Driving reminding method, device and equipment and computer readable storage medium

Abstract

The invention relates to the field of vehicle control, in particular to a driving reminding method, device and equipment and a computer readable storage medium. The driving environment data of the target vehicle can be acquired; determining whether the target vehicle is in a preset dangerous road environment or not according to the driving environment data; the dangerous road environment comprises the environment of an intersection without a signal lamp; if it is determined that the target vehicle is in the dangerous road environment, the driving state of the target vehicle is obtained; determining a target reminding strategy for the target vehicle according to the driving state; and carrying out driving reminding on the target vehicle according to the target reminding strategy. The safety of vehicle driving can be effectively improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle control technology, and in particular to a driving reminder method, device, equipment and computer-readable storage medium. Background Art

[0002] Intersections without green lights have always been a high-incidence area for traffic accidents. At such intersections, the uncertainty of vehicle driving increases due to the lack of traffic light instructions. When it is dark or there are no street lights, the driver's vision is greatly affected, and the following two situations are prone to cause accidents: First, the driver may not recognize the existence of the intersection in time and continue to drive at the original speed. When he suddenly finds the intersection, he has no time to react; second, although he recognizes the intersection, he does not slow down in time or observe the road conditions carefully for various reasons, such as the driver may be distracted or his vision is blocked. At present, the safety guarantee for intersections without green lights mainly relies on the driver's experience and attention, but this cannot completely prevent accidents.

[0003] Therefore, there is a need for a solution that can improve driving safety in dangerous road environments such as intersections without traffic lights. Summary of the invention

[0004] In view of this, the embodiments of the present application provide a driving reminder method, device, equipment and computer storage medium, which can solve the problem of high driving risk in dangerous road environments such as intersections without traffic lights.

[0005] In a first aspect, an embodiment of the present application provides a driving reminder method, the driving reminder method comprising: Obtain driving environment data of the target vehicle; Determine, based on the driving environment data, whether the target vehicle is in a preset dangerous road environment; the dangerous road environment includes an environment where there is an intersection without a traffic light; If it is determined that the target vehicle is in the dangerous road environment, obtaining the driving status of the target vehicle; Determining a target reminder strategy for the target vehicle according to the driving status; According to the target reminder strategy, a driving reminder is provided to the target vehicle.

[0006] By adopting the above technical scheme, it is determined based on the driving environment data whether the target vehicle is in a dangerous road environment including an environment with an intersection without traffic lights, so as to determine whether it is necessary to provide driving reminders to the target vehicle. When it is determined that the target vehicle is in a dangerous road environment, a reminder strategy is further determined based on the driving status of the target vehicle, which can improve the effectiveness of the reminder and further ensure driving safety in dangerous road environments.

[0007] In some embodiments, the driving environment data includes vehicle position information of the target vehicle; the method further includes: Determining a first distance between the target vehicle and an intersection without a traffic light according to the vehicle position information and preset map data; If the first distance is less than a preset distance threshold, it is determined that the target vehicle is in the dangerous road environment.

[0008] In some embodiments, the driving environment data includes an image of the external environment of the target vehicle; the method further includes: Performing image recognition on the vehicle exterior environment image to determine whether the vehicle exterior environment image includes an intersection without a traffic light; If the external environment image includes an intersection without a traffic light, it is determined that the target vehicle is in the dangerous road environment.

[0009] In some embodiments, the driving environment data includes an image of the external environment of the target vehicle; the method further includes: Performing image recognition on the vehicle exterior environment image to determine whether the driving environment image includes an intersection without a traffic light; If the driving environment image includes an intersection without a traffic light, determining whether the driving environment image includes a visual blind spot and / or visibility of the environment in which the target vehicle is located; If the driving environment image includes the visual blind area and / or the visibility is less than the preset threshold, it is determined that the target vehicle is in the dangerous road environment.

[0010] In some embodiments, the driving status includes the speed of the target vehicle; the method further includes: Comparing the vehicle speed with a preset first speed threshold and a preset second speed threshold respectively; the first speed threshold is greater than the second speed threshold; If the vehicle speed is greater than the second speed threshold and less than the first speed threshold, using sensory reminder as the target reminder strategy; If the vehicle speed is greater than or equal to a first speed threshold, auxiliary deceleration is used as the target reminder strategy.

[0011] In some embodiments, the method further comprises: Determining an estimated response time of the target vehicle after receiving a reminder based on the driving environment data and the driving status; The target reminder strategy is determined according to the estimated response time.

[0012] In some embodiments, the driving state includes the speed and braking performance of the target vehicle; the driving environment data includes the road surface condition of the road where the target vehicle is located; and the method further includes: Determine a second distance between the target vehicle and the dangerous road environment according to the driving environment data; Calculating the estimated response time according to the second distance, the vehicle speed, the vehicle braking performance and the road condition; If the estimated response time is less than the second time threshold and greater than a preset first time threshold, using sensory reminder as the target reminder strategy; the first time threshold is less than the second time threshold; If the estimated response time is less than or equal to the first time threshold, auxiliary deceleration is used as the target reminder strategy.

[0013] In some embodiments, the target reminder strategy includes assisted deceleration; the method further includes: When it is determined that the target vehicle leaves the dangerous road environment and / or the target vehicle actively accelerates, it is determined that the target reminder strategy is invalid.

[0014] In a second aspect, an embodiment of the present application further provides a driving reminder device, the driving reminder device comprising: A first acquisition module, used to acquire driving environment data of a target vehicle; A first determination module is used to determine whether the target vehicle is in a preset dangerous road environment according to the driving environment data; the dangerous road environment includes an environment where there is an intersection without a traffic light; A second acquisition module is used to acquire the driving state of the target vehicle if it is determined that the target vehicle is in the dangerous road environment; A second determination module is used to determine a target reminder strategy for the target vehicle according to the driving state; The reminder module is used to provide driving reminders to the target vehicle according to the target reminder strategy.

[0015] In a third aspect, an embodiment of the present application further provides a driving reminder device, comprising a processor and a memory, wherein the memory is used to store instructions, and the processor is used to call the instructions in the memory so that the driving reminder device executes the driving reminder method described in the first aspect.

[0016] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions. When the computer instructions are executed on a processor, the processor executes the driving reminder method as described in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The present invention is a flowchart of the steps of a driving reminder method provided according to an embodiment of the present application.

[0018] Figure 2 for Figure 1 A sub-flow chart of one step of the driving reminder method shown.

[0019] Figure 3 for Figure 1 A sub-flow chart of one step of the driving reminder method shown.

[0020] Figure 4 for Figure 1 A sub-flow chart of one step of the driving reminder method shown.

[0021] Figure 5 for Figure 1 A sub-flow chart of one step of the driving reminder method shown.

[0022] Figure 6 for Figure 1 A sub-flow chart of one step of the driving reminder method shown.

[0023] Figure 7 for Figure 1 A sub-flow chart of one step of the driving reminder method shown.

[0024] Figure 8 It is a schematic diagram of the structure of a driving reminder device provided according to an embodiment of the present application.

[0025] Fig. 9 It is a schematic diagram of the structure of a driving reminder device provided according to one embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to more clearly understand the above-mentioned purposes, features and advantages of the present application, the present application is described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be noted that the implementation methods of the present application and the features in the implementation methods can be combined with each other without conflict.

[0027] In the following description, many specific details are set forth to facilitate a full understanding of the present application. The described implementations are only part of the implementations of the present application, rather than all the implementations.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0029] It should be further noted that, in this article, the terms "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0030] In this application, "at least one" means one or more, and "more" means two or more than two. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The terms "first", "second", "third", "fourth", etc. (if any) in the specification, claims and drawings of this application are used to distinguish similar objects, rather than to describe a specific order or sequence.

[0031] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0032] There are some relatively dangerous road environments, where traffic accidents are prevalent, and the personal and property safety of drivers and pedestrians are threatened. For example, at an intersection without traffic lights, the uncertainty of vehicle driving increases due to the lack of traffic light instructions. For example, the driver may not recognize the existence of the intersection in time and continue to drive at the original speed. When he suddenly finds the intersection, he will not have time to react. Furthermore, if there is a visual blind spot at dark or at an intersection without traffic lights, the driver's line of sight will be affected on the basis of the lack of signal guidance, thereby further increasing the risk of driving. For example, the driver cannot observe the road conditions clearly and / or cannot slow down in time due to unclear vision, which leads to an accident.

[0033] In the related art, safety assurance in dangerous road environments such as intersections without traffic lights generally relies mainly on the driver's experience and attention, which has the problem of unsatisfactory effectiveness.

[0034] Therefore, a more effective driving reminder solution is needed for dangerous road environments such as intersections without traffic lights.

[0035] In view of this, the embodiments of the present application provide a driving reminder method, device, equipment and computer-readable storage medium, which can more effectively ensure driving safety in dangerous road environments such as intersections without traffic lights. The following uses the preset dangerous road environment as an example of an environment where there is an intersection without traffic lights. It can be understood that the dangerous road environment can also be other road driving environments, such as roads with sidewalks.

[0036] See also Figure 1 , is a flowchart of the steps of the driving reminder method provided by an embodiment of the present application. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

[0037] See also Figure 1 As shown, the driving reminder method may include the following steps: Step 101: Acquire driving environment data of a target vehicle.

[0038] Among them, the driving environment data is used to characterize the data of the environment in which the target vehicle is located. Specifically, it can be obtained by detecting the target vehicle and the environment in which the target vehicle is located through preset sensors. For example, it can include the geographical location of the environment in which the target vehicle is located, image data inside and outside the target vehicle, sound data, etc. The corresponding sensor can be a geographical location acquisition device, a camera, a recorder, etc., so as to realize the acquisition of the geographical location, image data inside and outside the target vehicle, and sound data.

[0039] Step 102: Determine whether the target vehicle is in a preset dangerous road environment based on the driving environment data; the dangerous road environment includes an environment where there is an intersection without traffic lights.

[0040] In order to improve the accuracy of judging whether the target vehicle is in a dangerous road environment, the driving environment data may include data of multiple dimensions, such as the location information of the target vehicle, the external environment data of the target vehicle, etc. Specifically, the location information of the target vehicle is matched with the preset road data to obtain whether there is a road without a signal light within a preset distance range of the target vehicle, and the target of the road without a signal light is identified for the external environment data, and whether the target vehicle is in a dangerous road environment is determined according to at least one of the matching result of the road data and the result of the target identification.

[0041] Optionally, taking into account the existence of a certain degree of danger in the environment of an intersection without traffic lights, if the current environment has factors that increase driving danger, such as poor visibility, blind spots, slippery road surface, etc., the driving danger of the target vehicle will be further increased. Therefore, in order to further improve the protection of the target vehicle, it is also possible to detect whether there are factors that increase driving danger, such as poor visibility, blind spots, slippery road surface, etc. in the current driving environment based on the driving environment data.

[0042] In some embodiments, the driving environment data includes vehicle position information of the target vehicle. Figure 2 As shown, the process of determining whether the target vehicle is in a preset dangerous road environment includes: Step 1021: Determine a first distance between the target vehicle and an intersection without a traffic light based on the vehicle position information and preset map data.

[0043] The preset map data includes location information of multiple roads and road facility configuration information of each road. The road facility configuration information includes road signal light configuration information, road monitoring camera setting information, etc. Optionally, the road condition information of each road in the map can also be obtained, wherein the road condition information includes road slipperiness, road congestion, etc.

[0044] According to the vehicle position information, the map data is searched to obtain the information of the road within the preset range of the target vehicle, and further according to the signal light configuration information of the road, the first distance between the target vehicle and the intersection without signal lights is determined. In particular, when there are multiple intersections without signal lights within the preset range of the target vehicle, the distance between the target vehicle and the intersection without signal lights closest to the target vehicle is determined as the first distance.

[0045] Step 1022: If the first distance is less than a preset distance threshold, it is determined that the target vehicle is in the dangerous road environment.

[0046] Among them, the distance threshold can be determined according to a preset safe braking distance. If the first distance is less than the preset distance threshold, it is determined that the target vehicle is in the dangerous road environment, thereby ensuring that the target vehicle is reminded before the target vehicle has sufficient time to react, thereby improving the effectiveness of safety assurance for the target vehicle.

[0047] In some embodiments, the driving environment data includes an image of the external environment of the target vehicle; the image of the external environment includes an image of the road in front of the target vehicle. Figure 3 As shown, the process of determining whether the target vehicle is in a preset dangerous road environment includes: Step 1023: Perform image recognition on the vehicle exterior environment image to determine whether the vehicle exterior environment image includes an intersection without a traffic light.

[0048] According to the preset image features of the signal light and the image features of the intersection, target detection is performed in the vehicle exterior environment image to determine whether the vehicle exterior environment image includes an intersection without a signal light. The intersection may be a crossroads, a T-junction, etc. The image features of the intersection include the features of the intersection sign and road markings.

[0049] Step 1024: If the external environment image includes an intersection without a traffic light, it is determined that the target vehicle is in the dangerous road environment.

[0050] If there is an intersection without a traffic light on the road ahead of the target vehicle, it indicates that the target vehicle may lack driving guidance information, and thus there is a driving danger, so it is determined that the target vehicle is in a dangerous road environment.

[0051] In some embodiments, the driving environment data includes an image of the external environment of the target vehicle; the image of the external environment includes an image of the road in front of the target vehicle.

[0052] like Figure 4 As shown, the process of determining whether the target vehicle is in a preset dangerous road environment also includes: Step 1025: Perform image recognition on the vehicle exterior environment image to determine whether the driving environment image includes an intersection without a traffic light.

[0053] Among them, step 1025 is substantially the same as the aforementioned step 1023 and will not be described in detail.

[0054] Step 1026: If the driving environment image includes an intersection without a traffic light, determine whether the driving environment image includes a visual blind spot and / or the visibility of the environment in which the target vehicle is located.

[0055] Considering that the existence of intersections without signal lights creates certain difficulties and obstacles for the driver's safe driving, the driver needs to rely on his own experience and vision to manually judge the timing of driving. However, during the day or when the field of vision is relatively wide, the difficulty of the driver's judgment is generally not too great. However, on this basis, if there are visual blind spots or poor visibility at intersections without signal lights, it will further increase the driver's judgment difficulty and safety hazards. Therefore, in order to further ensure the safety of the driver, it is also judged whether the driving environment image includes the visual blind spot and / or the visibility of the current driving environment is less than the preset threshold. Among them, the detection of the visual blind spot can be for whether there are large-area objects in the driving environment, such as large-area buildings, large plants, etc. Visibility can detect the light intensity of the driving environment data. When the light intensity is lower than the preset intensity threshold, it is determined that the target vehicle is in a dangerous road environment.

[0056] Step 1027: If the driving environment image includes the visual blind spot and / or the visibility is less than the preset threshold, it is determined that the target vehicle is in the dangerous road environment.

[0057] On the basis of detecting that there is no signal light in front of the target vehicle, further detection is performed on whether the driving environment image includes a visual blind spot and whether the visibility of the current driving environment is less than the preset threshold, thereby improving the accuracy and effectiveness of the target vehicle in a dangerous road environment.

[0058] Step 103: If it is determined that the target vehicle is in the dangerous road environment, the driving status of the target vehicle is obtained.

[0059] The driving state is used to characterize factors that may affect the braking speed of the target vehicle, such as the speed of the target vehicle, braking performance, road conditions of the road on which it is traveling, etc. It is understandable that upon detecting a dangerous road environment, on the basis of reminding the target vehicle, after receiving the reminder for the dangerous road environment, whether the target vehicle can respond in time by braking, etc., so as to avoid danger is a key factor in whether the driving reminder is effective.

[0060] Therefore, in an embodiment of the present invention, if it is determined that the target vehicle is in the dangerous road environment, the driving status of the target vehicle is obtained, so as to customize the reminder strategy for the target vehicle according to the driving status to ensure the effectiveness of driving reminders in dangerous road environments.

[0061] Step 104: Determine a target reminder strategy for the target vehicle according to the driving status.

[0062] Specifically, the response speed of the target vehicle is determined according to the driving state, and the reminder visibility of the target reminder strategy is determined according to the response speed, wherein the faster the response speed, the lower the reminder visibility, and conversely, the slower the response speed, the higher the reminder visibility, so that the driver has enough time to make a risk avoidance response. For example, when the target vehicle has a fast speed and / or poor braking performance, it indicates that the response speed of the target vehicle is slow. Therefore, in order to improve the safety assurance of the target vehicle, it is necessary to remind the target vehicle in a more obvious way to attract the attention of the driver of the target vehicle to the greatest extent and as quickly as possible, so as to prompt him to take risk avoidance measures in time.

[0063] In some embodiments, the driving status includes the speed of the target vehicle; Figure 5 As shown, the process of determining the target reminder strategy includes: Step 1041: Compare the vehicle speed with a preset first speed threshold and a preset second speed threshold respectively; the first speed threshold is greater than the second speed threshold.

[0064] The first speed threshold is used to characterize the speed in a high-speed driving state, and the second speed threshold is used to characterize the speed in a fast driving state. For example, the first speed threshold may be 60 km / h, and the second speed threshold may be 30 km / h.

[0065] Step 1042: If the vehicle speed is greater than the second speed threshold and less than the first speed threshold, use sensory reminder as the target reminder strategy.

[0066] Among them, sensory reminder refers to reminding the driver by releasing at least one human sensory signal, such as one or more of sound, light, smell, touch, etc. For example, when the speed of the target vehicle is between 30km / h and 59.9km / h, the instrument panel or the speaker in the car can be controlled to emit a safety reminder sound to remind the driver to pay attention to the intersection ahead. The volume and frequency of the speaker can be adjusted according to the actual driving environment to ensure that the driver can clearly hear the reminder; Optionally, when the vehicle speed is less than the second speed threshold, no reminder can be used as the target reminder strategy to save reminder resources and avoid affecting the driver's normal driving operation. For example, when the vehicle speed is less than 30km / h, the driving reminder action is not performed.

[0067] Step 1043: If the vehicle speed is greater than or equal to the first speed threshold, auxiliary deceleration is used as the target reminder strategy.

[0068] Among them, assisted deceleration can be to automatically activate the deceleration mechanism of the target vehicle. The deceleration amplitude can be adjusted according to the current vehicle speed, with the traffic jam after deceleration being less than the first speed threshold as the standard, such as forcing a 20% deceleration based on the current vehicle speed. Optionally, on the basis of assisted deceleration, sensory reminders can also be provided to further ensure the safety of the driver.

[0069] In some embodiments, Figure 6 As shown, the process of determining the target reminder strategy includes: Step 1044: Determine the estimated response time of the target vehicle after receiving the reminder based on the driving environment data and the driving status.

[0070] Considering that the braking distance of the target vehicle depends on the braking performance of the target vehicle, the speed of the vehicle and the reaction speed of the driver of the target vehicle, for example, generally speaking, the faster the speed, the longer the braking distance. The braking performance of the vehicle includes the efficiency of the braking system, the grip of the tires, etc.

[0071] On the other hand, it also depends on the road condition that the current target vehicle is traveling on. Different road conditions have a great impact on the braking distance, such as dry flat road, slippery road, icy road, etc. For example, when the road friction coefficient is small, the braking distance is large. Therefore, in the embodiment of the present invention, the estimated response time is determined according to the driving environment data and the driving state.

[0072] The estimated response time includes the determination of the safe braking distance, wherein the safe braking distance can be the sum of the driving reaction distance and the actual braking distance. The driving reaction distance is the product of the driver's reaction time and the vehicle speed. Driver reaction time: the time interval from the discovery of danger to the stepping on the brake pedal, the driver's reaction time can be 0.5 to 1.5 seconds. The actual braking distance is determined according to the vehicle's braking performance and the road friction coefficient.

[0073] Step 1045: Determine the target reminder strategy according to the estimated response time.

[0074] Among them, the expected response time is inversely proportional to the reminder prominence of the target reminder strategy. That is, the shorter the expected response time, the higher the reminder degree, which prompts the driver of the target vehicle to be more awakened and awakened faster, ensuring driving safety in dangerous road environments.

[0075] In some embodiments, the driving state includes the speed and braking performance of the target vehicle; the driving environment data includes the road surface condition of the road where the target vehicle is located. Figure 7 As shown, the process of determining the target reminder strategy includes: Step 1046: Determine a second distance between the target vehicle and the dangerous road environment based on the driving environment data.

[0076] The position of the target vehicle and the external environment image of the target vehicle are determined according to the driving environment data. The external environment image is identified to obtain the position of the nearest intersection without a signal light in front of the target vehicle, and the position of the nearest intersection without a signal light is compared with the position of the target vehicle to obtain a second distance.

[0077] Step 1047: Calculate the expected response time based on the second distance, the vehicle speed, the vehicle braking performance and the road condition.

[0078] The second distance is converted according to the vehicle braking performance and the road condition to obtain the estimated braking distance, and the estimated response time is determined according to the ratio of the estimated braking distance to the vehicle speed. When converting the second distance, the distance magnification factor is determined according to the vehicle braking performance and the road condition, and the product of the distance magnification factor and the second distance is determined as the estimated braking distance. The worse the vehicle braking performance, the greater the distance magnification factor, and the smaller the friction coefficient of the road, the greater the distance magnification factor.

[0079] Step 1048: If the estimated response time is less than the second time threshold and greater than a preset first time threshold, use sensory reminder as the target reminder strategy; the first time threshold is less than the second time threshold.

[0080] Among them, sensory reminder refers to reminding the driver by releasing at least one human sensory signal, such as one or more of sound, light, smell, touch, etc. For example, when the expected response time of the target vehicle is between 10s and 39s, the instrument panel or the speaker in the car can be controlled to emit a safety reminder sound to remind the driver to pay attention to the intersection ahead. The volume and frequency of the speaker can be adjusted according to the actual driving environment to ensure that the driver can clearly hear the reminder; Optionally, when the expected response time is greater than the second time threshold, no reminder can be used as the target reminder strategy to save reminder resources while avoiding affecting the driver's normal driving operation. For example, when the expected response time is greater than 30s, the driving reminder action is not performed.

[0081] Step 1049: If the estimated response time is less than or equal to the first time threshold, auxiliary deceleration is used as the target reminder strategy.

[0082] Among them, assisted deceleration can be to automatically activate the deceleration mechanism of the target vehicle. The deceleration amplitude can be adjusted according to the current vehicle speed, with the traffic jam after deceleration being less than the first speed threshold as the standard, such as forcing a 20% deceleration based on the current vehicle speed. Optionally, on the basis of assisted deceleration, sensory reminders can also be provided to further ensure the safety of the driver.

[0083] In some embodiments, in order to ensure the real-time and effectiveness of driving reminders, after determining the target reminder strategy for the target vehicle according to the driving state, the method further includes: When it is determined that the target vehicle leaves the dangerous road environment and / or the target vehicle actively accelerates, it is determined that the target reminder strategy is invalid.

[0084] For example, when the dangerous road environment is an intersection with no signal, one intersection with no signal corresponds to one target reminder strategy. When it is detected that the target vehicle has left the intersection with no signal, it indicates that the current target reminder strategy has failed, thereby avoiding invalid reminders to the target vehicle or affecting the driver's normal driving.

[0085] Optionally, considering that the target reminder strategy may include assisted driving strategies such as assisting the target vehicle to slow down, when the target vehicle actively implements actions opposite to the assisted driving, it can to a certain extent represent that the driver has realized the existence of a dangerous road environment. Therefore, the target reminder strategy can be set to invalid at this time.

[0086] Step 105: According to the target reminder strategy, a driving reminder is provided to the target vehicle.

[0087] Among them, the target vehicle is reminded of the driving situation according to the reminder method specified in the target reminder strategy. It is automatically adjusted according to the vehicle speed and road conditions, which is more humane and efficient and can better attract the driver's attention.

[0088] Please refer to Figure 8 , is a schematic diagram of the structure of the driving reminder device 201 provided in the embodiment of the present application. Figure 8 As shown, the driving reminder device 201 includes: The first acquisition module 2011 is used to acquire the driving environment data of the target vehicle; The first determination module 2012 is used to determine whether the target vehicle is in a preset dangerous road environment according to the driving environment data; the dangerous road environment includes an environment where there is an intersection without a traffic light; A second acquisition module 2013 is used to acquire the driving state of the target vehicle if it is determined that the target vehicle is in the dangerous road environment; A second determination module 2014 is used to determine a target reminder strategy for the target vehicle according to the driving state; The reminder module 2015 is used to provide driving reminders to the target vehicle according to the target reminder strategy.

[0089] Please refer to Fig. 9 Schematic diagram of the hardware structure of the electronic device 301 provided in the embodiment of the present application. Fig. 9 As shown, the electronic device 301 may include a processor 3001 and a memory 3002. The memory 3002 is used to store one or more computer programs 3003. The one or more computer programs 3003 are configured to be executed by the processor 3001. The one or more computer programs 3003 include instructions, and the above instructions can be used to implement the above driving reminder method in the electronic device 301.

[0090] It is understandable that the structure shown in this embodiment does not constitute a specific limitation on the electronic device 301. In other embodiments, the electronic device 301 may include more or fewer components than shown, or combine or separate some components, or arrange the components differently.

[0091] The processor 3001 may include one or more processing units, for example, the processor 3001 may include an application processor (AP), a modem, a graphics processing unit (GPU), an image signal processor (ISP), a controller, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU), etc. Different processing units may be independent devices or integrated into one or more processors.

[0092] The processor 3001 may also be provided with a memory for storing instructions and data. In some embodiments, the memory in the processor 3001 is a cache memory. The memory may store instructions or data that the processor 3001 has just used or circulated. If the processor 3001 needs to use the instruction or data again, it may be directly called from the memory. This avoids repeated access, reduces the waiting time of the processor 3001, and thus improves the efficiency of the system.

[0093] In some embodiments, the processor 3001 may include one or more interfaces. The interface may include an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, a pulse code modulation (PCM) interface, a universal asynchronous receiver / transmitter (UART) interface, a mobile industry processor interface (MIPI), a general-purpose input / output (GPIO) interface, a SIM interface, and / or a USB interface, etc.

[0094] In some embodiments, the processor 3001 is used to execute acceleration schemes such as single instruction multiple data (SIMD) and very long instruction word (VLIW).

[0095] In some embodiments, memory 3002 may include high-speed random access memory and may also include non-volatile memory, such as a hard disk, an internal memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0096] This embodiment also provides a computer storage medium, in which computer instructions are stored. When the instructions are executed on a processor, the processor executes the above-mentioned related method steps to implement the driving reminder method in the above-mentioned embodiment.

[0097] Among them, the driving reminder equipment, device, and computer storage medium provided in this embodiment are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0098] In practical applications, the above functions can be distributed to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0099] In several embodiments provided in the present application, the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are schematic. For example, the division of the modules or units is a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, 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.

[0100] The unit described as a separate component may or may not be physically separated, and the component shown as a unit may be one physical unit or multiple physical units, that is, it may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.

[0101] In addition, each functional unit in each embodiment of the present application 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.

[0102] If the integrated 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 readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program code.

[0103] The above description is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application should be included in the protection scope of the present application.

Claims

1. A driving reminder method, characterized in that: The method comprises: Obtain driving environment data of the target vehicle; Determine, based on the driving environment data, whether the target vehicle is in a preset dangerous road environment; the dangerous road environment includes an environment where there is an intersection without a traffic light; If it is determined that the target vehicle is in the dangerous road environment, obtaining the driving status of the target vehicle; Determining a target reminder strategy for the target vehicle according to the driving status; According to the target reminder strategy, a driving reminder is provided to the target vehicle.

2. The method according to claim 1, characterized in that The driving environment data includes vehicle position information of the target vehicle; The process of determining whether the target vehicle is in a preset dangerous road environment includes: Determining a first distance between the target vehicle and an intersection without a traffic light according to the vehicle position information and preset map data; If the first distance is less than a preset distance threshold, it is determined that the target vehicle is in the dangerous road environment.

3. The method according to claim 1, characterized in that The driving environment data includes an image of the external environment of the target vehicle; The process of determining whether the target vehicle is in a preset dangerous road environment includes: Performing image recognition on the vehicle exterior environment image to determine whether the vehicle exterior environment image includes an intersection without a traffic light; If the external environment image includes an intersection without a traffic light, it is determined that the target vehicle is in the dangerous road environment.

4. The method according to claim 1, characterized in that The driving environment data includes an image of the external environment of the target vehicle; the process of determining whether the target vehicle is in a preset dangerous road environment also includes: Performing image recognition on the vehicle exterior environment image to determine whether the driving environment image includes an intersection without a traffic light; If the driving environment image includes an intersection without a traffic light, determining whether the driving environment image includes a visual blind spot and / or visibility of the environment in which the target vehicle is located; If the driving environment image includes the visual blind area and / or the visibility is less than the preset threshold, it is determined that the target vehicle is in the dangerous road environment.

5. The method according to claim 1, characterized in that The driving state includes the speed of the target vehicle; The process of determining the target reminder strategy includes: Comparing the vehicle speed with a preset first speed threshold and a preset second speed threshold respectively; the first speed threshold is greater than the second speed threshold; If the vehicle speed is greater than the second speed threshold and less than the first speed threshold, using sensory reminder as the target reminder strategy; If the vehicle speed is greater than or equal to the first speed threshold, auxiliary deceleration is used as the target reminder strategy.

6. The method according to claim 1, characterized in that The process of determining the target reminder strategy includes: Determining an estimated response time of the target vehicle after receiving a reminder based on the driving environment data and the driving status; The target reminder strategy is determined according to the estimated response time.

7. The method according to claim 6, characterized in that The driving state includes the speed and braking performance of the target vehicle; the driving environment data includes the road surface condition of the road where the target vehicle is located; the determination process of the target reminder strategy includes: Determine a second distance between the target vehicle and the dangerous road environment according to the driving environment data; Calculating the estimated response time according to the second distance, the vehicle speed, the vehicle braking performance and the road condition; If the estimated response time is less than a preset second time threshold and greater than a preset first time threshold, using sensory reminder as the target reminder strategy; and the first time threshold is less than the second time threshold; If the estimated response time is less than or equal to the first time threshold, auxiliary deceleration is used as the target reminder strategy.

8. The method according to claim 1, characterized in that The target reminder strategy includes auxiliary deceleration; after determining the target reminder strategy for the target vehicle according to the driving state, it includes: When it is determined that the target vehicle leaves the dangerous road environment and / or the target vehicle actively accelerates, it is determined that the target reminder strategy is invalid.

9. A driving reminder device, characterized in that: The driving reminder device comprises: A first acquisition module, used to acquire driving environment data of a target vehicle; A first determination module is used to determine whether the target vehicle is in a preset dangerous road environment according to the driving environment data; the dangerous road environment includes an environment where there is an intersection without a traffic light; A second acquisition module is used to acquire the driving state of the target vehicle if it is determined that the target vehicle is in the dangerous road environment; A second determination module is used to determine a target reminder strategy for the target vehicle according to the driving state; The reminder module is used to provide driving reminders to the target vehicle according to the target reminder strategy.

10. A driving reminder device, comprising a processor and a memory, characterized in that: The memory is used to store instructions, and the processor is used to call the instructions in the memory, so that the driving reminder device executes the driving reminder method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are executed on a processor, the processor is enabled to execute the driving reminder method according to any one of claims 1 to 8.

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