Method, system and equipment for preventing vehicle rear-end collision and storage medium
By calculating and using lane correlation coefficients, driver status coefficients, vehicle status coefficients and collision prediction coefficients, rear-end collision coefficients are calculated and warning information is sent, the rear-end collision accident problem caused by the incoming vehicles being unable to obtain rear-end vehicle information is solved, and early warning and reduction of potential rear-end collision accidents are achieved.
Patent Information
- Application Number
- CN202411601186.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-11
- Publication Date
- 2025-03-07
AI Technical Summary
In the prior art, the front vehicle cannot obtain information about the rear vehicle. When the rear vehicle experiences AEB failure or braking failure, the front vehicle cannot take evasive measures, resulting in a rear-end collision.
By obtaining the lane correlation coefficient, driver status coefficient, vehicle status coefficient and collision prediction coefficient of the target vehicle, the rear-end collision coefficient is calculated, and early warning information is sent based on the coefficient to avoid rear-end collision.
The early warning of potential rear-end collisions has been achieved, the occurrence of rear-end collisions has been reduced, and the problem that vehicles ahead cannot obtain rear-end vehicle information.
Smart Images
Figure CN119580483A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of vehicle warning technology, and in particular to a method, system, device and computer-readable storage medium for preventing vehicle rear-end collisions. Background Art
[0002] With the continuous changes in technology, cars have become an indispensable means of transportation in people's lives. Cars can be seen everywhere in daily traffic, but rear-end collisions are a relatively common type of accident in daily traffic. The main form of accident is a collision between the front of the rear car and the rear of the front car. At present, some vehicles are equipped with functions such as AEB, which reduces the possibility of rear-end collision with the vehicle in front. However, the vehicle in front cannot obtain information about the vehicle behind. When the AEB failure or brake failure of the vehicle behind occurs, the vehicle in front cannot take evasive measures, resulting in a rear-end collision. Summary of the invention
[0003] The present application provides a method, system, device and computer-readable storage medium for preventing vehicle rear-end collisions, which can solve the technical problems in the prior art that the front vehicle cannot obtain the information of the rear vehicle, and when the rear vehicle has an AEB failure or a brake failure, the front vehicle cannot take evasive measures, thereby causing a rear-end collision accident.
[0004] In a first aspect, an embodiment of the present application provides a method for preventing a vehicle from rear-ending a collision, the method for preventing a vehicle from rear-ending a collision comprising:
[0005] Obtaining a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient, and a collision prediction coefficient of the target vehicle;
[0006] Calculating a rear-end collision coefficient according to a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient, and a collision prediction coefficient of the target vehicle;
[0007] According to the rear-end collision coefficient, a warning message is sent to avoid a rear-end collision.
[0008] In combination with the first aspect, in one implementation, the rear-end collision coefficient is calculated according to the lane correlation coefficient, the driver state coefficient, the vehicle state coefficient and the collision prediction coefficient of the target vehicle, including:
[0009] Get the preset formula P=(Z+T+C)*D;
[0010] Based on the preset formula P=(Z+T+C)*D, the lane correlation coefficient of the target vehicle, the driver state coefficient, the vehicle state coefficient and the collision prediction coefficient, the rear-end collision coefficient is calculated, wherein P is the rear-end collision coefficient, Z is the vehicle state coefficient, T is the driver state coefficient, C is the collision prediction coefficient, and D is the lane correlation coefficient.
[0011] In combination with the first aspect, in one implementation, sending warning information according to the rear-end collision coefficient to avoid rear-end collision includes:
[0012] comparing the rear-end collision coefficient with a preset rear-end collision coefficient;
[0013] If the rear-end collision coefficient is less than the preset rear-end collision coefficient, sending a first rear-end collision warning message to avoid a rear-end collision;
[0014] If the rear-end collision coefficient is greater than or equal to the preset rear-end collision coefficient, a rear-end collision warning message is sent according to the preset rear-end collision coefficient range in which the rear-end collision coefficient is located to avoid a rear-end collision, wherein the rear-end collision warning message includes second rear-end collision warning information and third rear-end collision warning information.
[0015] In combination with the first aspect, in one implementation, if the rear-end collision coefficient is greater than or equal to the preset rear-end collision coefficient, the method further includes:
[0016] Calculate the collision mass multiplier and vehicle model difference multiplier;
[0017] Calculating a rear-end collision hazard coefficient according to the collision mass multiplier and the vehicle type difference multiplier;
[0018] Based on the rear-end collision hazard coefficient, rear-end collision hazard warning information and rear-end collision warning information are sent to avoid rear-end collision.
[0019] In combination with the first aspect, in one implementation, obtaining the collision mass multiplier and the vehicle type difference multiplier includes:
[0020] Obtain target vehicle mass and target vehicle type;
[0021] Calculating the collision mass multiplier according to the target vehicle mass and the preset mass;
[0022] The vehicle type difference ratio is calculated according to the vehicle type and preset structural parameters.
[0023] In combination with the first aspect, in one implementation, after sending the rear-end collision hazard warning information and the rear-end collision warning information, the method further includes:
[0024] Determine whether the vehicle status has changed within a preset time period;
[0025] If it is determined that the vehicle state has not changed within the preset time period, the speed and / or direction of the vehicle is controlled to avoid a rear-end collision.
[0026] In combination with the first aspect, in one implementation, the acquiring of the lane correlation coefficient, the driver state coefficient, the vehicle state coefficient, and the collision prediction coefficient of the target vehicle includes:
[0027] Receive lane information, driver status information, vehicle status information, vehicle distance, relative speed and relative acceleration sent by the target vehicle;
[0028] According to the lane information and the preset lane coefficient table, obtaining the lane correlation coefficient of the target vehicle;
[0029] According to the driver state information and a preset driver state coefficient table, obtaining the driver state coefficient of the target vehicle, wherein the driver state information includes fatigue level, heartbeat and breathing;
[0030] According to the vehicle state information and a preset vehicle state coefficient table, the vehicle state coefficient of the target vehicle is obtained, wherein the vehicle state information includes vehicle braking, acceleration and steering codes;
[0031] A collision prediction coefficient of the target vehicle is determined according to the vehicle distance, relative speed and relative acceleration.
[0032] In a second aspect, an embodiment of the present application provides a system for preventing a vehicle from rear-end collision, the system for preventing a vehicle from rear-end collision comprising:
[0033] An acquisition module, used to acquire a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient, and a collision prediction coefficient of a target vehicle;
[0034] A calculation module, used to calculate a rear-end collision coefficient according to a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient and a collision prediction coefficient of the target vehicle;
[0035] The sending module is used to send warning information according to the rear-end collision coefficient to avoid rear-end collision.
[0036] In a third aspect, an embodiment of the present application provides a device for preventing vehicle rear-end collisions, the device for preventing vehicle rear-end collisions comprising a processor, a memory, and a program for preventing vehicle rear-end collisions stored in the memory and executable by the processor, wherein when the program for preventing vehicle rear-end collisions is executed by the processor, the steps of the method for preventing vehicle rear-end collisions as described above are implemented.
[0037] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a program for preventing vehicle rear-end collisions is stored. When the program for preventing vehicle rear-end collisions is executed by a processor, the steps of the method for preventing vehicle rear-end collisions as described above are implemented.
[0038] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:
[0039] By obtaining the lane correlation coefficient, driver state coefficient, vehicle state coefficient and collision prediction coefficient of the target vehicle; calculating the rear-end collision coefficient according to the lane correlation coefficient, driver state coefficient, vehicle state coefficient and collision prediction coefficient of the target vehicle; sending a warning message according to the rear-end collision coefficient to avoid a rear-end collision, the technical problem in the related technology that the front vehicle cannot obtain the rear vehicle information, and when the rear vehicle has an AEB failure or a brake failure, the front vehicle cannot take evasive measures, thereby causing a rear-end collision accident, is solved, thereby achieving early warning of potential rear-end collision accidents and reducing the occurrence of rear-end collision accidents. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] Figure 1 A schematic flow chart of a first embodiment of a method for preventing rear-end collision of vehicles according to the present application;
[0041] Figure 2 A schematic flow chart of a second embodiment of a method for preventing rear-end collision of a vehicle according to the present application;
[0042] Figure 3 A schematic diagram of functional modules of an embodiment of a system for preventing rear-end collision of vehicles according to the present application;
[0043] Figure 4 This is a schematic diagram of the hardware structure of the device for preventing vehicle rear-end collision involved in the embodiment of the present application. DETAILED DESCRIPTION
[0044] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0045] First, some technical terms in the present application are explained to facilitate those skilled in the art to understand the present application.
[0046] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.
[0047] In a first aspect, an embodiment of the present application provides a method for preventing vehicle rear-end collisions.
[0048] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for preventing rear-end collision of vehicles in this application. Figure 1 As shown, methods for preventing rear-end collisions include:
[0049] Step S10: Obtaining a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient, and a collision prediction coefficient of the target vehicle;
[0050] Exemplarily, a vehicle is detected behind, and the vehicle behind is taken as a target vehicle, and the lane correlation coefficient, driver state coefficient, vehicle state coefficient, and collision prediction coefficient of the target vehicle are obtained. For example, the lane correlation coefficient, driver state coefficient, vehicle state coefficient, and collision prediction coefficient sent by the target vehicle are obtained.
[0051] Specifically, the method of obtaining the lane correlation coefficient, driver state coefficient, vehicle state coefficient and collision prediction coefficient of the target vehicle includes: receiving lane information, driver state information, vehicle state information, vehicle distance, relative speed and relative acceleration sent by the target vehicle; obtaining the lane correlation coefficient of the target vehicle according to the lane information and a preset lane coefficient table; obtaining the driver state coefficient of the target vehicle according to the driver state information and a preset driver state coefficient table, wherein the driver state information includes fatigue level, heartbeat and breathing; obtaining the vehicle state coefficient of the target vehicle according to the vehicle state information and a preset vehicle state coefficient table, wherein the vehicle state information includes vehicle braking, acceleration and steering codes; determining the collision prediction coefficient of the target vehicle according to the vehicle distance, relative speed and relative acceleration.
[0052] Exemplarily, a vehicle is detected to appear at the rear, and the vehicle at the rear is taken as the target vehicle. Lane information, driver status information, vehicle status information, vehicle distance, relative speed and relative acceleration sent by the target vehicle are received, wherein the lane information is whether the target vehicle is currently in the same lane as the target vehicle, and the number of lanes adjacent to the target vehicle. According to the lane information and the preset lane coefficient table, the lane correlation coefficient of the target vehicle is obtained. For example, when the target vehicle and the vehicle are in the same lane, the lane correlation coefficient obtained in the preset lane coefficient table is 1; when the target vehicle and the vehicle are in adjacent lanes, the lane correlation coefficient obtained in the preset lane coefficient table is 0.8; when there is one lane between the target vehicle and the vehicle, the lane correlation coefficient obtained in the preset lane coefficient table is 0.6; when there are two lanes between the target vehicle and the vehicle, the lane correlation coefficient obtained in the preset lane coefficient table is 0.4; when there are three lanes or more between the target vehicle and the vehicle, the lane correlation coefficient obtained in the preset lane coefficient table is 0.2.
[0053] The driver status information sent by the target vehicle is received. The driver status information obtains the driver's fatigue level, heartbeat, breathing and other status information through image recognition technology or pre-installed detection equipment. Based on the driver status information, the driver status information is uniformly rated and coded according to the possibility of causing the vehicle to lose control, and a vehicle status coefficient table is generated. The vehicle status coefficient table divides the driver status into six levels: A, B, C, D, E, and F; among which the A level is that the driver is in a coma, sleep and other states, and completely loses control of the vehicle; the F level is that the driver is full of energy and in good condition. When the driver status is A, the driver status coefficient in the preset vehicle status coefficient table is 1; when the driver status is B, the driver status coefficient in the preset vehicle status coefficient table is 0.8; when the driver status is C, the driver status coefficient in the preset vehicle status coefficient table is 0.6; when the driver status is D, the driver status coefficient in the preset vehicle status coefficient table is 0.4; when the driver status is E, the driver status coefficient in the preset vehicle status coefficient table is 0.2; when the driver status is F, the driver status coefficient in the preset vehicle status coefficient table is 0.
[0054] Receive vehicle status information sent by the target vehicle, and obtain the braking, acceleration, steering, etc. sent by the target vehicle that may cause the vehicle speed, driving direction to be out of control, difficult to control, and other faults that may cause rear-end collisions. And rate and code the faults according to the possibility of causing rear-end collisions, and divide the fault levels into six levels: A, B, C, D, E, and F. Generate a driver status coefficient table, in which the possibility of causing rear-end collisions decreases from A to F. Among them, A-level faults refer to faults that make the vehicle speed or driving direction uncontrollable. F-level means that the vehicle is in good condition and there is no fault. The corresponding driver state coefficient of a level A fault in the preset driver state coefficient table is 1; the corresponding fault value of a level B fault in the preset driver state coefficient table is 0.8; the corresponding fault value of a level C fault in the preset driver state coefficient table is 0.6; the corresponding fault value of a level D fault in the preset driver state coefficient table is 0.4; the corresponding fault value of an level E fault in the preset driver state coefficient table is 0.2; the corresponding fault value of a level F fault in the preset driver state coefficient table is 0.
[0055] By receiving the distance, relative speed, and relative acceleration between the target vehicle and the vehicle, it is possible to calculate whether the two vehicles will rear-end each other while keeping the current state unchanged. If a rear-end collision occurs, the collision prediction coefficient is 1; if not, the collision prediction coefficient is 0.
[0056] Step S20: Calculating a rear-end collision coefficient according to the lane correlation coefficient, the driver state coefficient, the vehicle state coefficient and the collision prediction coefficient of the target vehicle;
[0057] Exemplarily, a preset formula P=(Z+T+C)*D is obtained; based on the preset formula P=(Z+T+C)*D, the lane correlation coefficient of the target vehicle, the driver state coefficient, the vehicle state coefficient and the collision prediction coefficient, the rear-end collision coefficient is calculated, wherein P is the rear-end collision coefficient, Z is the vehicle state coefficient, T is the driver state coefficient, C is the collision prediction coefficient, and D is the lane correlation coefficient.
[0058] Step S30: Sending a warning message according to the rear-end collision coefficient to avoid a rear-end collision.
[0059] Exemplarily, after obtaining the rear-end collision coefficient, the range of the rear-end collision coefficient is determined, and a corresponding warning message is sent. The warning message includes one or more of pictures, sounds, videos, and lights. The driver is prompted by the warning message to avoid a rear-end collision.
[0060] Specifically, sending warning information according to the rear-end collision coefficient to avoid a rear-end collision includes: comparing the rear-end collision coefficient with a preset rear-end collision coefficient; if the rear-end collision coefficient is less than the preset rear-end collision coefficient, sending first rear-end collision warning information to avoid a rear-end collision; if the rear-end collision coefficient is greater than or equal to the preset rear-end collision coefficient, sending rear-end collision warning information according to the preset rear-end collision coefficient range in which the rear-end collision coefficient is located to avoid a rear-end collision, wherein the rear-end collision warning information includes second rear-end collision warning information and third rear-end collision warning information.
[0061] Exemplarily, the rear-end collision coefficient is compared with the preset rear-end collision coefficient. If the rear-end collision coefficient is less than the preset rear-end collision coefficient, the first rear-end collision warning information is sent to avoid the rear-end collision; if the rear-end collision coefficient is greater than or equal to the preset rear-end collision coefficient, the rear-end collision warning information is sent according to the preset rear-end collision coefficient range in which the rear-end collision coefficient is located to avoid the rear-end collision, wherein the rear-end collision warning information includes the second rear-end collision warning information and the third rear-end collision warning information. After the positional relationship between the vehicle and the nearby vehicles is established, it is displayed on the instrument in each lane on the map in combination with the map with clear and clear icons. According to the size of the rear-end collision coefficient, the rear-end collision risk of the nearby vehicles is divided into 1-4, 4 levels from small to large, and the icons representing the vehicles are displayed in different colors. For example: the level 1 risk icon is displayed in gray, the level 2 is displayed in yellow, the level 3 is displayed in orange, and the level 4 is displayed in red. According to the size of the collision hazard coefficient, the collision hazard degree of the nearby vehicles is divided into 1-4, 4 levels from small to large. The greater the degree of hazard, the larger the icon is displayed, and the color of the collision risk is matched to remind the driver.
[0062] In the present embodiment, by obtaining the lane correlation coefficient, driver state coefficient, vehicle state coefficient and collision prediction coefficient of the target vehicle; the rear-end collision coefficient is calculated according to the lane correlation coefficient, driver state coefficient, vehicle state coefficient and collision prediction coefficient of the target vehicle; according to the rear-end collision coefficient, a warning message is sent to avoid a rear-end collision, which solves the technical problem in the related technology that the front vehicle cannot obtain the rear vehicle information, and when the rear vehicle has an AEB failure or a brake failure, the front vehicle cannot take avoidance measures, thereby causing a rear-end collision accident, thereby achieving early warning of potential rear-end collision accidents and reducing the occurrence of rear-end collision accidents.
[0063] In one embodiment, referring to Figure 2 , Figure 2 This is a flow chart of the second embodiment of the method for preventing rear-end collision of vehicles in this application. Figure 2 As shown, methods for preventing rear-end collisions include:
[0064] Step S21: Calculate the collision mass multiplier and the vehicle model difference multiplier;
[0065] Demonstratively, the mass and type sent by the target vehicle are obtained, and the collision mass multiplier and the vehicle difference multiplier are obtained through the obtained target vehicle mass and target vehicle type.
[0066] Specifically, a target vehicle mass and a target vehicle type are obtained; a collision mass multiplier is calculated according to the target vehicle mass and the preset mass; and a vehicle type difference multiplier is calculated according to the vehicle type and the preset structural parameters.
[0067] Exemplarily, the target vehicle mass and the preset mass are obtained, the preset mass is the mass of the vehicle, the target vehicle mass is set to the mass of the vehicle, and the collision mass ratio is calculated. The target vehicle type and the preset structural parameters are obtained, wherein the structural characteristic parameters of the target vehicle are obtained by the obtained target vehicle type. For example, the structural characteristic parameter of a sedan is 1, the structural characteristic parameter of an SUV or MPV is 1.2; the structural characteristic parameter of a medium and large bus is 2; and the structural characteristic parameter of a truck is 3. The structural characteristic parameters of the obtained target vehicle are set to the preset structural parameters, and the vehicle type difference ratio is calculated.
[0068] Step S22: calculating a rear-end collision hazard coefficient according to the collision mass multiplier and the vehicle type difference multiplier;
[0069] Exemplarily, a preset formula H=X*B is obtained, wherein X is the vehicle model difference multiplier, B is the collision mass multiplier, and H is the rear-end collision hazard coefficient.
[0070] Step S23: Based on the rear-end collision hazard coefficient, rear-end collision hazard warning information and rear-end collision warning information are sent to avoid rear-end collision.
[0071] For example, when the rear-end collision risk of nearby vehicles is level 2, the driver is reminded through voice and risk icons: There is a vehicle nearby at risk 2, please pay attention to its situation; when the rear-end collision risk of nearby vehicles is level 3, the driver is reminded through voice and risk icons: There is a vehicle nearby at risk 3, please maintain appropriate lane spacing and distance; when the rear-end collision risk of nearby vehicles is level 4, the driver is reminded through voice and risk icons: There is a vehicle nearby at risk 4, please ensure safety and avoid it as soon as possible.
[0072] Specifically, after sending the rear-end collision hazard warning information and the rear-end collision warning information, it also includes: determining whether the vehicle state has changed within a preset time period; if it is determined that the vehicle state has not changed within the preset time period, controlling the speed and / or direction of the vehicle to avoid a rear-end collision.
[0073] For example, when the rear vehicle is at risk 4, after the voice prompt, and the driver fails to make an evasive maneuver in time, an evasive route is planned based on the situation of surrounding vehicles and potential rear-end collision risks, and the vehicle is taken over at the same time to avoid rear-end collision.
[0074] In this embodiment, by calculating the collision mass ratio and the vehicle type difference ratio; calculating the rear-end collision hazard coefficient according to the collision mass ratio and the vehicle type difference ratio; based on the rear-end collision hazard coefficient, sending rear-end collision hazard warning information and rear-end collision warning information to avoid rear-end collision.
[0075] In a second aspect, an embodiment of the present application also provides a system for preventing vehicle rear-end collisions.
[0076] In one embodiment, referring to Figure 3 , Figure 3 This is a functional module diagram of an embodiment of a system for preventing rear-end collisions of vehicles in this application. Figure 3 As shown, the system for preventing rear-end collisions includes:
[0077] An acquisition module 10 is used to acquire a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient, and a collision prediction coefficient of a target vehicle;
[0078] A calculation module 20, for calculating a rear-end collision coefficient according to a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient and a collision prediction coefficient of the target vehicle;
[0079] The sending module 30 is used to send warning information according to the rear-end collision coefficient to avoid rear-end collision.
[0080] Furthermore, in one embodiment, the calculation module 20 is used to:
[0081] Get the preset formula P=(Z+T+C)*D;
[0082] Based on the preset formula P=(Z+T+C)*D, the lane correlation coefficient of the target vehicle, the driver state coefficient, the vehicle state coefficient and the collision prediction coefficient, the rear-end collision coefficient is calculated, wherein P is the rear-end collision coefficient, Z is the vehicle state coefficient, T is the driver state coefficient, C is the collision prediction coefficient, and D is the lane correlation coefficient.
[0083] Furthermore, in one embodiment, the sending module 30 is used to:
[0084] comparing the rear-end collision coefficient with a preset rear-end collision coefficient;
[0085] If the rear-end collision coefficient is less than the preset rear-end collision coefficient, sending a first rear-end collision warning message to avoid a rear-end collision;
[0086] If the rear-end collision coefficient is greater than or equal to the preset rear-end collision coefficient, a rear-end collision warning message is sent according to the preset rear-end collision coefficient range in which the rear-end collision coefficient is located to avoid a rear-end collision, wherein the rear-end collision warning message includes second rear-end collision warning information and third rear-end collision warning information.
[0087] Furthermore, in one embodiment, the system for preventing rear-end collisions of vehicles further includes a new module for:
[0088] Calculate the collision mass multiplier and vehicle model difference multiplier;
[0089] Calculating a rear-end collision hazard coefficient according to the collision mass multiplier and the vehicle type difference multiplier;
[0090] Based on the rear-end collision hazard coefficient, rear-end collision hazard warning information and rear-end collision warning information are sent to avoid rear-end collision.
[0091] Furthermore, in one embodiment, the system for preventing rear-end collisions of vehicles further includes a new module for:
[0092] Obtain target vehicle mass and target vehicle type;
[0093] Calculating the collision mass multiplier according to the target vehicle mass and the preset mass;
[0094] The vehicle type difference ratio is calculated according to the vehicle type and preset structural parameters.
[0095] Furthermore, in one embodiment, the system for preventing rear-end collisions of vehicles further includes a new module for:
[0096] Determine whether the vehicle status has changed within a preset time period;
[0097] If it is determined that the vehicle state has not changed within the preset time period, the speed and / or direction of the vehicle is controlled to avoid a rear-end collision.
[0098] Furthermore, in one embodiment, the acquisition module 10 is used to:
[0099] Receive lane information, driver status information, vehicle status information, vehicle distance, relative speed and relative acceleration sent by the target vehicle;
[0100] According to the lane information and the preset lane coefficient table, obtaining the lane correlation coefficient of the target vehicle;
[0101] According to the driver state information and a preset driver state coefficient table, obtaining the driver state coefficient of the target vehicle, wherein the driver state information includes fatigue level, heartbeat and breathing;
[0102] According to the vehicle state information and a preset vehicle state coefficient table, the vehicle state coefficient of the target vehicle is obtained, wherein the vehicle state information includes vehicle braking, acceleration and steering codes;
[0103] A collision prediction coefficient of the target vehicle is determined according to the vehicle distance, relative speed and relative acceleration.
[0104] Among them, the functional implementation of each module in the above-mentioned system for preventing vehicle rear-end collisions corresponds to the steps in the above-mentioned method embodiment for preventing vehicle rear-end collisions, and their functions and implementation processes will not be repeated here one by one.
[0105] On the third aspect, an embodiment of the present application provides a device for preventing vehicle rear-end collisions. The device for preventing vehicle rear-end collisions may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.
[0106] Reference Figure 4 , Figure 4 The hardware structure diagram of the device for preventing vehicle rear-end collision involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the device for preventing vehicle rear-end collision may include a processor, a memory, a communication interface and a communication bus.
[0107] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.
[0108] The communication interface includes an input / output (I / O) interface, a physical interface, and a logical interface, etc., which are used to interconnect the devices inside the vehicle rear-end collision prevention device, and an interface used to interconnect the vehicle rear-end collision prevention device with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, an optical fiber interface, an ATM interface, etc.; the user device can be a display, a keyboard, etc.
[0109] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.
[0110] The processor may be a general-purpose processor, which may call a program for preventing rear-end collision of a vehicle stored in a memory and execute the method for preventing rear-end collision of a vehicle provided in an embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the program for preventing rear-end collision of a vehicle is called may refer to the various embodiments of the method for preventing rear-end collision of a vehicle of the present application, which will not be described in detail here.
[0111] Those skilled in the art will understand that Figure 4 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.
[0112] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.
[0113] The computer-readable storage medium of the present application stores a program for preventing vehicle rear-end collisions, wherein when the program for preventing vehicle rear-end collisions is executed by a processor, the steps of the method for preventing vehicle rear-end collisions as described above are implemented.
[0114] Among them, the method implemented when the program for preventing vehicle rear-end collision is executed can refer to the various embodiments of the method for preventing vehicle rear-end collision of the present application, and will not be repeated here.
[0115] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.
[0116] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.
[0117] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.
[0118] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.
[0119] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.
[0120] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.
[0121] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.
Claims
1. A method for preventing vehicle rear-end collision, characterized in that: The method for preventing rear-end collision of vehicles comprises: Obtaining a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient, and a collision prediction coefficient of the target vehicle; Calculating a rear-end collision coefficient according to a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient, and a collision prediction coefficient of the target vehicle; According to the rear-end collision coefficient, a warning message is sent to avoid a rear-end collision.
2. The method for preventing rear-end collision of vehicles as claimed in claim 1, characterized in that: The method of calculating the rear-end collision coefficient according to the lane correlation coefficient, the driver state coefficient, the vehicle state coefficient and the collision prediction coefficient of the target vehicle includes: Get the preset formula P=(Z+T+C)*D; Based on the preset formula P=(Z+T+C)*D, the lane correlation coefficient of the target vehicle, the driver state coefficient, the vehicle state coefficient and the collision prediction coefficient, the rear-end collision coefficient is calculated, wherein P is the rear-end collision coefficient, Z is the vehicle state coefficient, T is the driver state coefficient, C is the collision prediction coefficient, and D is the lane correlation coefficient.
3. The method for preventing rear-end collision of vehicles as claimed in claim 1, characterized in that: The sending of warning information according to the rear-end collision coefficient to avoid rear-end collision includes: comparing the rear-end collision coefficient with a preset rear-end collision coefficient; If the rear-end collision coefficient is less than the preset rear-end collision coefficient, sending a first rear-end collision warning message to avoid a rear-end collision; If the rear-end collision coefficient is greater than or equal to the preset rear-end collision coefficient, a rear-end collision warning message is sent according to the preset rear-end collision coefficient range in which the rear-end collision coefficient is located to avoid a rear-end collision, wherein the rear-end collision warning message includes second rear-end collision warning information and third rear-end collision warning information.
4. The method for preventing rear-end collision of vehicles as claimed in claim 3, characterized in that: If the rear-end collision coefficient is greater than or equal to the preset rear-end collision coefficient, the method further includes: Calculate the collision mass multiplier and vehicle model difference multiplier; Calculating a rear-end collision hazard coefficient according to the collision mass multiplier and the vehicle type difference multiplier; Based on the rear-end collision hazard coefficient, rear-end collision hazard warning information and rear-end collision warning information are sent to avoid rear-end collision.
5. The method for preventing rear-end collision of vehicles as claimed in claim 4, characterized in that: The obtaining of the collision mass multiplier and the vehicle type difference multiplier includes: Obtain target vehicle mass and target vehicle type; Calculating the collision mass multiplier according to the target vehicle mass and the preset mass; The vehicle type difference ratio is calculated according to the vehicle type and preset structural parameters.
6. The method for preventing rear-end collision of vehicles as claimed in claim 4, characterized in that: After sending the rear-end collision hazard warning information and the rear-end collision warning information, the method further includes: Determine whether the vehicle status has changed within a preset time period; If it is determined that the vehicle state has not changed within the preset time period, the speed and / or direction of the vehicle is controlled to avoid a rear-end collision.
7. The method for preventing rear-end collision of vehicles as claimed in claim 1, characterized in that: The obtaining of the lane correlation coefficient, the driver state coefficient, the vehicle state coefficient and the collision prediction coefficient of the target vehicle includes: Receive lane information, driver status information, vehicle status information, vehicle distance, relative speed and relative acceleration sent by the target vehicle; According to the lane information and the preset lane coefficient table, obtaining the lane correlation coefficient of the target vehicle; According to the driver state information and a preset driver state coefficient table, obtaining the driver state coefficient of the target vehicle, wherein the driver state information includes fatigue level, heartbeat and breathing; According to the vehicle state information and a preset vehicle state coefficient table, the vehicle state coefficient of the target vehicle is obtained, wherein the vehicle state information includes vehicle braking, acceleration and steering codes; A collision prediction coefficient of the target vehicle is determined according to the vehicle distance, relative speed and relative acceleration.
8. A system for preventing rear-end collision of vehicles, characterized in that: The system for preventing rear-end collision of vehicles comprises: An acquisition module, used to acquire a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient, and a collision prediction coefficient of a target vehicle; A calculation module, used to calculate a rear-end collision coefficient according to a lane correlation coefficient, a driver state coefficient, a vehicle state coefficient and a collision prediction coefficient of the target vehicle; The sending module is used to send warning information according to the rear-end collision coefficient to avoid rear-end collision.
9. A device for preventing vehicle rear-end collision, characterized in that: The device for preventing vehicle rear-end collisions includes a processor, a memory, and a program for preventing vehicle rear-end collisions stored in the memory and executable by the processor, wherein when the program for preventing vehicle rear-end collisions is executed by the processor, the steps of the method for preventing vehicle rear-end collisions as described in any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program for preventing rear-end collision of a vehicle, wherein when the program for preventing rear-end collision of a vehicle is executed by a processor, the steps of the method for preventing rear-end collision of a vehicle as claimed in any one of claims 1 to 7 are implemented.