Intelligent driving mode switching method and system, and readable storage medium

Abstract

The present application relates to the technical field of automatic driving, in particular to a kind of intelligent driving mode switching method, system and readable storage medium, the problem solved by the present application: the problem that automatic driving mode is not requested driver and forcibly takes over, to solve the above problems, the present application embodiment provides a kind of intelligent driving mode switching method, switching method includes: monitoring the emotional state of driver, obtains emotional detection result;Detect road traffic environment, obtain environmental risk detection result;The road of travel is combined with the time period of current travel and is analyzed, obtains accident probability analysis result;According to emotional detection result, environmental risk detection result and accident probability analysis result, judge whether the vehicle needs to be switched to intelligent driving mode;In the case where it needs to change to intelligent driving mode, output the inquiry message for mode switching;Wherein, the time period of current travel is the time of travel is located in the specific time of day.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automatic driving, in particular to an intelligent driving mode switching method, system and readable storage medium. BACKGROUND

[0002] Generally, the mood of the driver will have a great influence on driving safety, and if the traffic accidents caused by the bad mood of the driver are reduced, it is also a problem to be solved in the field of intelligent vehicle technology, especially in combination with intelligent driving technology, which can bring many positive effects, in the related technology, the automatic driving switching forcibly takes over without the request of the driver, greatly reduces the driving experience, and easily causes the feeling of abruptness, and the current driving environment is not considered, which easily causes unnecessary forced takeover. SUMMARY

[0003] The problem solved by the present application is that the automatic driving mode forcibly takes over without the request of the driver.

[0004] To solve the above problems, an intelligent driving mode switching method is provided, the switching method comprising: monitoring the emotional state of the driver to obtain an emotional detection result; detecting the road driving environment to obtain an environmental risk detection result; analyzing the driving road in combination with the current driving time period to obtain an accident probability analysis result; judging whether the vehicle needs to be switched to the intelligent driving mode according to the emotional detection result, the environmental risk detection result and the accident probability analysis result; in the case of needing to switch to the intelligent driving mode, outputting an inquiry message for mode switching; wherein the current driving time period is the time of driving at a specific time of day.

[0005] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: through the preliminary judgment of the emotional state of the driver and the safety of driving in the driving environment, the accident probability analysis combines the switching method with big data, further increases the accuracy of safety judgment, reduces the probability of misjudgment, and the setting of the inquiry message increases the function of human-computer interaction for the switching method, improves the driving safety and the driving interactive experience, and avoids the occurrence of forced takeover.

[0006] In an embodiment of the present application, monitoring the emotional state of the driver to obtain an emotional detection result comprises:

[0007] identifying the facial expression of the driver, and obtaining the emotional detection result according to the facial expression; and / or identifying the body movement of the driver, and obtaining the emotional detection result according to the body movement; and / or identifying the speech of the driver, and obtaining the emotional detection result according to the speech.

[0008] Compared with the prior art, the technical effects achieved by the technical scheme are as follows: the detection result is obtained through three different ways of facial expression, body movement and speech, and the emotional state of the driver is obtained by combining the detection results of the three different ways, so that the emotional state is more in line with the actual emotion of the driver, and the occurrence of misjudgment in the subsequent steps is reduced.

[0009] In an embodiment of the present application, the road driving environment is detected to obtain an environmental risk detection result, including: detecting the traffic flow speed on the road to obtain traffic flow speed information; detecting the traffic flow on the road to obtain traffic flow information; and obtaining the environmental risk detection result according to the traffic flow speed information and the traffic flow information.

[0010] Compared with the prior art, the technical effects achieved by the technical scheme are as follows: the environmental risk detection result is more accurate by detecting the traffic flow speed and the traffic flow, and the switching method can be combined with the external environment when performing switching determination, thereby increasing the accuracy of switching determination and avoiding the occurrence of mis-switching.

[0011] In an embodiment of the present application, the driving road is combined with the current driving time period to analyze to obtain an accident probability analysis result, including: identifying the road currently driven by the vehicle; obtaining the current time and the number of accidents occurring when the vehicle drives on the road at the current time point; and obtaining the accident probability analysis result according to the number of accidents.

[0012] Compared with the prior art, the technical effects achieved by the technical scheme are as follows: the occurrence probability of the accident is judged by detecting the current driving section and time point and combining the previous accidents, so that the switching method is combined with big data, and the accuracy of accident judgment is improved.

[0013] In one embodiment of the present application, according to the emotion detection result, the environmental risk detection result and the accident probability analysis result, it is judged whether the vehicle needs to be switched to the intelligent driving mode, comprising: according to the emotion detection result, the current emotion category of the driver is determined in a plurality of emotion categories; according to the environmental risk detection result, the current environmental risk level of the vehicle is determined in a plurality of environmental risk levels; according to the accident probability analysis result, the current accident probability level of the vehicle is determined in a plurality of accident probability levels; according to the current emotion category, the current environmental risk level and the current accident probability level, it is judged whether the vehicle needs to be switched to the intelligent driving mode; the plurality of emotion categories include: normal emotion, happy emotion, depressed emotion, irritable emotion and angry emotion; the plurality of environmental risk levels include: a first environmental risk level and a second environmental risk level, wherein the environmental risk degree of the first environmental risk level is less than that of the second environmental risk level; the plurality of accident probability levels include: a first accident probability level and a second accident probability level, wherein the accident probability of the first accident probability level is less than that of the second accident probability level.

[0014] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: through the combined analysis of the emotion detection result, the environmental risk detection result and the accident probability analysis result, it is judged whether the driver needs to be asked to switch to the intelligent driving mode, the dynamic driving factors are fully considered, unnecessary triggering of the function is avoided as much as possible, the number of false alarms is reduced, and the user experience is improved.

[0015] In one embodiment of the present application, according to the current emotion category, the current environmental risk level and the current accident probability level, it is judged whether the vehicle needs to be switched to the intelligent driving mode, comprising: in the case that the current emotion category is normal emotion or happy emotion, the vehicle does not need to be switched to the intelligent driving mode; and / or in the case that the current emotion category is angry emotion, the vehicle needs to be switched to the intelligent driving mode; and / or in the case that the current emotion category is depressed emotion or irritable emotion, it is judged whether to switch to the intelligent driving mode according to the current environmental risk level and the current accident probability level.

[0016] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: through the division of the environmental risk level and the accident probability level, many situations in reality are reasonably classified, the judgment of the system is facilitated, the dynamic driving factors and the emotional state of the driver are combined, and the switching of the intelligent driving mode has more reference data.

[0017] In one embodiment of the present application, after outputting the inquiry message for mode switching, the switching method further comprises: receiving the instruction issued by the driver; and controlling the vehicle to run in the specified mode according to the received instruction.

[0018] Compared with the prior art, the technical effects achieved by the technical scheme are that the setting of inquiring the driver's message enables the driver to make autonomous judgment according to the driving environment, avoids the phenomenon of forced takeover due to system judgment error, and improves the use experience of the driver.

[0019] In an embodiment of the present application, the vehicle is controlled to operate in a specified mode in response to the driver's instruction, including: in the case of the instruction being a refusal to switch mode instruction, the vehicle continues to operate in the manual driving mode; and / or in the case of the instruction being a receipt of the switch mode, the vehicle is switched to the intelligent driving mode; and / or when the vehicle is switched to the intelligent driving mode, the emotion detection result, the environmental risk detection result and the accident probability analysis result are continuously monitored to determine whether the vehicle needs to be switched to the manual mode.

[0020] Compared with the prior art, the technical effects achieved by the technical scheme are that the driver is monitored in real time in the intelligent driving mode, the driver's satisfaction with the manual driving state can be quickly judged, and the driving right is switched to the manual driving mode.

[0021] In an embodiment of the present application, a switching system for an intelligent driving mode is also provided, the switching system comprising a processor, a memory and a program or instruction stored in the memory and executable on the processor, the program or instruction being executed by the processor to implement the steps of the switching method described above.

[0022] In an embodiment of the present application, a readable storage medium is also provided, the readable storage medium storing a program or instruction, the program or instruction being executed by the processor to implement the steps of the switching method in the above-described embodiment. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 The switching method flowchart of the present application.

[0024] Figure 2 The system diagram of the switching system of the present application.

[0025] REFERENCE SIGNS:

[0026] 100 - switching system; 120 - memory; 130 - processor. DETAILED DESCRIPTION

[0027] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings.

[0028] FIRST EMBODIMENT

[0029] Reference is made to Figure 1 In a specific embodiment, a switching method for an intelligent driving mode is provided, the switching method comprising:

[0030] S100, monitoring the driver's emotional state and obtaining an emotion detection result;

[0031] S200: Detect the road driving environment and obtain environmental risk detection results;

[0032] S300: Analyze the driving route in combination with the current driving time period to obtain an accident probability analysis result;

[0033] S400: Determine whether to switch the vehicle to the intelligent driving mode based on the emotion detection result, the environmental risk detection result, and the accident probability analysis result.

[0034] S500: If it is necessary to switch to the intelligent driving mode, output a query message regarding the mode switching;

[0035] The current driving time period is a specific time of the day during which the driving time occurs.

[0036] Furthermore, in step S100, during the driving process of the vehicle, the driver's emotional state is monitored to obtain corresponding data, and the driver's emotions are judged based on the data. The monitored data includes but is not limited to facial expressions, body movements, speech, etc.;

[0037] Furthermore, in step S200, the driving environment is detected to obtain corresponding data. The detected road driving environment data includes but is not limited to the width of the road, the number of passable lanes, the number of vehicles traveling around, and the speed of the surrounding vehicles;

[0038] Furthermore, in step S300, the specific road on which the vehicle is traveling is obtained, and the number of accidents occurring on the road is obtained based on big data, and the number of accidents occurring at the time point corresponding to the current driving time is filtered out. The greater the number, the greater the risk. The time point is a specific time of the day, for example: 8 a.m., 2 p.m.

[0039] Furthermore, in step S400, the driver's emotional state, the risk level of the driving environment and the probability of an accident occurring on the current road section at the current time are combined for determination, with the driver's emotional state being the main factor in the determination.

[0040] Furthermore, in step S500, when the risk factor is high, the driver is reminded to switch modes through voice prompts, and the driver can independently choose to switch to the intelligent driving mode or continue to drive manually.

[0041] The accident probability analysis makes the switching method combined with big data, further increases the accuracy of safety judgment, reduces the probability of misjudgment, and sets the inquiry message to increase the human-computer interaction function of the switching method, improves the driving safety and the driving interactive experience, and avoids the occurrence of forced takeover.

[0042] [Second embodiment]

[0043] In one specific embodiment, the driver's emotional state is monitored to obtain an emotional detection result, including:

[0044] S110, recognizing the facial expression of the driver, and obtaining an emotional detection result according to the facial expression; and / or;

[0045] S120, recognizing the body movement of the driver, and obtaining an emotional detection result according to the body movement; and / or;

[0046] S130, recognizing the speech of the driver, and obtaining an emotional detection result according to the speech.

[0047] Further, in step S110, the driving emotion of the driver is judged by the facial expression of the driver, for example: when the driver's mouth is up and the expression is relaxed and natural, the emotional state is good, when the driver's facial muscles are tight, the mouth is drooping, and the eyebrows are tight, the emotional state is poor;

[0048] Further, in step S120, the emotion of the driver is judged by recognizing the body movement of the driver, for example: the speed of turning the steering wheel when turning, the grip force of holding the steering wheel, the pushing force when pushing the gear lever, and the interval frequency of pressing the horn.

[0049] Further, in step S130, the emotion of the driver is judged by the speech of the driver, and the system is provided with a language recognition module for recognizing the meaning expressed by the language of the driver, and can detect the size of the decibel when the driver speaks and the speed of the speech.

[0050] Preferably, monitoring the emotional state of the driver includes but is not limited to facial expression, body movement and speech, heart rate, and real-time change of blood oxygen saturation information, which can also be used as a basis for judging the driver's emotion.

[0051] The detection results are obtained by detecting the facial expression, body movement and speech in three different ways, and the detection results of the three different ways are combined to obtain the emotional state of the driver, so that the obtained emotional state is more in line with the actual emotion of the driver, and the occurrence of misjudgment in the subsequent steps is reduced.

[0052] [Third embodiment]

[0053] In one specific embodiment, the road driving environment is detected, and an environmental risk detection result is obtained, including:

[0054] S210, detecting the traffic flow speed on the road to obtain traffic flow speed information;

[0055] S220, detecting the traffic flow on the road to obtain traffic flow information;

[0056] S230, obtaining an environmental risk detection result according to the traffic flow speed information and the traffic flow information.

[0057] Further, in step S210, the driving speed of the vehicle on the road is detected, and the driving speed detection includes but is not limited to the detection of the driving speed of the vehicle on the adjacent lane, the detection of the driving speed of the rear vehicle, the detection of the driving speed of the front vehicle, and the acquisition of the traffic flow speed information according to the detection result.

[0058] Further, in step S220, the traffic flow on the road is detected, and the traffic flow detection includes but is not limited to the detection of the number of vehicles in front, the detection of the number of vehicles behind, the detection of the number of vehicles overtaking after the target driving distance, the detection of the number of vehicles overtaking the own vehicle after the target driving distance, etc., and the traffic flow information is acquired according to the detection result, wherein the target distance can be changed according to the specific road, and the adjacent two traffic light openings are taken as the limit, when the adjacent traffic light openings are far away, the target distance can be 500-1000 meters, and when the adjacent traffic light openings are close, the target distance can be 100-200 meters.

[0059] Further, in step S230, the traffic flow speed information and the traffic flow information are used to obtain the environmental risk result, when the traffic flow speed is fast and the traffic flow is large, the environmental risk is high, when the traffic flow speed is slow and the traffic flow is small, the environmental risk is low, and the fast traffic flow speed is usually matched with the speed limit of the driving road, for example: the road speed limit is 80KM / h, when the speed of the surrounding vehicle is higher than 64KM / h, it is defined as fast traffic flow speed, otherwise it is defined as slow traffic flow speed.

[0060] By detecting the traffic flow speed and the traffic flow, the environmental risk detection result is more accurate, the switching method can be combined with the external environment when switching is determined, the accuracy of switching determination is increased, and the occurrence of false switching is avoided.

[0061]

Fourth embodiment

[0062] In one specific embodiment, the driving road is combined with the current driving time period to analyze and obtain an accident probability analysis result, including:

[0063] S310, identifying the road currently driven by the vehicle;

[0064] S320, acquire a current time, and acquire a number of accidents occurring when the vehicle is driving on the road at the current time point;

[0065] S330, obtain an accident probability analysis result according to the number of accidents.

[0066] Further, in step S310, it is accurately judged that the vehicle is driving on which road by observing the external environment and combining the high-definition map;

[0067] Further, in step S320, the accidents occurring on the road at the time point are retrieved from the database according to the specific time point;

[0068] Further, in step S330, the determination is made according to the number of accidents.

[0069] Preferably, when the number of accidents is large at the time point on the road section, the driver is informed of the current traffic condition through voice, reminding the driver to focus on driving or reduce the driving speed to avoid accidents.

[0070] The occurrence probability of the accident is judged by detecting the current driving road section and time point and combining the previous accidents, the switching method is combined with big data, and the accuracy of the accident judgment is improved.

[0071]

Fifth embodiment

[0072] In a specific embodiment, according to the emotion detection result, the environment risk detection result and the accident probability analysis result, it is judged whether the vehicle needs to be switched to the intelligent driving mode, comprising:

[0073] S410, according to the emotion detection result, determining the current emotion category of the driver in a plurality of emotion categories;

[0074] S420, according to the environment risk detection result, determining the current environment risk level of the vehicle in a plurality of environment risk levels;

[0075] S430, according to the accident probability analysis result, determining the current accident probability level of the vehicle in a plurality of accident probability levels;

[0076] S440, according to the current emotion category, the current environment risk level and the current accident probability level, judging whether the vehicle needs to be switched to the intelligent driving mode;

[0077] The plurality of emotion categories include: normal emotion, happy emotion, low emotion, irritable emotion and angry emotion;

[0078] The plurality of environmental risk levels include: a first environmental risk level and a second environmental risk level, wherein the environmental risk degree of the first environmental risk level is less than the environmental risk degree of the second environmental risk level;

[0079] The multiple accident probability levels include: a first accident probability level and a second accident probability level, wherein the accident probability of the first accident probability level is lower than the accident probability of the second accident probability level.

[0080] Furthermore, in step S410, the driver's current emotion category is determined by analyzing the driver's facial expressions, body movements and speech, and the emotion category is classified into normal emotion, happy emotion, depressed emotion, irritable emotion and angry emotion;

[0081] Furthermore, in step S420, the environmental risk level of the vehicle is determined based on the traffic volume and traffic speed;

[0082] Furthermore, in step S430, the probability of an accident occurring on the current road at the current time point is analyzed to determine the accident probability level.

[0083] Furthermore, in step S440, it is determined whether the vehicle needs to switch to driving mode based on the current emotion category, environmental risk level and accident probability level.

[0084] By combining the results of emotion detection, environmental risk detection and accident probability analysis, we determine whether it is necessary to ask the driver to switch to intelligent driving mode. This fully considers dynamic driving factors, tries to avoid unnecessary triggering of this function, reduces the number of false reminders, and improves the user experience.

[0085] [Sixth embodiment]

[0086] In a specific embodiment, determining whether to switch the vehicle to the intelligent driving mode based on the current emotion category, the current environmental risk level, and the current accident probability level includes:

[0087] S441. If the current emotion category is normal or happy, there is no need to switch the vehicle to the intelligent driving mode; and / or

[0088] S442: When the current emotion category is anger, the vehicle needs to be switched to the intelligent driving mode; and / or

[0089] S443. When the current emotion category is depressed or irritable, determine whether to switch to the intelligent driving mode based on the current environmental risk level and the current accident probability level.

[0090] In step S441, when the system judges that the driver is normal or happy, it is judged that there is no need to switch to the intelligent driving mode, regardless of whether the environmental risk level is the first environmental risk level or the second environmental risk level, and whether the accident probability level is the first accident probability level or the second accident probability level.

[0091] In step S442, when the system judges that the driver's emotion is angry, it is judged that there is a need to switch to the intelligent driving mode, regardless of whether the environmental risk level is the first environmental risk level or the second environmental risk level, and whether the accident probability level is the first accident probability level or the second accident probability level.

[0092] In step S443, when the system judges that the driver's emotion is depressed, if the driving risk level is the first environmental risk level, it is judged that there is no need to switch to the intelligent driving mode, regardless of whether the accident probability level is the first accident probability level or the second accident probability level.

[0093] If the driving risk level is the second environmental risk level, when the accident probability level is the second accident probability level, it is judged that there is a need to switch to the intelligent driving mode, and when the accident probability level is the first accident probability level, it is judged that there is no need to switch to the intelligent driving mode.

[0094] When the system judges that the driver's emotion is irritable, if the driving risk level is the first environmental risk level, it is judged that there is no need to switch to the intelligent driving mode, regardless of whether the accident probability level is the first accident probability level or the second accident probability level.

[0095] If the driving risk level is the second environmental risk level, it is judged that there is a need to switch to the intelligent driving mode, regardless of whether the accident probability level is the first accident probability level or the second accident probability level.

[0096] By dividing the environmental risk level and the accident probability level, many real situations are reasonably classified, which facilitates the judgment of the system, combines the dynamic driving factors and the emotional state of the driver, and makes the switching of the intelligent driving mode have more reference data.

[0097]

Seventh Embodiment

[0098] In a specific embodiment, after outputting the inquiry message for mode switching, the switching method further includes:

[0099] S510, receiving an instruction issued by the driver;

[0100] S520, controlling the vehicle to run in the specified mode according to the received instruction.

[0101] Further, in step S510, the driver hears the voice prompt and makes corresponding operation, which includes but is not limited to activating the intelligent driving mode, continuing the manual driving mode, etc.

[0102] Further, in step S520, the vehicle operates according to the instruction issued by the driver. When the driver issues an instruction to activate the intelligent driving mode, the driver's subsequent instructions to the vehicle are invalid, and the vehicle is controlled by the system until the intelligent driving mode is closed. When the driver issues an instruction to continue the manual driving mode, the vehicle continues to be controlled by the driver.

[0103] The setting of querying the driver for information enables the driver to make autonomous judgments according to the driving environment, avoids the phenomenon of forced takeover due to system judgment errors, and improves the user experience of the driver.

[0104]

Eighth Embodiment

[0105] In a specific embodiment, the vehicle is controlled to operate in a specified mode in response to the driver's instruction, which includes:

[0106] S521, in the case of an instruction to refuse to switch modes, the vehicle continues to operate in the manual driving mode; and / or

[0107] S522, in the case of an instruction to accept to switch modes, the vehicle is switched to the intelligent driving mode; and / or

[0108] S523, when the vehicle is switched to the intelligent driving mode, the emotion detection result, the environmental risk detection result and the accident probability analysis result are continuously monitored to determine whether the vehicle needs to be switched to the manual mode.

[0109] Further, in step S521, the driver issues an instruction to refuse to switch modes, and the vehicle continues to drive in the manual mode.

[0110] Further, in step S522, the driver issues an instruction to accept to switch modes, and the vehicle enters the intelligent driving mode.

[0111] Further, in step S523, when the vehicle enters the intelligent driving mode, the system still detects the emotional state of the driver in real time, and combines the current environmental risk level and the current accident probability level to determine whether the driver's state meets the state of the manual driving mode, and if so, the driver is prompted to switch the intelligent driving mode to the manual driving mode.

[0112] Preferably, when the driver does not issue an instruction after the voice prompt, the system will repeat the voice 2-3 times. If the driver still does not issue an instruction, the system will maintain the previous operation mode of the vehicle.

[0113] By monitoring the driver in real time in the intelligent driving mode, it can be quickly judged whether the driver meets the manual driving state, and the driving right is switched to the manual driving mode.

[0114]

Ninth Embodiment

[0115] Referring to Figure 2 In one specific embodiment, an intelligent driving mode switching system 100 is also provided, the switching system 100 comprising a processor 130, a memory 120, and a program or instruction stored on the memory 120 and executable on the processor 130, the program or instruction being executed by the processor 130 to implement the steps of the switching method described above.

[0116]

Tenth Embodiment

[0117] In one specific embodiment, a readable storage medium is also provided, the readable storage medium storing a program or instruction, the program or instruction being executed by the processor 130 to implement the steps of the switching method in the above embodiments.

[0118] Although the present application is disclosed as above, the present application is not limited thereto. Any person skilled in the art, without departing from the spirit and scope of the present application, can make various changes and modifications, therefore the protection scope of the present application should be subject to the scope defined by the claims.

Claims

1. A method for switching intelligent driving modes, characterized in that: The switching method includes: Monitor the driver's emotional state and obtain emotion detection results; Detect road driving environment and obtain environmental risk detection results; Analyze the driving route in combination with the current driving time period to obtain the accident probability analysis results; determining a current emotion category of the driver among a plurality of emotion categories according to the emotion detection result; determining a current environmental risk level of the vehicle among a plurality of environmental risk levels according to the environmental risk detection result; determining a current accident probability level of the vehicle among a plurality of accident probability levels according to the accident probability analysis result; When the current emotion category is normal or happy, there is no need to switch the vehicle to the smart driving mode; and / or When the current emotion category is anger, the vehicle needs to be switched to the intelligent driving mode; and / or When the current emotion category is depressed or irritable, determining whether to switch to the intelligent driving mode according to the current environmental risk level and the current accident probability level; When it is necessary to switch to the intelligent driving mode, outputting an inquiry message for mode switching; The current driving time period is a specific time of the day during which the driving time occurs.

2. The intelligent driving mode switching method according to claim 1, characterized in that: The monitoring of the driver's emotional state and obtaining the emotion detection result includes: Recognizing the driver's facial expression and obtaining the emotion detection result according to the facial expression; and / or; identifying the driver's body movements and obtaining the emotion detection result according to the body movements; and / or; The driver's speech is recognized, and the emotion detection result is obtained according to the speech.

3. The intelligent driving mode switching method according to claim 1, characterized in that: The detecting of the road driving environment and obtaining the environmental risk detection result includes: Detect the traffic speed on the road and obtain traffic speed information; Detect traffic flow on the road and obtain traffic flow information; The environmental risk detection result is obtained according to the vehicle speed information and the vehicle volume information.

4. The intelligent driving mode switching method according to claim 1, characterized in that: Analyzing the travel route in combination with the current travel time period to obtain an accident probability analysis result includes: identifying a road the vehicle is currently traveling on; Obtain the current time and the number of accidents that occurred when the vehicle was traveling on the road at the current time; The accident probability analysis result is obtained according to the number of accidents that occurred.

5. The intelligent driving mode switching method according to any one of claims 1 to 4, characterized in that: include: The multiple environmental risk levels include: a first environmental risk level and a second environmental risk level, wherein the environmental risk degree of the first environmental risk level is less than the environmental risk degree of the second environmental risk level; The multiple accident probability levels include: a first accident probability level and a second accident probability level, wherein the accident probability of the first accident probability level is smaller than the accident probability of the second accident probability level.

6. The intelligent driving mode switching method according to claim 5, characterized in that: After outputting the inquiry message for mode switching, the switching method further includes: Receive instructions from the driver; Control the vehicle to operate in a specified mode according to the received instructions.

7. The intelligent driving mode switching method according to claim 6, characterized in that: Responds to the driver's commands and controls the vehicle to operate in a specified mode, including: In the case where the instruction is to reject the mode switching instruction, the vehicle continues to operate in the manual driving mode; and / or If the instruction is to receive a mode switch, switching the vehicle to the smart driving mode; and / or When the vehicle switches to the intelligent driving mode, the emotion detection result, the environmental risk detection result and the accident probability analysis result are continuously monitored to determine whether the vehicle needs to be switched to the manual mode.

8. An intelligent driving mode switching system, characterized in that: The switching system includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the switching method according to any one of claims 1 to 7 are implemented.

9. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by a processor, the steps of the switching method according to any one of claims 1 to 7 are implemented.

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