Vehicle slope warning method, device, equipment and storage medium

Abstract

The present invention belongs to the field of vehicle control technology, and discloses a vehicle rolling downhill reminder method, device, equipment and storage medium. The method comprises: obtaining vehicle status information and driving environment information of the target vehicle; when it is necessary to remind the driver of the vehicle rolling downhill, determining a rolling downhill prediction coefficient and a rear-end collision prediction coefficient according to the vehicle status information and driving environment information; determining a rolling downhill reminder strategy according to the rolling downhill prediction coefficient and the rear-end collision prediction coefficient; and executing the rolling downhill reminder strategy to remind the driver of the rolling downhill. Through the above-mentioned method, the rolling downhill prediction coefficient and the rear-end collision prediction coefficient of the vehicle are calculated and analyzed according to the vehicle status information and the driving environment information, so that different rolling downhill reminder strategies can be made according to the current possibility and degree of danger of the vehicle rolling downhill, so that the rolling downhill reminder for the driver is graded and has better recognition and pertinence, thereby improving the user experience.

Description

Technical Field

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

[0002] Vehicle sliding backward on a slope is the most likely to cause a car accident. Although many cars are now equipped with autohold, the following situations often cause the vehicle to slide backward: 1) The autohold function is not turned on; 2) The autohold is turned on but the vehicle is not braked to 0 speed, which does not meet the autohold function requirement, and the driver mistakenly thinks that the vehicle has been turned on, usually on a bridge with congested vehicles; 3) The autohold function is temporarily cancelled by operation. Some vehicles must be locked in D gear when in autohold, and the autohold function will be automatically unlocked when shifting to N gear; 4) Some vehicles are not equipped with autohold, and the handbrake is forgotten when parking, resulting in sliding. All of the above situations will cause sliding backward, causing serious safety hazards.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a vehicle rolling downhill reminder method, device, equipment and storage medium, aiming to solve the technical problem that the prior art vehicle rolling downhill reminder is not targeted and leads to poor user experience.

[0005] To achieve the above object, the present invention provides a vehicle slope slip reminder method, the method comprising the following steps:

[0006] Obtain vehicle status information and driving environment information of the target vehicle;

[0007] When it is necessary to remind the driver that the vehicle is rolling down a slope, determining a rolling down a slope prediction coefficient and a rear-end collision prediction coefficient according to the vehicle state information and the driving environment information;

[0008] Determining a slope slip warning strategy according to the slope slip prediction coefficient and the rear-end collision prediction coefficient;

[0009] The slope rollback warning strategy is executed to remind the driver that a slope rollback occurs.

[0010] Optionally, when it is necessary to remind the driver that the vehicle is rolling down a slope, before determining the rolling down a slope prediction coefficient and the rear-end collision prediction coefficient according to the vehicle state information and the driving environment information, the method further includes:

[0011] Determining the current gear position and current speed of the target vehicle according to the vehicle state information;

[0012] When the current gear position is not a reverse gear position, and the current vehicle speed is less than a minimum vehicle speed threshold, it is determined that a vehicle rolling downhill reminder is required to be issued to the driver.

[0013] Optionally, when it is necessary to remind the driver that the vehicle is rolling down a slope, determining a rolling down a slope prediction coefficient and a rear-end collision prediction coefficient according to the vehicle state information and the driving environment information includes:

[0014] When it is necessary to remind the driver that the vehicle is rolling down a slope, determining the road adhesion coefficient and rear obstacle information according to the driving environment information;

[0015] Determining the current vehicle speed and vehicle caster angle of the target vehicle according to the vehicle state information;

[0016] Determining a slope prediction coefficient according to the road adhesion coefficient and the vehicle caster angle;

[0017] A rear-end collision prediction coefficient is determined according to the current vehicle speed and the rear obstacle information.

[0018] Optionally, determining a slope prediction coefficient according to the road adhesion coefficient and the vehicle caster angle includes:

[0019] Get the current weather information and the friction coefficient of the current road surface;

[0020] determining a weather-road adhesion coefficient according to the current weather information;

[0021] The slope prediction coefficient is determined according to the road adhesion coefficient, the weather road adhesion coefficient, the vehicle caster angle and the friction coefficient of the current road surface.

[0022] Optionally, determining a rear-end collision prediction coefficient according to the current vehicle speed and the rear obstacle information includes:

[0023] Determining the obstacle distance from the rear of the target vehicle according to the rear obstacle information;

[0024] A rear-end collision prediction coefficient is determined according to the obstacle distance and the current vehicle speed.

[0025] Optionally, the determining a slope warning strategy according to the slope prediction coefficient and the rear-end collision prediction coefficient includes:

[0026] Determining a landslide prediction level according to the landslide prediction coefficient;

[0027] determining a rear-end collision prediction level according to the rear-end collision prediction coefficient;

[0028] A slope sliding warning strategy is determined according to the slope sliding prediction level and the rear-end collision prediction level.

[0029] Optionally, the determining a slope slip warning strategy according to the slope slip prediction level and the rear-end collision prediction level includes:

[0030] According to the landslide prediction level, a landslide level strategy table is searched to obtain a plurality of alternative landslide response strategies corresponding to the landslide prediction level;

[0031] According to the rear-end collision prediction level, a rear-end collision level strategy table is searched to obtain a plurality of candidate rear-end collision response strategies corresponding to the rear-end collision prediction level;

[0032] The alternative landslide response strategy and the alternative rear-end collision response strategy are fitted to determine the landslide warning strategy.

[0033] In addition, to achieve the above-mentioned purpose, the present invention also provides a vehicle rolling downhill reminder device, the vehicle rolling downhill reminder device comprising:

[0034] An acquisition module, used to acquire vehicle status information and driving environment information of a target vehicle;

[0035] A calculation module, used for determining a slope rolling prediction coefficient and a rear-end collision prediction coefficient according to the vehicle state information and driving environment information when it is necessary to remind the driver that the vehicle is rolling down a slope;

[0036] A planning module, used for determining a slope slipping warning strategy according to the slope slipping prediction coefficient and the rear-end collision prediction coefficient;

[0037] The execution module is used to execute the slope slipping reminder strategy to remind the driver of the slope slipping.

[0038] In addition, to achieve the above-mentioned purpose, the present invention also proposes a vehicle rolling downhill reminder device, which includes: a memory, a processor, and a vehicle rolling downhill reminder program stored in the memory and executable on the processor, and the vehicle rolling downhill reminder program is configured to implement the steps of the vehicle rolling downhill reminder method described above.

[0039] In addition, to achieve the above-mentioned purpose, the present invention further proposes a storage medium, on which a vehicle rolling downhill reminder program is stored, and when the vehicle rolling downhill reminder program is executed by a processor, the steps of the vehicle rolling downhill reminder method as described above are implemented.

[0040] The present invention obtains the vehicle state information and driving environment information of the target vehicle; when it is necessary to remind the driver of the vehicle rolling down a slope, the rolling down slope prediction coefficient and the rear-end collision prediction coefficient are determined according to the vehicle state information and the driving environment information; the rolling down slope reminder strategy is determined according to the rolling down slope prediction coefficient and the rear-end collision prediction coefficient; and the rolling down slope reminder strategy is executed to remind the driver of the rolling down slope. In this way, the rolling down slope prediction coefficient and the rear-end collision prediction coefficient of the vehicle are calculated and analyzed according to the vehicle state information and the driving environment information, so that different rolling down slope reminder strategies can be made according to the current possibility and degree of danger of the vehicle rolling down a slope, so that the rolling down slope reminder for the driver is graded and has better recognition and pertinence, and the user experience is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a structural diagram of a vehicle slope slip reminder device in a hardware operating environment involved in an embodiment of the present invention;

[0042] Figure 2 It is a flow chart of a first embodiment of a vehicle rolling downhill reminder method of the present invention;

[0043] Figure 3 It is a flow chart of a second embodiment of the vehicle rolling downhill reminder method of the present invention;

[0044] Figure 4 It is a structural block diagram of the first embodiment of the vehicle slope warning device of the present invention.

[0045] 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

[0046] 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.

[0047] Reference Figure 1 , Figure 1 The present invention is a schematic diagram of the structure of a vehicle slope warning device in the hardware operating environment involved in an embodiment of the present invention.

[0048] like Figure 1As shown, the vehicle slope 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) memory, or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0049] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the vehicle slope warning device, and may include more or less components than those shown in the figure, or combine certain components, or arrange the components differently.

[0050] 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 vehicle rolling downhill reminder program.

[0051] exist Figure 1 In the vehicle slope rolling 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 vehicle slope rolling reminder device of the present invention can be set in the vehicle slope rolling reminder device, and the vehicle slope rolling reminder device calls the vehicle slope rolling reminder program stored in the memory 1005 through the processor 1001, and executes the vehicle slope rolling reminder method provided by the embodiment of the present invention.

[0052] The embodiment of the present invention provides a vehicle rolling downhill reminder method, referring to Figure 2 , Figure 2 The figure is a flow chart of a first embodiment of a vehicle rolling downhill reminder method according to the present invention.

[0053] In this embodiment, the vehicle rolling downhill reminder method comprises the following steps:

[0054] Step S10: Acquire vehicle status information and driving environment information of the target vehicle.

[0055] It should be noted that the execution subject in this embodiment is a vehicle controller, specifically a controller mounted on a vehicle for controlling a vehicle slope slip reminder method, or any device that can implement this function, and this embodiment does not limit this.

[0056] It should be understood that the current control of vehicle rolling down a slope is to use the autohold function to prevent the vehicle from rolling down a slope, but there are many special situations and scenarios that cause the autohold function to fail to work properly, and vehicles without this function installed cannot prevent rolling down a slope, which will cause serious safety hazards. The solution of this embodiment, based on the information of the vehicle and the surrounding environment, does not require the vehicle to be equipped with the autohold function, and can also make targeted reminders to the driver according to the degree of danger and the possibility of rolling down a slope to prevent safety accidents.

[0057] In a specific implementation, the target vehicle refers to the currently controlled vehicle that can provide a slope slip reminder, and can be a vehicle of any model and size, which is not limited in this embodiment.

[0058] It should be noted that vehicle status information refers to information related to the current status of the target vehicle, including but not limited to the current speed and gear of the target vehicle, as well as information on the working status of other vehicle components. Driving environment information refers to information related to the current form of the road surface of the target vehicle, including but not limited to the road adhesion coefficient of the current road, rear obstacle information, etc.

[0059] Step S20: When it is necessary to remind the driver that the vehicle is rolling down a slope, a rolling down slope prediction coefficient and a rear-end collision prediction coefficient are determined according to the vehicle state information and the driving environment information.

[0060] It should be understood that the slope rolling prediction coefficient and the rear-end collision prediction coefficient are parameters calculated based on vehicle state information and driving environment information and are used to characterize the possibility and danger of the target vehicle's slope rolling and rear-end collision.

[0061] Furthermore, in order to accurately determine whether a roll-down slope reminder is needed, before step S10, it also includes: determining the current gear position and the current vehicle speed of the target vehicle according to the vehicle status information; when the current gear position is not a reverse gear position and the current vehicle speed is less than the minimum vehicle speed threshold, determining that a vehicle roll-down slope reminder is needed to the driver.

[0062] In a specific implementation, the current gear refers to the gear currently used by the target vehicle when driving, which can be 1st to 5th gear or R gear of an automatic transmission vehicle, or N, P, R gear of a manual transmission vehicle.

[0063] It should be noted that the minimum vehicle speed threshold refers to a threshold vehicle speed preset by a user for calibrating whether a vehicle rollback reminder is required, and can be any numerical vehicle speed in any direction, and this embodiment does not impose any limitation on this.

[0064] In this way, it is possible to determine whether a vehicle rollback reminder is needed based on the vehicle's gear position and current speed, which can effectively prevent unnecessary rollback reminders under non-essential conditions and improve the user experience.

[0065] Step S30: determining a slope warning strategy according to the slope prediction coefficient and the rear-end collision prediction coefficient.

[0066] In a specific implementation, determining a landslide warning strategy according to the landslide prediction coefficient and the rear-end collision prediction coefficient means determining a landslide prediction level and a rear-end collision prediction level according to the landslide prediction coefficient and the rear-end collision prediction coefficient, respectively, and then determining a corresponding landslide warning strategy.

[0067] Further, in order to determine the best landslide warning strategy, step S30 includes: determining a landslide prediction level according to the landslide prediction coefficient; determining a rear-end collision prediction level according to the rear-end collision prediction coefficient; and determining a landslide warning strategy according to the landslide prediction level and the rear-end collision prediction level.

[0068] It should be noted that the landslide prediction level and the rear-end collision prediction level are determined based on the landslide prediction coefficient and the rear-end collision prediction coefficient. Specifically, the system stores a mapping table of the corresponding relationship between the landslide prediction coefficient and the landslide prediction level, and the corresponding relationship between the rear-end collision prediction coefficient and the rear-end collision prediction level, so that the landslide prediction level can be determined according to the value range of the landslide prediction coefficient, and then the rear-end collision prediction level can be determined according to the value range of the rear-end collision prediction coefficient. Specifically, the landslide prediction level can be any one of 1 to 3, and the rear-end collision prediction level can be any one of A / B / C.

[0069] It should be understood that determining the landslide warning strategy according to the landslide prediction level and the rear-end collision prediction level means: respectively determining the landslide response strategies for each rear-end collision level corresponding to the landslide prediction level, and then determining the rear-end collision response strategies for each landslide level under the rear-end collision prediction level, and then performing fitting to determine the final landslide warning strategy.

[0070] In this way, the landslide prediction level determined according to the landslide prediction coefficient and the rear-end collision prediction coefficient and the specific targeted landslide warning strategy determined according to the rear-end collision prediction level are achieved, thereby improving the user experience.

[0071] Furthermore, in order to determine the landslide warning strategy, the step of determining the landslide warning strategy according to the landslide prediction level and the rear-end collision prediction level includes: querying the landslide level strategy table according to the landslide prediction level to obtain multiple alternative landslide response strategies corresponding to the landslide prediction level; querying the rear-end collision level strategy table according to the rear-end collision prediction level to obtain multiple alternative rear-end collision response strategies corresponding to the rear-end collision prediction level; fitting the alternative landslide response strategy and the alternative rear-end collision response strategy to determine the landslide warning strategy.

[0072] It should be noted that querying the landslide level strategy table according to the landslide prediction level to obtain multiple alternative landslide response strategies corresponding to the landslide prediction level means: querying the pre-set landslide level strategy table according to the landslide prediction level to obtain several alternative landslide response strategies corresponding to the current landslide prediction level. Specifically, the content of the landslide level strategy table is: when the landslide level is level 1, the landslide response strategies of the rear-end collision level from ABC are continuous monitoring, pedal reminder and seat reminder in sequence; when the landslide level is level 2, the landslide response strategies of the rear-end collision level from ABC are pedal reminder, turning on double flash and rear horn reminder in sequence; when the landslide level is level 3, the landslide response strategies of the rear-end collision level from ABC are seat reminder, rear horn reminder and automatic braking in sequence.

[0073] It should be understood that querying the rear-end collision level strategy table according to the rear-end collision prediction level to obtain multiple alternative rear-end collision response strategies corresponding to the rear-end collision prediction level means: querying the preset rear-end collision level strategy table according to the rear-end collision prediction level to obtain several alternative rear-end collision response strategies corresponding to the current rear-end collision prediction level. Specifically, the content of the rear-end collision level strategy table is: when the rear-end collision level is level A, the slope response strategies for slope levels 1 to 3 are continuous monitoring, pedal reminder, and seat reminder; when the rear-end collision level is level B, the slope response strategies for slope levels 1 to 3 are pedal reminder, turning on double flashes, and rear horn reminder; when the rear-end collision level is level C, the slope response strategies for slope levels 1 to 3 are seat reminder, rear horn reminder, and automatic braking.

[0074] In a specific implementation, the seat cushion reminder is to remind the driver to perform emergency braking through a vibration generator under the driver's seat cushion. The pedal reminder is to remind the driver to perform emergency braking through a vibration generator at the left pedal.

[0075] It should be noted that fitting the alternative landslide response strategy and the alternative rear-end collision response strategy to determine the landslide warning strategy means: fitting the alternative landslide response strategy and the alternative rear-end collision response strategy respectively, and obtaining a strategy corresponding to the landslide prediction level under the rear-end collision prediction level as the landslide warning strategy.

[0076] In this way, the corresponding slope warning strategy can be accurately determined based on the slope prediction level and the rear-end collision prediction level, so as to timely, effectively and targetedly remind the driver to take measures to prevent slope sliding.

[0077] Step S40: Execute the slope slip reminder strategy to remind the driver of the slope slip.

[0078] It should be understood that executing the slope warning strategy to remind the driver of the slope rolling means: after the slope rolling warning strategy is determined, the slope rolling warning strategy is completed by the pedals, horns, lamps and seats on the target vehicle to remind the driver to take braking measures when the slope rolling occurs.

[0079] This embodiment obtains the vehicle state information and driving environment information of the target vehicle; when it is necessary to remind the driver of the vehicle rolling down a slope, determines the rolling down slope prediction coefficient and the rear-end collision prediction coefficient according to the vehicle state information and the driving environment information; determines the rolling down slope reminder strategy according to the rolling down slope prediction coefficient and the rear-end collision prediction coefficient; and executes the rolling down slope reminder strategy to remind the driver of the rolling down slope. In this way, the rolling down slope prediction coefficient and the rear-end collision prediction coefficient of the vehicle are calculated and analyzed according to the vehicle state information and the driving environment information, so that different rolling down slope reminder strategies can be made according to the current possibility and degree of danger of the vehicle rolling down a slope, so that the rolling down slope reminder for the driver is graded and more recognizable and targeted, and the user experience is improved.

[0080] refer to Figure 3 , Figure 3 The figure is a flow chart of a second embodiment of a vehicle rolling downhill reminder method according to the present invention.

[0081] Based on the first embodiment, the vehicle rolling downhill reminder method of this embodiment includes in step S20:

[0082] Step S201: When it is necessary to remind the driver that the vehicle is rolling down a slope, the road adhesion coefficient and rear obstacle information are determined according to the driving environment information.

[0083] It should be noted that the road adhesion coefficient is one of the information stored in the driving environment information. It is the correlation coefficient of the adhesion property of the current driving road surface obtained by the camera mounted on the target vehicle and the vehicle network information. The rear obstacle information refers to the obstacles behind the target vehicle and the type, distance, volume and other related information of the vehicles behind.

[0084] Step S202: Determine the current vehicle speed and vehicle castor angle of the target vehicle according to the vehicle state information.

[0085] It should be understood that the vehicle caster angle refers to the current vehicle level and tilt angle monitored by a compass level meter carried on the target vehicle.

[0086] Step S203: determining a slope prediction coefficient according to the road adhesion coefficient and the vehicle castor angle.

[0087] In a specific implementation, determining the slope prediction coefficient based on the road adhesion coefficient and the vehicle castor angle means: calculating a coefficient related to the friction of the target vehicle relative to the road surface based on the road adhesion coefficient and the vehicle castor angle as the slope prediction coefficient, that is, a relevant parameter as to whether the target vehicle will slide relative to the road surface.

[0088] Furthermore, in order to more accurately calculate the slope prediction parameters, step S203 includes: obtaining current weather information and the friction coefficient of the current road surface; determining the weather-road surface adhesion coefficient based on the current weather information; and determining the slope prediction coefficient based on the road surface adhesion coefficient, the weather-road surface adhesion coefficient, the vehicle caster angle and the friction coefficient of the current road surface.

[0089] It should be noted that the current weather information refers to the weather information of the geographical location of the road on which the target vehicle is traveling, such as rain, snow, sunny, frosty, etc. The friction coefficient of the current road surface refers to the friction coefficient of the current road surface without special weather conditions.

[0090] It should be understood that the weather-road adhesion coefficient refers to a parameter that characterizes the effect of current weather on the road adhesion coefficient of the vehicle.

[0091] In a specific implementation, determining the slope prediction coefficient according to the road adhesion coefficient, the weather road adhesion coefficient, the vehicle caster angle and the friction coefficient of the current road surface means calculating the slope prediction coefficient Q by a calculation formula, and the specific calculation formula is:

[0092] Q=G·cos a·(μ·U s1 ·U s2 );

[0093] Among them, G is the vehicle weight, a is the vehicle caster angle, μ is the friction coefficient, and U is s1 is the road adhesion coefficient, U s2 is the weather-road adhesion coefficient.

[0094] In this way, the slope slip prediction coefficient of the target vehicle is calculated according to weather factors, which makes the slope slip prediction more accurate and scientific by combining weather factors.

[0095] Step S204: determining a rear-end collision prediction coefficient according to the current vehicle speed and the rear obstacle information.

[0096] It should be noted that determining the rear-end collision prediction coefficient according to the current vehicle speed and the rear obstacle information refers to: calculating the rear-end collision prediction coefficient according to the current vehicle speed and the distance to the rear obstacle of the target vehicle in the rear obstacle information.

[0097] Furthermore, in order to calculate the rear-end collision prediction coefficient, step S204 includes: determining the obstacle distance from the rear end of the target vehicle according to the rear obstacle information; and determining the rear-end collision prediction coefficient according to the obstacle distance and the current vehicle speed.

[0098] It should be understood that the obstacle distance refers to the distance of the obstacle closest to the rear of the target vehicle. The obstacle may be a rear vehicle, or may be a wall, road fence or other obstacle.

[0099] In a specific implementation, determining the rear-end collision prediction coefficient according to the obstacle distance and the current vehicle speed means: calculating the rear-end collision prediction coefficient according to the obstacle distance and the current vehicle speed, and the specific calculation formula is:

[0100] Among them, P is the rear-end collision prediction coefficient, S is the obstacle distance, and v is the current vehicle speed.

[0101] In this way, an accurate rear-end collision prediction coefficient can be calculated based on the obstacle distance and current vehicle speed, and a targeted slope warning strategy can be formulated.

[0102] This embodiment determines the road adhesion coefficient and rear obstacle information according to the driving environment information when it is necessary to remind the driver of the vehicle rolling down a slope; determines the current speed and vehicle castor angle of the target vehicle according to the vehicle state information; determines the rolling down a slope prediction coefficient according to the road adhesion coefficient and the vehicle castor angle; and determines the rear-end collision prediction coefficient according to the current vehicle speed and the rear obstacle information. In this way, the rolling down a slope prediction coefficient and the rear-end collision prediction coefficient are calculated according to the various parameters in the vehicle state information and the driving environment information, so that a targeted rolling down a slope reminder strategy that is consistent with the current state of the target vehicle can be accurately formulated.

[0103] In addition, an embodiment of the present invention further provides a storage medium, on which a vehicle rolling downhill reminder program is stored. When the vehicle rolling downhill reminder program is executed by a processor, the steps of the vehicle rolling downhill reminder method described above are implemented.

[0104] 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.

[0105] Reference Figure 4 , Figure 4It is a structural block diagram of the first embodiment of the vehicle slope warning device of the present invention.

[0106] like Figure 4 As shown, the vehicle slope slip reminder device provided in the embodiment of the present invention includes:

[0107] The acquisition module 10 is used to acquire vehicle state information and driving environment information of the target vehicle.

[0108] The calculation module 20 is used to determine the slope rolling prediction coefficient and the rear-end collision prediction coefficient according to the vehicle state information and the driving environment information when it is necessary to remind the driver that the vehicle is rolling down a slope.

[0109] The planning module 30 is used to determine a slope slipping warning strategy according to the slope slipping prediction coefficient and the rear-end collision prediction coefficient.

[0110] The execution module 40 is used to execute the slope slip reminder strategy to remind the driver of the slope slip.

[0111] This embodiment obtains the vehicle state information and driving environment information of the target vehicle; when it is necessary to remind the driver of the vehicle rolling down a slope, determines the rolling down slope prediction coefficient and the rear-end collision prediction coefficient according to the vehicle state information and the driving environment information; determines the rolling down slope reminder strategy according to the rolling down slope prediction coefficient and the rear-end collision prediction coefficient; and executes the rolling down slope reminder strategy to remind the driver of the rolling down slope. In this way, the rolling down slope prediction coefficient and the rear-end collision prediction coefficient of the vehicle are calculated and analyzed according to the vehicle state information and the driving environment information, so that different rolling down slope reminder strategies can be made according to the current possibility and degree of danger of the vehicle rolling down a slope, so that the rolling down slope reminder for the driver is graded and more recognizable and targeted, and the user experience is improved.

[0112] In one embodiment, the calculation module 20 is also used to determine the current gear position and current vehicle speed of the target vehicle based on the vehicle status information; when the current gear position is not a reverse gear position and the current vehicle speed is less than a minimum vehicle speed threshold, it is determined that the driver needs to be reminded that the vehicle is rolling downhill.

[0113] In one embodiment, the calculation module 20 is also used to determine the road adhesion coefficient and rear obstacle information according to the driving environment information when it is necessary to remind the driver that the vehicle is rolling down a slope; determine the current vehicle speed and vehicle castor angle of the target vehicle according to the vehicle status information; determine the rolling down a slope prediction coefficient according to the road adhesion coefficient and the vehicle castor angle; and determine the rear-end collision prediction coefficient according to the current vehicle speed and the rear obstacle information.

[0114] In one embodiment, the calculation module 20 is also used to obtain current weather information and the friction coefficient of the current road surface; determine the weather-road surface adhesion coefficient based on the current weather information; determine the slope prediction coefficient based on the road surface adhesion coefficient, the weather-road surface adhesion coefficient, the vehicle castor angle and the friction coefficient of the current road surface.

[0115] In one embodiment, the calculation module 20 is further used to determine the obstacle distance from the rear of the target vehicle according to the rear obstacle information; and determine the rear-end collision prediction coefficient according to the obstacle distance and the current vehicle speed.

[0116] In one embodiment, the planning module 30 is further used to determine a landslide prediction level according to the landslide prediction coefficient; determine a rear-end collision prediction level according to the rear-end collision prediction coefficient; and determine a landslide reminder strategy according to the landslide prediction level and the rear-end collision prediction level.

[0117] In one embodiment, the planning module 30 is further used to query the landslide level strategy table according to the landslide prediction level to obtain multiple alternative landslide response strategies corresponding to the landslide prediction level; query the rear-end collision level strategy table according to the rear-end collision prediction level to obtain multiple alternative rear-end collision response strategies corresponding to the rear-end collision prediction level; fit the alternative landslide response strategy and the alternative rear-end collision response strategy to determine the landslide reminder strategy.

[0118] Since the present device 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.

[0119] 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.

[0120] 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.

[0121] In addition, for technical details not fully described in this embodiment, reference can be made to the vehicle slope rolling reminder method provided in any embodiment of the present invention, and will not be repeated here.

[0122] 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.

[0123] 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.

[0124] 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, 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 enabling 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.

[0125] 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 vehicle rolling downhill reminder method, characterized in that: The vehicle slope slip reminder method comprises: Acquire vehicle status information and driving environment information of the target vehicle, wherein the vehicle status information refers to information related to the current status of the target vehicle, including the current speed, current gear position, and working status information of other vehicle components of the target vehicle, and the driving environment information refers to information related to the road surface on which the target vehicle is currently driving, including the road adhesion coefficient and rear obstacle information of the current road; When it is necessary to remind the driver that the vehicle is rolling down a slope, determining a rolling down a slope prediction coefficient and a rear-end collision prediction coefficient according to the vehicle state information and the driving environment information; Determining a slope slip warning strategy according to the slope slip prediction coefficient and the rear-end collision prediction coefficient; The slope rollback warning strategy is executed to remind the driver that a slope rollback occurs.

2. The method according to claim 1, characterized in that When it is necessary to remind the driver that the vehicle is rolling down a slope, before determining the rolling down a slope prediction coefficient and the rear-end collision prediction coefficient according to the vehicle state information and the driving environment information, the method further includes: Determining the current gear position and current speed of the target vehicle according to the vehicle state information; When the current gear position is not a reverse gear position, and the current vehicle speed is less than a minimum vehicle speed threshold, it is determined that a vehicle rolling downhill reminder is required to be issued to the driver.

3. The method according to claim 1, characterized in that When it is necessary to remind the driver that the vehicle is rolling down a slope, determining a rolling down a slope prediction coefficient and a rear-end collision prediction coefficient according to the vehicle state information and the driving environment information includes: When it is necessary to remind the driver that the vehicle is rolling down a slope, determining the road adhesion coefficient and rear obstacle information according to the driving environment information; Determining the current vehicle speed and vehicle caster angle of the target vehicle according to the vehicle state information; Determining a slope prediction coefficient according to the road adhesion coefficient and the vehicle caster angle; A rear-end collision prediction coefficient is determined according to the current vehicle speed and the rear obstacle information.

4. The method according to claim 3, characterized in that The step of determining a slope prediction coefficient according to the road adhesion coefficient and the vehicle caster angle comprises: Get the current weather information and the friction coefficient of the current road surface; determining a weather-road adhesion coefficient according to the current weather information; The slope prediction coefficient is determined according to the road adhesion coefficient, the weather road adhesion coefficient, the vehicle caster angle and the friction coefficient of the current road surface.

5. The method according to claim 3, characterized in that The determining of the rear-end collision prediction coefficient according to the current vehicle speed and the rear obstacle information includes: Determining the obstacle distance from the rear of the target vehicle according to the rear obstacle information; A rear-end collision prediction coefficient is determined according to the obstacle distance and the current vehicle speed.

6. The method according to claim 1, characterized in that The determining of the slope slipping warning strategy according to the slope slipping prediction coefficient and the rear-end collision prediction coefficient includes: Determining a landslide prediction level according to the landslide prediction coefficient; determining a rear-end collision prediction level according to the rear-end collision prediction coefficient; A slope sliding warning strategy is determined according to the slope sliding prediction level and the rear-end collision prediction level.

7. The method according to claim 6, characterized in that The determining of the slope slip warning strategy according to the slope slip prediction level and the rear-end collision prediction level includes: According to the landslide prediction level, a landslide level strategy table is searched to obtain a plurality of alternative landslide response strategies corresponding to the landslide prediction level; According to the rear-end collision prediction level, a rear-end collision level strategy table is searched to obtain a plurality of candidate rear-end collision response strategies corresponding to the rear-end collision prediction level; The alternative landslide response strategy and the alternative rear-end collision response strategy are fitted to determine the landslide warning strategy.

8. A vehicle slope slip reminder device, characterized in that: The vehicle slope slip reminder device comprises: An acquisition module, used to acquire vehicle state information and driving environment information of a target vehicle, wherein the vehicle state information refers to information related to the current state of the target vehicle, including the current speed, current gear position, and working state information of other vehicle components of the target vehicle, and the driving environment information refers to information related to the road surface on which the target vehicle is currently driving, including the road surface adhesion coefficient and rear obstacle information of the current road; A calculation module, used for determining a slope rolling prediction coefficient and a rear-end collision prediction coefficient according to the vehicle state information and driving environment information when it is necessary to remind the driver that the vehicle is rolling down a slope; A planning module, used for determining a slope slipping warning strategy according to the slope slipping prediction coefficient and the rear-end collision prediction coefficient; The execution module is used to execute the slope slipping reminder strategy to remind the driver of the slope slipping.

9. A vehicle slope warning device, characterized in that: The device comprises: a memory, a processor, and a vehicle rolling downhill reminding program stored in the memory and executable on the processor, wherein the vehicle rolling downhill reminding program is configured to implement the vehicle rolling downhill reminding method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a vehicle rolling downhill reminder program, and when the vehicle rolling downhill reminder program is executed by the processor, the vehicle rolling downhill reminder method according to any one of claims 1 to 7 is implemented.

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