Parameter adjustment method for intelligent auxiliary driving, electronic equipment and program product

Abstract

The invention provides a parameter adjustment method for intelligent auxiliary driving, electronic equipment and a program product, and relates to the technical field of intelligent driving. The method comprises the steps that the driving state abnormity of a driver is obtained, and the driving state abnormity comprises at least one abnormity type of a steering wheel hand slipping abnormity, a driver distraction or fatigue abnormity and a driver seat leaving abnormity; according to the abnormal driving state, parameters of intelligent auxiliary driving are adjusted; wherein the parameters comprise at least one of the time interval, the sensitivity of the emergency response and the reminding mode. The method and the device are used for realizing self-adaptive adjustment of the intelligent auxiliary driving function.

Description

Technical Field

[0001] The present disclosure relates to the field of intelligent driving technology, and in particular to a parameter adjustment method, electronic equipment, and program product for intelligent assisted driving. Background Art

[0002] Intelligent assisted driving is a technology that assists the driver in completing part or all driving operations through automated functions. Its core goal is to improve driving safety and comfort through human-machine collaboration.

[0003] How to improve the safety and comfort of intelligent assisted driving functions during vehicle driving is the focus of the research. Summary of the Invention

[0004] In view of this, the embodiments of the present disclosure provide a parameter adjustment method, electronic device, and program product for intelligent assisted driving to achieve adaptive adjustment of the intelligent assisted driving function.

[0005] In a first aspect, the present disclosure provides a method for adjusting parameters of an intelligent assisted driving system, comprising:

[0006] Acquiring an abnormal driving state of the driver, wherein the abnormal driving state includes at least one abnormal type of abnormality selected from the group consisting of hands-off steering, abnormal driver mental state, and abnormal driver leaving the seat;

[0007] According to the abnormal driving state, the parameters of the intelligent assisted driving are adjusted; wherein the parameters include at least one of the time interval, the sensitivity of the emergency response and the reminder method.

[0008] In a second aspect, the present disclosure provides an electronic device, including:

[0009] at least one processor; and

[0010] a memory communicatively connected to the at least one processor; wherein,

[0011] The memory stores at least one computer program that can be executed by the at least one processor, and the at least one computer program is executed by the at least one processor so that the at least one processor can execute the parameter adjustment method for intelligent assisted driving as described in the first aspect.

[0012] In a third aspect, the present disclosure provides a computer program product, which includes a computer program. When the computer program is executed in a processor, it implements the parameter adjustment method of the intelligent assisted driving described in the first aspect.

[0013] The embodiments provided by the present disclosure obtain the driver's driving state abnormality and adjust at least one parameter of the intelligent assisted driving, such as the time interval, sensitivity and reminder method, according to the abnormality type included in the driving state abnormality. Therefore, the parameters of the intelligent assisted driving can be adaptively adjusted according to the driving state abnormality identified in real time, so that the adjusted parameters of the intelligent assisted driving can adapt to the current driving state abnormality, thereby providing protection for driving safety and comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0015] Figure 1 Schematic diagram of the parameter adjustment method of intelligent assisted driving in an embodiment of the present disclosure;

[0016] Figure 2 Shown is a schematic diagram of an example of parameter adjustment for intelligent assisted driving triggered when a driver's mental state is abnormal in an embodiment of the present disclosure;

[0017] Figure 3 Schematic diagram showing an example of parameter adjustment for intelligent assisted driving triggered by a hands-off steering abnormality in an embodiment of the present disclosure;

[0018] Figure 4 Schematic diagram showing an example of parameter adjustment for intelligent assisted driving triggered by an abnormal driver leaving a seat in an embodiment of the present disclosure;

[0019] Figure 5 Schematic diagram showing an example of parameter adjustment for intelligent assisted driving triggered when a level one abnormal mental state and a level one hands-off steering abnormality coexist in an embodiment of the present disclosure;

[0020] Figure 6 Schematic diagram showing an example of parameter adjustment for intelligent assisted driving triggered when a level one abnormal mental state and a level two abnormal steering wheel release occur simultaneously in an embodiment of the present disclosure;

[0021] Figure 7 Schematic diagram showing an example of parameter adjustment for intelligent assisted driving triggered when a level 1 abnormal mental state and a level 3 hands-off steering abnormality coexist in an embodiment of the present disclosure;

[0022] Figure 8Schematic diagram showing an example of parameter adjustment for intelligent assisted driving triggered when a level one or level two mental state abnormality and a driver leaving the seat abnormality coexist in an embodiment of the present disclosure;

[0023] Figure 9 Schematic diagram showing an example of parameter adjustment for intelligent assisted driving triggered by a simultaneous presence of a level one or level two mental state abnormality, a level one, level two, or level three hands-off steering abnormality, and a driver leaving their seat abnormality in an embodiment of the present disclosure;

[0024] Figure 10 FIG. 1 is a schematic structural diagram of an electronic device in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present disclosure without making any creative efforts shall fall within the scope of protection of the present disclosure.

[0026] In the absence of conflict, the various embodiments of the present disclosure and the various features therein may be combined with each other.

[0027] As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0028] The terms used herein are only used to describe specific embodiments and are not intended to limit the present disclosure. As used herein, the singular forms "a" and "the" are also intended to include the plural forms, unless the context clearly indicates otherwise. It will also be understood that when the terms "comprising" and / or "made of" are used in this specification, the presence of the features, wholes, steps, operations, elements and / or components is specified, but the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof is not excluded. Similar words such as "connected" or "connected" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0029] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and the present disclosure, and will not be interpreted as having an idealized or overly formal meaning unless expressly defined as such herein.

[0030] Exemplary Methods

[0031] The parameter adjustment method for intelligent assisted driving provided in the embodiments of the present disclosure can be applied to a vehicle controller, or to other terminals capable of communicating with the vehicle and / or sensors installed on the vehicle. For example, the parameter adjustment method for intelligent assisted driving provided in the embodiments of the present disclosure is applied to the vehicle's intelligent driving domain controller (ADASDomain Controller Unit, ADCU).

[0032] The parameter adjustment method of the intelligent assisted driving provided by the embodiment of the present disclosure is as follows: Figure 1 As shown, it mainly includes the following steps 101-102:

[0033] Step 101 : Acquire the abnormal driving state of the driver, wherein the abnormal driving state includes at least one abnormal type of abnormality selected from the group consisting of hands-off steering, abnormal driver mental state, and abnormal driver leaving seat.

[0034] Exemplarily, the vehicle includes a driver monitoring system (DMS), a hands-off detection system (HOD), and a seat detection sensor. The DMS monitors and analyzes the driver's facial features in real time, and can identify the state of the eyes, head posture, blinking frequency, etc. to determine whether the driver is tired or distracted. After identifying that the driver is distracted or fatigued, the HOD transmits a signal indicating that the driver's mental state is abnormal to the intelligent driving domain controller. The HOD detects whether the driver's hands are in the ring through capacitance or torque, and transmits a signal indicating that the steering wheel is out of the hands to the intelligent driving domain controller when it detects that the steering wheel is out of the hands. The seat detection sensor detects whether the driver is in the driving position, and transmits a signal indicating that the driver has left the seat to the intelligent driving domain controller when it detects that the driver has left the seat.

[0035] The Intelligent Driving Domain Controller collects activation signals from the DMS, HOD, and seat detection sensors, determines if the driver's driving state is abnormal, and then takes subsequent steps to adjust the parameters of intelligent assisted driving. The Display Head Unit (DHU) transmits these adjusted parameters to the instrument cluster and central display for display.

[0036] Step 102: Adjust the parameters of the intelligent assisted driving according to the abnormal driving state; wherein the parameters include at least one of the time interval, the sensitivity of the emergency response, and the reminder method.

[0037] In some embodiments, adjusting the intelligent assisted driving parameters based on the abnormal driving state includes: when the abnormal driving state includes a driver leaving the seat abnormality, adjusting the intelligent assisted driving parameters according to a first adjustment strategy; wherein the first adjustment strategy is to maximize the time headway indicated by the adjusted parameters, maximize the emergency response sensitivity, and maximize the reminder sensitivity. Regardless of the number of abnormality types included in the abnormal driving state, as long as the abnormality type includes the driver leaving the seat type, the intelligent assisted driving parameters are adjusted to the safest level, i.e., maximize the time headway, maximize the emergency response sensitivity, and maximize the reminder sensitivity, to ensure driving safety.

[0038] Exemplarily, the first adjustment strategy includes at least one of the following. In an exemplary implementation, the first adjustment strategy includes all of the following:

[0039] Adjust the Adaptive Cruise Control (ACC / LCC) timing to the highest setting;

[0040] Adjusted the sensitivity of the Collision Mitigation Support Front (CMSF) function to be earlier;

[0041] Adjust the Lane Change Assist (LCA) function reminder mode to audio reminder;

[0042] Set the Lane Departure Prevention (LDP) function to On;

[0043] Adjust the Lane Departure Warning (LDW) function's reminder mode to vibration warning;

[0044] Adjust the Rear Collision Warning (RCW) function to on.

[0045] In some embodiments, adjusting the parameters of intelligent assisted driving according to the abnormal driving state includes: when the abnormal driving state includes a hands-off steering type or an abnormal driver's mental state, determining the abnormality level of the abnormal type; when the abnormality level of the abnormal type is higher than a preset level, obtaining a target adjustment strategy corresponding to the abnormality level of the abnormal type; adjusting the parameters of the intelligent assisted driving according to the target adjustment strategy; wherein, the higher the abnormality level, the longer the time interval indicated by the parameters after adjustment of the corresponding target adjustment strategy, the higher the sensitivity of the emergency response, and the more sensitive the reminder method.

[0046] A higher abnormality level indicates a higher degree of abnormality, for example, level 2 corresponds to a higher degree of abnormality than level 1. For example, the abnormality levels of driver distraction or fatigue are divided into level 1 and level 2, and the abnormality levels of hands-off steering are divided into level 1, level 2, and level 3.

[0047] Specifically, the preset level is level one; when the abnormality type is abnormal driver mental state or hands-off steering wheel, and the abnormality level is level two, the target adjustment strategy is the second adjustment strategy; when the duration of the abnormal driver mental state is greater than the first duration threshold and less than the second duration threshold, the corresponding abnormality level is level two, and the first duration threshold is less than the second duration threshold; when the duration of the hands-off steering wheel abnormality is greater than the third duration threshold and less than the fourth duration threshold, the corresponding abnormality level is level two, and the third duration threshold is less than the fourth duration threshold;

[0048] When the abnormality type is a hands-off steering wheel abnormality and the abnormality level is level three, the target adjustment strategy is the first adjustment strategy; when the duration of the hands-off steering wheel abnormality is greater than or equal to the fourth duration threshold, the corresponding abnormality level is level three;

[0049] Among them, the time interval indicated by the first adjustment strategy is greater than that of the second adjustment strategy, the sensitivity of the emergency response indicated by the first adjustment strategy is higher than that of the second adjustment strategy, and the sensitivity of the reminder method indicated by the first adjustment strategy is higher than that of the second adjustment strategy.

[0050] Exemplarily, the second adjustment strategy includes at least one of the following. In an exemplary embodiment, the second adjustment strategy includes all of the following:

[0051] Adjust the adaptive cruise control headway to a level not lower than the target gear, which is lower than the highest gear. The lower the gear, the shorter the headway.

[0052] The sensitivity of the CMSF function was adjusted to moderate;

[0053] Adjust the reminder mode of the LCA function to either light or sound reminder. For example, the location of the light can be at least one of the exterior rearview mirror light, A-pillar trim, and the interior screen of the electronic exterior rearview mirror;

[0054] Adjust the LDP function to be enabled;

[0055] Adjust the reminder mode of LDW function to vibration warning;

[0056] Adjust the RCW function to on.

[0057] In the second adjustment strategy, light is less sensitive than sound for LCA alerts. The specific alert method used is determined by the severity of the anomaly. Generally, the higher the anomaly level, the more sensitive the alert method. The adaptive cruise control interval must not fall below the target level, which is pre-configured based on requirements, for example, level 3.

[0058] In some embodiments, adjusting the parameters of intelligent assisted driving according to the abnormal driving state includes: when the abnormal driving state includes hands-off steering and abnormal driver mental state, respectively obtaining the abnormality level of each abnormality type, and adjusting the parameters of the intelligent assisted driving according to the abnormality level of each abnormality type.

[0059] Specifically, the adjusting the parameters of the intelligent assisted driving according to the abnormality level of each abnormality type includes: when the abnormality level of the hands-off steering wheel abnormality is level one or level two, and the abnormality level of the driver's mental state abnormality is level one, or when the abnormality level of the hands-off steering wheel abnormality is level one and the abnormality level of the driver's mental state abnormality is level two, adjusting the parameters of the intelligent assisted driving according to the second adjustment strategy; when the duration of the hands-off steering wheel abnormality is less than or equal to a third duration threshold, the corresponding abnormality level is level one; when the duration of the hands-off steering wheel abnormality is greater than the third duration threshold and less than a fourth duration threshold, the corresponding abnormality level is level two; the third duration threshold is less than the fourth duration threshold; when the duration of the driver's mental state abnormality is less than or equal to the first duration threshold, the corresponding abnormality level is level one; when the duration of the driver's mental state abnormality is greater than the first duration threshold and less than the second duration threshold, the corresponding abnormality level is level two, and the first duration threshold is less than the second duration threshold;

[0060] When the abnormality level of the hands-off steering wheel abnormality is level 2 and the abnormality level of the abnormal mental state of the driver is level 2, or when the abnormality level of the hands-off steering wheel abnormality is level 3 and the abnormality level of the abnormal mental state of the driver is level 1 or level 2, the parameters of the intelligent assisted driving are adjusted according to the first adjustment strategy; when the duration of the hands-off steering wheel abnormality is greater than or equal to the fourth duration threshold, the corresponding abnormality level is level 3;

[0061] Among them, the time interval indicated by the adjusted parameters of the first adjustment strategy is greater than that of the second adjustment strategy, the sensitivity of the emergency response is higher than that of the second adjustment strategy, and the sensitivity of the reminder method is higher than that of the second adjustment strategy.

[0062] In the above embodiments, there are no restrictions on the method for determining the abnormality level corresponding to each abnormality type. For example, the DMS system monitors the driver's eye and facial features to identify driver distraction or fatigue, and determines the abnormality level of the driver's mental state abnormality based on the frequency of detected distraction or fatigue. If the eyes are closed for more than 1.5 seconds or the gaze is strayed for more than 2 seconds, the abnormality level is determined to be Level 1; if the eyes are closed for more than 5 seconds or the gaze is strayed for more than 6 seconds, the abnormality level is determined to be Level 2. For another example, if the hands-off duration detected by the HOD is less than 15 seconds, the abnormality level is determined to be Level 1; if the hands-off duration is greater than 15 seconds and less than 30 seconds, the abnormality level is determined to be Level 2; and if the hands-off duration is greater than 30 seconds, the abnormality level is determined to be Level 3. It should be noted that this is merely an example, and other methods for detecting distraction or fatigue, as well as other methods for detecting hands-off steering, and methods for determining levels are also included.

[0063] The following is an example of parameter adjustment for intelligent assisted driving with reference to the accompanying drawings.

[0064] In the following examples, the function of adaptively adjusting the parameters of intelligent assisted driving is enabled.

[0065] Example 1

[0066] like Figure 2 The figure shows an example of parameter adjustment for intelligent assisted driving triggered when the driver's mental state is abnormal.

[0067] When the abnormality level of the driver's mental state is level one, ADCU does not trigger the parameter adjustment of intelligent assisted driving and maintains the existing parameter configuration; when the abnormality level of the driver's mental state is level two, it triggers the parameter adjustment of intelligent assisted driving.

[0068] That is, ACC / LCC time adjustment: if it is currently at "3rd gear" or above, it will not be changed; if it is below "3rd gear", it will be adjusted to "3rd gear"; if it is not currently activated, it will not be changed;

[0069] CMSF function: If the current setting is "early" or "moderate", it will not be changed; if it is "late", it will be adjusted to "moderate";

[0070] LCA function: If the current setting is "light" or "sound", it will not be changed; if it is "off", it will be adjusted to "light";

[0071] LDP function: If it is currently "on", it will not be changed; if it is currently "off", it will be adjusted to "on";

[0072] LDW function: If it is currently "sound" or "vibration", it will not be changed; if it is "off", it will be adjusted to "vibration".

[0073] DHU will display the adjusted intelligent assisted driving parameters on the instrument panel, central large screen, etc.

[0074] Example 2

[0075] like Figure 3 The figure shows an example of parameter adjustment for intelligent assisted driving triggered by a hands-off steering anomaly.

[0076] When the ADCU's abnormality level for hands-off steering is level one, the parameter adjustment of intelligent assisted driving will not be triggered, and the existing parameter configuration can be maintained.

[0077] When the ADCU detects a hands-off steering wheel abnormality at level 2, the parameters for triggering intelligent assisted driving are adjusted as follows:

[0078] ACC / LCC time interval adjustment: if the current setting is "3rd gear" or above, it will not be changed; if the current setting is below "3rd gear", it will be adjusted to "3rd gear";

[0079] CMSF function: If the current setting is "early" or "moderate", it will not be changed; if it is "late", it will be adjusted to "moderate";

[0080] LCA function: If the current setting is "light" or "sound", it will not change; if it is "off",

[0081] Then adjust to "Light";

[0082] LDP function: If it is currently "on", it will not be changed; if it is currently "off", it will be adjusted to "on";

[0083] LDW function: If the current setting is "sound" or "vibration", it will not change; if it is "off",

[0084] Then adjust to "vibration";

[0085] RCW function: If it is currently "open", it will not be changed; if it is "closed", it will be adjusted to "open".

[0086] When the ADCU detects a hands-off steering wheel abnormality at level three, in addition to triggering adaptive adjustment of intelligent assisted driving parameters, it also triggers a safe parking alarm. The parameters that trigger intelligent assisted driving are adjusted as follows:

[0087] ACC / LCC time adjustment: If the current gear is the highest gear "5th gear", it will not be changed; if it is below "5th gear", it will be adjusted to "5th gear";

[0088] CMSF function: If the current time is "early", it will not be changed; if it is "late" or "moderate", it will be adjusted to "early";

[0089] LCA function: If the current setting is "sound", it will not change; if it is "off" or "light",

[0090] Then adjust to "sound";

[0091] LDP function: If it is currently "on", it will not be changed; if it is currently "off", it will be adjusted to "on";

[0092] LDW function: If the current setting is "sound" or "vibration", it will not change; if it is "off",

[0093] Then adjust to "vibration";

[0094] RCW function: If it is currently "open", it will not be changed; if it is "closed", it will be adjusted to "open".

[0095] DHU will display the adjusted intelligent assisted driving parameters on the instrument panel, central large screen, etc.

[0096] Example 3

[0097] like Figure 4 The figure shows an example of parameter adjustment for intelligent assisted driving that is triggered when there is only an abnormality in which the driver leaves the seat.

[0098] After the seat detection alarm is triggered, the ADCU determines that there is an abnormal driver leaving the seat, and the parameters for triggering intelligent assisted driving are adjusted as follows:

[0099] ACC / LCC time adjustment: if the current gear is the highest gear "5th gear", it will not be changed; if it is below "5th gear", it will be adjusted to "5th gear"; if it is not currently activated, it will not be changed;

[0100] CMSF function: If the current time is "early", it will not be changed; if it is "late" or "moderate", it will be adjusted to "early";

[0101] LCA function: If the current setting is "sound", it will not change; if it is "off" or "display",

[0102] Then adjust to "sound";

[0103] LDP function: If it is currently "on", it will not be changed; if it is currently "off", it will be adjusted to "on";

[0104] LDW function: If the current setting is "sound" or "vibration", it will not change; if it is "off",

[0105] Then adjust to "vibration";

[0106] RCW function: If it is currently "open", it will not be changed; if it is "closed", it will be adjusted to "open".

[0107] DHU will display the adjusted intelligent assisted driving parameters on the instrument panel, central large screen, etc.

[0108] Example 4

[0109] like Figure 5 The figure shows an example of parameter adjustment for intelligent assisted driving that is triggered when both abnormality level 1 of mental state abnormality and abnormality level 1 of hands-off steering exist.

[0110] The parameters for the ADCU to trigger adaptive adjustment of intelligent assisted driving are as follows:

[0111] ACC\LCC time interval adjustment: if the current time interval is "3rd gear" or above, it will not be changed; if the current time interval is below "3rd gear", it will be adjusted to "3rd gear";

[0112] CMSF function: If the current setting is "early" or "moderate", it will not be changed; if it is "late", it will be adjusted to "moderate";

[0113] LCA function: If the current setting is "light" or "sound", it will not change; if it is "off",

[0114] Then adjust to "Light";

[0115] LDP function: If it is currently "on", it will not be changed; if it is currently "off", it will be adjusted to "on";

[0116] LDW function: If the current setting is "sound" or "vibration", it will not change; if it is "off",

[0117] Then adjust to "vibration";

[0118] RCW function: If it is currently "open", it will not be changed; if it is "closed", it will be adjusted to "open".

[0119] DHU will display the adjusted intelligent assisted driving parameters on the instrument panel, central large screen, etc.

[0120] Example 5

[0121] like Figure 6 The figure shows an example of parameter adjustment for intelligent assisted driving triggered when both a level one abnormal mental state and a level two abnormal steering wheel release occur simultaneously.

[0122] The parameters for the ADCU to trigger adaptive adjustment of intelligent assisted driving are as follows:

[0123] ACC\LCC time interval adjustment: if it is currently at "3rd gear" or above, it will not be changed; if it is below "3rd gear", it will be adjusted to "3rd gear"; if it is not currently activated, it will not be changed;

[0124] CMSF function: If the current setting is "early" or "moderate", it will not be changed; if it is "late", it will be adjusted to "moderate";

[0125] LCA function: If the current setting is "light" or "sound", it will not change; if it is "off",

[0126] Then adjust to "Light";

[0127] LDP function: If it is currently "on", it will not be changed; if it is currently "off", it will be adjusted to "on";

[0128] LDW function: If it is currently "sound" or "vibration", it will not be changed; if it is "off", it will be adjusted to "vibration".

[0129] DHU will display the adjusted intelligent assisted driving parameters on the instrument panel, central large screen, etc.

[0130] Example 6

[0131] like Figure 7 The following example shows parameter adjustments for intelligent assisted driving when both a Level 1 abnormal mental state and a Level 3 hands-off steering anomaly are present. The same adjustment method is used for parameters in situations where both a Level 2 abnormal mental state and a Level 3 hands-off steering anomaly are present.

[0132] In addition to triggering the adaptive adjustment of intelligent assisted driving parameters, ADCU also triggers the safety parking alarm. The parameters that trigger the adaptive adjustment of intelligent assisted driving are as follows:

[0133] ACC\LCC time interval adjustment: if the current gear is the highest gear "5th", it will not be changed; if it is below "5th", it will be adjusted to "5th";

[0134] CMSF function: If the current time is "early", it will not be changed; if it is "late" or "moderate", it will be adjusted to "early";

[0135] LCA function: If the current setting is "sound", it will not change; if it is "off" or "light",

[0136] Then adjust to "sound";

[0137] LDP function: If it is currently "on", it will not be changed; if it is currently "off", it will be adjusted to "on";

[0138] LDW function: If the current setting is "sound" or "vibration", it will not change; if it is "off",

[0139] Then adjust to "vibration";

[0140] RCW function: If it is currently "open", it will not be changed; if it is "closed", it will be adjusted to "open".

[0141] DHU will display the adjusted intelligent assisted driving parameters on the instrument panel, central large screen, etc.

[0142] Example 7

[0143] An example of parameter adjustment for intelligent assisted driving triggered when both a level 2 abnormal mental state and a level 1 abnormal steering wheel release occur simultaneously. The adjustment method for this example is the same as that for Example 5.

[0144] The parameters for the ADCU to trigger adaptive adjustment of intelligent assisted driving are as follows:

[0145] ACC\LCC time interval adjustment: if the current time interval is "3rd gear" or above, it will not be changed; if the current time interval is below "3rd gear", it will be adjusted to "3rd gear";

[0146] CMSF function: If the current setting is "early" or "moderate", it will not be changed; if it is "late", it will be adjusted to "moderate";

[0147] LCA function: If the current setting is "light" or "sound", it will not change; if it is "off",

[0148] Then adjust to "Light";

[0149] LDP function: If it is currently "on", it will not be changed; if it is currently "off", it will be adjusted to "on";

[0150] LDW function: If the current setting is "sound" or "vibration", it will not change; if it is "off",

[0151] Then adjust to "vibration";

[0152] RCW function: If it is currently "open", it will not be changed; if it is "closed", it will be adjusted to "open".

[0153] DHU will display the adjusted intelligent assisted driving parameters on the instrument panel, central large screen, etc.

[0154] Example 8

[0155] An example of parameter adjustment for intelligent assisted driving triggered when both a level 2 abnormal mental state and a level 2 abnormal steering wheel release occur simultaneously. The adjustment method for this example is the same as that for Example 6.

[0156] The parameters for the ADCU to trigger adaptive adjustment of intelligent assisted driving are as follows:

[0157] ACC\LCC time interval adjustment: if the current gear is the highest gear "5th", it will not be changed; if it is below "5th", it will be adjusted to "5th";

[0158] CMSF function: If the current time is "early", it will not be changed; if it is "late" or "moderate", it will be adjusted to "early";

[0159] LCA function: If the current setting is "sound", it will not change; if it is "off" or "light",

[0160] Then adjust to "sound";

[0161] LDP function: If it is currently "on", it will not be changed;

[0162] LDW function: If the current setting is "sound" or "vibration", it will not change; if it is "off",

[0163] Then adjust to "vibration";

[0164] RCW function: If it is currently "open", it will not be changed; if it is "closed", it will be adjusted to "open".

[0165] DHU will display the adjusted intelligent assisted driving parameters on the instrument panel, central large screen, etc.

[0166] Example 9

[0167] like Figure 8 The following example shows parameter adjustments for Intelligent Driving Assistance when both a Level 1 or 2 Mental State Abnormality and a Driver Leaving the Seat Abnormality are present. The same adjustment method is used for triggering Intelligent Driving Assistance when both a Level 1, 2, or 3 Hands-Off Steering Abnormality and a Driver Leaving the Seat Abnormality are present.

[0168] The parameters for the ADCU to trigger adaptive adjustment of intelligent assisted driving are as follows:

[0169] ACC\LCC time adjustment: if the current gear is the highest gear "5th", it will not be changed; if it is below "5th", it will be adjusted to "5th"; if it is not currently activated, it will not be changed;

[0170] CMSF function: If the current time is "early", it will not be changed; if it is "late" or "moderate", it will be adjusted to "early";

[0171] LCA function: If the current setting is "sound", it will not change; if it is "off" or "light",

[0172] Then adjust to "sound";

[0173] LDP function: If it is currently "on", it will not be changed;

[0174] LDW function: If the current setting is "sound" or "vibration", it will not change; if it is "off",

[0175] Then adjust to "vibration";

[0176] RCW function: If it is currently "open", it will not be changed; if it is "closed", it will be adjusted to "open".

[0177] DHU will display the adjusted intelligent assisted driving parameters on the instrument panel, central large screen, etc.

[0178] Example 10

[0179] like Figure 9 The figure shows an example of parameter adjustment for intelligent assisted driving triggered by the simultaneous presence of a level one or two abnormal mental state, a level one, two or three abnormal steering wheel release, and an abnormal driver leaving the seat.

[0180] The parameters for the ADCU to trigger adaptive adjustment of intelligent assisted driving are as follows:

[0181] ACC\LCC time interval adjustment: if the current gear is the highest gear "5th", it will not be changed; if it is below "5th", it will be adjusted to "5th";

[0182] CMSF function: If the current time is "early", it will not be changed; if it is "late" or "moderate", it will be adjusted to "early";

[0183] LCA function: If the current setting is "sound", it will not change; if it is "off" or "light",

[0184] Then adjust to "sound";

[0185] LDP function: If it is currently "on", it will not be changed;

[0186] LDW function: If the current setting is "sound" or "vibration", it will not change; if it is "off",

[0187] Then adjust to "vibration";

[0188] RCW function: If it is currently "open", it will not be changed; if it is "closed", it will be adjusted to "open".

[0189] DHU will display the adjusted intelligent assisted driving parameters on the instrument panel, central large screen, etc.

[0190] In the above examples, DMS is used in the relevant drawings to indicate abnormal mental state of the driver, HOD is used to indicate abnormal hands-off steering, and seat detection is used to indicate abnormal driver leaving the seat.

[0191] The embodiments provided by the present disclosure obtain the driver's driving state abnormality and adjust at least one parameter of the intelligent assisted driving, such as the time interval, emergency response sensitivity and reminder method, according to the abnormality type included in the driving state abnormality. In this way, the parameters of the intelligent assisted driving can be adaptively adjusted according to the driving state abnormality identified in real time, so that the adjusted intelligent assisted driving parameters can adapt to the current driving state abnormality, thereby providing protection for driving safety and comfort.

[0192] It is understood that the above-mentioned various method embodiments mentioned in this disclosure can be combined with each other to form combined embodiments without violating the principle logic. Due to space limitations, this disclosure will not go into details. It is understood by those skilled in the art that in the above-mentioned methods of specific implementation, the specific execution order of each step should be determined by its function and possible internal logic, and the execution order between steps is not limited to being implemented according to the step number.

[0193] Exemplary devices

[0194] The present disclosure provides a parameter adjustment device for intelligent assisted driving, which mainly includes:

[0195] an acquisition module, configured to acquire an abnormal driving state of the driver, wherein the abnormal driving state includes at least one abnormal type of abnormality selected from the group consisting of hands-off steering, abnormal driver mental state, and abnormal driver leaving seat;

[0196] An adjustment module is configured to adjust parameters of intelligent assisted driving according to the abnormal driving state; wherein the parameters include at least one of time interval, emergency response sensitivity, and reminder mode.

[0197] The specific implementation of the device can be found in the relevant description in the method embodiment section, which will not be repeated here.

[0198] Exemplary electronic devices

[0199] Figure 10 A block diagram of an electronic device provided in an embodiment of the present disclosure.

[0200] Reference Figure 10 An embodiment of the present disclosure provides an electronic device, which includes: at least one processor 401; at least one memory 402, and one or more I / O interfaces 403, connected between the processor 401 and the memory 402; wherein the memory 402 stores one or more computer programs that can be executed by the at least one processor 401, and the one or more computer programs are executed by the at least one processor 401 to enable the at least one processor 401 to execute the above-mentioned parameter adjustment method for intelligent assisted driving.

[0201] Each module in the above-mentioned electronic device can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each of the above modules.

[0202] Exemplary computer program products and computer-readable storage media

[0203] The embodiments of the present disclosure also provide a computer program product, including a computer program, which implements the above-mentioned parameter adjustment method for intelligent assisted driving when executed in a processor.

[0204] The computer program may be stored in a readable storage medium of a computer device or in the cloud; the processor of the computer device reads the computer program from the readable storage medium or the cloud.

[0205] The computer program product may be implemented in hardware, software, or a combination thereof. In one embodiment, the computer program product is implemented as a computer storage medium. In another embodiment, the computer program product is implemented as a software product, such as a software development kit (SDK).

[0206] It will be understood by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In a hardware implementation, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable storage medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or transient medium).

[0207] As is well known to those skilled in the art, the term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information (such as computer-readable program instructions, data structures, program modules or other data). Computer storage media includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), static random access memory (SRAM), flash memory or other memory technology, portable compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical disc storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, as is well known to those skilled in the art, communication media typically contains computer-readable program instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0208] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions to be stored in the computer-readable storage medium in each computing / processing device.

[0209] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, and conventional procedural programming languages ​​such as "C" language or similar programming languages. Computer-readable program instructions may be executed entirely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., utilizing an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be personalized by utilizing the state information of the computer-readable program instructions. The electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0210] The computer program product described herein may be implemented in hardware, software, or a combination thereof. In one embodiment, the computer program product is implemented as a computer storage medium. In another embodiment, the computer program product is implemented as a software product, such as a software development kit (SDK).

[0211] Various aspects of the present disclosure are described herein with reference to flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each block of the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts and / or block diagrams, can be implemented by computer-readable program instructions.

[0212] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device is generated that implements the functions / actions specified in one or more blocks in the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium, where these instructions cause the computer, programmable data processing device, and / or other device to operate in a specific manner. Thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing various aspects of the functions / actions specified in one or more blocks in the flowchart and / or block diagram.

[0213] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more blocks in the flowchart and / or block diagram.

[0214] The flow charts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and the part of the module, program segment or instruction contains one or more executable instructions for realizing the prescribed logical function. In some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the prescribed function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0215] The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. Any modifications, equivalent substitutions, etc. made within the spirit and principles of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A parameter adjustment method for intelligent assisted driving, characterized in that: include: Acquiring an abnormal driving state of the driver, wherein the abnormal driving state includes at least one abnormal type of abnormality selected from the group consisting of hands-off steering, abnormal driver mental state, and abnormal driver leaving the seat; According to the abnormal driving state, the parameters of the intelligent assisted driving are adjusted; wherein the parameters include at least one of the time interval, the sensitivity of the emergency response and the reminder method.

2. The method according to claim 1, characterized in that The adjusting the parameters of the intelligent assisted driving according to the abnormal driving state includes: When the abnormal driving state includes an abnormal driver leaving the seat, adjusting the parameters of the intelligent assisted driving according to a first adjustment strategy; Among them, the first adjustment strategy is that the time interval indicated by the parameters after adjustment is the largest, the sensitivity of the emergency response is the highest, and the sensitivity of the reminder method is the highest.

3. The method according to claim 1, characterized in that The adjusting the parameters of the intelligent assisted driving according to the abnormal driving state includes: When the abnormal driving state includes an abnormal hand-off of the steering wheel or an abnormal mental state of the driver, determining an abnormality level of the abnormality type; When the abnormality level of the abnormality type is higher than a preset level, obtaining a target adjustment strategy corresponding to the abnormality level of the abnormality type; Adjusting the parameters of the intelligent assisted driving according to the target adjustment strategy; Among them, the higher the abnormality level, the longer the time interval indicated by the parameter after the corresponding target adjustment strategy is adjusted, the higher the sensitivity of the emergency response, and the more sensitive the reminder method.

4. The method according to claim 3, characterized in that The preset level is level one; When the driving state abnormality is an abnormal mental state of the driver or an abnormality of taking the steering wheel off, and the abnormality level is level 2, the target adjustment strategy is the second adjustment strategy; when the duration of the abnormal mental state of the driver is greater than the first duration threshold and less than the second duration threshold, the corresponding abnormality level is level 2, and the first duration threshold is less than the second duration threshold; When the duration of the hands-off steering wheel anomaly is greater than the third duration threshold and less than the fourth duration threshold, the corresponding anomaly level is level 2, and the third duration threshold is less than the fourth duration threshold; When the driving state abnormality is a hands-off steering wheel abnormality and the abnormality level is level three, the target adjustment strategy is the first adjustment strategy; when the duration of the hands-off steering wheel abnormality is greater than or equal to the fourth duration threshold, the corresponding abnormality level is level three; Among them, the time interval indicated by the first adjustment strategy is greater than that of the second adjustment strategy, the sensitivity of the emergency response indicated by the first adjustment strategy is higher than that of the second adjustment strategy, and the sensitivity of the reminder method indicated by the first adjustment strategy is higher than that of the second adjustment strategy.

5. The method according to claim 1, wherein The adjusting the parameters of the intelligent assisted driving according to the abnormal driving state includes: When the abnormal driving state includes an abnormal steering wheel release and an abnormal driver mental state, the abnormality level of each abnormality type is obtained respectively, and the parameters of the intelligent assisted driving are adjusted according to the abnormality level of each abnormality type.

6. The method according to claim 5, characterized in that The adjusting the parameters of the intelligent assisted driving according to the abnormality level of each abnormality type includes: When the abnormality level of the hands-off steering wheel abnormality is level one or level two, and the abnormality level of the driver's mental state abnormality is level one, or when the abnormality level of the hands-off steering wheel abnormality is level one and the abnormality level of the driver's mental state abnormality is level two, the parameters of the intelligent assisted driving are adjusted according to the second adjustment strategy; when the duration of the hands-off steering wheel abnormality is less than or equal to the third duration threshold, the corresponding abnormality level is level one; when the duration of the hands-off steering wheel abnormality is greater than the third duration threshold and less than the fourth duration threshold, the corresponding abnormality level is level two; the third duration threshold is less than the fourth duration threshold; when the duration of the driver's mental state abnormality is less than or equal to the first duration threshold, the corresponding abnormality level is level one; when the duration of the driver's mental state abnormality is greater than the first duration threshold and less than the second duration threshold, the corresponding abnormality level is level two, and the first duration threshold is less than the second duration threshold; When the abnormality level of the hands-off steering wheel abnormality is level 2 and the abnormality level of the abnormal mental state of the driver is level 2, or when the abnormality level of the hands-off steering wheel abnormality is level 3 and the abnormality level of the abnormal mental state of the driver is level 1 or level 2, the parameters of the intelligent assisted driving are adjusted according to the first adjustment strategy; when the duration of the hands-off steering wheel abnormality is greater than or equal to the fourth duration threshold, the corresponding abnormality level is level 3; Among them, the time interval indicated by the adjusted parameters of the first adjustment strategy is greater than that of the second adjustment strategy, the sensitivity of the emergency response is higher than that of the second adjustment strategy, and the sensitivity of the reminder method is higher than that of the second adjustment strategy.

7. The method according to claim 2, 4 or 6, characterized in that The first adjustment strategy includes at least one of the following: Adjust the adaptive cruise control to the highest setting. Adjust the sensitivity of the front collision mitigation CMSF function to be earlier; Adjust the reminder mode of the lane change assist LCA function to sound reminder; Adjust the Lane Departure Prevention (LDP) function to On; Adjust the lane departure warning (LDW) function's reminder mode to vibration warning; After adjustment, the collision warning RCW function is turned on.

8. The method according to claim 4 or 6, wherein the second adjustment strategy comprises at least one of the following: Adjust the adaptive cruise control headway to a level not lower than the target gear, which is lower than the highest gear. The lower the gear, the shorter the headway. Adjust the sensitivity of the front collision mitigation CMSF function to moderate; Adjust the lane change assist (LCA) function's reminder mode to either light or sound reminder; Adjust the Lane Departure Prevention (LDP) function to On; Adjust the lane departure warning (LDW) function's reminder mode to vibration warning; After adjustment, the collision warning RCW function is turned on.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores at least one computer program that can be executed by the at least one processor, and the at least one computer program is executed by the at least one processor so that the at least one processor can execute the parameter adjustment method for intelligent assisted driving as described in any one of claims 1-8.

10. A computer program product, characterized in that The computer program product includes a computer program, which implements the parameter adjustment method for intelligent assisted driving according to any one of claims 1 to 8 when executed in a processor.

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