Vehicle travel control method based on waterlogged road surface and related device

Abstract

The application discloses a vehicle driving control method based on a waterlogged road surface and a related device, and the method comprises the following steps: presetting a control mode and a control strategy of a vehicle; acquiring real-time sensing signals of a road surface in front of the vehicle, and judging waterlogging information of the road surface in front of the vehicle by using a terrain recognition AI algorithm; based on the judgment result of the waterlogging information of the road surface in front of the vehicle, starting the control mode and the control strategy corresponding to the judgment result. By acquiring the sensing signals of the road surface in front of the vehicle in real time and accurately judging the waterlogging information of the road surface in front of the vehicle by using the terrain recognition AI algorithm, the waterlogging condition of the road surface in front of the vehicle can be effectively judged in time, the waterlogging recognition accuracy is improved, the driver can be timely reminded, the corresponding control mode and control strategy of the vehicle can be automatically started, a help signal can be sent in time, and the vehicle can float on the water surface, so that an escape space is provided for the driver and the passenger.

Description

Technical Field

[0001] This invention belongs to the field of vehicle safety technology, specifically relating to a vehicle driving control method and related devices based on flooded road surfaces. Background Technology

[0002] During driving, vehicles may encounter various water-prone surfaces, such as flooded city roads, low-lying areas, and unpaved off-road surfaces. However, drivers often struggle to accurately determine whether the road ahead is flooded and the depth of the water, especially in adverse weather conditions. Currently, mass-produced vehicles with automatic wading detection primarily rely on lidar or cameras for identification, prompting the driver to manually activate the wading mode on the vehicle's large screen. While this method achieves approximately 95% accuracy under normal conditions, its accuracy drops drastically to 80% or even fails to detect wading under extreme weather conditions, posing a risk of vehicle submersion and drowning for occupants. Furthermore, existing technologies lack vehicles with automatic wading activation, and proposed automatic wading activation methods are either inaccurate or fail to activate automatically in extreme weather. Additionally, current wading automatic control solutions often lack remote distress and buoyancy functions, failing to provide sufficient escape time and remote distress signals for occupants. Summary of the Invention

[0003] The purpose of this invention is to provide a vehicle driving control method and related device based on flooded roads. On the one hand, it solves the technical defect of existing technology that vehicles cannot effectively judge the depth of water on flooded roads, resulting in the failure of the vehicle's automatic control to be activated in time. On the other hand, it solves the technical defect that existing vehicles cannot realize remote distress calls and the vehicle's floating function after wading through water, thus failing to provide sufficient escape time for drivers and passengers.

[0004] To achieve the above objectives, the present invention employs the following technical solution:

[0005] Firstly, a vehicle driving control method based on flooded road surfaces is provided, including:

[0006] Preset vehicle control modes and control strategies;

[0007] The system acquires real-time perception signals of the road surface ahead of the vehicle and uses terrain recognition AI algorithms to determine the water accumulation information on the road surface ahead.

[0008] Based on the judgment result of the water accumulation on the road ahead, activate the vehicle control mode and control strategy corresponding to the judgment result;

[0009] The preset vehicle control mode and control strategy specifically include:

[0010] Different vehicle control modes and control strategies are preset according to the water depth on the road surface; wherein, the water depth on the road surface includes wading depth and floating depth, the vehicle control modes include automatic wading control mode, automatic floating control mode and automatic distress control mode, and the control strategies include wading control strategy, floating control strategy and distress control strategy.

[0011] When the water depth on the road surface is the wading depth, the vehicle's control mode is preset to the automatic wading control mode, and the wading control strategy is executed.

[0012] When the water depth on the road surface is the floating depth, the vehicle's control mode is preset to either the floating automatic control mode or the distress automatic control mode, and the floating control strategy or the distress control strategy is executed.

[0013] Acquire real-time perception signals of the road surface ahead of the vehicle, and use terrain recognition AI algorithms to determine the water accumulation information on the road surface ahead, specifically including:

[0014] A binocular camera and a water level sensor are installed at the front of the vehicle. The vehicle chassis domain control ECU integrates a terrain recognition AI algorithm. During the vehicle's operation, the binocular camera acquires real-time perception signals of the road surface in front of the vehicle, and the terrain recognition AI algorithm determines the water accumulation information on the road surface ahead.

[0015] Furthermore, the water-related control strategy specifically includes:

[0016] Request the vehicle controller to reduce the power torque output and implement torque-limiting speed control for the vehicle;

[0017] Request that the vehicle's air springs be raised to their highest position to increase the vehicle's ground clearance and improve its passability;

[0018] Request the vehicle suspension shock absorbers to reduce damping force and improve vehicle ride comfort;

[0019] Request vehicle chassis domain control to activate vehicle chassis wading mode to improve vehicle off-road capability;

[0020] Request the human-machine interface to display the wading depth and provide a hazard warning to the driver.

[0021] Furthermore, the floating control strategy specifically includes:

[0022] The vehicle's infotainment system prompts the driver via voice and text whether to activate the water-filled airbags.

[0023] The vehicle is requested to open its sunroof so that the driver can escape through it.

[0024] Request that the vehicle windows close automatically to prevent water from entering the vehicle interior;

[0025] Request the vehicle to automatically activate its hazard lights and alarm.

[0026] Furthermore, the distress control strategy specifically includes:

[0027] The system requests the vehicle's main unit to send a distress signal to the remote monitoring system to initiate an emergency rescue, and automatically saves the number of passengers, their vital signs, and the vehicle's movement status during its floating process.

[0028] Furthermore, the road surface water information refers to the depth of water accumulation on the road surface.

[0029] Secondly, a vehicle is provided, including a vehicle body, on which a chassis domain controller, a water level sensor, and a buoyancy airbag device are installed. The chassis domain controller is electrically connected to the buoyancy airbag device and the water level sensor. The vehicle body drives using the vehicle driving control method based on flooded road surfaces as described above.

[0030] Furthermore, the floating airbag device includes an upper shell, a lower shell, an airbag, and an ECU gas generator. The airbag is laid flat between the upper shell and the lower shell, and the ECU gas generator is fixed on the upper shell and rigidly connected to the airbag.

[0031] Thirdly, a vehicle driving control system based on flooded road surfaces is provided, including:

[0032] The preset module is used to preset the vehicle's control mode and control strategy. The control mode includes an automatic vehicle wading control mode, an automatic floating control mode, and an automatic distress control mode. The control strategy includes a wading control strategy, a floating control strategy, and a distress control strategy.

[0033] The acquisition module is used to acquire real-time perception signals of the road surface in front of the vehicle through a binocular camera and a water level sensor.

[0034] The judgment module has a built-in terrain recognition AI algorithm, which is used to process the real-time sensing signal using the terrain recognition AI algorithm to judge the water accumulation information on the road ahead. The water accumulation information includes the wading depth and floating depth information corresponding to the water accumulation depth on the road.

[0035] The activation module is used to activate the vehicle control mode and control strategy corresponding to the judgment result based on the judgment result of the water accumulation information on the road ahead.

[0036] Fourthly, a mobile terminal is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the vehicle driving control method based on flooded road surfaces as described above.

[0037] Fifthly, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the vehicle driving control method based on flooded road surfaces as described above.

[0038] In a sixth aspect, a computer program product is provided, including computer instructions that instruct a computing device to perform operations corresponding to the vehicle driving control method based on flooded road surfaces as described above.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. By acquiring real-time perception signals of the road surface ahead of the vehicle and using terrain recognition AI algorithms to accurately determine the water accumulation information on the road ahead, the system can promptly and effectively determine the water accumulation situation on the road surface ahead of the vehicle. This not only improves the accuracy of water accumulation identification but also promptly alerts the driver, thereby significantly improving the driving safety of the vehicle on flooded roads. In addition, based on the judgment of the water accumulation situation, the vehicle can automatically activate the corresponding vehicle control mode and control strategy, promptly send out distress signals, and make the vehicle float on the water surface, providing an escape space for the driver and passengers.

[0041] 2. By pre-setting different vehicle control modes and strategies based on the depth of water accumulation on the road surface, this method achieves refined control of vehicle driving, ensuring that the vehicle can take the most appropriate measures when driving on different waterlogged road surfaces, thereby improving driving safety and stability.

[0042] 3. After the vehicle has been in water, the corresponding automatic water-wading control mode and water-wading control strategy can effectively improve the vehicle's driving ability and enable the vehicle to safely pass through the water-wading area.

[0043] 4. Through voice and text prompts on the vehicle's infotainment system, drivers can quickly learn that the vehicle is in a floating state and be informed whether to activate the water-filled airbags. This immediate information feedback helps drivers react quickly to emergencies and take appropriate measures to ensure their own and the vehicle's safety.

[0044] 5. During the process of the vehicle floating in water, by requesting the vehicle host to send a distress signal to the remote monitoring system, the rescue procedure can be quickly initiated. After receiving the distress signal, the remote monitoring system can immediately locate the vehicle's position and dispatch rescue resources to the scene, thereby greatly shortening the rescue response time.

[0045] 6. By installing a binocular camera at the front of the vehicle, stereoscopic image information of the road surface in front of the vehicle can be obtained. Compared with a monocular camera, a binocular camera can provide more accurate depth perception, which helps to more accurately judge the water accumulation on the road surface ahead. At the same time, the addition of a water level sensor provides direct data support for the measurement of water depth, further improving the accuracy of water accumulation identification.

[0046] 7. The depth of water accumulation is the most direct and critical indicator for assessing the water accumulation on the road. By obtaining information on the depth of water accumulation on the road, vehicles can accurately judge the road conditions ahead and make corresponding driving decisions, which helps to avoid vehicles from being in danger due to misjudging the water accumulation.

[0047] 8. The vehicle body adopts a vehicle driving control method based on waterlogged roads, which enables the vehicle to automatically adjust its driving strategy according to the water level on the road. At the same time, combined with real-time data from water level sensors, the vehicle can accurately determine the water depth and take appropriate control measures to enhance the vehicle's driving stability and safety on waterlogged roads.

[0048] 9. The airbag is laid flat between the upper and lower shells. This design makes the installation of the water-floating airbag device on the vehicle more compact and does not take up too much space. At the same time, the upper and lower shells provide solid support and protection for the airbag, ensuring its stability and safety in the uninflated state. Attached Figure Description

[0049] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0050] Figure 1 A flowchart of the vehicle driving control method based on flooded road surface provided by the present invention;

[0051] Figure 2 This is a diagram of the automatic identification algorithm model for wading roads in vehicles provided by the present invention;

[0052] Figure 3 This invention provides an algorithm model diagram for the automatic opening of water-crossing surfaces in vehicles.

[0053] Figure 4 This is a schematic diagram of the installation of the water level sensor in the vehicle provided by the present invention;

[0054] Figures 5-7 This invention provides a schematic diagram of the wading height of a vehicle on different road surfaces.

[0055] Figure 8 A schematic diagram of the vehicle mid-float water airbag deployment control algorithm model provided by the present invention;

[0056] Figure 9 This invention provides an algorithm model diagram for the automatic activation of the distress module in a vehicle.

[0057] Figure 10 This is a schematic diagram of the vehicle mid-float water airbag device provided by the present invention;

[0058] Figure 11 A first-view schematic diagram of the installation of the vehicle mid-float water airbag device provided by the present invention;

[0059] Figure 12 A second-view schematic diagram of the vehicle mid-float water airbag device provided by the present invention;

[0060] Figure 13 A schematic diagram of a vehicle driving control system based on flooded roads provided for this invention;

[0061] The components include: 1. Frame; 2. Front bumper beam; 3. Water level sensor; 4. Upper housing; 5. Gas generator; 6. Airbag; 7. Lower housing; 8. Floating airbag device; 9. Vehicle body; 10. Bolts. Detailed Implementation

[0062] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0063] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0064] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0065] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper," "lower," "horizontal," or "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Furthermore, terms such as "first" and "second" are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0066] Furthermore, the use of the term "horizontal" does not imply that the component must be absolutely horizontal, but rather that it can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0067] In the description of the embodiments of the present invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific circumstances.

[0068] During driving, vehicles may encounter various water-prone surfaces, such as flooded city roads, low-lying areas, and unpaved off-road surfaces. However, drivers often struggle to accurately determine whether the road ahead is flooded and the depth of the water, especially in adverse weather conditions. Currently, mass-produced vehicles with automatic wading detection primarily rely on lidar or cameras for identification, prompting the driver to manually activate the wading mode on the vehicle's large screen. While this method achieves approximately 95% accuracy under normal conditions, its accuracy drops drastically to 80% or even fails to detect wading under extreme weather conditions, posing a risk of vehicle submersion and drowning for occupants. Furthermore, existing technologies lack vehicles with automatic wading activation, and proposed automatic wading activation methods are either inaccurate or fail to activate automatically in extreme weather. Additionally, current wading automatic control solutions often lack remote distress and buoyancy functions, failing to provide sufficient escape time and remote distress signals for occupants.

[0069] To address the aforementioned technical deficiencies, the inventors have provided a vehicle driving control method and related device based on flooded road surfaces.

[0070] The present invention will now be described in further detail with reference to the accompanying drawings:

[0071] In a first aspect, embodiments of the present invention provide a vehicle driving control method based on flooded road surfaces, such as... Figure 1 As shown, it includes:

[0072] S101. Preset the vehicle's control mode and control strategy; For example, due to the influence of natural environment, weather and other factors, there will be a certain amount of water on the road. The judgment of the water depth mainly depends on the driver's driving experience. When the vehicle is driving on a road with water, if the driver makes a mistake in judgment, the vehicle will be stuck in the water, causing driving safety hazards and even endangering personal safety. In order to improve the vehicle's water-wading ability and avoid the vehicle being unable to pass through the water smoothly after wading, or the vehicle being unable to automatically send a distress signal to the remote platform, the vehicle's control mode and the corresponding vehicle control strategy are preset in advance before the vehicle is driven, so as to improve the safety of the vehicle after wading. Specifically, in the process of presetting vehicle control modes and strategies, different vehicle control modes and strategies need to be preset according to the depth of water accumulation on the road surface. Broadly speaking, road surface water depth generally includes two types: one is the wading depth when the water level reaches half the height of the vehicle's tires; the other is the floating depth when the water level reaches the height of the vehicle's door handles. To specifically address the impact of these two types of road surface water depths on vehicles, the vehicle control modes are linked to the road surface water depth. These control modes can be divided into automatic wading control mode, automatic floating control mode, and automatic distress signal control mode. Furthermore, the control strategies are corresponding to the control modes and can be divided into wading control strategy, floating control strategy, and distress signal control strategy.

[0073] After the above presets are completed, the activation conditions for the control mode and control strategy are set. It can be understood that when the vehicle is driving on a road with standing water and the water depth reaches the wading depth, the vehicle will activate the automatic wading control mode and wading control strategy; when the vehicle is driving on a road with standing water and the water depth reaches the floating depth, the vehicle will activate the floating control mode and floating control strategy. At the same time, the driver can simultaneously activate the automatic distress control mode and distress control strategy according to the vehicle's situation in the standing water.

[0074] By following the steps outlined above, vehicle safety during wading can be significantly improved. This pre-set method ensures that the vehicle takes the most appropriate measures at different water depths, reducing the risk of driver misjudgment. Simultaneously, linking the vehicle's control mode to the road water depth allows the vehicle to automatically identify water conditions and make corresponding adjustments. This intelligent control enhances the vehicle's ability to handle complex road conditions, especially in potentially dangerous environments like flooded roads. Furthermore, by using pre-set control modes and strategies, human interference can be reduced, ensuring greater stability and reliability during wading and resolving the subjectivity and uncertainty inherent in traditional methods that rely on driver experience to judge water depth.

[0075] In addition, when a vehicle is unable to pass through a flooded area or faces the danger of floating, the automatic distress control mode and distress control strategy can quickly activate the distress mechanism and send a distress signal to a remote platform, improving distress efficiency and giving drivers and passengers more chances to escape and more time for rescue.

[0076] In terms of vehicle performance, the preset wading control and buoyancy control strategies can be customized according to the specific conditions of the vehicle and the depth of the water to optimize vehicle performance. For example, when wading, the vehicle can adjust parameters such as suspension height and power output to ensure stable passage; when buoyancy, the vehicle can activate emergency measures such as buoyancy airbags. Furthermore, the preset control modes and strategies make the vehicle more intelligent and automated during wading, reducing the burden on the driver. Drivers do not need to worry too much about the water situation and can focus more on driving itself, thus improving the driving experience.

[0077] S102. Obtain real-time perception signals of the road surface ahead of the vehicle, and use terrain recognition AI algorithms to determine the water accumulation information on the road surface ahead; for example, after the vehicle's control mode and control strategy are preset, a binocular camera and a water level sensor are installed at the front of the vehicle, and terrain recognition AI algorithms (automatic water wading road recognition algorithm), automatic water wading road opening algorithm, water buoyancy airbag device opening control algorithm, and emergency module automatic opening algorithm are integrated into the vehicle chassis domain control ECU; during vehicle operation, the binocular camera is used to obtain real-time perception signals of the road surface ahead of the vehicle, and the terrain recognition AI algorithm integrated on the vehicle chassis domain control ECU is used to determine the water accumulation information on the road surface ahead, where the water accumulation information is actually the depth of the water on the road surface. In the above steps, the installation of binocular cameras enables the vehicle to acquire real-time 3D image information of the road surface ahead, providing an accurate data foundation for terrain recognition. Through terrain recognition AI algorithms, the vehicle can quickly and accurately determine the water accumulation situation on the road ahead, including the water depth, providing crucial information for subsequent control decisions. The automatic wading road activation algorithm, the water-filled airbag deployment control algorithm, and the emergency call module activation algorithm integrated in the vehicle's chassis domain control ECU enable intelligent control of the vehicle in wading situations. These algorithms can automatically adjust the vehicle's control mode and strategy based on real-time perceived road water accumulation information, without requiring manual intervention from the driver, thus improving efficiency and accuracy. Moreover, the terrain recognition AI algorithm can identify various road conditions, not just wading roads, but also other complex road conditions such as mud and gravel. This allows the vehicle to adopt the most appropriate control strategy in various complex road conditions, enhancing its passability and adaptability. Furthermore, the combination of real-time perception and intelligent control enables the vehicle to react quickly when encountering wading roads, avoiding safety accidents caused by driver misjudgment or delayed reaction. When a vehicle is driving on a road with deep water, the automatic deployment algorithm of the buoyancy airbag provides additional safety in extreme water-floating situations, helping the vehicle to float stably and await rescue. The automatic activation algorithm of the distress signal module can quickly activate the distress mechanism when the vehicle encounters danger, sending a distress signal to a remote platform, improving rescue efficiency and buying more rescue time for the driver and passengers, especially when the vehicle is stuck in deep water or unable to extricate itself. Finally, the combination of intelligent control and real-time perception allows drivers to be more composed and confident when facing flooded roads. Drivers don't need to worry too much about the water situation and can focus more on driving itself and enjoy the driving process.

[0078] S103. Based on the judgment result of the water accumulation information on the road ahead, activate the vehicle control mode and control strategy corresponding to the judgment result. For example, when the water depth on the road ahead is determined to be the wading depth, the vehicle control mode is the automatic wading control mode, and the wading control strategy is executed. The specific control strategy includes requesting the vehicle controller to reduce the power torque output and limit the vehicle's torque speed; requesting the vehicle suspension air springs to rise to the highest level to increase the vehicle's ground clearance and improve the vehicle's passability; requesting the vehicle suspension shock absorbers to reduce the damping force to improve the vehicle's ride comfort; requesting the vehicle chassis domain control to activate the vehicle chassis wading mode to improve the vehicle's off-road capability; and requesting the human-machine interface to display the wading depth and provide a hazard warning to the driver. The above control strategies can be activated sequentially or simultaneously, without limitation. Specifically, requesting the vehicle controller to reduce power torque output effectively controls the vehicle's speed during wading, preventing risks such as water splashing and engine water ingress due to excessive speed. Torque limiting and speed control also ensures the vehicle can quickly decelerate or stop in emergencies, improving driving safety. Requesting the vehicle's suspension springs to rise to their maximum height, increasing ground clearance, significantly increases ground clearance, making it easier to traverse deeper water. Increased ground clearance also reduces the contact area between the vehicle's bottom and the water surface, reducing the likelihood of stalling or being hindered by water resistance. Requesting the suspension dampers to reduce damping force, improving ride comfort, allows for smoother passage, reducing bumps and vibrations. Improved ride comfort not only allows the driver to focus more on driving but also reduces passenger discomfort, enhancing the overall riding experience. Activating the vehicle's chassis wading mode, improving off-road capability, enhances the vehicle's passability and off-road performance in complex road conditions with standing water, maintaining stable driving performance. By requesting the human-machine interface to display the wading depth and when a hazard warning is issued, drivers can intuitively understand the current water situation on the road, thereby making more reasonable driving decisions and avoiding safety accidents.

[0079] When the vehicle determines that the water depth ahead is within the safe depth for buoyancy, the vehicle's control mode switches to either automatic buoyancy control mode or automatic distress signal control mode, and executes the appropriate buoyancy control or distress signal control strategy. Specifically, in automatic buoyancy control mode, the buoyancy control strategy includes prompting the driver via voice and text on the vehicle's infotainment system whether to activate the buoyancy airbags; requesting the sunroof to open so the driver can escape through it; requesting the vehicle windows to close automatically to prevent water from entering the vehicle; and requesting the vehicle to automatically activate the hazard lights and sound the alarm.

[0080] During the aforementioned requests, prompts are made to the driver via voice and text on the vehicle's infotainment system. This allows the driver to quickly understand the vehicle's situation in floodwaters during emergencies. This intuitive and clear approach helps the driver make the right decisions in tense situations, enabling them to promptly deploy the water-filled airbags for additional buoyancy support and ensure the safety of the vehicle and passengers. When requesting the sunroof to open for the driver's escape, the sunroof becomes a crucial escape route, quickly providing an exit for the driver and passengers and reducing the difficulty of escape caused by locked doors or broken windows. Requesting the automatic closing of the windows to prevent water from entering the vehicle effectively prevents water from flowing into the cabin, maintaining a relatively dry and safe interior. This is crucial for passenger breathing, the protection of electronic equipment, and the integrity of the vehicle's internal structure. Requesting the automatic activation of the hazard lights and alarm not only alerts surrounding vehicles and pedestrians, preventing secondary accidents such as collisions, but also attracts the attention of bystanders, potentially prompting them to provide timely assistance. These two alarm methods work together to increase the vehicle's visibility and the likelihood of rescue in a flooded situation.

[0081] The distress control strategy specifically includes requesting the vehicle's main unit to send a distress signal to the remote monitoring system to initiate an emergency call for rescue. It also automatically saves the number of passengers, their vital signs, and the vehicle's movement status during the floating process. When a vehicle encounters a floating emergency, requesting the main unit to send a distress signal to the remote monitoring system quickly transmits the vehicle's distress information to rescue organizations. This instant alarm and rescue mechanism significantly shortens the rescue response time, providing rescuers with a valuable window of opportunity and increasing the probability of a successful rescue. Simultaneously, the automatic saving of the number of passengers and their vital signs helps rescuers understand the number and safety status of those inside the vehicle, enabling more precise and efficient rescue plans. The vehicle's movement status data during the floating process is also automatically saved; this information is crucial for analyzing the cause of the accident, evaluating vehicle performance, and improving the floating control system. Furthermore, upon receiving the distress signal, the remote monitoring system can quickly dispatch the nearest rescue team to the scene based on the vehicle's real-time location and detailed distress information. This targeted rescue approach not only improves rescue efficiency but also reduces the risks and uncertainties during the rescue process.

[0082] In summary, this vehicle driving control method based on flooded roads significantly improves vehicle driving safety on flooded roads through real-time perception, intelligent judgment, and automated control, reduces traffic accidents, and provides drivers and passengers with a safer and more reliable driving experience.

[0083] Secondly, this embodiment provides a vehicle, including a vehicle body, on which a chassis domain controller, a water level sensor, and a buoyancy airbag device are installed. The chassis domain controller is electrically connected to the buoyancy airbag device and the water level sensor, and the vehicle body drives using the vehicle driving control method based on flooded road surfaces as described above. Furthermore, as... Figure 4 , Figure 11 and Figure 12 As shown, in one embodiment, the water level sensor 3 is installed at the connection between the vehicle frame 1 and the front bumper beam 2. This ensures that the water level sensor 3 is in a low position, allowing it to detect water level changes promptly in emergencies such as the vehicle body 9 wading through water or encountering floating water. This provides valuable early warning time for the driver and the vehicle body 9, helping the driver to take timely countermeasures and avoid vehicle damage and personal injury. Simultaneously, the front bumper beam 2, as part of the vehicle body structure, has high strength and rigidity. Installing the water level sensor 3 here ensures that it is not easily damaged in situations such as the vehicle body 9 wading through water or collisions, improving its service life and reliability. This design also helps reduce false alarms or missed alarms caused by water level sensor 3 malfunction, improving overall vehicle safety. Furthermore, the connection between the vehicle frame 1 and the front bumper beam 2 is a critical part of the vehicle structure and an ideal location for installing the water level sensor 3. Installing the water level sensor 3 at this location allows for a tight integration between the water level sensor 3 and the vehicle body 9 structure, reducing additional installation space and costs. Installing the water level sensor 3 at the connection between the frame 1 and the front bumper beam 2 makes it convenient for maintenance personnel to perform maintenance and inspection. When it is necessary to replace or upgrade the water level sensor 3, the operation can be completed quickly and conveniently, reducing maintenance costs and time.

[0084] In another embodiment, the water level sensor 3 is installed at the rear end of the front bumper beam 2. The rear end of the front bumper beam 2 is usually positioned low, close to the water surface that the vehicle may encounter while driving. If water accumulates in front of the vehicle during driving, the water level sensor 3 installed at the rear end of the front bumper beam 2 can detect the change in water level earlier. This ability to detect changes in water level in advance provides the driver with more reaction time to take timely countermeasures, such as slowing down, stopping, or taking a detour.

[0085] like Figure 2 , Figure 5 , Figure 6 and Figure 7As shown, during vehicle operation, when the vehicle is traveling on a road surface (e.g., flat, uphill, or downhill), the AI ​​algorithm integrated into the chassis domain controller, specifically the automatic wading road recognition algorithm, first determines whether the vehicle body 9 is in a normal driving state. The vehicle body 9's speed is between 20km / h and 30km / h, and the driving time is ≥500ms (this is just an example and is not a strict limitation). If so, the inertial measurement unit of the vehicle body 9 outputs the lateral, longitudinal, and vertical acceleration information and yaw rate information of the vehicle body 9, and sends the signals to the chassis domain controller. The brake controller outputs the torque of the wheels, the vehicle body speed, and the wheel speed of the vehicle body 9. The signal is sent to the chassis domain controller; the steering controller outputs the steering wheel angle information and sends the signal to the chassis domain controller; the front area controller outputs the overall mass, drag coefficient, transmission efficiency, wheelbase, track width, and steering ratio data of the vehicle body 9 and sends the signal to the chassis domain controller; while receiving the above data, the chassis domain controller also receives the road surface type signal forty meters in front of the vehicle body 9 collected by the front-end binocular camera of the vehicle body 9, and uses the above received information to determine whether the road surface type in front of the vehicle body 9 is a wading road surface through terrain recognition AI algorithm; if it is determined to be a wading road surface, the judgment result is output as wading road surface and wading depth, and the wading automatic control mode on the vehicle body 9 is automatically activated. Figure 3 As shown, when the vehicle body 9 activates the automatic wading control mode, the water level sensor 3 sends the wading depth signal to the automatic wading road activation algorithm, which then determines the wading depth of the vehicle. Figure 5 , Figure 6 and Figure 7 As can be seen from the data, under the three types of road surface conditions, the water depth can be divided into a mm depth and b mm depth. When the wading depth of vehicle body 9 is determined to be greater than a mm depth, vehicle body 9 is determined to be at the wading depth, control algorithm A is executed, that is, the automatic wading control mode is activated, and the corresponding wading control strategy is executed; when the wading depth of vehicle body 9 is determined to be greater than b mm depth, vehicle body 9 is determined to be at the floating depth, control algorithm B is executed, that is, the automatic floating control mode is activated, and the floating control strategy is executed; at the same time, when the wading depth of vehicle body 9 is determined to be greater than b mm depth, such as Figure 9 As shown, the automatic distress control mode can also be activated and distress control strategies can be executed.

[0086] In the distress automatic control mode, and when the distress control strategy is executed, the chassis domain controller activates the buoyancy airbag device 8, such as... Figure 11 and Figure 12 As shown, the water-floating airbag device 8 is mounted to the bottom of the vehicle body 9 by bolts 10; wherein, as Figure 10As shown, the buoyancy airbag device 8 includes an upper shell 4, a gas generator 5, an airbag 6, and a lower shell 7. The upper shell 4 is made of high-strength, lightweight plastic, and the lower shell 7 is made of high-strength, lightweight carbon fiber. The gas generator 5 is fixed to the upper shell 4, and the airbag 6 is rigidly connected to the gas generator 5 by clamps. The airbag 6 is evenly laid between the upper shell 4 and the lower shell 7, and the upper shell 4 and the lower shell 7 are tightly fastened together by a snap-fit ​​structure. After the airbag device activation control algorithm receives a signal, the airbag detonator receives an ignition command, detonates the igniter, and generates a large amount of nitrogen gas. The airbag 6 breaks through the liner and rapidly deploys within 1 second, popping open the lower shell 7 and forming an elastic air cushion under the vehicle, causing the vehicle body 9 to float, providing the occupants with sufficient escape time and time to wait for rescue.

[0087] Thirdly, a vehicle driving control system based on flooded road surfaces is provided, such as... Figure 13 As shown, it includes:

[0088] The preset module is used to preset the vehicle's control mode and control strategy. The control modes include automatic water wading control mode, automatic floating control mode and automatic distress control mode. The control strategies include water wading control strategy, floating control strategy and distress control strategy.

[0089] The acquisition module is used to acquire real-time perception signals of the road surface in front of the vehicle through a binocular camera and a water level sensor.

[0090] The judgment module has a built-in terrain recognition AI algorithm, which is used to process real-time perception signals and judge the water accumulation information on the road ahead. The water accumulation information includes the wading depth and floating depth information corresponding to the water accumulation depth on the road.

[0091] The activation module is used to activate the vehicle control mode and control strategy corresponding to the judgment result based on the information of water accumulation on the road ahead.

[0092] In this control system, the control mode and control strategy for waterlogged roads are set by preset modules. The system can react quickly when it detects water accumulation and adjust the vehicle's driving status, such as deceleration and adjustment of tire grip, thereby effectively reducing the safety risks of slippage and drifting caused by water accumulation.

[0093] The real-time perception and judgment module ensures that the vehicle has an accurate understanding of the road conditions ahead, providing drivers with additional safety. Especially when visibility is limited or driving at night, the system can automatically adjust vehicle settings to adapt to flooded roads, reducing the need for manual adjustments by the driver and thus improving driving convenience and comfort.

[0094] By optimizing control strategies, such as adjusting the suspension system and braking force, the system can further reduce the bumps and swaying of vehicles when traversing flooded roads, improving the passenger experience. This system enables vehicles to better adapt to different weather and road conditions, especially in rainy areas or flood-prone sections, significantly improving vehicle passability and reliability. By promptly identifying and responding to flooded roads, the system can help drivers avoid vehicle damage caused by blindly driving into deep water, such as engine water ingress or electrical system short circuits. The system can also provide appropriate driving advice or warnings based on water depth and flow conditions, further protecting the vehicle from damage.

[0095] Fourthly, a mobile terminal is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the vehicle driving control method based on flooded road surfaces as described above.

[0096] Fifthly, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the vehicle driving control method based on flooded road surfaces as described above.

[0097] In a sixth aspect, a computer program product is provided, including computer instructions that instruct a computing device to perform operations corresponding to the vehicle driving control method based on flooded road surfaces as described above.

[0098] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit its scope of protection. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that after reading the present invention, they can still make various changes, modifications or equivalent substitutions to the specific implementation of the invention, but these changes, modifications or equivalent substitutions are all within the scope of protection of the pending claims of the invention.

Claims

1. A vehicle driving control method based on flooded road surfaces, characterized in that, include: Preset vehicle control modes and control strategies; The system acquires real-time perception signals of the road surface ahead of the vehicle and uses terrain recognition AI algorithms to determine the water accumulation information on the road surface ahead. Based on the judgment result of the water accumulation on the road ahead, activate the vehicle control mode and control strategy corresponding to the judgment result; The preset vehicle control mode and control strategy specifically include: Different vehicle control modes and control strategies are preset according to the water depth on the road surface; wherein, the water depth on the road surface includes wading depth and floating depth, the vehicle control modes include automatic wading control mode, automatic floating control mode and automatic distress control mode, and the control strategies include wading control strategy, floating control strategy and distress control strategy. When the water depth on the road surface is the wading depth, the vehicle's control mode is preset to the automatic wading control mode, and the wading control strategy is executed. When the water depth on the road surface is the floating depth, the vehicle's control mode is preset to either the floating automatic control mode or the distress automatic control mode, and the floating control strategy or the distress control strategy is executed. Acquire real-time perception signals of the road surface ahead of the vehicle, and use terrain recognition AI algorithms to determine the water accumulation information on the road surface ahead, specifically including: A binocular camera and a water level sensor are installed at the front of the vehicle. The vehicle chassis domain control ECU integrates a terrain recognition AI algorithm. During the vehicle's operation, the binocular camera acquires real-time perception signals of the road surface in front of the vehicle, and the terrain recognition AI algorithm determines the water accumulation information on the road surface ahead.

2. The vehicle driving control method based on flooded road surfaces according to claim 1, characterized in that, The water control strategy specifically includes: Request the vehicle controller to reduce the power torque output and implement torque-limiting speed control for the vehicle; Request that the vehicle's air springs be raised to their highest position to increase the vehicle's ground clearance and improve its passability; Request the vehicle suspension shock absorbers to reduce damping force and improve vehicle ride comfort; Request vehicle chassis domain control to activate vehicle chassis wading mode to improve vehicle off-road capability; Request the human-machine interface to display the wading depth and provide a hazard warning to the driver.

3. The vehicle driving control method based on flooded road surfaces according to claim 1, characterized in that, The floating control strategy specifically includes: The vehicle's infotainment system prompts the driver via voice and text whether to activate the water-filled airbags. The vehicle is requested to open its sunroof so that the driver can escape through it. Request that the vehicle windows close automatically to prevent water from entering the vehicle interior; Request the vehicle to automatically activate its hazard lights and alarm.

4. The vehicle driving control method based on flooded road surface according to claim 1, characterized in that, The distress control strategy specifically includes: The system requests the vehicle's main unit to send a distress signal to the remote monitoring system to initiate an emergency rescue, and automatically saves the number of passengers, their vital signs, and the vehicle's movement status during its floating process.

5. The vehicle driving control method based on flooded road surface according to claim 1, characterized in that, The road surface water information refers to the depth of water accumulation on the road surface.

6. A vehicle, comprising a vehicle body, characterized in that, The vehicle body is equipped with a chassis domain controller, a water level sensor, and a water-floating airbag device. The chassis domain controller is electrically connected to the water-floating airbag device and the water level sensor. The vehicle body drives using the vehicle driving control method based on flooded road surface as described in any one of claims 1-5.

7. The vehicle according to claim 6, characterized in that, The floating airbag device includes an upper shell, a lower shell, an airbag, and an ECU gas generator. The airbag is laid flat between the upper shell and the lower shell, and the ECU gas generator is fixed on the upper shell and rigidly connected to the airbag.

8. A vehicle driving control system based on flooded road surfaces, characterized in that, include: The preset module is used to preset the vehicle's control mode and control strategy. The control mode includes an automatic vehicle wading control mode, an automatic floating control mode, and an automatic distress control mode. The control strategy includes a wading control strategy, a floating control strategy, and a distress control strategy. The acquisition module is used to acquire real-time perception signals of the road surface in front of the vehicle through a binocular camera and a water level sensor. The judgment module has a built-in terrain recognition AI algorithm, which is used to process the real-time sensing signal using the terrain recognition AI algorithm to judge the water accumulation information on the road ahead. The water accumulation information includes the wading depth and floating depth information corresponding to the water accumulation depth on the road. The activation module is used to activate the vehicle control mode and control strategy corresponding to the judgment result based on the judgment result of the water accumulation information on the road ahead.

9. A mobile terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the vehicle driving control method based on flooded road surfaces as described in any one of claims 1-5.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the vehicle driving control method based on flooded road surfaces as described in any one of claims 1-5.

11. A computer program product comprising computer instructions, characterized in that, The computer instructions instruct the computing device to perform the operations corresponding to the vehicle driving control method based on flooded road surfaces as described in any one of claims 1-5.

Images