A method, system, medium, and device for assisting safe driving in rainy weather

Abstract

This invention discloses a method, system, medium, and device for assisting safe driving in rainy weather, relating to the field of vehicle safe driving technology. The method includes the following steps: acquiring weather conditions and road elevation parameters of the route, assessing the road hazard level, and adjusting the route according to the hazard level; during the journey along the adjusted route, acquiring real-time road condition parameters and rainfall parameters, determining the water accumulation situation on the road ahead, and determining the vehicle's safety factor based on the water accumulation situation; and determining a safe driving plan based on the vehicle's safety factor. This invention can detect and analyze road surface, vehicle, and other related conditions, receive weather information in advance, and provide drivers with accurate warning information for different rainfall and road conditions. It also coordinates with adjustments to some vehicle-related components to improve vehicle safety in rainy conditions.

Description

Technical Field

[0001] This invention relates to the field of vehicle safe driving technology, and in particular to a method, system, medium and device for assisting safe driving in rainy weather. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] With the rapid development of technology, the automotive industry is also constantly progressing, and cars are gradually entering the lives of millions of residents, bringing people a more convenient and comfortable travel experience. However, at present, there are still many situations that pose significant safety hazards during driving, and there are currently no effective solutions or technologies. For example, during the plum rain season in the Jiangnan region, rain may last for 2-3 weeks. Prolonged rainy weather leads to increased air humidity, water accumulation on the road, and reduced friction between the tires and the ground, making it easy to slip, increasing braking distance, and affecting driving safety. Rain and fog also reduce visibility. Raindrops on the windshield, water accumulation on the side windows and rearview mirrors all affect the driver's vision, especially water splashed by vehicles in front, which may seriously affect the driver's vision, increase driving difficulty, and even threaten life safety. When driving in low-lying areas or areas with deep water, there is a risk of water entering the engine, which may cause the engine to stall or even seriously damage it. Current automotive safety measures for rainy driving mainly involve ABS anti-lock braking systems and ESP electronic stability control systems. It's important to note that these technologies each have limitations and cost considerations in practical applications, and not all are suitable for everyday personal driving. For most drivers, relying on visual observation, official warnings, and traditional methods remains the primary approach.

[0004] The inventors discovered that existing rain warning methods are too simplistic and cannot provide precise assistance based on rainfall intensity or roadside flooding. Specifically, some systems fail to take effective measures in heavy rain or deep flooded areas, and are prone to falsely activating rain assist functions in light rain or on flat, high-altitude roads where adjustments are unnecessary. Furthermore, existing rain assist systems cannot provide early warnings before rain or in areas with localized rain, resulting in vehicles failing to take preventative measures and causing property damage. Therefore, how to comprehensively acquire information about rainy days and provide advance rain assist to minimize vehicle damage has become one of the pressing problems that existing technologies need to solve. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a method, system, medium and device for safe driving in rainy weather, which can detect and analyze road surface, vehicle and other related conditions, receive weather information in advance, and provide drivers with accurate warning information for different rainfall and road conditions, and improve the safety of driving in rainy weather by coordinating with some vehicle-related components.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solution:

[0007] The first aspect of this invention provides a method for assisting safe driving in rainy weather, comprising the following steps:

[0008] Obtain weather conditions and road elevation parameters for the route, assess the hazard level of the route, and adjust the route according to the hazard level.

[0009] During the journey along the adjusted route, real-time road condition parameters and rainfall parameters are obtained to determine the water accumulation on the road ahead. Based on the water accumulation, the safety factor for the vehicle to pass is determined, which includes three coefficients: low, medium, and high.

[0010] The safe driving plan for the vehicle is determined based on the vehicle's safety factor. When the safety factor is high, only a water accumulation warning is issued. When the safety factor is medium, the water crossing plan is determined by adjusting the vehicle's route and the function of vehicle components. When the safety factor is low, it is not recommended to drive through water, and other methods to reach the destination should be considered.

[0011] Furthermore, the specific steps for obtaining weather conditions and road elevation parameters along the route, assessing the hazard level of the route, and adjusting the route based on the hazard level are as follows:

[0012] Obtain rainfall information for the route section in the near future;

[0013] The deepest water depth along the route is predicted using a water accumulation model based on rainfall and the lowest elevation of the route.

[0014] The danger level is determined based on the deepest water depth. The danger levels include safe, relatively safe, and dangerous. If the danger level is dangerous, the route is adjusted.

[0015] Furthermore, ultrasonic sensors are used to collect real-time road condition parameters, and rain sensors are used to collect rainfall parameters.

[0016] Furthermore, the water accumulation situation includes the size of the water accumulation area, the depth of the water accumulation, and the proportion of the water accumulation area in the road.

[0017] Furthermore, flood warnings include voice announcements and light alerts.

[0018] Furthermore, when the blind spot detection function detects a vehicle approaching from behind and rapidly passing through a flooded area, it will provide voice and light alerts and assist the driver in maintaining steering wheel stability.

[0019] Furthermore, when the system detects that the vehicle has stalled in a flooded area, it will prevent the engine from restarting and will automatically call emergency assistance and inform the driver of the vehicle's current information.

[0020] A second aspect of the present invention provides a rain-safe driving assistance system, comprising:

[0021] The route prediction module is configured to obtain weather conditions and road elevation parameters for the route segments, assess the hazard level of the route, and adjust the route according to the hazard level.

[0022] The road condition recognition module is configured to acquire real-time road condition parameters and rainfall parameters while traveling along the adjusted route, determine the water accumulation on the road ahead, and determine the safety factor for the vehicle to pass based on the water accumulation. The safety factor includes three coefficients: low, medium, and high.

[0023] The water crossing plan decision module is configured to determine the safe driving plan of the vehicle based on the vehicle's safety factor. When the safety factor is high, only a water accumulation warning is issued. When the safety factor is medium, the water crossing plan is determined by adjusting the vehicle's passage path and the functions of vehicle components. When the safety factor is low, it is not recommended for the vehicle to cross the water, and other methods to reach the destination should be considered.

[0024] A third aspect of the present invention provides a medium having a program stored thereon, which, when executed by a processor, implements the steps of the rain safety driving assistance method as described in the first aspect of the present invention.

[0025] A fourth aspect of the present invention provides an apparatus including a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the rain safety driving assistance method as described in the first aspect of the present invention.

[0026] The above one or more technical solutions have the following beneficial effects:

[0027] This invention discloses a method, system, medium, and device for assisting safe driving in rainy weather. It uses an onboard ultrasonic sensor to detect and analyze road surface, vehicle, and other related conditions, providing the driver with certain early warning information and cooperating with some vehicle-related functions to ensure driving safety in rainy conditions as much as possible.

[0028] This invention significantly improves vehicle safety by predicting water accumulation along the upcoming route and allowing for route changes in advance. Furthermore, if unpredictable road imperfections are encountered during driving, the invention can assess the water accumulation situation in real time and develop appropriate wading plans, further ensuring vehicle safety.

[0029] This invention provides multi-level safety warnings and different response decisions for different safety levels, minimizing the loss of manpower and resources caused by vehicles accidentally entering deep water areas, greatly improving driving safety and providing theoretical support for the further development of autonomous driving.

[0030] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0031] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0032] Figure 1 This is a flowchart of the rain-time safe driving assistance method in Embodiment 1 of the present invention;

[0033] Figure 2 This is a schematic diagram of the security level correspondence scheme in Embodiment 1 of the present invention. Detailed Implementation

[0034] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0035] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0036] Example 1:

[0037] Embodiment 1 of the present invention provides a method for assisting safe driving in rainy weather, such as... Figure 1 As shown, it includes the following steps:

[0038] Step 1: Obtain weather conditions and road elevation parameters for the route, assess the hazard level of the route, and adjust the route according to the hazard level.

[0039] Step 1.1: Obtain rainfall information for the route section over a future period. Rainfall information includes the amount, duration, and specific location of rainfall before, during, and after the rainfall. Before rainfall indicates that it has not yet started raining, but rain is possible along the route; this is an estimate of the rainfall information. During rainfall indicates that it is currently raining on the route section. After rainfall indicates that the rainfall has ended, but there may be standing water on the road.

[0040] Information regarding the rainfall can be obtained from weather forecasts.

[0041] Step 1.2: Using a water accumulation model, predict the deepest water accumulation depth of the route based on rainfall and the lowest elevation of the route.

[0042] In this embodiment, the water accumulation model is constructed using a deep learning convolutional neural network. It is trained using road data and rainfall data from an existing database as a training set to output water accumulation depth. The model identifies the lowest elevation road segment along the route and obtains road data for that area, including road width, number of drainage outlets, and elevation parameters relative to the surrounding terrain. The water accumulation model is then used to predict the water accumulation depth in that area.

[0043] Step 1.3: Determine the danger level based on the deepest water depth. The danger level includes safe, relatively safe, and dangerous. If the danger level is dangerous, then adjust the route.

[0044] When the predicted water depth in step 1.2 is less than 15 cm, the danger level is safe; when it is between 15 cm and 30 cm, the danger level is relatively safe; and when it is greater than 30 cm, the danger level is dangerous. In this case, the route needs to be adjusted and the route needs to be replanned.

[0045] This invention can proactively avoid dangers by predicting road flooding conditions before the journey begins, preventing vehicles from encountering flooded areas and having to turn back, take detours, or accidentally enter low-lying culverts, thus preventing unnecessary losses. However, the above prediction process cannot accurately predict potholes on the road surface, so further real-time detection and identification of flooding is still needed during the journey. The specific steps are as follows:

[0046] like Figure 1As shown, during the journey along the adjusted path, the user activates the rain mode assist function on the vehicle's central control screen. The ultrasonic sensors then monitor the depth of water ahead. When the water depth is less than 20 centimeters, the system plays a voice alert, illuminates the ambient lights, and tightens the seatbelts as a warning. When the water depth exceeds 20 centimeters, the system plans obstacle avoidance and follows the planned path to bypass the deepest part of the water. If this is not possible, the system replans the route. If the vehicle stalls in a flooded area and cannot continue, the system will prevent engine restart, activate hazard warning lights, automatically dial emergency assistance, and provide the vehicle's exact location, license plate number, and current situation. Simultaneously, it provides real-time assessment of the water situation to support the user's judgment. When traversing flooded areas, vehicles equipped with air suspension can automatically adjust the vehicle height to its maximum position.

[0047] Vehicles equipped with blind spot detection will alert the driver by playing a voice message saying "Please be aware of vehicles approaching from behind" if they detect a vehicle about to pass quickly through a flooded area. The system will also assist the driver in maintaining steering wheel stability.

[0048] This is to achieve the auxiliary function of the device in ensuring safe driving in rainy weather. The specific steps are as follows:

[0049] Step 2: While traveling along the adjusted route, obtain real-time road condition parameters and rainfall parameters to determine the water accumulation situation on the road ahead, and determine the safety factor for the vehicle to pass based on the water accumulation situation.

[0050] Step 2.1: Obtain real-time traffic and rainfall parameters.

[0051] In this embodiment, ultrasonic sensors are used to collect real-time road condition parameters, and rain sensors are used to collect rainfall parameters. Specifically, ultrasonic sensors are installed on both the top and bottom of the vehicle. The ultrasonic sensor on the roof emits ultrasonic waves at a certain angle to the horizontal plane to measure the depth of water accumulation in front of the vehicle, enabling early warning. The ultrasonic sensor installed on the bottom of the vehicle emits ultrasonic pulses downwards to further detect wading depth in real time. When the ultrasonic pulses emitted by the sensor encounter obstacles, the ultrasonic waves are reflected back. While ultrasonic waves can propagate in air, liquids, and even solids, they are reflected at interfaces between different media. This characteristic can be used to estimate the potential wading depth of the vehicle. The ultrasonic sensors transmit the collected data to the vehicle's infotainment system, and the instrument panel displays the vehicle's wading depth in real time. Based on the information identified by the ultrasonic sensors, the system makes different judgments based on the water depth.

[0052] Step 2.2: Assess the water level on the road ahead.

[0053] The water accumulation situation includes the size of the water area, the depth of the water, and the proportion of the water area in the road. Based on the water accumulation situation, it can be categorized as: small and shallow water, large and shallow water, small and deep water that can be bypassed, large and deep water that can be bypassed, small and deep water that cannot be bypassed, and large and deep water that cannot be bypassed. The determination of depth and size can be customized. In this embodiment, water with a depth of less than 20 cm is considered shallow water, and water with a depth of more than 20 cm is considered deep water. Water with its widest point less than the distance between the wheels on both sides is considered small water, and water with its widest point greater than the distance between the wheels on both sides is considered large water. This allows smaller water accumulations to be crossed between the wheels. The proportion of the water area in the road is determined based on the road width. Specifically, based on the length of the widest point of the water accumulation, two boundaries where the water depth is less than 20 cm are found. If at least one point from each boundary to the nearest road edge is greater than the width of a vehicle, then the water is considered bypassable; otherwise, it is considered unbypassable.

[0054] This invention enables the detection of road width using existing methods such as target detection and sensor ranging by installing distance sensors, cameras, and other devices on both sides of the vehicle body.

[0055] Step 2.3: Determine the safety factor for vehicles to pass through based on the water accumulation situation.

[0056] The safety factor includes three levels: low, medium, and high. The safety factor can be customized based on the water accumulation conditions described above.

[0057] Small, shallow, large, shallow, and small, deep, passable water are all considered high-safety-factor scenarios. Large, deep, passable water and small, deep, non-passable water are considered medium-safety-factor scenarios. Large, deep, non-passable water is considered low-safety-factor scenarios.

[0058] Step 3: Determine the safe driving plan for the vehicle based on its safety factor, including, for example... Figure 2 As shown, when the safety factor is high, only a water accumulation warning is issued; when the safety factor is medium, the water crossing plan is determined by adjusting the vehicle's route and the functions of vehicle components; when the safety factor is low, it is not recommended to drive through water, and other methods to reach the destination should be considered.

[0059] Step 3.1: When the safety factor of the detected water depth is high, only a water accumulation warning will be issued. The water accumulation warning includes voice announcements and light prompts. Overall, the threat to vehicle safety is relatively small. The system will play a voice message saying "We are passing through a flooded section of road, please drive carefully," and the ambient lights inside the vehicle will flash yellow. These two methods will remind the driver that the vehicle is wading through water.

[0060] Step 3.2: When the safety level of the water accumulation is detected as medium, and it may pose a threat to the vehicle, the system will first repeatedly play the voice message "The water here is deep, and there is a high risk of continuing to drive," to warn the driver that the water in the area is too deep and risky, and give the driver enough time to decide whether to continue or find an alternative route.

[0061] Subsequently, if the driver insists on passing through the flooded area, they should first observe the information on moving and fixed obstacles on the road. Moving obstacles include pedestrians and cars passing by, while fixed obstacles include parked vehicles and bollards on the roadside. In this embodiment, when planning the obstacle avoidance path, portions of the floodwater deeper than 20 centimeters are considered fixed obstacles, which simplifies the obstacle avoidance process. The vehicle's obstacle avoidance path is planned based on the fixed obstacles. After the moving obstacle has passed, the vehicle is guided to proceed according to the planned obstacle avoidance path, or the autonomous driving function is activated to follow the obstacle avoidance path.

[0062] In one specific implementation, when the blind spot detection function detects that a vehicle is about to pass quickly through a waterlogged area from behind, it will provide voice and light prompts and assist the driver in maintaining steering wheel stability.

[0063] Specifically, for vehicles equipped with blind spot detection, if a vehicle is detected approaching quickly through a flooded area, in addition to the blind spot monitoring system's own warning lights, the system will also play a voice prompt saying "Please be aware of vehicles approaching from behind." This minimizes the risk of startling the driver (when a vehicle approaches quickly through a flooded area, it may splash a large amount of water onto the windshield, affecting visibility and causing a scare). This allows the driver to prepare for potential obstruction of vision and assists in maintaining steering wheel stability, ensuring that the vehicle's direction does not change drastically due to driver startle, potentially leading to rollover or a traffic accident.

[0064] In one specific implementation, water safety is also enhanced by adjusting the functions of vehicle components.

[0065] Specifically, when a vehicle is detected passing through a flooded section of road, vehicles equipped with air suspension can automatically adjust their height to the highest setting to increase their safe wading capability. When the vehicle is attempting to avoid obstacles, it can also reduce its size by automatically retracting the side mirrors, if necessary, to smoothly avoid obstacles.

[0066] Step 3.3: When the safety factor of the accumulated water is low, driving through it poses a significant risk of water ingress. When the engine stalls, the system will play a voice message: "Deep water ahead, we recommend stopping." Simultaneously, the ambient lights inside the vehicle will flash red, and the seatbelts will tighten. This uses auditory, visual, and tactile senses to warn the driver that the water ahead is too deep and not to drive through the area. Since the water is impassable at this point, a new route will be selected. Similarly, when the safety factor of the accumulated water is considered medium, even if the water level indicates that detours are possible, if other obstacles prevent detours, a new route will also be selected.

[0067] In one specific implementation, when the vehicle is detected to have stalled in a flooded area, the engine restart function is disabled, and an emergency rescue number is automatically dialed while informing the driver of the vehicle's current information.

[0068] Specifically, when a vehicle stalls in a flooded area due to driver error or other reasons, the system will first prevent the engine from being restarted (as this could cause water to be sucked into the engine, resulting in serious damage), activate the vehicle's hazard warning lights (double flashers, so that other vehicles can see its position and avoid a collision), and automatically dial emergency rescue numbers (such as China's 110 or the insurance company's roadside assistance hotline), providing the vehicle's exact location, license plate number, and current situation. Simultaneously, the system will also assess the flooding situation in real time, providing support for the user to determine the current condition.

[0069] This invention, through monitoring with ultrasonic sensors, controlling the vehicle's infotainment system, invoking vehicle functions, and responding to different water-wading strategies, aims to minimize the risk of vehicles breaking down in water and assist in safe driving in rainy weather. This is especially beneficial at night or in poor visibility conditions, where drivers often struggle to visually judge water depth. The method described in this invention effectively reduces safety hazards caused by blindly wading through water.

[0070] Example 2:

[0071] Embodiment 2 of the present invention provides a rain-time safe driving assistance system, comprising:

[0072] The route prediction module is configured to obtain weather conditions and road elevation parameters for the route segments, assess the hazard level of the route, and adjust the route according to the hazard level.

[0073] The road condition recognition module is configured to acquire real-time road condition parameters and rainfall parameters while traveling along the adjusted route, determine the water accumulation on the road ahead, and determine the safety factor for the vehicle to pass based on the water accumulation. The safety factor includes three coefficients: low, medium, and high.

[0074] The water crossing plan decision module is configured to determine the safe driving plan of the vehicle based on the vehicle's safety factor. When the safety factor is high, only a water accumulation warning is issued. When the safety factor is medium, the water crossing plan is determined by adjusting the vehicle's passage path and the functions of vehicle components. When the safety factor is low, it is not recommended for the vehicle to cross the water, and other methods to reach the destination should be considered.

[0075] Example 3:

[0076] Embodiment 3 of the present invention provides a medium on which a program is stored, which, when executed by a processor, implements the steps of the rain-safe driving assistance method as described in Embodiment 1 of the present invention.

[0077] Example 4:

[0078] Embodiment 4 of the present invention provides a device including a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the rain safety driving assistance method as described in Embodiment 1 of the present invention.

[0079] The steps and methods involved in Examples 2, 3 and 4 above correspond to those in Example 1. For specific implementation details, please refer to the relevant description section of Example 1.

[0080] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any particular combination of hardware and software.

[0081] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

[0082] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for assisting safe driving in rainy weather, characterized in that, Includes the following steps: The process involves obtaining weather conditions and road elevation parameters for the route, assessing the hazard level, and adjusting the route accordingly. Specifically, this includes: obtaining rainfall data for the route over a future period; using a water accumulation model to predict the deepest water accumulation depth for the route based on rainfall and the lowest elevation location; determining the hazard level based on the deepest water accumulation depth, which includes safe, relatively safe, and dangerous levels; and adjusting the route if the hazard level is dangerous. During the journey along the adjusted route, real-time traffic and rainfall parameters are acquired to determine the water accumulation situation on the road ahead. Based on the water accumulation situation, the safety factor for vehicle passage is determined, which includes three levels: low, medium, and high. Real-time traffic parameters are collected using ultrasonic sensors, and rainfall parameters are collected using rain sensors. The water accumulation situation includes the size of the water accumulation area, the depth of the water accumulation, and the proportion of the water accumulation area in the road. The safe driving plan for the vehicle is determined based on the vehicle's safety factor. When the safety factor is high, only a water accumulation warning is issued. When the safety factor is medium, the water crossing plan is determined by adjusting the vehicle's route and the function of vehicle components. When the safety factor is low, it is not recommended to drive through water, and other methods to reach the destination should be considered.

2. The rain-time safe driving assistance method as described in claim 1, characterized in that, Flood warnings include voice announcements and light alerts.

3. The rain-time safe driving assistance method as described in claim 1, characterized in that, When the blind spot detection function detects a vehicle approaching from behind and rapidly passing through a flooded area, it will provide voice and light alerts and assist the driver in maintaining steering wheel stability.

4. The rain-time safe driving assistance method as described in claim 1, characterized in that, When the system detects that the vehicle has stalled in a flooded area, it will prevent the engine from restarting and will automatically call emergency assistance and provide the vehicle's current information.

5. A rain-time safe driving assistance system, characterized in that, include: The route prediction module is configured to acquire weather conditions and road elevation parameters of the route segments, assess the hazard level of the route, and adjust the route according to the hazard level. The specific steps are as follows: acquire the rainfall situation of the route segments in the future; use a water accumulation model to predict the deepest water accumulation depth of the route segments based on the rainfall situation and the lowest elevation position of the route segments; determine the hazard level based on the deepest water accumulation depth, which includes safe, relatively safe, and dangerous. If the hazard level is dangerous, the route is adjusted. The road condition recognition module is configured to acquire real-time road condition parameters and rainfall parameters while traveling along the adjusted route, determine the water accumulation situation on the road ahead, and determine the safety factor for vehicle passage based on the water accumulation situation. The safety factor includes three coefficients: low, medium, and high. Real-time road condition parameters are collected using ultrasonic sensors, and rainfall parameters are collected using rain sensors. The water accumulation situation includes the size of the water accumulation area, the depth of the water accumulation, and the proportion of the water accumulation area in the road. The water crossing plan decision module is configured to determine the safe driving plan of the vehicle based on the vehicle's safety factor. When the safety factor is high, only a water accumulation warning is issued. When the safety factor is medium, the water crossing plan is determined by adjusting the vehicle's passage path and the functions of vehicle components. When the safety factor is low, it is not recommended for the vehicle to cross the water, and other methods to reach the destination should be considered.

6. A computer-readable storage medium, characterized in that, It stores multiple instructions, which are adapted to be loaded by the processor of the terminal device and executed by the rain safety driving assistance method according to any one of claims 1-4.

7. A terminal device, characterized in that, The method includes a processor and a computer-readable storage medium, the processor being used to implement various instructions; the computer-readable storage medium being used to store a plurality of instructions adapted to be loaded by the processor and executed by the processor for the rain-safe driving assistance method according to any one of claims 1-4.

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