An adaptive cruise control method, device, vehicle, equipment, and medium
By identifying specific caregivers and driver information, the system recommends and allows drivers to adjust driving parameters autonomously, thus solving the problem of adaptive cruise control strategies failing to adapt to different driving habits and improving passenger comfort and driver autonomy.
Patent Information
- Application Number
- CN202411248774.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-06
- Publication Date
- 2025-10-31
- Estimated Expiration
- 2044-09-06
AI Technical Summary
Existing adaptive cruise control strategies fail to adapt to different drivers' driving habits and passengers' comfort needs, resulting in reduced passenger comfort and sense of security, and affecting users' willingness to use the adaptive cruise function.
By identifying whether there are specific caregivers among the current passengers and the driver's personal information, different driving parameters are recommended, including parameters to alleviate motion sickness, parameters for maximum efficiency, and personalized parameters. Drivers are allowed to select and adjust these parameters themselves, ultimately achieving adaptive cruise control.
It improves the user experience of adaptive cruise control for passengers, meets the personalized needs of different drivers and passengers, and enhances passenger comfort and driver autonomy.
Smart Images

Figure CN118953348B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vehicle control, specifically to an adaptive cruise control method, device, vehicle, equipment, and medium. Background Technology
[0002] Adaptive cruise control is already a widely used feature. Before activating existing adaptive cruise control, users can manually adjust settings such as speed limit switches, speed limit deviation, and following distance. However, parameters related to acceleration, deceleration, and steering cannot be manually adjusted by the user. These parameters rely on factory presets from engineers and cannot be automatically optimized based on the user's driving habits. Excessive acceleration or deceleration may reduce passenger comfort, and aggressive steering may reduce passenger safety, leading to a significant decrease in subsequent use of adaptive cruise control and increased user dissatisfaction. Summary of the Invention
[0003] To address the issue that existing adaptive cruise control strategies do not take into account the driving habits of different drivers and the riding comfort of different passengers, this application provides an adaptive cruise control method, device, vehicle, equipment, and medium.
[0004] The technical solution of this application is as follows:
[0005] On the one hand, this application provides an adaptive cruise control method, including:
[0006] Once the adaptive cruise control function is activated, it recommends driving parameters to the current driver based on the first identification result of whether there are any specific people to be cared for among the current passengers and the second identification result of the current driver's personal information;
[0007] Adaptive cruise control operates based on the optimal driving parameters selected by the current driver.
[0008] Preferably, the step of recommending driving parameters to the driver based on a first identification result of whether there is a specific care group among the current passengers and a second identification result of the current driver's personal information includes:
[0009] If the first identification result indicates that there is a specific care group among the current passengers and the second identification result indicates that the current driver's personal information cannot be matched, then the first driving parameters and the second driving parameters are recommended to the driver.
[0010] If the first identification result indicates that there is no specific caregiver among the current passengers and the second identification result indicates that the current driver's personal information cannot be matched, then the second driving parameters are recommended to the driver.
[0011] If the first identification result indicates that there is a specific care group among the current passengers and the second identification result indicates that the current driver's personal information can be matched, then the first driving parameter, the second driving parameter, and the third driving parameter are recommended to the driver.
[0012] If the first identification result indicates that there is no specific caregiver among the current passengers and the second identification result indicates that the current driver's personal information can be matched, then the first driving parameter and the third driving parameter are recommended to the driver.
[0013] The first driving parameter is a pre-calibrated driving parameter designed to alleviate or prevent motion sickness in a specific care group;
[0014] The second driving parameter is a pre-calibrated driving parameter that maximizes the vehicle's driving efficiency under the current driving conditions;
[0015] The third driving parameter is a driving personality parameter obtained by matching the current driver's historical driving data under the current driving conditions.
[0016] Preferably, the method further includes:
[0017] Obtain the current driver's input command to adjust the optimal driving parameters;
[0018] Adjust the optimal driving parameters according to the input instructions;
[0019] The adjusted target driving parameters are updated to the driving personality parameters matched by the current driver under the current driving conditions, and adaptive cruise is performed according to the adjusted target driving parameters.
[0020] Preferably, driving parameters are recommended to the driver via voice or the vehicle's infotainment display.
[0021] Preferably, facial image recognition is performed on the current driver and current passengers inside the vehicle to identify the personal information of specific care recipients and the current driver.
[0022] On the other hand, this application also provides an adaptive cruise control device, comprising:
[0023] The driving parameter recommendation module is used to recommend driving parameters to the current driver after the adaptive cruise control function is activated, based on the first identification result of whether there are specific people to be cared for among the current passengers and the second identification result of the current driver's personal information.
[0024] The adaptive cruise control module is used to adaptively cruise based on the optimal driving parameters currently selected by the driver.
[0025] Preferably, the driving parameter recommendation module includes:
[0026] The first driving parameter recommendation unit is used to recommend first driving parameters and second driving parameters to the driver if the first identification result indicates that there is a specific care group among the current passengers and the second identification result indicates that the current driver's personal information cannot be matched.
[0027] The second driving parameter recommendation unit is used to recommend the second driving parameters to the driver if the first identification result shows that there is no specific caregiver among the current passengers and the second identification result shows that the current driver's personal information cannot be matched.
[0028] The third driving parameter recommendation unit is used to recommend the first driving parameter, the second driving parameter, and the third driving parameter to the driver if the first identification result indicates that there is a specific care group among the current passengers and the second identification result indicates that the current driver's personal information can be matched.
[0029] The fourth driving parameter recommendation unit is used to recommend the first driving parameter and the third driving parameter to the driver if the first identification result shows that there is no specific caregiver among the current passengers and the second identification result shows that the current driver's personal information can be matched.
[0030] The first driving parameter is a pre-calibrated driving parameter designed to alleviate or prevent motion sickness in a specific care group;
[0031] The second driving parameter is a pre-calibrated driving parameter that maximizes the vehicle's driving efficiency under the current driving conditions;
[0032] The third driving parameter is a driving personality parameter obtained by matching the current driver's historical driving data under the current driving conditions.
[0033] Preferably, the device further includes:
[0034] The optimal driving parameter instruction adjustment input module is used to obtain the input instruction from the current driver to adjust the optimal driving parameters;
[0035] The optimal driving parameter instruction module is used to adjust the optimal driving parameters according to the input instruction.
[0036] The driving personality parameter update module is used to update the adjusted target driving parameters to the driving personality parameters matched by the current driver under the current driving conditions, and to perform adaptive cruise according to the adjusted target driving parameters.
[0037] Preferably, driving parameters are recommended to the driver via voice or the vehicle's infotainment display.
[0038] Preferably, facial image recognition is performed on the current driver and current passengers inside the vehicle to identify the personal information of specific care recipients and the current driver.
[0039] On the other hand, this application also provides a vehicle including the aforementioned adaptive cruise control device.
[0040] On the other hand, this application also provides a control device, including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the adaptive cruise control method as described above.
[0041] On the other hand, this application also provides a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the adaptive cruise control method as described above.
[0042] The beneficial effects of this application are as follows:
[0043] By identifying whether there are specific groups of passengers requiring special care among the current passengers and by identifying the current driver's personal information, driving parameters are recommended. This takes into account both the riding comfort of specific groups of passengers requiring special care and the driving habits of different drivers. Drivers can choose the optimal driving parameters for adaptive cruise control, thereby improving the user experience of the adaptive cruise function for passengers in the vehicle. Attached Figure Description
[0044] Figure 1 This is a flowchart illustrating the adaptive cruise control method in the embodiments of this application. Figure 1 ;
[0045] Figure 2 This is a flowchart illustrating the adaptive cruise control method in the embodiments of this application. Figure 2 ;
[0046] Figure 3 This is a detailed flowchart illustrating the adaptive cruise control method in the embodiments of this application. Detailed Implementation
[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments and the accompanying drawings. It should be understood that these descriptions are merely exemplary and not intended to limit the scope of the invention. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concept of the invention.
[0048] Reference Figure 1 This application provides an adaptive cruise control method, including:
[0049] S1. After the adaptive cruise control function is activated, it recommends driving parameters to the current driver based on the first identification result of whether there are any special care groups among the current passengers and the second identification result of the current driver's personal information.
[0050] S2 enables adaptive cruise control based on the optimal driving parameters selected by the current driver.
[0051] In this embodiment, the adaptive cruise control function needs to be manually activated by the driver. When the driver believes that the current driving environment is suitable for adaptive cruise control, the driver can activate the function through the physical button of the adaptive cruise control function on the vehicle; or, the driver can activate the function through the virtual button of the adaptive cruise control function on the vehicle's infotainment system.
[0052] When the adaptive cruise control function is activated, the vehicle's camera collects image information of the occupants inside the vehicle. This image information includes the current image of the driver and the images of the passengers.
[0053] By comparing the image information of the current driver captured by the in-vehicle camera with the stored image information of the driver, the vehicle's onboard occupant detection and identification device can identify whether the current driver's image information has been recorded, and further determine whether the current driver's historical driving data has been recorded.
[0054] In addition, the vehicle's occupant detection and identification device uses images of passengers collected by the driver to identify whether there are elderly people, children, pregnant women, or passengers who have been drinking, or other special care groups among the passengers.
[0055] For the identification of specific caregivers such as the elderly, children, and pregnant women, identification can be achieved simply through conventional image feature comparison.
[0056] In this embodiment, the logic for determining whether a passenger is intoxicated using a vehicle-mounted occupant detection and identification device can be as follows: Based on the passenger's spectral image, determine whether the passenger is in a state of intoxication. When a passenger is intoxicated, they exhale gas containing a mixture of alcohol molecules and their adhering substances through their mouth and nose, which adheres to the passenger's face. When a light signal of a preset wavelength strikes the alcohol mixture, it is absorbed, allowing the spectral image acquisition sensor to capture the corresponding spectral image; thus, it is possible to detect whether the passenger has been intoxicated.
[0057] In the embodiments of this application, reference is made to Figure 2In step S1, the step of recommending driving parameters to the current driver based on the first identification result of whether there are specific care groups among the current passengers and the second identification result of the current driver's personal information includes:
[0058] S11, if the first identification result indicates that there is a specific care group among the current passengers and the second identification result indicates that the current driver's personal information cannot be matched, then the first driving parameters and the second driving parameters are recommended to the driver.
[0059] S12, if the first identification result indicates that there is no specific care group among the current passengers and the second identification result indicates that the current driver's personal information cannot be matched, then the second driving parameters are recommended to the driver;
[0060] S13, if the first identification result indicates that there is a specific care group among the current passengers and the second identification result indicates that the current driver's personal information can be matched, then the first driving parameter, the second driving parameter and the third driving parameter are recommended to the driver;
[0061] S14, if the first identification result indicates that there is no specific care group among the current passengers and the second identification result indicates that the current driver's personal information can be matched, then the first driving parameters and the third driving parameters are recommended to the driver.
[0062] In this embodiment of the application, if there is at least one of the following groups among the passengers: elderly, children, pregnant women, and passengers who have been drinking, it is determined that there is a specific group of people to be cared for among the current passengers.
[0063] In this embodiment, the first driving parameter is a pre-calibrated driving parameter to alleviate or avoid motion sickness in a specific care group; the second driving parameter is a pre-calibrated driving parameter that maximizes vehicle driving efficiency under the current driving conditions; and the third driving parameter is a driving personality parameter obtained by matching the current driver's historical driving data under the current driving conditions.
[0064] The first driving parameter was obtained by statistically analyzing the acceleration caused by motion sickness in these specific care groups under different driving conditions. Specifically, it is the acceleration range (A) formed by the maximum acceleration that causes motion sickness in the specific care group when the vehicle accelerates under different driving conditions and the minimum deceleration that causes motion sickness in the specific care group when the vehicle decelerates under different driving conditions. min-recom A max-recom ).
[0065] The second driving parameter is a pre-calibrated parameter, which mainly adjusts the acceleration range (A) in real time based on the vehicle's current speed and the following distance set by the driver. min-stand A max-stand ).
[0066] The third driving parameter is obtained by matching the driver's historical driving data under the current driving conditions when the adaptive cruise control function is turned off. The driver's historical driving data under different driving conditions is recorded in the vehicle's driving personality parameter processor.
[0067] Specifically, the driving personality parameter processor can select the minimum acceleration value from multiple acceleration values during acceleration under the current driving conditions as the maximum acceleration value in the third driving parameter, and select the maximum deceleration value from multiple deceleration values during deceleration under the current driving conditions as the minimum acceleration value in the third driving parameter. The maximum and minimum acceleration values constitute the acceleration range (A) representing the third driving parameter. min A max ).
[0068] The vehicle's adaptive cruise control then recommends one or more of the three acceleration ranges to the driver based on the aforementioned first and second recognition results, allowing the driver to select the optimal driving parameters.
[0069] When collecting optimal driving parameters input by the user, the adaptive cruise control controller can collect data through the in-vehicle microphone for reading voice commands or by reading user touch operation commands on the vehicle's touchscreen display.
[0070] After collecting the optimal driving parameters input by the user, the adaptive cruise control determines whether to adjust the acceleration based on the acceleration collected in real time by the acceleration sensor, and then makes reasonable adjustments to the real-time acceleration according to the optimal driving parameters.
[0071] After the adaptive cruise control controller outputs a command to adjust acceleration, the vehicle's power / braking actuators will execute the corresponding actions. Based on the acceleration control command from the adaptive cruise control controller, the power / braking actuators increase or decrease the current flowing into them to drive the electric motor and generate electricity, thereby achieving vehicle acceleration and deceleration.
[0072] The method described in this application embodiment recommends driving parameters based on a first identification result of whether there is a specific care group among the current passengers and a second identification result of the current driver's personal information. This takes into account both the riding comfort of the specific care group and the driving habits of different drivers. The driver can choose the optimal driving parameters for adaptive cruise control, thereby improving the user experience of the adaptive cruise function for passengers in the vehicle.
[0073] After the adaptive cruise control adjusts the vehicle's acceleration according to the user-selected optimal driving parameters, if the user is not satisfied with the current acceleration, they are allowed to adjust the acceleration. At this time, referencing... Figure 3 The method in this application embodiment further includes:
[0074] S3, obtain the current driver's input command to adjust the optimal driving parameters;
[0075] S4, adjust the optimal driving parameters according to the input command;
[0076] S5 updates the adjusted target driving parameters to the driving personality parameters matched by the current driver under the current driving conditions, and performs adaptive cruise control according to the adjusted target driving parameters.
[0077] When adaptive cruise control is activated, the driver can adjust the optimal driving parameters in real time via voice or by touching the vehicle's infotainment display. When adjusting the optimal driving parameters via voice, the in-vehicle microphone collects the driver's voice commands and transmits them to the vehicle's infotainment controller. The controller recognizes the voice commands and processes them into four types of operation commands: accelerate faster, accelerate slower, decelerate faster, and decelerate slower.
[0078] The aforementioned voice operation commands are transmitted from the vehicle's infotainment system controller to the driver personalization parameter processor, which performs the following calculations on the current optimal driving parameters based on different command signals:
[0079] The "Accelerate" voice command control optimizes the maximum acceleration calculation in the optimal driving parameters.
[0080] NA max =A max +ΔApos
[0081] Among them, A max The maximum acceleration selected by the current driver from the optimal driving parameters, NA max ΔApos represents the maximum acceleration in the optimal driving parameters after voice command control optimization, and is the acceleration acceleration after a single voice control command change during acceleration. This value is the calibration value.
[0082] The "accelerate / slow down" voice command control optimizes the maximum acceleration calculation in the optimal driving parameters.
[0083] NA max =A max -ΔApos
[0084] Among them, A max The maximum acceleration selected by the current driver from the optimal driving parameters, NA maxΔApos represents the maximum acceleration in the optimal driving parameters after voice command control optimization, and is the acceleration acceleration after a single voice control command change during acceleration. This value is the calibration value.
[0085] The "decelerate / accelerate" voice command control optimizes the minimum acceleration calculation in the optimal driving parameters.
[0086] NA min =A min -ΔAneg
[0087] Among them, A min NA is the minimum acceleration among the optimal driving parameters selected by the current driver. min ΔAneg is the minimum acceleration in the optimal driving parameters after voice command control optimization, and ΔAneg is the acceleration of a single voice control command change during deceleration. This value is the calibration value.
[0088] The "Slow Down" voice command control optimizes the minimum acceleration calculation in the optimal driving parameters.
[0089] NA min =A min +Aneg
[0090] Among them, A min NA is the minimum acceleration among the optimal driving parameters selected by the current driver. min ΔAneg is the minimum acceleration in the optimal driving parameters after voice command control optimization, and ΔAneg is the acceleration of a single voice control command change during deceleration. This value is the calibration value.
[0091] The optimal driving parameters, after being actively adjusted by the driver, are transmitted from the driver personality parameter processor to the adaptive cruise controller. The acceleration control command issued by the adaptive cruise controller should not exceed the optimized driving parameters.
[0092] At the same time, the driving personality parameter processor transmits the optimized driving parameters to the driving personality memory to realize the optimized storage of the driving personality parameters corresponding to the current driver.
[0093] On the other hand, this application also provides an adaptive cruise control device, comprising:
[0094] The driving parameter recommendation module is used to recommend driving parameters to the current driver after the adaptive cruise control function is activated, based on the first identification result of whether there are specific people to be cared for among the current passengers and the second identification result of the current driver's personal information.
[0095] The adaptive cruise control module is used to adaptively cruise based on the optimal driving parameters currently selected by the driver.
[0096] Preferably, the driving parameter recommendation module includes:
[0097] The first driving parameter recommendation unit is used to recommend first driving parameters and second driving parameters to the driver if the first identification result shows that there is a specific care group among the current passengers and the second identification result shows that the personal information of the current driver cannot be matched.
[0098] The second driving parameter recommendation unit is used to recommend second driving parameters to the driver if the first identification result shows that there is no specific care group among the current passengers and the second identification result shows that the current driver's personal information cannot be matched.
[0099] The third driving parameter recommendation unit is used to recommend first driving parameters, second driving parameters and third driving parameters to the driver if the first identification result shows that there is a specific care group among the current passengers and the second identification result shows that the current driver's personal information can be matched.
[0100] The fourth driving parameter recommendation unit is used to recommend the first driving parameter and the third driving parameter to the driver if the first identification result shows that there is no specific care group among the current passengers and the second identification result shows that the current driver's personal information can be matched.
[0101] The first driving parameter is a pre-calibrated driving parameter designed to alleviate or prevent motion sickness in specific care groups;
[0102] The second driving parameter is a pre-calibrated driving parameter that maximizes the vehicle's driving efficiency under the current driving conditions;
[0103] The third driving parameter is a driving personality parameter obtained by matching the current driver's historical driving data under the current driving conditions.
[0104] Preferably, the device further includes:
[0105] The optimal driving parameter instruction adjustment input module is used to obtain the current driver's input instruction to adjust the optimal driving parameters;
[0106] The optimal driving parameter instruction module is used to adjust the optimal driving parameters according to the input instructions;
[0107] The driving personality parameter update module is used to update the adjusted target driving parameters to the driving personality parameters matched by the current driver under the current driving conditions, and to perform adaptive cruise control according to the adjusted target driving parameters.
[0108] Preferably, driving parameters are recommended to the driver via voice or the vehicle's infotainment display.
[0109] Preferably, facial image recognition is performed on the current driver and current passengers inside the vehicle to identify the personal information of specific care recipients and the current driver.
[0110] On the other hand, this application also provides a vehicle including the aforementioned adaptive cruise control device.
[0111] On the other hand, this application also provides a control device, including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the adaptive cruise control method as described above.
[0112] On the other hand, this application also provides a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the adaptive cruise control method as described above.
[0113] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.
[0114] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.
[0115] It should also be noted that, in this document, the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used for the convenience of describing the invention and for 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 invention. Furthermore, relational terms such as "first" and "second" are used to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between these entities or operations, nor should they be construed as indicating or implying relative importance. Moreover, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements does not include those elements, but also includes other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes the element.
[0116] The technical solution provided by this invention has been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this invention. The descriptions of the above embodiments are only for the purpose of helping to understand this invention, and the content of this specification should not be construed as a limitation of this invention. Furthermore, for those skilled in the art, there will be different forms of changes in the specific implementation methods and application scope based on this invention. It is neither necessary nor possible to exhaustively list all implementation methods here, but obvious changes or modifications derived therefrom are still within the protection scope of this invention.
Claims
1. An adaptive cruise control method, characterized in that, include: Once the adaptive cruise control function is activated, it recommends driving parameters to the current driver based on the first identification result of whether there are any specific people to be cared for among the current passengers and the second identification result of the current driver's personal information; Adaptive cruise control is activated based on the optimal driving parameters selected by the current driver. Based on the first identification result of whether there are specific care groups among the current passengers and the second identification result of the current driver's personal information, the steps for recommending driving parameters to the driver include: If the first identification result indicates that there is a specific care group among the current passengers and the second identification result indicates that the current driver's personal information cannot be matched, then the first driving parameters and the second driving parameters are recommended to the driver. If the first identification result indicates that there is no specific caregiver among the current passengers and the second identification result indicates that the current driver's personal information cannot be matched, then the second driving parameters are recommended to the driver. If the first identification result indicates that there is a specific care group among the current passengers and the second identification result indicates that the current driver's personal information can be matched, then the first driving parameter, the second driving parameter, and the third driving parameter are recommended to the driver. If the first identification result indicates that there is no specific caregiver among the current passengers and the second identification result indicates that the current driver's personal information can be matched, then the first driving parameter and the third driving parameter are recommended to the driver. The first driving parameter is a pre-calibrated driving parameter designed to alleviate or prevent motion sickness in a specific care group; The second driving parameter is a pre-calibrated driving parameter that maximizes the vehicle's driving efficiency under the current driving conditions; The third driving parameter is a driving personality parameter obtained by matching the current driver's historical driving data under the current driving conditions.
2. The adaptive cruise control method according to claim 1, characterized in that, The method further includes: Obtain the current driver's input command to adjust the optimal driving parameters; Adjust the optimal driving parameters according to the input instructions; The adjusted target driving parameters are updated to the driving personality parameters matched to the current driver under the current driving conditions, and adaptive cruise control is performed according to the adjusted target driving parameters.
3. The adaptive cruise control method according to claim 1, characterized in that, Recommend driving parameters to the driver via voice or the vehicle's infotainment display.
4. The adaptive cruise control method according to claim 1, characterized in that, By performing facial image recognition on the current driver and passengers inside the vehicle, the personal information of specific care recipients and the current driver can be identified.
5. An adaptive cruise control device, characterized in that, include: The driving parameter recommendation module is used to recommend driving parameters to the current driver after the adaptive cruise control function is activated, based on the first identification result of whether there are specific people to be cared for among the current passengers and the second identification result of the current driver's personal information. The adaptive cruise control module is used to adaptively cruise based on the optimal driving parameters currently selected by the driver. The driving parameter recommendation module includes: The first driving parameter recommendation unit is used to recommend first driving parameters and second driving parameters to the driver if the first identification result indicates that there is a specific care group among the current passengers and the second identification result indicates that the current driver's personal information cannot be matched. The second driving parameter recommendation unit is used to recommend the second driving parameters to the driver if the first identification result shows that there is no specific caregiver among the current passengers and the second identification result shows that the current driver's personal information cannot be matched. The third driving parameter recommendation unit is used to recommend the first driving parameter, the second driving parameter, and the third driving parameter to the driver if the first identification result indicates that there is a specific care group among the current passengers and the second identification result indicates that the current driver's personal information can be matched. The fourth driving parameter recommendation unit is used to recommend the first driving parameter and the third driving parameter to the driver if the first identification result shows that there is no specific caregiver among the current passengers and the second identification result shows that the current driver's personal information can be matched. The first driving parameter is a pre-calibrated driving parameter designed to alleviate or prevent motion sickness in a specific care group; The second driving parameter is a pre-calibrated driving parameter that maximizes the vehicle's driving efficiency under the current driving conditions; The third driving parameter is a driving personality parameter obtained by matching the current driver's historical driving data under the current driving conditions.
6. A vehicle, characterized in that, Includes the adaptive cruise control device as described in claim 5.
7. A control device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the adaptive cruise control method as described in any one of claims 1 to 4.
8. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the adaptive cruise control method as described in any one of claims 1 to 4.
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