Vehicle driving guidance method and device, storage medium, vehicle

Abstract

This invention relates to the field of vehicle control technology, and more particularly to a driving guidance method and device, storage medium, and vehicle. The vehicle is connected to a driver's personal smart terminal via an in-vehicle system. The personal smart terminal is equipped with a biosensor. The driving guidance method includes: sending a target driving route and driver information to a cloud server, so that the cloud server generates a warning message based on the target driving route and the driver information; acquiring the warning message and the driver's biometric information collected by the biosensor; and controlling the in-vehicle system to send driving guidance information based on the biometric information and the warning message, so that the driver can drive the vehicle based on the driving guidance information. This enables the in-vehicle system to have deep interaction and personalized guidance with the driver, while avoiding the device silo effect and improving the driver's driving experience.

Description

Technical Field

[0001] This invention relates to the field of vehicle control technology, and more particularly to a driving guidance method and device for a vehicle, a storage medium, and a vehicle. Background Technology

[0002] Vehicle safety is paramount in vehicle control, directly impacting the personal safety of drivers and passengers. While related technologies employ interactive or early warning methods to alert drivers, the interaction is often limited to voice or video information, and early warnings are typically displayed solely through the vehicle's infotainment system. This creates a device silo effect, as the system only informs the driver of risks without considering their reaction or understanding, resulting in a poor driver experience. Summary of the Invention

[0003] This invention aims to at least partially address one of the technical problems in related technologies. Therefore, a first objective of this invention is to provide a driving guidance method for vehicles that enables deep interaction and personalized guidance between the in-vehicle system and the driver, while avoiding device isolation and improving the driver's driving experience.

[0004] A second objective of this invention is to provide a computer-readable storage medium.

[0005] The third objective of this invention is to provide a driving guidance device for a vehicle.

[0006] The fourth objective of this invention is to provide a vehicle.

[0007] To achieve the above objectives, a first aspect of the present invention provides a driving guidance method for a vehicle, wherein the vehicle is connected to a driver's personal smart terminal via an in-vehicle system, the personal smart terminal being equipped with a biosensor, and the method includes: sending a target driving route and driver information to a cloud server, so that the cloud server generates a warning message based on the target driving route and the driver information; acquiring the warning message and the driver's biometric information collected by the biosensor; and controlling the in-vehicle system to send driving guidance information based on the biometric information and the warning message, so that the driver drives the vehicle based on the driving guidance information.

[0008] In this embodiment of the invention, the vehicle is connected to the driver's personal smart terminal via an in-vehicle system. The personal smart terminal is also equipped with a biosensor. The driving guidance method of the vehicle includes: firstly, sending the target driving route and driver information to a cloud server, so that the cloud server can generate warning prompts based on the target driving route and driver information; then, the vehicle can acquire the warning prompts and also acquire biometric information collected by the biosensor; and then, based on the biometric information and the warning prompts, sending driving guidance information to the in-vehicle system, so that the driver can drive the vehicle based on the driving guidance information. This enables the in-vehicle system to conduct in-depth interaction and personalized guidance with the driver, while avoiding the island effect of devices and improving the driver's driving experience.

[0009] In some embodiments of the present invention, the cloud server includes a multi-dimensional risk fusion layer, a driver profile layer, and a trip risk inference layer. The multi-dimensional risk fusion layer is used to integrate the vehicle's historical accident information, climate information, and road condition information to generate risk elements. The driver profile layer is used to construct a risk response feature model based on the historical trip data of different drivers. The trip risk inference layer is used to combine the multi-dimensional risk fusion layer and the driver profile layer to generate risk sequence information, so that the cloud server can construct a warning prompt information generation engine for each driving route based on the risk elements, the risk response feature model, and the risk sequence information.

[0010] In some embodiments of the present invention, the vehicle system is also connected to a terminal device, and the method further includes: acquiring the driver's actual driving information; determining driving update information and driving recommendation information based on the actual driving information and the driving guidance information; sending the driving update information to the cloud server to update the driver profile layer; and sending the driving recommendation information to the terminal device for the driver to view.

[0011] In some embodiments of the present invention, the method further includes: when the distance between the vehicle and the terminal device is less than a preset distance, waking up the vehicle system and obtaining the warning information from the terminal device, wherein the warning information of the terminal device is obtained from the cloud server.

[0012] In some embodiments of the present invention, the warning information includes multiple items from trip ID, target route overview, risk panorama summary, risk point list, recommended driving mode, estimated driver psychological load curve, and optional challenge targets.

[0013] In some embodiments of the present invention, the biometric information includes heart rate variability and skin conductance data. Controlling the vehicle system to send driving guidance information based on the biometric information and the warning information includes: controlling the vehicle system to send the driving guidance information when it is determined from the warning information that the vehicle will enter a risk point after a preset time; acquiring the driver's operational smoothness under the driving guidance information; estimating the driver's psychological stress level based on the heart rate variability and skin conductance data; and adjusting the driving guidance information based on the operational smoothness and the psychological stress level.

[0014] In some embodiments of the present invention, the method further includes: after the vehicle passes the risk point, obtaining the driver's current operational stability and current psychological stress level; when the current operational stability and the current psychological stress level are both within a preset range, sending positive feedback information to the personal smart terminal; when the current operational stability or the current psychological stress level is not within the preset range, recording and adjusting the driving guidance information for subsequent risk points.

[0015] To achieve the above objectives, a second aspect of the present invention provides a computer-readable storage medium having a driving guidance program for a vehicle stored thereon, wherein when the driving guidance program is executed by a processor, it implements the driving guidance method for a vehicle as described in any of the above embodiments.

[0016] The computer-readable storage medium of this invention executes a vehicle driving guidance program stored thereon via a processor, which can control the in-vehicle system to perform in-depth interaction and personalized guidance with the driver, while avoiding the device silo effect and improving the driver's driving experience.

[0017] To achieve the above objectives, a third aspect of the present invention provides a driving guidance device for a vehicle. The vehicle is connected to a driver's personal smart terminal via an in-vehicle system. The personal smart terminal is equipped with a biosensor. The device includes: a sending module for sending a target driving route and driver information to a cloud server, so that the cloud server generates a warning message based on the target driving route and the driver information; an acquisition module for acquiring the warning message and the driver's biometric information collected by the biosensor; and a control module for controlling the in-vehicle system to send driving guidance information based on the biometric information and the warning message, so that the driver can drive the vehicle based on the driving guidance information.

[0018] In this embodiment of the invention, the vehicle is connected to the driver's personal smart terminal via an in-vehicle system. This personal smart terminal is also equipped with a biosensor. The vehicle's driving guidance device includes a sending module, an acquisition module, and a control module. First, the sending module sends the target driving route and driver information to a cloud server, enabling the cloud server to generate warning prompts based on the target driving route and driver information. Then, the acquisition module acquires the warning prompts and biometric information collected by the biosensor. Finally, the control module sends driving guidance information to the in-vehicle system based on the biometric information and the warning prompts, allowing the driver to drive the vehicle according to the driving guidance information. This enables deep interaction and personalized guidance between the in-vehicle system and the driver, while avoiding device isolation and improving the driver's driving experience.

[0019] To achieve the above objectives, a fourth aspect of the present invention provides a vehicle that includes the driving guidance device of the vehicle described above.

[0020] The vehicle in this embodiment of the invention, through the driving guidance device of the vehicle in the above embodiment, can control the in-vehicle system to conduct in-depth interaction and personalized guidance with the driver, while avoiding the island effect of the device and improving the driver's driving experience.

[0021] Additional aspects and advantages 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

[0022] Figure 1 This is a flowchart of a vehicle driving guidance method in one embodiment of the present invention; Figure 2 This is a schematic diagram of a warning message according to a specific embodiment of the present invention; Figure 3 This is a flowchart of a vehicle driving guidance method in another embodiment of the present invention; Figure 4 This is a flowchart of a vehicle driving guidance method in another embodiment of the present invention; Figure 5 This is a flowchart of a vehicle driving guidance method in a specific embodiment of the present invention; Figure 6 This is a block diagram of the vehicle driving guidance device in an embodiment of the present invention; Figure 7 This is a vehicle block diagram according to an embodiment of the present invention. Detailed Implementation

[0023] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0024] The driving guidance method and apparatus, storage medium, and vehicle of the present invention are described below with reference to the accompanying drawings.

[0025] First, in this embodiment, the vehicle can connect to the driver's personal smart terminal via an in-vehicle system. Specifically, this connection can be made via Bluetooth, UWB (Ultra Wide Band), or other similar methods. The personal smart terminal can be a smartwatch, smart bracelet, or similar device. The personal smart terminal can also be equipped with a biosensor that can acquire the driver's biometric information, including heart rate variability and skin conductance data, which can detect the driver's current emotional fluctuations.

[0026] Figure 1 This is a flowchart of a vehicle driving guidance method in one embodiment of the present invention.

[0027] like Figure 1 As shown, this invention proposes a driving guidance method for a vehicle, which includes the following steps: S10 sends the target driving route and driver information to the cloud server so that the cloud server can generate a warning message based on the target driving route and driver information.

[0028] Specifically, the cloud server, in-vehicle system, and personal smart terminal can be interconnected. Before the trip begins, the driver can plan the trip through the in-vehicle system, and the trip plan can then be sent to the cloud server. To provide more personalized driving guidance information later, driver information can also be sent along with the target route. This can be confirmed via camera or through the in-vehicle system's login account. It should be noted that the target route and driver information can also be sent through the driver's personal smart terminal. The driver selects the target route on their personal smart terminal, and after confirmation, the terminal uploads the target route and driver information to the cloud server.

[0029] After receiving the target driving route and driver information, the cloud server can use a generation engine to search and generate corresponding warning prompts. This generation engine is trained and generated using a multi-dimensional risk fusion layer, a driver profiling layer, and a trip risk inference layer set within the cloud server. The multi-dimensional risk fusion layer integrates historical accident information, climate information, and road condition information to generate risk factors; the driver profiling layer constructs risk response feature models based on different drivers' historical trip data; and the trip risk inference layer combines the multi-dimensional risk fusion layer and the driver profiling layer to generate risk sequence information. This allows the cloud server to construct a warning prompt generation engine for each driving route based on risk factors, risk response feature models, and risk sequence information.

[0030] Specifically, the multi-dimensional risk fusion layer can determine historical accident data based on the vehicle's driving history and obtain information such as traffic flow, weather forecast, road topology (e.g., curve angle, slope), and seasonal characteristics corresponding to the time of the historical accident. This generates dynamic, fine-grained risk factors; in other words, the multi-dimensional risk fusion layer can analyze the vehicle's historical accident data in conjunction with the environmental information at the time to determine the cause of the accident. The driver profiling layer can construct a driver risk response characteristic model based on the vehicle's historical trip data, including different drivers' average cornering speed, lateral acceleration, following distance preference, sensitivity to different risk types (e.g., rain, snow, nighttime, congestion), and operational stability. The trip risk extrapolation layer can extrapolate the information obtained from the multi-dimensional risk fusion layer and the driver profiling layer to deduce the risk scenarios, potential stress points, and operational challenges that different drivers may encounter during their trips, generating a risk sequence with spatiotemporal markers. Understandably, the multi-dimensional risk fusion layer, driver profiling layer, and trip risk deduction layer can be combined. Specifically, the trip risk deduction layer can deduce the risks associated with different drivers in accidents corresponding to those in the multi-dimensional risk fusion layer, based on the driver profiling layer. In other words, by fusing these three layers, a generation engine can be constructed. Upon receiving the target driving route and driver information, this engine can directly generate a warning message. This warning message is personalized and only applies to that specific driver; different drivers will receive different warning messages.

[0031] Warning messages can also be pushed out in the form of data structures, which can include: Warning message { Trip ID; Route overview (map thumbnail); Risk overview summary (e.g., "3 sharp bends, 1 congestion-prone area, total risk value: medium") List of key risk points [{location, risk type, risk level, personalized recommendations, expected completion time}]; Recommended driving mode (e.g., one of "Economy", "Comfort", or "Sport"). Predicted psychological load curve; Optional challenge objectives (e.g., "Reduce the variance of speed when passing sharp turns by 10% this time").

[0032] } More specifically, warning information can also be sent in the form of cards, such as... Figure 2 As shown, the warning information includes trip ID, an overview of the target driving route, a summary of the risk panorama, a list of risk points, recommended driving modes, an estimated driver psychological load curve, and several optional challenge objectives.

[0033] S20, acquires warning information and driver biometric information collected by biosensors.

[0034] Specifically, in this embodiment, the biosensor can be a smartwatch, smart bracelet, or similar device placed close to the driver's skin to collect the driver's biometric information, including heart rate variability and electrodermal activity (EDA) data. The driver's current psychological state can be determined using the heart rate variability and EDA data. Simultaneously, warning messages are also acquired, and subsequent steps can be executed based on the warning messages and biometric information.

[0035] S30 controls the onboard system to send driving guidance information based on biometric information and early warning information, so that the driver can drive the vehicle based on the driving guidance information.

[0036] Specifically, after acquiring biometric information and warning prompts, driving guidance information tailored to the driver's current psychological state can be generated. For example, if biometric information detects that the driver is overly tense, the driving guidance information can be relatively brief, delivered in a gentle tone, and avoids urging the driver to prevent further tension and driving errors. Conversely, if the driver is not tense and is even somewhat relaxed, the driving guidance information can be more detailed, with multiple reminders or advance warnings to ensure the driver understands the subsequent driving strategy and prevent accidents due to inattention.

[0037] In some embodiments of the present invention, the vehicle system is also connected to a terminal device, such as... Figure 3 As shown, the method also includes: S301, obtain the driver's actual driving information.

[0038] S302 determines driving update information and driving recommendation information based on actual driving information and driving guidance information.

[0039] S303 sends driving update information to the cloud server to update the driver profile layer, and sends driving recommendation information to the terminal device for the driver to view.

[0040] Specifically, because drivers may not necessarily control the vehicle exactly according to the driving guidance information, due to factors such as the driver's driving habits and the vehicle's control efficiency, this embodiment can obtain the driver's actual driving information after the driver has driven the vehicle past the risk point according to the driving guidance information. Then, based on the actual driving information and the driving guidance information, it can determine the driving update information that needs improvement and the driving recommendation information that is more reasonable relative to the driver's actual driving information. Then, it can update the driver profile layer according to the driving update information so that the driving guidance information generated later is more in line with the driver's driving habits. In addition, the driving recommendation information can also be sent to the driver's terminal device for the driver to view, learn and improve.

[0041] More specifically, the driver's actual driving information can include control information such as speed, acceleration, braking, and steering. This control information is compared with driving guidance information, and a report can be automatically generated after the trip to summarize the risk exposure and provide personalized insights (i.e., driving recommendations). For example, it could be, "Your speed control is very stable when dealing with sharp curves, but your braking frequency is 30% higher than average when following other vehicles in congested traffic. It is recommended to try turning on adaptive cruise control to reduce fatigue." At the same time, the analyst results of this trip can be fed back to the driver profile layer on the cloud server to optimize the driver's risk response characteristic model, making future risk projections and guidance recommendations more accurate.

[0042] In one specific embodiment of the present invention, before the trip begins, the driver can plan the trip using a terminal device such as a smartphone or smartwatch, or directly on the in-vehicle system. After the trip planning is completed, the cloud server can determine warning information based on the target driving route and driver information. This warning information can be pushed to the smartphone for the driver to view in advance, such as viewing the risk panorama and key risk points along the target driving route, and even viewing video information of relevant risk points to prepare the driver mentally. In some embodiments, the warning information is stored in the smartphone. When the driver approaches the vehicle with the smartphone, for example, when the distance between the driver and the vehicle is less than 3 meters, 4 meters, or 5 meters, the in-vehicle system can be automatically activated, and the warning information on the phone can be sent to the in-vehicle system so that the in-vehicle system can load in advance, reducing the driver's waiting time. During the trip, the in-vehicle system can work in conjunction with a personal device, such as a smart bracelet. The in-vehicle system can handle the high-information-density AR-HUD (Augmented Reality Head-Up Display) or dashboard presentation, while the smart bracelet can provide more subtle and lightweight secondary information synchronization and alerts. For example, the smart bracelet can provide a slight vibration alert one minute before approaching a risky point, or display an "operation smoothness score" after completing a high-risk operation. After the trip, the smartphone can automatically generate a "trip review report" and push it to the driver's phone for debriefing.

[0043] In some embodiments of the present invention, biometric information includes heart rate variability and skin conductance data, such as... Figure 4 As shown, the system controls the vehicle to send driving guidance information based on biometric information and warning prompts, including: S401, when it is determined from the warning information that the vehicle will enter a risk point after a preset time, controls the on-board system to send driving guidance information.

[0044] S402, obtain the smoothness of the driver's operation under the driving guidance information.

[0045] S403 estimates the driver's psychological stress level based on heart rate variability and skin conductance data.

[0046] S404 adjusts driving guidance information based on operational smoothness and psychological stress levels.

[0047] Specifically, during the process of controlling the in-vehicle system to send driving guidance information based on biometric information and early warning prompts, real-time feedback and adjustments are also required. Specifically, when the vehicle enters a risk point after a preset time, the in-vehicle system can send driving guidance information. For example, 2-3 minutes before reaching a high-risk section (such as a long downhill slope), the in-vehicle system can provide guidance via voice in a "coach" tone: "We are about to enter a continuous downhill section. We suggest you switch to manual mode in advance and use engine braking to avoid overheating the brakes." After sending the driving guidance information, the driver's operational smoothness under the guidance information can be obtained to determine whether the driver has successfully completed the current driving guidance. Further data on the driver's heart rate variability and skin conductance activity can be obtained to assess the driver's psychological stress level under the current driving guidance information. Then, based on the smoothness and psychological stress level, the driving guidance information can be appropriately adjusted. Specifically, by monitoring the driver's stress level at the risk point in real time, the intensity and method of guidance can be dynamically adjusted. If the stress level is too high, subsequent guidance will use a more soothing tone and simpler information; if the stress level is low and the operation is smooth, prompts can be appropriately reduced, and positive encouragement can be given. In some embodiments, after the vehicle passes a risk point, the driver's current operational stability and current psychological stress level are obtained; when both the current operational stability and current psychological stress level are within a preset range, positive feedback information is sent to the wearable smart terminal; when the current operational stability or current psychological stress level is not within the preset range, driving guidance information for subsequent risk points is recorded and adjusted.

[0048] More specifically, see Figure 5As shown, when the vehicle is about to reach a preset risk point, for example, 2-3 minutes before reaching the preset risk point, the driver's heart rate variability and skin conductance activity data are acquired. The heart rate variability and skin conductance activity data are then used to assess the driver's psychological stress level and the smoothness of the current driving operation. A dynamic guidance strategy decision engine then determines the driver's psychological stress level. If the heart rate variability is high and the skin conductance activity data is low, the driver's psychological stress level is determined to be low. Therefore, the in-vehicle system can perform standard guidance, guidance two minutes in advance, voice prompts, detailed visual information, and provide advanced options. If the heart rate variability and skin conductance activity data are moderate, the driver's psychological stress level is determined to be moderate. Therefore, the in-vehicle system can perform simplified guidance, guidance one minute in advance, voice prompts for key information, and standard visual information. If the heart rate variability is low and the skin conductance activity data is high, the driver's psychological stress level is determined to be high. Therefore, the in-vehicle system can perform minimal interference guidance, visual prompts only, HUD (Head-Up Display) icons, steering wheel micro-vibration, and no voice prompts. After the vehicle passes the risk point, the driver's psychological stress level and driving operation smoothness are further assessed. If the operation is smooth and the stress level returns to the normal range, the driver's confidence can be enhanced through positive feedback via a smartwatch, which can be displayed in the form of vibration and icons. If the operation is unstable and the stress level continues to rise, the abnormal event can be recorded, the subsequent guidance strategy can be adjusted, and it can be marked in the trip report for easy reference by the user.

[0049] In summary, the vehicle driving guidance method of this invention can control the in-vehicle system to conduct in-depth interaction and personalized guidance with the driver, while avoiding the island effect of devices and improving the driver's driving experience.

[0050] Furthermore, the present invention proposes a computer-readable storage medium storing a vehicle driving guidance program thereon, which, when executed by a processor, implements the vehicle driving guidance method of any of the above embodiments.

[0051] The computer-readable storage medium of this invention executes a vehicle driving guidance program stored thereon via a processor, which can control the in-vehicle system to perform in-depth interaction and personalized guidance with the driver, while avoiding the device silo effect and improving the driver's driving experience.

[0052] Figure 6 This is a block diagram of a vehicle driving guidance device in an embodiment of the present invention.

[0053] Furthermore, such as Figure 6As shown, the present invention proposes a driving guidance device 600 for a vehicle. The vehicle is connected to the driver's personal smart terminal through an on-board system. The personal smart terminal is equipped with a biosensor. The driving guidance device 600 for the vehicle includes a sending module 601, an acquisition module 602, and a control module 603.

[0054] The sending module 601 is used to send the target driving route and driver information to the cloud server so that the cloud server can generate warning prompt information based on the target driving route and driver information; the acquisition module 602 is used to acquire the warning prompt information and the driver's biometric information collected by the biosensor; the control module 603 is used to control the vehicle system to send driving guidance information based on the biometric information and the warning prompt information so that the driver can drive the vehicle based on the driving guidance information.

[0055] In some embodiments of the present invention, the cloud server includes a multi-dimensional risk fusion layer, a driver profile layer, and a trip risk inference layer. The multi-dimensional risk fusion layer is used to integrate historical accident information, climate information, and road condition information of the vehicle to generate risk elements. The driver profile layer is used to construct a risk response feature model based on the historical trip data of different drivers. The trip risk inference layer is used to combine the multi-dimensional risk fusion layer and the driver profile layer to generate risk sequence information, so that the cloud server can construct a warning prompt information generation engine for each driving route based on risk elements, risk response feature models, and risk sequence information.

[0056] In some embodiments of the present invention, the vehicle system is also connected to a terminal device, wherein the acquisition module 602 is used to acquire the driver's actual driving information; the control module 603 is used to determine driving update information and driving recommendation information based on the actual driving information and driving guidance information; the driving update information is sent to the cloud server to update the driver profile layer, and the driving recommendation information is sent to the terminal device for the driver to view.

[0057] In some embodiments of the present invention, the control module 603 is used to wake up the vehicle system and obtain warning information from the terminal device when the distance between the vehicle and the terminal device is less than a preset distance, wherein the warning information of the terminal device is obtained from a cloud server.

[0058] In some embodiments of the present invention, the warning information includes multiple items from trip ID, target driving route overview, risk panorama summary, risk point list, recommended driving mode, estimated driver psychological load curve, and optional challenge targets.

[0059] In some embodiments of the present invention, the biometric information includes heart rate variability and skin conductance activity data. The control module 603 is used to control the vehicle system to send driving guidance information when it is determined from the warning prompt information that the vehicle will enter a risk point after a preset time; to obtain the driver's operational smoothness under the driving guidance information; to estimate the driver's psychological stress level based on the heart rate variability and skin conductance activity data; and to adjust the driving guidance information based on the operational smoothness and psychological stress level.

[0060] In some embodiments of the present invention, the acquisition module 602 is used to acquire the driver's current operational stability and current psychological stress level after the vehicle passes through the risk point; the control module 603 is used to send positive feedback information to the wearable smart terminal when the current operational stability and current psychological stress level are both within a preset range; and to record and adjust the driving guidance information for subsequent risk points when the current operational stability or current psychological stress level is not within the preset range.

[0061] It should be noted that the specific implementation of the vehicle driving guidance device in the embodiments of the present invention can be found in the specific implementation of the vehicle driving guidance method in the above embodiments. To avoid redundancy, it will not be described again here.

[0062] In summary, the vehicle driving guidance device of this invention can control the in-vehicle system to conduct in-depth interaction and personalized guidance with the driver, while avoiding the island effect of the device and improving the driver's driving experience.

[0063] Figure 7 This is a vehicle block diagram according to an embodiment of the present invention.

[0064] Furthermore, such as Figure 7 The present invention provides a vehicle 700, which includes the driving guidance device 600 of the vehicle in the above embodiment.

[0065] The vehicle in this embodiment of the invention, through the driving guidance device of the vehicle in the above embodiment, can control the in-vehicle system to conduct in-depth interaction and personalized guidance with the driver, while avoiding the island effect of the device and improving the driver's driving experience.

[0066] Furthermore, other components and functions of the vehicle in the embodiments of the present invention are known to those skilled in the art, and will not be described in detail here to reduce redundancy.

[0067] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0068] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0069] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0070] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0071] Furthermore, the terms "first," "second," etc., used in the embodiments of this invention are for descriptive purposes only and should not be construed as indicating or implying relative importance, or implicitly specifying the number of technical features indicated in this embodiment. Therefore, features defined with terms such as "first" and "second" in the embodiments of this invention can explicitly or implicitly indicate that the embodiment includes at least one of those features. In the description of this invention, the word "multiple" means at least two or more, such as two, three, four, etc., unless otherwise explicitly specified in the embodiments.

[0072] In this invention, unless otherwise explicitly specified or limited in the embodiments, the terms "installation," "connection," "joining," and "fixing" appearing in the embodiments should be interpreted broadly. For example, a connection can be a fixed connection, a detachable connection, or an integral part; it can also be a mechanical connection, an electrical connection, etc. Of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components, or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific implementation.

[0073] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0074] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for guiding the driving of a vehicle, characterized in that, The vehicle is connected to the driver's personal smart terminal via an in-vehicle system. The personal smart terminal is equipped with a biosensor. The method includes: Send the target driving route and driver information to the cloud server, so that the cloud server can generate a warning message based on the target driving route and driver information; The system acquires the warning information and the driver's biometric information collected by the biosensor. Based on the biometric information and the warning information, the vehicle system is controlled to send driving guidance information so that the driver can drive the vehicle based on the driving guidance information.

2. The driving guidance method for a vehicle according to claim 1, characterized in that, The cloud server includes a multi-dimensional risk fusion layer, a driver profile layer, and a trip risk projection layer. The multi-dimensional risk fusion layer integrates the vehicle's historical accident information, climate information, and road condition information to generate risk factors. The driver profile layer constructs risk response feature models based on the historical trip data of different drivers. The trip risk projection layer combines the multi-dimensional risk fusion layer and the driver profile layer to generate risk sequence information, enabling the cloud server to construct a warning prompt information generation engine for each driving route based on the risk factors, the risk response feature models, and the risk sequence information.

3. The driving guidance method for a vehicle according to claim 1, characterized in that, The vehicle-mounted system is also connected to a terminal device, and the method further includes: Obtain the driver's actual driving information; Based on the actual driving information and the driving guidance information, determine the driving update information and driving recommendation information; The driving update information is sent to the cloud server to update the driver profile layer, and the driving recommendation information is sent to the terminal device for the driver to view.

4. The driving guidance method for a vehicle according to claim 3, characterized in that, The method further includes: When the distance between the vehicle and the terminal device is less than a preset distance, the vehicle system is activated, and the warning information is obtained from the terminal device, wherein the warning information of the terminal device is obtained from the cloud server.

5. The driving guidance method for a vehicle according to claim 1, characterized in that, The warning information includes multiple items from the following: trip ID, target route overview, risk panorama summary, risk point list, recommended driving mode, estimated driver psychological load curve, and optional challenge targets.

6. The driving guidance method for a vehicle according to claim 5, characterized in that, The biometric information includes heart rate variability and skin conductance data. Based on the biometric information and the warning information, the vehicle system is controlled to send driving guidance information, including: When it is determined, based on the warning information, that the vehicle will enter a risk point after a preset time, the vehicle system is controlled to send the driving guidance information. The smoothness of the driver's operation under the driving guidance information is obtained; The driver's psychological stress level was estimated based on the heart rate variability and the skin conductance data; The driving guidance information is adjusted based on the operational smoothness and the psychological stress level.

7. The driving guidance method for a vehicle according to claim 6, characterized in that, The method further includes: After the vehicle passes the risk point, the driver's current operational stability and current psychological stress level are obtained; When the current operational stability and the current psychological stress level are both within a preset range, positive feedback information is sent to the wearable smart terminal. When the current operational stability or the current psychological stress level is not within the preset range, record and adjust the driving guidance information for subsequent risk points.

8. A computer-readable storage medium, characterized in that, It stores a vehicle driving guidance program, which, when executed by a processor, implements the vehicle driving guidance method according to any one of claims 1-7.

9. A driving guidance device for a vehicle, characterized in that, The vehicle is connected to the driver's personal smart terminal via an in-vehicle system. The personal smart terminal is equipped with a biosensor. The device includes: The sending module is used to send the target driving route and driver information to the cloud server, so that the cloud server can generate a warning message based on the target driving route and the driver information. The acquisition module is used to acquire the warning information and the driver's biometric information collected by the biosensor; The control module is used to control the vehicle system to send driving guidance information based on the biometric information and the warning information, so that the driver can drive the vehicle based on the driving guidance information.

10. A vehicle, characterized in that, Includes the driving guidance device for the vehicle as described in claim 9.

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