Vehicle auxiliary control method and device, electronic equipment and vehicle

Abstract

The invention is suitable for the technical field of vehicles, and provides a vehicle auxiliary control method and device, electronic equipment and a vehicle. If the visual field loss condition occurs, determining a corresponding emergency risk avoiding strategy according to the type of the visual field loss condition; wherein different emergency risk avoiding strategies are preset for different types of view loss conditions; and according to the emergency risk avoiding strategy, forcibly performing automatic driving control on the vehicle. Safety driving of the vehicle can be guaranteed under the condition that the view of the driver is lost.

Description

Technical Field

[0001] The present invention belongs to the field of vehicle technology, and in particular relates to a vehicle auxiliary control method, device, electronic equipment and vehicle. Background Art

[0002] When a car is driving at high speed, lightweight materials or other flying objects dropped from a large truck may cover the front windshield, which may easily cause the driver to lose vision. In addition, in the case of sudden changes in light and darkness, such as when the vehicle enters or exits a tunnel or when the high beam is illuminated, there may also be a temporary loss of vision due to physiological reasons. When vision is lost, accidents are very likely to occur, so it is very necessary to ensure safe driving of the vehicle when there is no vision. Summary of the invention

[0003] In view of this, an embodiment of the present invention provides a vehicle auxiliary control method, device, electronic device and vehicle to ensure safe driving of the vehicle when the driver loses his or her field of vision.

[0004] A first aspect of an embodiment of the present invention provides a vehicle auxiliary control method, comprising:

[0005] Detect whether visual field loss occurs;

[0006] If a loss of vision occurs, a corresponding emergency avoidance strategy is determined according to the type of the loss of vision; different emergency avoidance strategies are preset for different types of loss of vision;

[0007] According to the emergency avoidance strategy, the vehicle is forced to be under automatic driving control.

[0008] In combination with the first aspect, in a possible implementation manner of the first aspect, the type of the field of view loss situation includes light influence;

[0009] Methods for detecting whether a loss of view of type light effect has occurred include:

[0010] Detecting the light intensity inside and / or outside the vehicle, and determining whether there is a sudden light change based on the light intensity; wherein the sudden light change refers to a change in light intensity within a first preset time that is greater than a first preset threshold;

[0011] Detect the driver's facial expressions and determine whether the driver is under the influence based on the facial expressions;

[0012] If the light changes suddenly and the driver is affected, it is determined that a loss of vision of the type light impact has occurred.

[0013] In combination with the first aspect, in a possible implementation manner of the first aspect, an emergency avoidance strategy corresponding to a loss of vision due to light influence includes:

[0014] Get traffic information and the current navigation route of the navigation map;

[0015] According to the road condition information, the vehicle is controlled to travel along the current navigation route.

[0016] In combination with the first aspect, in a possible implementation of the first aspect, after forcibly controlling the vehicle to be automatically driven according to an emergency avoidance strategy corresponding to a loss of vision situation caused by light influence, the method further includes:

[0017] After the autonomous driving control time reaches a preset length of time, the driver's facial expression is detected;

[0018] Judging whether the driver's vision has been restored based on facial expressions;

[0019] If the driver's field of vision is restored, the current emergency avoidance strategy is exited.

[0020] In combination with the first aspect, in a possible implementation manner of the first aspect, the vehicle auxiliary control method further includes:

[0021] Get the current location of the vehicle and the current navigation route of the navigation map;

[0022] Based on the current location and current navigation route, determine whether there is a light change scene within a preset distance in front of the vehicle;

[0023] If there is a light change scene within a preset distance in front of the vehicle, a light change prompt will be given, and a determination will be made as to whether the emergency avoidance strategy corresponding to the type of loss of vision caused by light is turned on. If not, the driver will be prompted to turn it on.

[0024] In combination with the first aspect, in a possible implementation manner of the first aspect, the type of the field of view loss situation includes foreign body occlusion;

[0025] Methods for detecting whether a loss of vision due to foreign body occlusion occurs include:

[0026] Acquire a front windshield image of the vehicle, and determine whether there is a target obstruction on the front windshield of the vehicle according to the image, and if so, determine that the first condition is met;

[0027] Detecting the light intensity inside and outside the vehicle, calculating the difference between the light intensity inside and outside the vehicle, and determining whether the difference is greater than a second preset threshold, and if so, determining that the second condition is met;

[0028] Detect the driver's facial expression and determine whether the driver is affected based on the facial expression;

[0029] If the driver is affected and at least one of the first condition and the second condition is met, it is determined that a loss of vision of the type of foreign object obstruction has occurred.

[0030] In combination with the first aspect, in a possible implementation manner of the first aspect, an emergency avoidance strategy corresponding to a loss of vision caused by foreign object obstruction includes:

[0031] Get traffic information;

[0032] According to the traffic information, the vehicle is controlled to change lanes to the rightmost lane and stop.

[0033] A second aspect of an embodiment of the present invention provides a vehicle auxiliary control device, including:

[0034] A detection module, used to detect whether visual field loss occurs;

[0035] The risk avoidance module is used to determine the corresponding emergency risk avoidance strategy according to the type of vision loss situation if a vision loss situation occurs; different emergency risk avoidance strategies are preset for different types of vision loss situations; according to the emergency risk avoidance strategy, the vehicle is forced to be automatically driven.

[0036] A third aspect of an embodiment of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the processor implements the steps of the vehicle auxiliary control method in the first aspect or any possible implementation method of the first aspect.

[0037] The fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the vehicle auxiliary control method in the above-mentioned first aspect or any possible implementation method of the first aspect.

[0038] A fifth aspect of an embodiment of the present invention provides a vehicle, comprising the electronic device of the third aspect.

[0039] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0040] The embodiment of the present invention pre-sets different emergency avoidance strategies for different types of vision loss situations, and can reasonably control the vehicle to avoid danger. For example, when the vehicle enters or exits a tunnel and loses vision due to a sudden change in light, the vehicle must keep driving along the road, and when the front windshield of the vehicle is blocked by foreign objects, the vehicle must pull over. At the same time, this embodiment automatically controls the vehicle by force in the case of vision loss, without the need for driver operation, to prevent the driver from changing lanes, braking, and other operations without vision, which may cause danger. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0042] Figure 1 is a flow chart of a vehicle auxiliary control method provided by an embodiment of the present invention;

[0043] Figure 2 is a schematic structural diagram of a vehicle auxiliary control device provided by an embodiment of the present invention;

[0044] Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0046] In order to illustrate the technical solution of the present invention, a specific embodiment is provided below for illustration.

[0047] This embodiment is mainly used to solve the problem that the driver has difficulty seeing the road conditions due to emergencies during vehicle driving. Through various sensors installed on the vehicle and the intelligent driving system, it detects the loss of vision and assists in driving the vehicle in the event of loss of vision to achieve emergency avoidance.

[0048] See also Figure 1 As shown, the vehicle auxiliary control method of this embodiment includes the following steps:

[0049] Step S101, detecting whether a visual field is lost.

[0050] In this embodiment, two situations of vision loss are proposed. One is when the vehicle is driving, the tarpaulin covering the cargo of the truck in front falls off or other flying objects cover the front windshield. At this time, the vehicle speed is too high, the driver has no vision and is prone to nervous operation, which is very likely to cause an accident; the other is when the vehicle is in alternating light and dark, such as when entering or exiting a tunnel or when the high beam of an oncoming vehicle is dazzling. In the case of a sudden large difference in light and dark, due to physiological reasons, there will be a temporary loss of vision, affecting driving safety.

[0051] Among them, the loss of vision can be detected by cameras, light sensors, millimeter-wave radars and other equipment installed on the vehicle.

[0052] Step S102: If a loss of vision occurs, a corresponding emergency avoidance strategy is determined according to the type of the loss of vision situation; different types of loss of vision situations are preset with different emergency avoidance strategies; according to the emergency avoidance strategy, the vehicle is forced to be automatically driven.

[0053] In this embodiment, different emergency avoidance strategies are implemented for different vision loss situations. For example, if the tarpaulin covering the cargo of the truck in front falls off or other flying objects cover the front windshield, it is necessary to pull over and clear the foreign objects. In the case of vision loss when the vehicle is in alternating light and dark, the vision loss is only temporary, and the vehicle can be controlled to automatically drive along the current lane.

[0054] In addition, in the case of loss of vision, one existing avoidance strategy is to automatically turn on the wipers to clear the foreign object, but this method does not work well when the foreign object is too large or smashes the windshield. Another existing avoidance strategy is to project the road condition information ahead onto the multimedia screen inside the car, but in an emergency, the driver may not have time to look at the multimedia screen, and may misoperate the vehicle due to nervousness, so the effect of this method is not very ideal.

[0055] Taking the above problems into consideration, this embodiment adopts automatic driving control, which enables safe driving when the driver has no vision by forcibly taking over control of the vehicle, and can avoid driver misoperation.

[0056] Among them, autonomous driving control can be achieved through the EHP (Electronic Horizon Provider), ALC (Auto Lane Change), ADAS (Advanced Driver Assistance System) and other systems installed on the vehicle.

[0057] EHP can provide beyond-visual-range road shape and data information for intelligent assisted driving.

[0058] ALC is an assisted driving function based on the comfort of lane centering assistance. On smooth closed highways or urban expressways, it can assist the driver in lane changes.

[0059] ADAS uses a variety of sensors installed on the vehicle to collect data and combines it with map data for calculations, thereby predicting possible dangers for the driver and ensuring driving safety.

[0060] It can be seen that this embodiment pre-sets different emergency avoidance strategies for different types of vision loss situations, and can reasonably avoid danger control for the vehicle, such as keeping the vehicle on the road when the vision is lost due to sudden changes in light when the vehicle enters or exits a tunnel, and pulling over when the front windshield of the vehicle is blocked by foreign objects. At the same time, this embodiment automatically controls the vehicle by force in the case of vision loss, without the need for driver operation, to prevent the driver from changing lanes, braking, and other operations without vision, which may cause danger.

[0061] As a possible implementation, the type of view loss situation includes light effects.

[0062] Accordingly, in step S101, the method for detecting whether the visual field loss caused by light influence occurs includes:

[0063] Detecting the light intensity inside and / or outside the vehicle, and determining whether there is a sudden light change based on the light intensity; wherein the sudden light change refers to a change in light intensity within a first preset time that is greater than a first preset threshold;

[0064] Detect the driver's facial expressions and determine whether the driver is under the influence based on the facial expressions;

[0065] If the light changes suddenly and the driver is affected, it is determined that a loss of vision of the type light impact has occurred.

[0066] When a vehicle enters or exits a tunnel, the light intensity inside or outside the vehicle will suddenly change greatly. At the same time, the driver will not be able to see clearly, and will subconsciously squint, blink, rub his eyes, etc., and it will take a few seconds to return to normal. These behavioral characteristics can be identified by image analysis, neural networks, etc. Combining the light intensity and the driver's facial expression, it is possible to more accurately identify whether the light is affected. For example, turning on the headlights and interior lights will also cause a large change in light intensity, but generally will not cause loss of vision. This embodiment can avoid misjudging these situations as light-affected situations.

[0067] Among them, light intensity and facial expressions can be captured by the camera inside the car.

[0068] As a possible implementation method, the emergency avoidance strategy corresponding to the loss of vision caused by light impact includes:

[0069] Get traffic information and the current navigation route of the navigation map;

[0070] According to the road condition information, the vehicle is controlled to travel along the current navigation route.

[0071] In this embodiment, when light influence occurs, radar and external cameras can be used to collect surrounding environment information, and EHP can be used to provide beyond-visual-range road shape and data information. The vehicle integrates driving path planning and lane-level navigation guidance to clarify the specific direction of the vehicle's operation, control the vehicle to travel along the current navigation route, avoid dangerous lane deviation, and avoid missing the highway exit.

[0072] As a possible implementation, after forcing the vehicle to be automatically driven according to the emergency avoidance strategy corresponding to the visual field loss situation of the type of light influence in step S102, the method further includes:

[0073] After the autonomous driving control time reaches a preset length of time, the driver's facial expression is detected;

[0074] Judging whether the driver's vision has been restored based on facial expressions;

[0075] If the driver's field of vision is restored, the current emergency avoidance strategy is exited.

[0076] In this embodiment, the control of the vehicle can be returned to the driver after 3-5 seconds if the driver's facial expression returns to normal. This application does not limit the preset time length.

[0077] As a possible implementation method, the vehicle auxiliary control method further includes:

[0078] Get the current location of the vehicle and the current navigation route of the navigation map;

[0079] Based on the current location and current navigation route, determine whether there is a light change scene within a preset distance in front of the vehicle;

[0080] If there is a light change scene within a preset distance in front of the vehicle, a light change prompt will be given, and a determination will be made as to whether the emergency avoidance strategy corresponding to the type of loss of vision caused by light is turned on. If not, the driver will be prompted to turn it on.

[0081] In this embodiment, during the operation of the vehicle, by obtaining the vehicle position information and combining it with the current navigation route of the navigation map, it can be determined whether there are light change scenes such as tunnel entrances and exits ahead. When a tunnel entrance and exit is detected within a preset distance ahead, the specific information of the tunnel entrance and exit is broadcast by voice, and the sensor parameters are monitored in real time. The user is prompted by voice that there is a risk of temporary loss of vision due to alternating light and dark, so as to warn the driver and prepare for it in advance. At the same time, it can also detect whether the corresponding emergency avoidance strategy is turned on. If it is not turned on, the driver is prompted by voice to turn it on. In this embodiment, a one-touch start button can be set on the steering wheel of the vehicle to quickly turn on the emergency avoidance strategy. In addition, after the driver's field of vision is restored and the emergency avoidance strategy is exited, a voice prompt is also required to the driver.

[0082] As a possible implementation manner, the type of field of view loss situation includes foreign object occlusion.

[0083] Methods for detecting whether a loss of vision due to foreign body occlusion occurs include:

[0084] Acquire a front windshield image of the vehicle, and determine whether there is a target obstruction on the front windshield of the vehicle according to the image, and if so, determine that the first condition is met;

[0085] Detecting the light intensity inside and outside the vehicle, calculating the difference between the light intensity inside and outside the vehicle, and determining whether the difference is greater than a second preset threshold, and if so, determining that the second condition is met;

[0086] Detect the driver's facial expressions and determine whether the driver is under the influence based on the facial expressions;

[0087] If the driver is affected and at least one of the first condition and the second condition is met, it is determined that a foreign object blocking situation occurs.

[0088] In this embodiment, the camera can be used to obtain the image of the front windshield, and compared with the image of the front windshield without foreign objects, and the presence of foreign objects can be determined based on the similarity. However, when the camera is covered, it may not be possible to obtain image information, so light intensity detection is added. When there is no foreign object on the front windshield, the difference in light intensity inside and outside the car will fluctuate within a small range. When the front windshield is covered by foreign objects, the difference in light intensity inside and outside the car will suddenly increase, thereby determining whether foreign objects may be blocked. In addition, combined with the detection of the driver's facial expression, the accuracy of the judgment can be further improved.

[0089] As a possible implementation method, the emergency avoidance strategies corresponding to the loss of vision due to foreign object occlusion include:

[0090] Get traffic information;

[0091] According to the traffic information, the vehicle is controlled to change lanes to the rightmost lane and stop.

[0092] In this embodiment, the intelligent driving assistance system is enabled, and the vehicle performs adaptive cruise control. When there are no vehicles around or the driving distance is safe, the vehicle uses ALC to change lanes to the right and slow down according to the planned path (lanes can be changed multiple times until the rightmost lane), and finally pulls over to the side of the road. After the vehicle is in a safe state, a voice broadcast prompts the user to exit the emergency avoidance strategy, and the driving right returns to the driver to avoid the driver losing vision and panicking in an emergency, causing an accident due to operational errors, and causing personal injury.

[0093] In combination with the above, this technical solution mainly provides the car owner with an effective emergency avoidance solution of intelligent assisted driving, automatic lane change, and side parking when the driver's vision is temporarily lost or there is no vision. Through the emergency avoidance solution, the automatic driving technology is used to put the vehicle in a safe state, protect the life safety of the driver and passengers, improve driving safety, and reduce the occurrence of traffic accidents.

[0094] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0095] See also Figure 2 As shown, this embodiment also provides a vehicle auxiliary control device 20, including:

[0096] The detection module 21 is used to detect whether the visual field is lost.

[0097] The risk avoidance module 22 is used to determine a corresponding emergency risk avoidance strategy according to the type of the vision loss situation if a vision loss situation occurs; different emergency risk avoidance strategies are preset for different types of vision loss situations; and according to the emergency risk avoidance strategy, the vehicle is forced to be automatically driven.

[0098] As a possible implementation, the type of view loss situation includes light effects.

[0099] The detection module 21 is specifically used for:

[0100] Detecting the light intensity inside and / or outside the vehicle, and determining whether there is a sudden light change based on the light intensity; wherein the sudden light change refers to a change in light intensity within a first preset time that is greater than a first preset threshold;

[0101] Detect the driver's facial expressions and determine whether the driver is under the influence based on the facial expressions;

[0102] If the light changes suddenly and the driver is affected, it is determined that a loss of vision of the type light impact has occurred.

[0103] As a possible implementation method, the emergency avoidance strategy corresponding to the loss of vision caused by light impact includes:

[0104] Get traffic information and the current navigation route of the navigation map;

[0105] According to the road condition information, the vehicle is controlled to travel along the current navigation route.

[0106] In a possible implementation, after forcing the vehicle to be automatically controlled according to the emergency avoidance strategy corresponding to the visual field loss situation of the type of light influence, the avoidance module 22 is further used to:

[0107] After the autonomous driving control time reaches a preset length of time, the driver's facial expression is detected;

[0108] Judging whether the driver's vision has been restored based on facial expressions;

[0109] If the driver's field of vision is restored, the current emergency avoidance strategy is exited.

[0110] As a possible implementation, the risk hedging module 22 is further used for:

[0111] Get the current location of the vehicle and the current navigation route of the navigation map;

[0112] Based on the current position and the current navigation route, determine whether there is a light change scene within a preset distance in front of the vehicle, and the light change scene includes the entrance and exit of the tunnel;

[0113] If there is a light change scene within a preset distance in front of the vehicle, a light change prompt will be given, and a determination will be made as to whether the emergency avoidance strategy corresponding to the type of loss of vision caused by light is turned on. If not, the driver will be prompted to turn it on.

[0114] As a possible implementation manner, the type of field of view loss situation includes foreign object occlusion.

[0115] The detection module 21 is specifically used for:

[0116] Acquire a front windshield image of the vehicle, and determine whether there is a target obstruction on the front windshield of the vehicle according to the image, and if so, determine that the first condition is met;

[0117] Detecting the light intensity inside and outside the vehicle, calculating the difference between the light intensity inside and outside the vehicle, and determining whether the difference is greater than a second preset threshold, and if so, determining that the second condition is met;

[0118] Detect the driver's facial expressions and determine whether the driver is under the influence based on the facial expressions;

[0119] If the driver is affected and at least one of the first condition and the second condition is met, it is determined that a foreign object blocking situation occurs.

[0120] As a possible implementation method, the emergency avoidance strategies corresponding to the loss of vision due to foreign object occlusion include:

[0121] Get traffic information;

[0122] According to the traffic information, the vehicle is controlled to change lanes to the rightmost lane and stop.

[0123] Figure 3 FIG. 1 is a schematic diagram of an electronic device 30 provided by an embodiment of the present invention. Figure 3 As shown, the electronic device 30 of this embodiment includes: a processor 31, a memory 32, and a computer program 33 stored in the memory 32 and executable on the processor 31, such as a vehicle auxiliary control program. When the processor 31 executes the computer program 33, the steps in the above-mentioned various vehicle auxiliary control method embodiments are implemented, such as Figure 1 Alternatively, when the processor 31 executes the computer program 33, the functions of each module / unit in the above-mentioned device embodiments are realized, for example Figure 2 The functions of modules 21 to 22 are shown.

[0124] Exemplarily, the computer program 33 may be divided into one or more modules / units, one or more modules / units are stored in the memory 32, and executed by the processor 31 to implement the present invention. One or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 33 in the electronic device 30.

[0125] The electronic device 30 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device 30 may include, but is not limited to, a processor 31 and a memory 32. Those skilled in the art will appreciate that Figure 3 It is only an example of the electronic device 30 and does not constitute a limitation of the electronic device 30. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device 30 may also include input and output devices, network access devices, buses, etc.

[0126] The processor 31 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0127] The memory 32 may be an internal storage unit of the electronic device 30, such as a hard disk or memory of the electronic device 30. The memory 32 may also be an external storage device of the electronic device 30, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 30. Further, the memory 32 may also include both an internal storage unit of the electronic device 30 and an external storage device. The memory 32 is used to store computer programs and other programs and data required by the electronic device 30. The memory 32 may also be used to temporarily store data that has been output or is to be output.

[0128] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0129] This embodiment also provides a vehicle, comprising the electronic device as described above.

[0130] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0131] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0132] In the embodiments provided by the present invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0133] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0134] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0135] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. Computer-readable media can include: any entity or device that can carry computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0136] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A vehicle auxiliary control method, characterized in that: include: Detect whether visual field loss occurs; If a loss of vision occurs, a corresponding emergency avoidance strategy is determined according to the type of the loss of vision; different emergency avoidance strategies are preset for different types of loss of vision; According to the emergency avoidance strategy, the vehicle is forced to be automatically controlled.

2. The vehicle auxiliary control method according to claim 1, characterized in that: The types of visual field loss conditions described include light effects; Methods for detecting whether a loss of view of type light effect has occurred include: Detecting the light intensity inside and / or outside the vehicle, and determining whether there is a sudden light change based on the light intensity; wherein the sudden light change refers to a change in light intensity within a first preset time that is greater than a first preset threshold; Detect the driver's facial expressions and determine whether the driver is under the influence based on the facial expressions; If the light changes suddenly and the driver is affected, it is determined that a loss of vision of the type light impact has occurred.

3. The vehicle auxiliary control method according to claim 2, characterized in that: Emergency avoidance strategies for light-affected vision loss include: Get traffic information and the current navigation route of the navigation map; According to the road condition information, the vehicle is controlled to travel along the current navigation route.

4. The vehicle auxiliary control method according to claim 3, characterized in that: After forcing the vehicle to be controlled automatically according to the emergency avoidance strategy corresponding to the loss of vision caused by light, it also includes: After the autonomous driving control time reaches a preset length of time, the driver's facial expression is detected; determining whether the driver's field of vision has been restored according to the facial expression; If the driver's field of vision is restored, the current emergency avoidance strategy is exited.

5. The vehicle auxiliary control method according to any one of claims 1 to 4, characterized in that: Also includes: Get the current location of the vehicle and the current navigation route of the navigation map; Determining whether there is a light change scene within a preset distance in front of the vehicle according to the current position and the current navigation route; If there is a light change scene within a preset distance in front of the vehicle, a light change prompt will be given, and a determination will be made as to whether the emergency avoidance strategy corresponding to the type of loss of vision caused by light is turned on. If not, the driver will be prompted to turn it on.

6. The vehicle auxiliary control method according to claim 1, characterized in that: The types of visual field loss situations include foreign body occlusion; Methods for detecting whether a loss of vision due to foreign body occlusion occurs include: Acquire a front windshield image of the vehicle, and determine whether there is a target obstruction on the front windshield of the vehicle according to the image, and if so, determine that the first condition is met; Detecting the light intensity inside and outside the vehicle, calculating the difference between the light intensity inside and outside the vehicle, and determining whether the difference is greater than a second preset threshold, and if so, determining that the second condition is met; Detect the driver's facial expression and determine whether the driver is affected based on the facial expression; If the driver is affected and at least one of the first condition and the second condition is met, it is determined that a loss of vision of the type of foreign object obstruction has occurred.

7. The vehicle auxiliary control method according to claim 6, characterized in that: The emergency avoidance strategies for the loss of vision due to foreign object obstruction include: Get traffic information; According to the road condition information, the vehicle is controlled to change lanes to the rightmost lane and stop.

8. A vehicle auxiliary control device, characterized in that: include: A detection module, used to detect whether visual field loss occurs; The risk avoidance module is used to determine the corresponding emergency risk avoidance strategy according to the type of the loss of vision situation if a loss of vision situation occurs; wherein different types of loss of vision situations are preset with different emergency risk avoidance strategies; according to the emergency risk avoidance strategy, the vehicle is forced to be automatically driven.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A vehicle, characterized in that: Comprising the electronic device as claimed in claim 9.

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