and the corresponding identification score;

[0127] The available lane score is determined based on the image of the lane occupied by the accident and the table showing the relationship between the available lanes and the corresponding available lane scores.

[0128] The distance score is determined based on the current distance between the vehicle and the accident site, as well as the relationship table between the distance between the vehicle and the accident site and the corresponding distance score.

[0129] Specifically, the accident identification score is determined based on the accident identification type image and the relationship table between the accident identification type image and the corresponding identification score, as shown in Table 1:

[0130]

[0131] Table 1

[0132] The available lane scores are determined based on the accident-occupied lane images and the relationship table between the accident-available lanes and their corresponding available lane scores. Table 2 shows the relationship between the accident-available lanes and their corresponding available lane scores.

[0133]

[0134] Table 2

[0135] The distance score is determined based on the current distance between the vehicle and the accident site, as well as the relationship between the distance between the vehicle and the accident site and the corresponding distance score table, as shown in Table 3:

[0136]

[0137] Table 3

[0138] Meanwhile, the scores for each item will change dynamically according to the actual situation.

[0139] Here, the accident identification score is determined based on the accident identification type image, the available lane score is determined based on the accident-occupied lane image, and the distance score is determined based on the current distance between the vehicle and the accident site. Then, the accident score is calculated based on the accident identification score, the available lane score, and the distance score. Different warning methods are used for passengers based on the calculated accident score or the urgency of the accident, which increases the reliability of vehicle operation.

[0140] Step S03: Calculate the accident score based on the accident identification score, the available lane score, and the distance score.

[0141] Step S03 also includes:

[0142] Step S031: Obtain the accident identification score; obtain the available lane score; obtain the distance score;

[0143] The accident score is calculated using the formula: Accident Score = (Accident Recognition Score + Available Lane Score) * Distance Score.

[0144] Specifically, for example: when the current vehicle can recognize the tripod image, the current vehicle can recognize the accident site image, the public camera can recognize the tripod image, the public camera can recognize the accident site image, and surrounding vehicles can recognize the tripod image, when there are two available lanes, and when the current vehicle is within 1 kilometer of the accident site, the accident score is calculated as (2+2+2+1+2+3)*3.

[0145] Understandably, using different warning methods for passengers based on different accident scores increases the intelligence of vehicle operation.

[0146] Step S04: Issue a warning to the vehicle passengers based on the accident score;

[0147] Based on the accident score, warnings are issued to the vehicle passengers according to different levels.

[0148] Specifically, different warning methods are used for vehicle passengers based on the dynamically changing accident score.

[0149] Step S04 also includes:

[0150] Step S041: When the accident score is less than the first threshold, the accident location is marked on the vehicle navigation or an image of the accident scene is displayed on the vehicle display device.

[0151] When the accident score is between the first threshold and the second threshold, the vehicle passengers are given a voice prompt indicating the available lanes at the accident site according to the second time threshold interval;

[0152] When the accident score is greater than the second threshold, the switching frequency of the vehicle reading lights and ambient lights is adjusted.

[0153] When the accident score equals the third threshold, the warning for the vehicle passengers is stopped.

[0154] Specifically, such as Figure 3 As shown, when the accident score is less than 10 points, the accident location will be marked on the in-vehicle navigation system when the passenger is using it; when the passenger is not using the in-vehicle navigation system, an image of the accident scene will be displayed on the in-vehicle display device.

[0155] When the accident score is between 10 and 35, the vehicle passengers will be given a voice prompt at 30-second intervals indicating the available lanes at the accident site.

[0156] When the accident score is greater than 35 points, the switching frequency of the vehicle reading lights and ambient lights will be adjusted, that is, the vehicle reading lights and ambient lights will flash continuously to warn the vehicle passengers.

[0157] When the accident score is 0, the warning to the vehicle passengers will be stopped, and the voice, navigation, and lights will return to normal.

[0158] The first threshold is 10 points, the second threshold is 35 points, and the third threshold is 0 points. The second time threshold is 30 seconds.

[0159] Here, different warning methods are flexibly used according to the dynamic changes in accident scores. For example, the accident location is marked on the in-vehicle navigation, the available lanes at the accident location are given to the vehicle passengers via voice prompts, the vehicle reading lights and ambient lights are used to continuously flash to warn the vehicle passengers, and personalized design of the vehicle is added.

[0160] This application proposes a vehicle safety warning method, which involves acquiring an accident identification type image using public data acquisition equipment and / or vehicles near the accident site and / or the current vehicle; acquiring an image of the lane occupied by the accident; acquiring the distance between the current vehicle and the accident site; determining an accident identification score based on the accident identification type image; determining an available lane score based on the image of the lane occupied by the accident; determining a distance score based on the distance between the current vehicle and the accident site; calculating an accident score based on the accident identification score, the available lane score, and the distance score; and issuing a warning to the vehicle's passengers based on the accident score. This application's technical solution is applicable to all types of vehicles, regardless of whether the vehicle is equipped with a vehicle wireless communication device, and can help avoid secondary hazards caused by traffic accidents.

[0161] The vehicle safety warning method provided in this application embodiment can be improved and optimized in several ways without departing from the technical solution of this application, and these improvements and optimizations should also be considered within the scope of protection of this application.

[0162] The beneficial effects of the technical solutions provided in this application are:

[0163] The technical solutions provided in this application are applicable to all types of vehicles. Regardless of whether the vehicle is equipped with a vehicle wireless communication device, they can avoid secondary hazards caused by traffic accidents.

[0164] Compared to relying solely on the vehicle's own camera, the technical solution provided in this application uses a public transportation camera. Because public transportation cameras have a wide field of view and a long observation distance, they can remotely identify accident warning triangles and notify the driver. At the same time, the vehicle's onboard camera and cameras in vehicles within 1km of the accident site also participate in the identification, avoiding blind spots for public transportation cameras. After the camera identifies the warning triangle, it can display images of the accident scene and provide voice prompts indicating available lanes, which helps the driver adjust their lane in advance. Furthermore, different warning methods can be used for passengers based on the calculated accident score or the urgency of the accident, increasing the safety and intelligence of vehicle operation.

[0165] Example 3

[0166] This application provides a vehicle safety warning device, such as Figure 4 As shown, the device includes a detection module, an image recognition module, a distance calculation module, a score calculation module, an alarm module, and an image transmission module.

[0167] In this embodiment, the detection module is used to detect whether a traffic accident has occurred in front of the vehicle;

[0168] The image recognition module is used to acquire images of the accident type and the lane occupied by the accident through public acquisition equipment and / or vehicles around the accident site and / or the current vehicle;

[0169] The distance calculation module is used to obtain the distance between the current vehicle and the accident site;

[0170] The score calculation module is used to confirm the accident identification score based on the accident identification type image, confirm the available lane score based on the accident-occupied lane image, and confirm the distance score based on the distance between the current vehicle and the accident site; and to calculate the accident score based on the accident identification score, the available lane score, and the distance score.

[0171] The warning module is used to issue warnings to the vehicle passengers based on the accident score.

[0172] Furthermore, the image recognition module is used to determine whether the current vehicle is equipped with a vehicle wireless communication device;

[0173] If yes, then determine whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site; if no, then identify the accident identification type image based on the current vehicle.

[0174] The determination of whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site includes:

[0175] Determine whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site;

[0176] If yes, the accident identification type image is identified through public acquisition equipment and / or vehicles around the accident site; if not, the accident identification type image is identified through the current vehicle.

[0177] The process of identifying accident identification type images through public acquisition equipment and / or vehicles surrounding the accident site includes:

[0178] Determine whether the accident site is in a blind spot of public data collection equipment;

[0179] If yes, then the accident identification type image is identified by vehicles in the vicinity of the accident site; if not, then the accident identification type image is identified by public acquisition equipment.

[0180] Furthermore, the image recognition module is also used to determine whether the current vehicle has recognized the accident location alert device;

[0181] If yes, the system acquires the image of the accident location alert device through the current vehicle and sends the image of the accident location alert device recognized by the current vehicle to the score calculation module; if no, the system determines whether the current vehicle has recognized the accident location image.

[0182] The determination of whether the current vehicle has detected an image of the accident site includes:

[0183] Determine whether the current vehicle has recognized the image of the accident site;

[0184] If yes, the accident site image is obtained through the current vehicle, and the accident site image identified by the current vehicle is sent to the score calculation module; if no, the accident identification type image is identified through the current vehicle in a loop according to the first time threshold.

[0185] Furthermore, the image recognition module is also used to determine whether the public data collection device has recognized the accident site alert device;

[0186] If yes, the system acquires the accident site alert image through the public acquisition device and sends the accident site alert image identified by the public acquisition device to the score calculation module; if no, the system determines whether the public acquisition device has identified the accident site image.

[0187] The determination of whether the public acquisition equipment has identified the image of the accident site includes:

[0188] Determine whether the public data acquisition equipment has recognized the image of the accident site;

[0189] If yes, the accident site image is acquired through the public acquisition device, and the accident site image identified by the public acquisition device is sent to the score calculation module; if no, the accident identification type image is identified cyclically through the public acquisition device according to the first time threshold.

[0190] The process of identifying accident type images from vehicles surrounding the accident site includes:

[0191] Determine whether vehicles in the vicinity of the accident site have recognized the accident site warning device;

[0192] If yes, then obtain the accident site warning device image through vehicles around the accident site, and send the accident site warning device image recognized by the vehicles around the accident site to the score calculation module; if no, then determine whether the vehicles around the accident site have recognized the accident site image.

[0193] The determination of whether vehicles around the accident site can be identified in the accident site image includes:

[0194] Determine whether vehicles around the accident site are recognized in the accident site image;

[0195] If yes, then obtain images of the accident site through vehicles around the accident site, and send the accident site images identified by the vehicles around the accident site to the score calculation module; if no, then cyclically identify the accident identification type images through vehicles around the accident site according to the first time threshold.

[0196] Furthermore, the score calculation module is used to determine the accident identification score based on the accident identification type image and the relationship table between the accident identification type image and the corresponding identification score;

[0197] The available lane score is determined based on the image of the lane occupied by the accident and the table showing the relationship between the available lanes and the corresponding available lane scores.

[0198] The distance score is determined based on the current distance between the vehicle and the accident site, as well as the relationship table between the distance between the vehicle and the accident site and the corresponding distance score.

[0199] Furthermore, the score calculation module is used to obtain the accident recognition score; obtain the available lane score; and obtain the distance score.

[0200] The accident score is calculated using the formula: Accident Score = (Accident Recognition Score + Available Lane Score) * Distance Score.

[0201] Furthermore, the warning module is also used to issue warnings to the vehicle passengers according to different levels based on the accident score.

[0202] Furthermore, the warning module is also used to mark the accident location on the vehicle navigation system or display an image of the accident scene on the vehicle display device when the accident score is less than the first threshold.

[0203] When the accident score is between the first threshold and the second threshold, the vehicle passengers are given a voice prompt indicating the available lanes at the accident site according to the second time threshold interval;

[0204] When the accident score is greater than the second threshold, the switching frequency of the vehicle reading lights and ambient lights is adjusted.

[0205] When the accident score equals the third threshold, the warning for the vehicle passengers is stopped.

[0206] Furthermore, the image transmission module is used to transmit accident scene images to the in-vehicle display device so that the in-vehicle display device can display the accident scene images to passengers.

[0207] The beneficial effects of the technical solutions provided in this application are:

[0208] The technical solutions provided in this application are applicable to all types of vehicles. Regardless of whether the vehicle is equipped with a vehicle wireless communication device, they can avoid secondary hazards caused by traffic accidents.

[0209] Compared to relying solely on the vehicle's own camera, the technical solution provided in this application uses a public transportation camera. Because public transportation cameras have a wide field of view and a long observation distance, they can remotely identify accident warning devices and notify the driver. At the same time, the vehicle's onboard camera and cameras in vehicles within 1km of the accident site also participate in the identification, avoiding blind spots for public transportation cameras. After the camera identifies the tripod, it can display images of the accident scene and provide voice prompts indicating available lanes, which helps the driver adjust their lane in advance. Furthermore, different warning methods can be used for passengers based on the calculated accident score or the urgency of the accident, increasing the safety and intelligence of vehicle operation.

[0210] Example 4

[0211] This application provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it can perform the following vehicle safety warning method:

[0212] Acquire images of the accident type using public data collection equipment and / or vehicles surrounding the accident site and / or current vehicles; acquire images of the lane occupied by the accident; acquire the distance between the current vehicle and the accident site;

[0213] The accident identification score is determined based on the accident identification type image, the available lane score is determined based on the accident-occupied lane image, and the distance score is determined based on the distance between the current vehicle and the accident site.

[0214] The accident score is calculated based on the accident identification score, the available lane score, and the distance score;

[0215] The vehicle passengers are given a warning based on the accident score.

[0216] The beneficial effects of the technical solutions provided in this application are:

[0217] The technical solutions provided in this application are applicable to all types of vehicles. Regardless of whether the vehicle is equipped with a vehicle wireless communication device, they can avoid secondary hazards caused by traffic accidents.

[0218] Compared to relying solely on the vehicle's own camera, the technical solution provided in this application uses a public transportation camera. Because public transportation cameras have a wide field of view and a long observation distance, they can remotely identify accident warning triangles and notify the driver. At the same time, the vehicle's onboard camera and cameras in vehicles within 1km of the accident site also participate in the identification, avoiding blind spots for public transportation cameras. After the camera identifies the warning triangle, it can display images of the accident scene and provide voice prompts indicating available lanes, which helps the driver adjust their lane in advance. Furthermore, different warning methods can be used for passengers based on the calculated accident score or the urgency of the accident, increasing the safety and intelligence of vehicle operation.

[0219] Example 5

[0220] This application provides a computer storage medium, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it performs the following steps:

[0221] Acquire images of the accident type using public data collection equipment and / or vehicles surrounding the accident site and / or current vehicles; acquire images of the lane occupied by the accident; acquire the distance between the current vehicle and the accident site;

[0222] The accident identification score is determined based on the accident identification type image, the available lane score is determined based on the accident-occupied lane image, and the distance score is determined based on the distance between the current vehicle and the accident site.

[0223] The accident score is calculated based on the accident identification score, the available lane score, and the distance score;

[0224] The vehicle passengers are given a warning based on the accident score.

[0225] Furthermore, the acquisition of accident identification type images through public acquisition equipment and / or vehicles surrounding the accident site and / or current vehicles includes:

[0226] Determine whether the current vehicle is equipped with a vehicle wireless communication device;

[0227] If yes, then determine whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site; if no, then identify the accident identification type image based on the current vehicle.

[0228] The determination of whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site includes:

[0229] Determine whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site;

[0230] If yes, the accident identification type image is identified through public acquisition equipment and / or vehicles around the accident site; if not, the accident identification type image is identified through the current vehicle.

[0231] The process of identifying accident identification type images through public acquisition equipment and / or vehicles surrounding the accident site includes:

[0232] Determine whether the accident site is in a blind spot of public data collection equipment;

[0233] If yes, then the accident identification type image is identified by vehicles in the vicinity of the accident site; if not, then the accident identification type image is identified by public acquisition equipment.

[0234] Furthermore, the step of identifying the accident recognition type image through the current vehicle includes:

[0235] Determine whether the current vehicle has detected the accident location alert device;

[0236] If yes, the system acquires the image of the accident location alert device through the current vehicle and sends the image of the accident location alert device recognized by the current vehicle to the score calculation module; if no, the system determines whether the current vehicle has recognized the accident location image.

[0237] The determination of whether the current vehicle has detected an image of the accident site includes:

[0238] Determine whether the current vehicle has recognized the image of the accident site;

[0239] If yes, the accident site image is obtained through the current vehicle, and the accident site image identified by the current vehicle is sent to the score calculation module; if no, the accident identification type image is identified through the current vehicle in a loop according to the first time threshold.

[0240] Furthermore, the identification of accident identification type images through public acquisition equipment includes:

[0241] Determine whether the public data collection equipment has detected the accident site alert device;

[0242] If yes, the system acquires the accident site alert image through the public acquisition device and sends the accident site alert image identified by the public acquisition device to the score calculation module; if no, the system determines whether the public acquisition device has identified the accident site image.

[0243] The determination of whether the public acquisition equipment has identified the image of the accident site includes:

[0244] Determine whether the public data acquisition equipment has recognized the image of the accident site;

[0245] If yes, the accident site image is acquired through the public acquisition device, and the accident site image identified by the public acquisition device is sent to the score calculation module; if no, the accident identification type image is identified cyclically through the public acquisition device according to the first time threshold.

[0246] The process of identifying accident type images from vehicles surrounding the accident site includes:

[0247] Determine whether vehicles in the vicinity of the accident site have recognized the accident site warning device;

[0248] If yes, then obtain the accident site warning device image through vehicles around the accident site, and send the accident site warning device image recognized by the vehicles around the accident site to the score calculation module; if no, then determine whether the vehicles around the accident site have recognized the accident site image.

[0249] The determination of whether vehicles around the accident site can be identified in the accident site image includes:

[0250] Determine whether vehicles around the accident site are recognized in the accident site image;

[0251] If yes, then obtain images of the accident site through vehicles around the accident site, and send the accident site images identified by the vehicles around the accident site to the score calculation module; if no, then cyclically identify the accident identification type images through vehicles around the accident site according to the first time threshold.

[0252] Further, the steps of confirming the accident recognition score based on the accident recognition type image, confirming the available lane score based on the accident-occupied lane image, and confirming the distance score based on the current vehicle's distance from the accident site include:

[0253] The accident identification score is determined based on the accident identification type image and the relationship table between the accident identification type image and the corresponding identification score.

[0254] The available lane score is determined based on the image of the lane occupied by the accident and the table showing the relationship between the available lanes and the corresponding available lane scores.

[0255] The distance score is determined based on the current distance between the vehicle and the accident site, as well as the relationship table between the distance between the vehicle and the accident site and the corresponding distance score.

[0256] Further, the calculation of the accident score based on the accident identification score, the available lane score, and the distance score includes:

[0257] Obtain accident recognition score; obtain available lane score; obtain distance score;

[0258] Accident score is calculated using the formula: Accident Score = (Accident Recognition Score + Available Lane Score) * Distance Score.

[0259] Furthermore, the step of issuing a warning to the vehicle passengers based on the accident score includes:

[0260] Based on the accident score, warnings are issued to the vehicle passengers according to different levels.

[0261] Furthermore, the step of issuing warnings to vehicle passengers according to different levels based on the accident score includes:

[0262] When the accident score is less than the first threshold, the accident location is marked on the vehicle navigation system or an image of the accident scene is displayed on the vehicle display device.

[0263] When the accident score is between the first threshold and the second threshold, the vehicle passengers are given a voice prompt indicating the available lanes at the accident site according to the second time threshold interval;

[0264] When the accident score is greater than the second threshold, the switching frequency of the vehicle reading lights and ambient lights is adjusted.

[0265] When the accident score equals the third threshold, the warning for the vehicle passengers is stopped.

[0266] Compared to relying solely on the vehicle's own camera, the technical solution provided in this application uses a public transportation camera. Because public transportation cameras have a wide field of view and a long observation distance, they can remotely identify accident warning triangles and notify the driver. At the same time, the vehicle's onboard camera and cameras in vehicles within 1km of the accident site also participate in the identification, avoiding blind spots for public transportation cameras. After the camera identifies the warning triangle, it can display images of the accident scene and provide voice prompts indicating available lanes, which helps the driver adjust their lane in advance. Furthermore, different warning methods can be used for passengers based on the calculated accident score or the urgency of the accident, increasing the safety and intelligence of vehicle operation.

[0267] Figure 5 This is an exemplary system provided as Embodiment 5 of the present application, which can be used to implement the various embodiments described in this application;

[0268] like Figure 5 As shown, in some embodiments, the system can function as any of the aforementioned devices for vehicle safety warning in each of the various embodiments. In some embodiments, the system may include one or more computer-readable media (e.g., system memory or NVM / storage device) having a result and one or more processors (e.g., one or more processors) coupled to the one or more computer-readable media and configured to execute the result to implement the module thereby performing the actions described in this application.

[0269] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program using related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0270] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0271] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A vehicle safety early warning method, characterized in that, The method includes: Acquire an accident identification type image, wherein the accident identification type image includes one or more of the following: current vehicle identifying a tripod, current vehicle identifying an accident site, public acquisition equipment identifying a tripod, public acquisition equipment identifying an accident site, surrounding vehicles identifying a tripod, and surrounding vehicles identifying an accident site. Obtain an image of the lane occupied by the accident; obtain the distance between the current vehicle and the accident site; An accident identification score is determined based on the accident identification type image, an available lane score is determined based on the accident-occupied lane image, and a distance score is determined based on the distance between the current vehicle and the accident site. The accident score is calculated based on the accident identification score, the available lane score, and the distance score. Warnings are issued to vehicle passengers based on the accident score. The acquisition of the accident identification type image includes: Determine whether the current vehicle is equipped with a vehicle wireless communication device; If yes, then determine whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site; if no, then identify the accident identification type image based on the current vehicle. The determination of whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site includes: Determine whether public data collection equipment is installed around the accident site and / or whether other vehicles are present around the accident site; If yes, the accident identification type image is identified through public acquisition equipment and / or vehicles around the accident site; if not, the accident identification type image is identified through the current vehicle. The process of identifying accident identification type images through public acquisition equipment and / or vehicles surrounding the accident site includes: Determine whether the accident site is in a blind spot of public data collection equipment; If yes, then the accident identification type image is identified by vehicles in the vicinity of the accident site; if not, then the accident identification type image is identified by public acquisition equipment.

2. The vehicle safety early warning method according to claim 1, characterized in that, The process of identifying the accident recognition type image using the current vehicle includes: Determine whether the current vehicle has detected the accident location alert device; If yes, the system acquires the image of the accident location alert device through the current vehicle and sends the image of the accident location alert device recognized by the current vehicle to the score calculation module; if no, the system determines whether the current vehicle has recognized the accident location image. The determination of whether the current vehicle has detected an image of the accident site includes: Determine whether the current vehicle has recognized the image of the accident site; If yes, the accident site image is obtained through the current vehicle, and the accident site image identified by the current vehicle is sent to the score calculation module; if no, the accident identification type image is identified through the current vehicle in a loop according to the first time threshold.

3. The vehicle safety early warning method according to claim 1, characterized in that, The process of identifying accident identification type images through public acquisition equipment includes: Determine whether the public data collection equipment has detected the accident site alert device; If yes, the system acquires the accident site alert image through the public acquisition device and sends the accident site alert image identified by the public acquisition device to the score calculation module; if no, the system determines whether the public acquisition device has identified the accident site image. The determination of whether the public acquisition equipment has identified the image of the accident site includes: Determine whether the public data acquisition equipment has recognized the image of the accident site; If yes, the accident site image is acquired through the public acquisition device, and the accident site image identified by the public acquisition device is sent to the score calculation module; if no, the accident identification type image is identified cyclically through the public acquisition device according to the first time threshold. The process of identifying accident type images from vehicles surrounding the accident site includes: Determine whether vehicles in the vicinity of the accident site have recognized the accident site warning device; If yes, then obtain the accident site warning device image through vehicles around the accident site, and send the accident site warning device image recognized by the vehicles around the accident site to the score calculation module; if no, then determine whether the vehicles around the accident site have recognized the accident site image. The determination of whether vehicles around the accident site can be identified in the accident site image includes: Determine whether vehicles around the accident site are recognized in the accident site image; If yes, then obtain images of the accident site through vehicles around the accident site, and send the accident site images identified by the vehicles around the accident site to the score calculation module; if no, then cyclically identify the accident identification type images through vehicles around the accident site according to the first time threshold.

4. The vehicle safety early warning method according to claim 1, characterized in that, The steps of determining an accident recognition score based on the accident recognition type image, determining an available lane score based on the accident-occupied lane image, and determining a distance score based on the current vehicle's distance from the accident site include: The accident identification score is determined based on the accident identification type image and the relationship table between the accident identification type image and the corresponding identification score. The available lane score is determined based on the image of the lane occupied by the accident and the relationship table between the available lanes after the accident and the corresponding available lane scores. The distance score is determined based on the current distance between the vehicle and the accident site, as well as the relationship between the distance between the vehicle and the accident site and the corresponding distance score table.

5. The vehicle safety early warning method according to claim 1, characterized in that, The calculation of the accident score based on the accident identification score, the available lane score, and the distance score includes: Obtain accident recognition score; obtain available lane score; obtain distance score; The accident score is calculated using the formula: Accident Score = (Accident Recognition Score + Available Lane Score) * Distance Score.

6. The vehicle safety early warning method according to claim 1, characterized in that, The step of issuing a warning to the vehicle passengers based on the accident score includes: Based on the accident score, warnings are issued to the vehicle passengers according to different levels.

7. The vehicle safety early warning method according to claim 6, characterized in that, The step of issuing warnings to vehicle passengers according to different levels based on the accident score includes: When the accident score is less than the first threshold, the accident location is marked on the vehicle navigation system or an image of the accident scene is displayed on the vehicle display device. When the accident score is between the first threshold and the second threshold, the vehicle passengers are given a voice prompt indicating the available lanes at the accident site according to the second time threshold interval; When the accident score is greater than the second threshold, the switching frequency of the vehicle reading lights and ambient lights is adjusted. When the accident score equals the third threshold, the warning for the vehicle passengers is stopped.

8. A vehicle safety warning device for implementing the method as described in claim 1, characterized in that, The device includes: The image recognition module is used to acquire images of accident identification types and images of lane occupancy due to accidents. The distance calculation module is used to obtain the distance between the current vehicle and the accident site; The score calculation module is used to determine an accident recognition score based on the accident recognition type image, determine an available lane score based on the accident-occupied lane image, and determine a distance score based on the distance between the current vehicle and the accident site; and to calculate an accident score based on the accident recognition score, the available lane score, and the distance score. The warning module is used to issue warnings to vehicle passengers based on the accident score.

9. A computer storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the vehicle safety warning method as described in any one of claims 1 to 7.

Images