Driving reminder method, device, equipment and storage medium

Abstract

The present invention belongs to the field of automobile driving technology, and discloses a driving reminder method, device, equipment and storage medium; the method comprises: obtaining driving data and environmental data of a self-vehicle; performing fusion analysis based on the driving data and environmental data of the self-vehicle to obtain driving perception parameters, adjusting the alarm limit of the self-vehicle based on the driving perception parameters, and obtaining a reference speed limit; performing driving reminders based on the reference speed limit and the lane in which the self-vehicle is traveling; the present invention analyzes environmental data and driving data collected during driving to determine whether the external driving environment and other vehicle flow speeds have an impact on the vehicle speed limit, further adjusts the vehicle speed alarm limit, and performs corresponding lane change or acceleration reminders on the driver based on the lane in which the self-vehicle is traveling and the adjusted reference speed limit, thereby improving the commuting efficiency of highways and expressways, and avoiding the risk of traffic accidents such as loss of control of the self-vehicle caused by unnecessary congestion caused by human factors.

Description

Technical Field

[0001] The present invention relates to the field of automobile driving technology, and in particular to a driving reminder method, device, equipment and storage medium. Background Art

[0002] Congestion often occurs when driving on expressways. It is common for vehicles to occupy the fast lane or overtaking lane while driving at low speeds. This kind of unnecessary congestion caused by humans greatly affects the commuting efficiency of the road. There is already technology that reminds you to accelerate or change lanes at this time.

[0003] However, in China, the period around the Spring Festival is a peak period for vehicle travel. At this time, driving at low speed and occupying the fast lane often causes large-scale congestion, but the temperature is often relatively low, and if it rains again, the road will be frozen or difficult to drive. If you drive according to the minimum speed limit of the fast lane or the overtaking lane, it will increase the risk of traffic accidents such as loss of control of the vehicle.

[0004] In addition, when a vehicle is driving on a highway, although the speed limit may be 120, only when the speed exceeds 10% will points be deducted and fines be imposed, so many drivers will choose to drive at 132 in the overtaking lane or fast lane. If the driver still drives at the minimum speed limit of the lane at this time, it will still affect the commuting efficiency of the vehicles behind. Summary of the invention

[0005] The main purpose of the present invention is to provide a driving reminder method, device, equipment and storage medium, aiming to solve the technical problem of the prior art that vehicles occupy the fast lane or overtaking lane due to low-speed driving, which affects the commuting efficiency of the road and increases the risk of traffic accidents such as loss of control of the vehicle.

[0006] To achieve the above object, the present invention provides a driving reminder method, which comprises the following steps:

[0007] Obtain self-driving data and environmental data;

[0008] Performing a fusion analysis based on the self-vehicle driving data and the environmental data to obtain driving perception parameters;

[0009] The alarm limit of the vehicle is adjusted according to the driving perception parameter to obtain a reference speed limit;

[0010] Driving reminders are provided based on the reference speed limit and the lane in which the vehicle is traveling.

[0011] Optionally, the obtaining of the vehicle driving data and environment data includes:

[0012] Starting the V2X functional unit of the vehicle based on the start command;

[0013] Acquiring self-vehicle driving data based on the V2X functional unit, wherein the self-vehicle driving data includes driving parameters and relative obstacle parameters;

[0014] Acquiring environmental data based on the V2X functional unit, the environmental data including a lane for the vehicle, environmental parameters, traffic parameters, and regional speed limit parameters;

[0015] The driving perception parameters include the current environment state and the current traffic state; the driving perception parameters are obtained by performing fusion analysis based on the self-vehicle driving data and the environment data, including:

[0016] Obtaining a full view of the driving state of the vehicle according to the driving data of the vehicle and the environmental data;

[0017] Evaluate the vehicle environment state based on the vehicle driving full view to obtain the current environment state;

[0018] The traffic state of the vehicle is evaluated according to the traffic flow data and the driving data of the vehicle in the environmental data to obtain the current traffic state.

[0019] Optionally, the evaluating the vehicle environment state based on the vehicle driving full view to obtain the current environment state includes:

[0020] Determining whether the environmental data will affect the driving field of view according to the full driving view of the vehicle and the environmental data;

[0021] When the driving vision is affected, the speed limit of the fast lane is reduced, and the current environment state is obtained as an affected state;

[0022] When the driving field of view is not affected, the process of obtaining the self-vehicle driving data and the environmental data is repeated.

[0023] Optionally, evaluating the traffic state of the vehicle according to the traffic flow data and the driving data of the vehicle in the environmental data to obtain the current traffic state includes:

[0024] Calculate the safety risk value of the vehicle and the traffic flow according to the traffic flow data in the environmental data and the driving parameters of the following vehicle in the driving data of the vehicle;

[0025] Obtaining an adjustment state of the vehicle according to the front traffic flow data, the side traffic flow data, the front vehicle speed and the side traffic speed in the driving data of the vehicle;

[0026] The current traffic state is obtained according to the vehicle safety risk value, the traffic flow and the vehicle adjustment state.

[0027] Optionally, adjusting the alarm limit of the vehicle according to the driving perception parameter to obtain a reference speed limit includes:

[0028] When the driving perception parameter meets the preset parameter restriction condition, obtaining the regional speed limit parameter of the area where the vehicle is located;

[0029] The alarm limit of the vehicle is adjusted according to the regional speed limit parameter to obtain a reference speed limit;

[0030] The driving reminder based on the reference speed limit and the lane of the vehicle, the driving reminder including low-speed driving reminder and avoidance driving reminder, includes:

[0031] When the vehicle is traveling in a fast lane and the vehicle speed is lower than a reference speed limit, obtaining a front road parameter and a right road parameter, and providing a low-speed driving reminder according to the front road parameter and the right road parameter;

[0032] When the own vehicle is in a preset lane, a rear vehicle speed parameter and a own vehicle speed parameter are obtained, and an avoidance driving reminder is performed according to the rear vehicle speed parameter and the own vehicle speed parameter.

[0033] Optionally, when the driving lane of the vehicle is a fast lane and the speed of the vehicle is lower than the reference speed limit, obtaining the parameters of the road ahead and the road on the right, and providing a low-speed driving reminder according to the parameters of the road ahead and the road on the right, includes:

[0034] When the vehicle is traveling in a fast lane and the vehicle speed is lower than the reference speed limit, the parameters of the road ahead and the road on the right are obtained;

[0035] When the parameters of the road ahead and the road on the right meet the preset conditions, an acceleration and / or lane change reminder is performed;

[0036] When the road parameters ahead meet the preset conditions and the road parameters on the right do not meet the preset conditions, an acceleration reminder is given;

[0037] When the road parameters ahead do not meet the preset conditions and the road parameters on the right meet the preset conditions, a lane change reminder is issued;

[0038] When the front road parameters and the right road parameters do not meet the preset conditions, the vehicle maintains the current speed for driving.

[0039] Optionally, when the vehicle is in a preset lane, obtaining a rear vehicle speed parameter and a vehicle speed parameter of the vehicle, and providing an evasive driving reminder according to the rear vehicle speed parameter and the vehicle speed parameter of the vehicle, includes:

[0040] When the vehicle is in a preset lane, obtaining a rear vehicle speed parameter and a vehicle speed parameter of the vehicle, wherein the preset lane includes a fast lane and an overtaking lane;

[0041] Obtaining a speed difference according to the rear vehicle speed parameter and the own vehicle speed parameter;

[0042] When the speed difference meets the preset speed condition and the speed parameter of the rear vehicle is less than the regional speed limit parameter of the area where the vehicle is located and the lane change condition and acceleration condition are met, an acceleration or lane change reminder is performed;

[0043] When the speed difference meets the preset speed condition and the speed parameter of the rear vehicle is greater than the regional speed limit parameter of the area where the vehicle is located and the lane change condition is not met and the acceleration condition is met, an acceleration reminder is given;

[0044] When the speed difference meets the preset speed condition and the rear vehicle speed parameter is greater than the regional speed limit parameter of the area where the vehicle is located and the lane change condition is met and the acceleration condition is not met, a lane change reminder is performed.

[0045] In addition, to achieve the above-mentioned purpose, the present invention also proposes a driving reminder device, the driving reminder device comprising:

[0046] Parameter acquisition module, used to obtain self-vehicle driving data and environmental data;

[0047] A data analysis module, used for performing fusion analysis based on the self-vehicle driving data and the environmental data to obtain driving perception parameters;

[0048] A driving reminder module, used to adjust the alarm limit of the vehicle according to the driving perception parameter to obtain a reference speed limit;

[0049] The driving reminder module is used to provide driving reminders based on the reference speed limit and the lane in which the vehicle is traveling.

[0050] In addition, to achieve the above-mentioned purpose, the present invention also proposes a driving reminder device, which includes: a memory, a processor, and a driving reminder program stored in the memory and executable on the processor, and the driving reminder program is configured to implement the steps of the driving reminder method described above.

[0051] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a driving reminder program is stored, and when the driving reminder program is executed by a processor, the steps of the driving reminder method described above are implemented.

[0052] The present invention analyzes environmental data and driving data collected during driving, determines whether the external driving environment and other vehicle flow speeds have an impact on the vehicle speed limit, further adjusts the vehicle speed alarm limit, and issues corresponding lane change or acceleration reminders to the driver according to the vehicle's driving lane and the adjusted reference speed limit, thereby improving the commuting efficiency of highways and expressways and avoiding the risk of traffic accidents such as vehicle loss of control caused by unnecessary congestion caused by humans. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a structural diagram of a driving reminder device in a hardware operating environment involved in an embodiment of the present invention;

[0054] Figure 2 It is a flowchart of the first embodiment of the driving reminder method of the present invention;

[0055] Figure 3 A schematic diagram of a flow chart of a second embodiment of a driving reminder method of the present invention;

[0056] Figure 4 It is a structural block diagram of the first embodiment of the driving reminder device of the present invention.

[0057] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0058] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0059] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the structure of a driving reminder device in the hardware operating environment involved in the embodiment of the present invention.

[0060] like Figure 1 As shown, the driving reminder device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0061] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the driving reminder device, and may include more or less components than those shown in the figure, or combine certain components, or arrange the components differently.

[0062] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a driving reminder program.

[0063] exist Figure 1 In the driving reminder device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the driving reminder device of the present invention can be set in the driving reminder device, and the driving reminder device calls the driving reminder program stored in the memory 1005 through the processor 1001, and executes the driving reminder method provided by the embodiment of the present invention.

[0064] The embodiment of the present invention provides a driving reminder method, referring to Figure 2 , Figure 2 FIG. 4 is a flow chart of a first embodiment of a driving reminder method according to the present invention.

[0065] In this embodiment, the driving reminder method includes the following steps:

[0066] Step S10: Acquire vehicle driving data and environment data.

[0067] It should be noted that the acquisition of the vehicle's driving data and environmental data can be obtained through the vehicle's V2X functional unit. When the vehicle is started, the V2X communication module is automatically activated.

[0068] It should be noted that the V2X functional unit of the vehicle is started based on the start-up instruction; the driving data of the vehicle is obtained based on the V2X functional unit, and the driving data of the vehicle includes driving parameters and relative obstacle parameters; the environmental data is obtained based on the V2X functional unit, and the environmental data includes the driving lane of the vehicle, environmental parameters, traffic parameters and regional speed limit parameters.

[0069] It is understandable that the start command may be a command automatically generated under a certain state of the vehicle (for example, the vehicle speed reaches a certain speed threshold), or may be a start command obtained by the driver clicking a switch.

[0070] Among them, it is understandable that V2X, the full name of Vehicle to Everything, is a vehicle networking technology that aims to improve traffic safety, efficiency and convenience through communication between vehicles and the surrounding environment. V2X communication technology includes communication between vehicles (V2V), communication between vehicles and infrastructure (V2I), communication between vehicles and pedestrians (V2P), and communication between vehicles and networks (V2N); V2X technology allows vehicles to exchange information through wireless signals, including traffic conditions, road conditions, pedestrian locations, traffic signal status, etc. In this way, vehicles can perceive the surrounding environment in real time, so as to make smarter and safer driving decisions. For example, when a vehicle is about to enter an intersection, it can use V2X technology to receive signals sent by other vehicles or traffic infrastructure, so as to judge in advance whether there is potential danger and take corresponding measures to avoid collision.

[0071] It should be noted that the self-driving data can include the surrounding environment information obtained through sensors such as rainfall and temperature. Detailed information about surrounding objects (vehicles, obstacles, etc.) can be obtained through sensors such as vehicle-mounted radars, cameras, and lidars, including information such as distance, speed, and moving direction.

[0072] It should be further explained that environmental data may include real-time environmental data collected by the system through communication with surrounding vehicles and road infrastructure, including but not limited to road surface temperature, rainfall, regional speed limit, lane where the vehicle is located, vehicle density, vehicle speed, and traffic congestion.

[0073] It should be noted that the executor of this embodiment is a driving reminder device, wherein the driving reminder device has functions such as data processing, data communication and program running. The driving reminder device can be an integrated controller, a control computer and other devices, and of course it can also be other devices with similar functions, and this embodiment does not limit this.

[0074] Step S20: performing a fusion analysis based on the vehicle driving data and the environment data to obtain driving perception parameters.

[0075] It should be understood that the fusion analysis of the self-vehicle driving data and the environmental data may be to fuse the data collected by V2X communication with the data of the vehicle-mounted radar and sensors.

[0076] It is understandable that the driving perception parameters may include the current environment state and the current traffic state.

[0077] Step S30: adjusting the alarm limit of the vehicle according to the driving perception parameter to obtain a reference speed limit.

[0078] It is understandable that the reference speed limit may be the speed limit of the vehicle after adjusting the alarm limit of the vehicle. The reference speed limit may include a maximum speed limit and a minimum speed limit. The speed limit after adjustment may be to increase the maximum speed limit according to the driving perception parameters or to lower the maximum speed limit.

[0079] It should be understood that the driving perception parameters may also include the regional speed limit of the area where the vehicle is currently located. The regional speed limit can be obtained by sensing and acquiring information about surrounding speed limit signs, electronic speed limit signs, temporary speed limit signs, etc.

[0080] It should be noted that the adjusting the alarm limit of the vehicle according to the driving perception parameters to obtain the reference speed limit includes: when the driving perception parameters meet the preset parameter restriction conditions, obtaining the regional speed limit parameters of the area where the vehicle is located; adjusting the alarm limit of the vehicle according to the regional speed limit parameters to obtain the reference speed limit.

[0081] It is understandable that the system adaptively adjusts the alarm limit based on the environmental information obtained by the vehicle's sensors and V2X. For example, in rainy and snowy weather, the local temporary speed limit information is obtained first. If there is no updated temporary speed limit information locally, the alarm speed threshold is updated and adjusted according to the limit calibrated by the system.

[0082] It should be understood that the preset weather parameter restriction conditions can be to judge whether the current weather will affect the driving field of vision based on the driving perception parameters, and whether there is a danger of low-speed driving in the current environment (for example, rainy and snowy weather that lasts for a long time and will become increasingly difficult to drive). If it affects the driving field of vision and there is a danger of low-speed driving in the current environment, it is considered that the driving perception parameters meet the preset conditions.

[0083] Among them, it should be noted that the alarm limit value of the vehicle is adjusted according to the regional speed limit parameter to obtain the reference speed limit, which can be to obtain the regional speed limit parameter, and further determine whether the regional speed limit parameter is temporarily adjusted and updated. If updated, 120% of the value of the latest regional speed limit parameter is used as the reference speed limit; if not updated or the specific regional speed limit is not marked in the area, the speed limit set for the driving environment and driving lane of the vehicle in the conventional traffic rules is used as the regional speed limit parameter, and 120% of the regional speed limit parameter is used as the reference speed limit.

[0084] Step S40: Providing driving reminders based on the reference speed limit and the lane in which the vehicle is traveling.

[0085] It is understandable that driving reminders include low-speed driving reminders and avoidance driving reminders.

[0086] It should be understood that the driving reminder based on the reference speed limit and the lane of the own vehicle can be that when the lane of the own vehicle is a fast lane and the speed of the own vehicle is lower than the reference speed limit, the front road parameters and the right road parameters are obtained, and a low-speed driving reminder is made according to the front road parameters and the right road parameters; when the own vehicle is in a preset lane, the rear vehicle speed parameters and the speed parameters of the own vehicle are obtained, and an avoidance driving reminder is made according to the rear vehicle speed parameters and the speed parameters of the own vehicle.

[0087] Among them, it is understandable that when the lane where the self-vehicle is traveling is the fast lane and the speed of the self-vehicle is lower than the reference speed limit, it may be that the self-vehicle occupies the fast lane but the driving speed is relatively slow, which will affect other vehicles driving fast in the fast lane and also affect other vehicles overtaking and changing lanes in the fast lane. At this time, driving reminders are needed for the driver of the self-vehicle.

[0088] It should be further explained that when the driving lane of the own vehicle is a fast lane and the speed of the own vehicle is lower than the reference speed limit, the road parameters ahead and the road parameters on the right are obtained, and a low-speed driving reminder is given according to the road parameters ahead and the road parameters on the right, including: when the driving lane of the own vehicle is a fast lane and the speed of the own vehicle is lower than the reference speed limit, the road parameters ahead and the road parameters on the right are obtained; when the road parameters ahead and the road parameters on the right both meet the preset conditions, an acceleration and / or lane change reminder is given; when the road parameters ahead meet the preset conditions and the road parameters on the right do not meet the preset conditions, an acceleration reminder is given; when the road parameters ahead do not meet the preset conditions and the road parameters on the right meet the preset conditions, a lane change reminder is given; when the road parameters ahead and the road parameters on the right both do not meet the preset conditions, driving is maintained at the current speed.

[0089] It is understandable that when both the front road parameters and the right road parameters satisfy the preset conditions, it means that there are no obstacles on the front road and the side road can be changed.

[0090] Among them, it can be understood that when the vehicle has been in the overtaking lane or the fast lane and the speed is lower than the minimum speed limit for a long time, and the road ahead meets the conditions for acceleration or there are conditions for changing lanes on the right side of the road, real-time information and prompts are provided to the driver through the instruments, displays and sounds in the car.

[0091] It should be understood that the real-time information and prompts provided to the driver can be determined based on the instruments, display screens and sounds in the vehicle to determine whether the driver can change lanes or accelerate at this time.

[0092] In the specific implementation, if the vehicle has been in the overtaking lane or the fast lane and the speed has been lower than the minimum speed limit for a long time, and the road ahead meets the conditions for acceleration or there are conditions for changing lanes on the right side of the road, the driver will be prompted to accelerate or change lanes in time through the instruments, display screens and sounds in the vehicle.

[0093] In the specific implementation, if the vehicle has been in the overtaking lane or the fast lane and the speed has been lower than the minimum speed limit for a long time, and the road ahead meets the conditions for acceleration but there are no conditions for changing lanes on the right side of the road, the driver will be prompted to accelerate in time through the instruments, display screens and voices in the vehicle.

[0094] In the specific implementation, if the vehicle has been in the overtaking lane or the fast lane and the speed has been lower than the minimum speed limit for a long time, and the road ahead does not meet the conditions for acceleration but there are conditions for changing lanes on the right side of the road, the driver will be prompted to change lanes in time through the instruments, display screens and voices in the vehicle.

[0095] It should be further explained that, when the own vehicle is in a preset lane, obtaining the rear vehicle speed parameter and the own vehicle speed parameter, and giving an evasive driving reminder based on the rear vehicle speed parameter and the own vehicle speed parameter, includes: when the own vehicle is in a preset lane, obtaining the rear vehicle speed parameter and the own vehicle speed parameter, the preset lane includes a fast lane and an overtaking lane; obtaining a speed difference based on the rear vehicle speed parameter and the own vehicle speed parameter; when the speed difference meets the preset speed condition and the rear vehicle speed parameter is less than the regional speed limit parameter of the area where the own vehicle is located, and the lane changing condition and the acceleration condition are met, giving an acceleration reminder; when the speed difference meets the preset speed condition and the rear vehicle speed parameter is greater than the regional speed limit parameter of the area where the own vehicle is located, and the lane changing condition and the acceleration condition are not met, giving an acceleration reminder; when the speed difference meets the preset speed condition and the rear vehicle speed parameter is greater than the regional speed limit parameter of the area where the own vehicle is located, and the lane changing condition and the acceleration condition are not met, giving a lane changing reminder.

[0096] It is understandable that the preset lane may be a fast lane or an overtaking lane; and the preset speed condition may be 20 kph.

[0097] It is understandable that when the vehicle is in the fast lane or the overtaking lane and the difference between the speed of the rear vehicle and the speed of the vehicle is greater than 20 kph (this embodiment is not limited to this and can be adjusted according to actual conditions), a judgment is made based on the speed limit of the current road conditions, and real-time information and prompts are provided to the driver through the instruments, display screens and sounds in the vehicle.

[0098] In the specific implementation, when the vehicle is in the fast lane or the overtaking lane and the difference between the speed of the vehicle behind and the speed of the vehicle is greater than 20kph, if the speed of the vehicle behind is less than the maximum speed limit in the current environment and the road ahead is good and allows acceleration, and there are conditions for changing lanes on the right side of the road, the driver will be prompted to accelerate or change lanes in time through the instrument, display and sound in the car.

[0099] In the specific implementation, when the vehicle is in the fast lane or the overtaking lane and the difference between the speed of the vehicle behind and the speed of the vehicle is greater than 20kph, if the speed of the vehicle behind is greater than the maximum speed limit in the current environment or the road conditions ahead do not allow acceleration, and there are conditions for changing lanes on the right side of the road, the driver will be prompted to change lanes in time through the instrument, display and sound in the car.

[0100] In the specific implementation, when the vehicle is in the fast lane or the overtaking lane and the difference between the speed of the vehicle behind and the speed of the vehicle is greater than 20kph, if the speed of the vehicle behind is less than the maximum speed limit in the current environment and the road ahead is good and allows acceleration, and there is no lane change condition on the right side of the road, the driver will be prompted to accelerate in time through the instrument, display and sound in the car.

[0101] It is worth mentioning that because vehicles occupy the fast lane or overtaking lane at low speeds, this kind of man-made unnecessary congestion greatly affects the commuting efficiency of the road. If you drive according to the minimum speed limit of the fast lane or overtaking lane, it will increase the risk of traffic accidents such as loss of control of the vehicle.

[0102] It is worth mentioning that for vehicles equipped with an automated driving assistance system, after the driver receives a prompt, the system can ask the driver to confirm by pressing buttons or levers, and then the automated driving assistance system will complete the acceleration or automatic lane change operations.

[0103] This embodiment analyzes the environmental data and driving data collected during driving to determine whether the external driving environment and other traffic speeds have an impact on the vehicle speed limit, further adjusts the speed alarm limit, and provides corresponding lane change or acceleration reminders to the driver based on the vehicle's driving lane and the adjusted reference speed limit, thereby improving the commuting efficiency on highways and expressways and avoiding the risk of traffic accidents such as loss of control of the vehicle due to unnecessary congestion caused by humans.

[0104] refer to Figure 3 , Figure 3 FIG. 4 is a flow chart of a second embodiment of a driving reminder method according to the present invention.

[0105] Based on the first embodiment, the driving reminder method of this embodiment includes, in step S20:

[0106] Step S21: obtaining a full view of the driving state of the vehicle according to the vehicle driving data and the environment data.

[0107] It is understandable that the full view of the self-vehicle driving state may be a description of the surrounding environment when the self-vehicle is driving and a comprehensive state of the self-vehicle driving.

[0108] It should be understood that the driving data such as the position, speed, acceleration, and direction of the self-vehicle are integrated and processed with the environmental data such as the position, speed, acceleration, and direction of the surrounding vehicles, as well as environmental information such as road conditions, traffic signs, and weather conditions, so as to obtain a full view of the self-vehicle driving status. This full view can include information such as vehicle distribution, speed distribution, acceleration distribution, lane distribution, traffic sign recognition, pedestrian recognition, and obstacle recognition around the self-vehicle, which fully reflects the surrounding environment and the self-vehicle status when the self-vehicle is driving.

[0109] Step S22: Evaluate the vehicle environment state based on the vehicle driving full view to obtain the current environment state.

[0110] It is understandable that the current environment state may include a normal state and an affected state.

[0111] It should be understood that the need to reduce the speed limit on the expressway may be determined based on the collected environmental data (e.g., if the rainfall is very heavy and affects the driver's vision, the temperature is below zero and there is a certain amount of rainfall resulting in snow and ice on the road).

[0112] It should be noted that the collected rainfall can be used to determine whether the rainfall will affect the driver's field of vision, and the collected environmental images and temperature can be used to determine the current weather, and based on the current weather, it can be determined whether the speed limit of the fast lane should be lowered.

[0113] It should be noted that the evaluation of the vehicle environment state based on the vehicle driving full view to obtain the current environment state includes: judging whether the environment data will affect the driving field of view based on the vehicle driving full view and the environment data; when the driving field of view is affected, the speed limit of the fast lane is reduced to obtain the current environment state as an affected state; when the driving field of view is not affected, the acquisition of the vehicle driving data and the environment data is repeated.

[0114] It is understandable that the full view of the self-vehicle driving may be a comprehensive view of the current environment and traffic conditions of the self-vehicle.

[0115] It should be noted that during the driving process of the vehicle, the vehicle environment data and the vehicle driving data can be continuously obtained, and the various data are used to determine whether to issue a reminder.

[0116] Step S23: Evaluate the traffic status of the vehicle according to the traffic flow data and the driving data of the vehicle in the environmental data to obtain the current traffic status.

[0117] It should be noted that the assessment of the traffic status of the vehicle may include the assessment of the safety risk of the vehicle and the assessment of traffic fluidity; by comprehensively analyzing the environmental conditions and traffic conditions through the collected data, the driving status of the vehicle can be judged based on the two and a corresponding reminder strategy can be obtained.

[0118] It is understandable that the current traffic status can be based on analyzing traffic flow information and the speed of the vehicle behind to determine whether there is a safety risk or it will affect traffic fluidity, such as the speed of the vehicle behind is significantly higher than the speed of the vehicle itself; and analyzing the traffic flow information and vehicle speed in front and on the side to determine whether it is suitable for acceleration or lane changing.

[0119] It should be noted that the evaluation of the traffic status of the own vehicle based on the traffic flow data and the own vehicle driving data in the environmental data to obtain the current traffic status includes: calculating the own vehicle safety risk value and traffic fluidity based on the traffic flow data in the environmental data and the rear vehicle driving parameters in the own vehicle driving data; obtaining the own vehicle adjustment status based on the front traffic flow data, side traffic flow data, front vehicle speed and side traffic speed in the own vehicle driving data; and obtaining the current traffic status based on the own vehicle safety risk value, the traffic fluidity and the own vehicle adjustment status.

[0120] Among them, it can be understood that the calculation of the self-vehicle safety risk value and traffic circulation according to the traffic flow data in the environmental data and the rear vehicle driving parameters in the self-vehicle driving data can be to obtain the traffic circulation of the self-vehicle by obtaining the number of vehicles around the self-vehicle per unit time, and the traffic circulation can include the side traffic circulation; the self-vehicle safety risk value can be calculated according to the rear vehicle speed and the rear vehicle distance to obtain the rear vehicle safety risk value, and then calculated according to the side vehicle speed and the side distance to obtain the side safety risk value; and the rear vehicle safety risk value and the side safety risk value are used as the self-vehicle safety risk value;

[0121] Among them, it should be emphasized that traffic fluidity can also refer to side traffic flow; the vehicle safety risk value can also refer to the rear vehicle safety risk value.

[0122] Among them, it should be further explained that the adjustment state of the vehicle can be obtained based on the front traffic flow data, the side traffic flow data, the front vehicle speed and the side traffic speed in the driving data of the vehicle. It can be judged by the traffic flow data and vehicle speed of the rear and side vehicles whether the vehicle can adjust the speed or the lane. The adjustment state of the vehicle can include adjustable and non-adjustable.

[0123] It should be noted that the current traffic state obtained according to the vehicle safety risk value, the traffic flow and the vehicle adjustment state may include a normal state and a state to be adjusted.

[0124] Among them, in the specific implementation, if the safety risk value of the own vehicle is high, the traffic fluidity is high, and the own vehicle cannot be adjusted, then the current traffic state is normal; if the safety risk value of the own vehicle is high, the traffic fluidity is high, and the own vehicle can be adjusted, then the current traffic state is to be adjusted; if the safety risk value of the own vehicle is high, the traffic fluidity is low, and the own vehicle cannot be adjusted, then the current traffic state is normal; if the safety risk value of the own vehicle is high, the traffic fluidity is low, and the own vehicle can be adjusted, then the current traffic state is normal; if the safety risk value of the own vehicle is low, the traffic fluidity is high, and the own vehicle cannot be adjusted, then the current traffic state is normal; if the safety risk value of the own vehicle is low, the traffic fluidity is high, and the own vehicle cannot be adjusted, then the current traffic state is normal; if the safety risk value of the own vehicle is low, the traffic fluidity is high, and the own vehicle can be adjusted, then the current traffic state is to be adjusted; if the safety risk value of the own vehicle is low, the traffic fluidity is low, and the own vehicle cannot be adjusted, then the current traffic state is normal; if the safety risk value of the own vehicle is low, the traffic fluidity is low, and the own vehicle can be adjusted, then the current traffic state is to be adjusted.

[0125] This embodiment uses V2X technology to collect and exchange real-time traffic information, road surface temperature, rainfall information, radar detection and other data on the road to obtain a full view of the driving status of the vehicle, and further analyzes the current environmental status and current traffic status of the vehicle, thereby obtaining comprehensive perception parameters of the vehicle. Based on more comprehensive perception parameters of the vehicle, it can adaptively adjust the alarm limit when the vehicle speed is not too fast in extreme weather, making the speed reminder more intelligent under extreme road conditions; when the vehicle is driving normally, but the speed of the vehicle behind is much faster than the speed of the vehicle, an alarm reminder is issued to prompt the driver to change lanes or accelerate, thereby improving the commuting efficiency of highways and expressways.

[0126] Reference Figure 4 , Figure 4 It is a structural block diagram of the first embodiment of the driving reminder device of the present invention.

[0127] like Figure 4 As shown, the driving reminder device proposed in the embodiment of the present invention includes:

[0128] The parameter acquisition module 10 is used to acquire the self-vehicle driving data and environmental data;

[0129] A data analysis module 20, configured to perform a fusion analysis based on the self-vehicle driving data and the environmental data to obtain driving perception parameters;

[0130] A driving reminder module 30, used to adjust the alarm limit of the vehicle according to the driving perception parameter to obtain a reference speed limit;

[0131] The driving reminder module 30 is used to provide driving reminders based on the reference speed limit and the lane in which the vehicle is traveling.

[0132] This embodiment analyzes the environmental data and driving data collected during driving to determine whether the external driving environment and other traffic speeds have an impact on the vehicle speed limit, further adjusts the speed alarm limit, and provides corresponding lane change or acceleration reminders to the driver based on the vehicle's driving lane and the adjusted reference speed limit, thereby improving the commuting efficiency on highways and expressways and avoiding the risk of traffic accidents such as loss of control of the vehicle due to unnecessary congestion caused by humans.

[0133] In one embodiment, the parameter acquisition module 10 is further used to start the V2X functional unit of the vehicle based on the start instruction;

[0134] Acquiring self-vehicle driving data based on the V2X functional unit, wherein the self-vehicle driving data includes driving parameters and relative obstacle parameters;

[0135] Acquiring environmental data based on the V2X functional unit, the environmental data including a lane for the vehicle, environmental parameters, traffic parameters, and regional speed limit parameters;

[0136] In one embodiment, the data analysis module 20 is further used to obtain a full view of the driving state of the vehicle according to the driving data of the vehicle and the environmental data;

[0137] Evaluate the vehicle environment state based on the vehicle driving full view to obtain the current environment state;

[0138] The traffic state of the vehicle is evaluated according to the traffic flow data and the driving data of the vehicle in the environmental data to obtain the current traffic state.

[0139] In one embodiment, the data analysis module 20 is further used to determine whether the environmental data will affect the driving field of view based on the self-vehicle driving full view and the environmental data;

[0140] When the driving vision is affected, the speed limit of the fast lane is reduced, and the current environment state is obtained as an affected state;

[0141] When the driving field of view is not affected, the process of obtaining the self-vehicle driving data and the environmental data is repeated.

[0142] In one embodiment, the data analysis module 20 is further used to calculate the safety risk value of the vehicle and the traffic flow according to the traffic flow data in the environmental data and the driving parameters of the following vehicle in the driving data of the vehicle;

[0143] Obtaining an adjustment state of the vehicle according to the front traffic flow data, the side traffic flow data, the front vehicle speed and the side traffic speed in the driving data of the vehicle;

[0144] The current traffic state is obtained according to the vehicle safety risk value, the traffic flow and the vehicle adjustment state.

[0145] In one embodiment, the driving reminder module 30 is further used to obtain the regional speed limit parameter of the area where the vehicle is located when the driving perception parameter meets the preset parameter restriction condition;

[0146] The alarm limit of the vehicle is adjusted according to the regional speed limit parameter to obtain a reference speed limit;

[0147] In one embodiment, the driving reminder module 30 is further used to obtain the front road parameters and the right road parameters when the vehicle driving lane is a fast lane and the vehicle speed is lower than the reference speed limit, and to provide a low-speed driving reminder according to the front road parameters and the right road parameters;

[0148] When the own vehicle is in a preset lane, a rear vehicle speed parameter and a own vehicle speed parameter are obtained, and an avoidance driving reminder is performed according to the rear vehicle speed parameter and the own vehicle speed parameter.

[0149] In one embodiment, the driving reminder module 30 is further used to obtain the front road parameters and the right road parameters when the vehicle driving lane is a fast lane and the vehicle speed is lower than the reference speed limit;

[0150] When the parameters of the road ahead and the road on the right meet the preset conditions, an acceleration and / or lane change reminder is performed;

[0151] When the road parameters ahead meet the preset conditions and the road parameters on the right do not meet the preset conditions, an acceleration reminder is given;

[0152] When the road parameters ahead do not meet the preset conditions and the road parameters on the right meet the preset conditions, a lane change reminder is issued;

[0153] When the front road parameters and the right road parameters do not meet the preset conditions, the vehicle maintains the current speed for driving.

[0154] In one embodiment, the driving reminder module 30 is further used to obtain the rear vehicle speed parameter and the vehicle speed parameter of the vehicle when the vehicle is in a preset lane, and the preset lane includes a fast lane and an overtaking lane;

[0155] Obtaining a speed difference according to the rear vehicle speed parameter and the own vehicle speed parameter;

[0156] When the speed difference meets the preset speed condition and the speed parameter of the rear vehicle is less than the regional speed limit parameter of the area where the vehicle is located and the lane change condition and acceleration condition are met, an acceleration or lane change reminder is performed;

[0157] When the speed difference meets the preset speed condition and the speed parameter of the rear vehicle is greater than the regional speed limit parameter of the area where the vehicle is located and the lane change condition is not met and the acceleration condition is met, an acceleration reminder is given;

[0158] When the speed difference meets the preset speed condition and the rear vehicle speed parameter is greater than the regional speed limit parameter of the area where the vehicle is located and the lane change condition is met and the acceleration condition is not met, a lane change reminder is performed.

[0159] In addition, to achieve the above-mentioned purpose, the present invention also proposes a driving reminder device, which includes: a memory, a processor, and a driving reminder program stored in the memory and executable on the processor, and the driving reminder program is configured to implement the steps of the driving reminder method described above.

[0160] Since the present driving reminder device adopts all the technical solutions of all the above-mentioned embodiments, it has at least all the beneficial effects brought by the technical solutions of the above-mentioned embodiments, which will not be described one by one here.

[0161] In addition, an embodiment of the present invention further proposes a storage medium, on which a driving reminder program is stored. When the driving reminder program is executed by a processor, the steps of the driving reminder method described above are implemented.

[0162] Since the storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.

[0163] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0164] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0165] In addition, for technical details not described in detail in this embodiment, reference can be made to the driving reminder method provided in any embodiment of the present invention, and will not be repeated here.

[0166] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0167] It should be understood that, although the various steps in the flowchart in the embodiment of the present application are displayed in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and it can be performed in other orders. Moreover, at least a portion of the steps in the figure may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and their execution order is not necessarily performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0168] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0169] 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 invention 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 a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0170] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A driving reminder method, characterized in that: The driving reminder method comprises: Obtain self-driving data and environmental data; Performing a fusion analysis based on the self-vehicle driving data and the environmental data to obtain driving perception parameters, wherein the driving perception parameters include a current environmental state and a current traffic state; The alarm limit of the vehicle is adjusted according to the driving perception parameter to obtain a reference speed limit; Providing driving reminders based on the reference speed limit and the lane in which the vehicle is traveling; The obtaining of the vehicle driving data and the environment data includes: Starting the V2X functional unit of the vehicle based on the start command; Acquiring self-vehicle driving data based on the V2X functional unit, wherein the self-vehicle driving data includes driving parameters and relative obstacle parameters; Acquiring environmental data based on the V2X functional unit, the environmental data including a lane for the vehicle, environmental parameters, traffic parameters, and regional speed limit parameters; The step of performing fusion analysis on the self-vehicle driving data and the environmental data to obtain driving perception parameters includes: Obtaining a full view of the driving state of the vehicle according to the driving data of the vehicle and the environmental data; Evaluate the vehicle environment state based on the vehicle driving full view to obtain the current environment state; The traffic state of the vehicle is evaluated according to the traffic flow data and the driving data of the vehicle in the environmental data to obtain the current traffic state.

2. The driving reminder method according to claim 1, characterized in that: The evaluating the vehicle environment state based on the vehicle driving full view to obtain the current environment state includes: Determining whether the environmental data will affect the driving field of view according to the full driving view of the vehicle and the environmental data; When the driving vision is affected, the speed limit of the fast lane is reduced, and the current environment state is obtained as an affected state; When the driving field of view is not affected, the process of obtaining the self-vehicle driving data and the environmental data is repeated.

3. The driving reminder method according to claim 1, characterized in that: The evaluating the traffic state of the vehicle according to the traffic flow data and the driving data of the vehicle in the environmental data to obtain the current traffic state includes: Calculate the safety risk value of the vehicle and the traffic flow according to the traffic flow data in the environmental data and the driving parameters of the following vehicle in the driving data of the vehicle; Obtaining an adjustment state of the vehicle according to the front traffic flow data, the side traffic flow data, the front vehicle speed and the side traffic speed in the driving data of the vehicle; The current traffic state is obtained according to the vehicle safety risk value, the traffic flow and the vehicle adjustment state.

4. The driving reminder method according to claim 1, characterized in that: The step of adjusting the alarm limit of the vehicle according to the driving perception parameter to obtain a reference speed limit includes: When the driving perception parameter meets the preset parameter restriction condition, obtaining the regional speed limit parameter of the area where the vehicle is located; The alarm limit of the vehicle is adjusted according to the regional speed limit parameter to obtain a reference speed limit; The driving reminder based on the reference speed limit and the lane of the vehicle, the driving reminder including low-speed driving reminder and avoidance driving reminder, includes: When the vehicle is traveling in a fast lane and the vehicle speed is lower than a reference speed limit, obtaining a front road parameter and a right road parameter, and providing a low-speed driving reminder according to the front road parameter and the right road parameter; When the own vehicle is in a preset lane, a rear vehicle speed parameter and a own vehicle speed parameter are obtained, and an avoidance driving reminder is performed according to the rear vehicle speed parameter and the own vehicle speed parameter.

5. The driving reminder method according to claim 4, characterized in that: When the driving lane of the vehicle is a fast lane and the speed of the vehicle is lower than the reference speed limit, obtaining the parameters of the road ahead and the road on the right, and providing a low-speed driving reminder according to the parameters of the road ahead and the road on the right, includes: When the vehicle is traveling in a fast lane and the vehicle speed is lower than the reference speed limit, the parameters of the road ahead and the road on the right are obtained; When the parameters of the road ahead and the road on the right meet the preset conditions, an acceleration and / or lane change reminder is performed; When the road parameters ahead meet the preset conditions and the road parameters on the right do not meet the preset conditions, an acceleration reminder is given; When the road parameters ahead do not meet the preset conditions and the road parameters on the right meet the preset conditions, a lane change reminder is issued; When the front road parameters and the right road parameters do not meet the preset conditions, the vehicle maintains the current speed for driving.

6. The driving reminder method according to claim 4, characterized in that: When the vehicle is in a preset lane, obtaining the rear vehicle speed parameter and the vehicle speed parameter of the vehicle, and performing avoidance driving reminder according to the rear vehicle speed parameter and the vehicle speed parameter of the vehicle, includes: When the vehicle is in a preset lane, obtaining a rear vehicle speed parameter and a vehicle speed parameter of the vehicle, wherein the preset lane includes a fast lane and an overtaking lane; Obtaining a speed difference according to the rear vehicle speed parameter and the own vehicle speed parameter; When the speed difference meets the preset speed condition and the speed parameter of the rear vehicle is less than the regional speed limit parameter of the area where the vehicle is located and the lane change condition and acceleration condition are met, an acceleration or lane change reminder is performed; When the speed difference meets the preset speed condition and the speed parameter of the rear vehicle is greater than the regional speed limit parameter of the area where the vehicle is located and the lane change condition is not met and the acceleration condition is met, an acceleration reminder is given; When the speed difference meets the preset speed condition and the rear vehicle speed parameter is greater than the regional speed limit parameter of the area where the vehicle is located and the lane change condition is met and the acceleration condition is not met, a lane change reminder is performed.

7. A driving reminder device, characterized in that: The driving reminder device comprises: Parameter acquisition module, used to obtain self-vehicle driving data and environmental data; A data analysis module, configured to perform a fusion analysis based on the self-vehicle driving data and the environmental data to obtain driving perception parameters, wherein the driving perception parameters include a current environmental state and a current traffic state; A driving reminder module, used to adjust the alarm limit of the vehicle according to the driving perception parameter to obtain a reference speed limit; The driving reminder module is used to provide driving reminders based on the reference speed limit and the lane in which the vehicle is traveling; The parameter acquisition module is further used to start the V2X functional unit of the vehicle based on the startup instruction; acquire the driving data of the vehicle based on the V2X functional unit, the driving data of the vehicle including driving parameters and relative obstacle parameters; acquire environmental data based on the V2X functional unit, the environmental data including the driving lane of the vehicle, environmental parameters, traffic parameters and regional speed limit parameters; The data analysis module is also used to obtain a full view of the vehicle's driving state based on the vehicle's driving data and the environmental data; evaluate the vehicle's environmental state based on the full view of the vehicle's driving to obtain the current environmental state; and evaluate the vehicle's traffic state based on the traffic flow data in the environmental data and the vehicle's driving data to obtain the current traffic state.

8. A driving reminder device, characterized in that: The device comprises: a memory, a processor, and a driving reminder program stored in the memory and executable on the processor, wherein the driving reminder program is configured to implement the driving reminder method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium stores a driving reminder program, and when the driving reminder program is executed by the processor, the driving reminder method according to any one of claims 1 to 6 is implemented.

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