An automobile information interaction display method, a vehicle and a storage medium

Abstract

The application relates to the technical field of human-computer interaction, and provides a car information interaction display method and a storage medium, wherein when a target display mode is considered, one or more types of target data are fused for comprehensive analysis, the scene adaptation degree of each preset display mode for a current driving scene is dynamically evaluated, intelligent cooperation and dynamic self-adaption of information display are effectively combined based on comprehensive analysis of multi-source information, driving scene, information priority and user demand, driving safety and situational awareness are comprehensively improved, highly personalized intelligent human-computer interaction is realized, driver distraction and cognitive load are reduced, and driving safety is improved.

Description

Technical Field

[0001] This invention relates to the field of human-computer interaction technology, and in particular to a method for displaying automotive information interaction and a storage medium. Background Technology

[0002] With the rapid development of automotive intelligent technology, modern vehicles are equipped with increasingly sophisticated data acquisition devices and information display systems. From traditional mechanical instrument panels to fully digital smart cockpits, in-vehicle display systems are undergoing a revolutionary transformation.

[0003] However, most current in-vehicle display systems still have significant limitations in information presentation and cannot effectively address the challenges of multi-source information fusion and intelligent decision-making, as follows:

[0004] First, the information presentation lacks intelligent priority management, and safety alerts are easily overwhelmed by entertainment or navigation interfaces, posing a driving safety hazard.

[0005] Second, the data from each system is processed in isolation, and there is a lack of coordination between functions such as navigation, vehicle status, and entertainment, resulting in a disconnect between the displayed content and the real-time driving scenario.

[0006] Third, the system cannot dynamically adjust the display strategy based on parameters such as vehicle speed and road conditions, and the static display mode is difficult to adapt to complex and ever-changing driving environments.

[0007] Fourth, the personalization is insufficient, and user preference settings are superficial, failing to achieve true scene adaptation. Summary of the Invention

[0008] This invention provides a method and storage medium for automotive information interaction display, which solves the technical problems of existing in-vehicle interactive display solutions that adopt a static and isolated information presentation mode, which cannot intelligently coordinate and dynamically adapt information display according to driving scenarios, information priorities and user needs, resulting in information overload, low interaction efficiency and safety hazards.

[0009] To address the above technical problems, this invention provides a method for interactive display of automotive information, comprising the following steps:

[0010] Multi-source information is collected, and at least one type of target data is extracted from the multi-source information;

[0011] Normalize at least one type of the target data;

[0012] Based on the mode characteristics of the preset display mode, one or more types of target data are obtained, and decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode.

[0013] Based on the comparative analysis of the scene adaptability, the target display mode is determined from the preset display modes and the content is displayed.

[0014] When considering target display modes, this basic solution integrates one or more types of target data for comprehensive analysis, dynamically evaluates the scene adaptability of each preset display mode to the current driving scenario, and effectively combines intelligent coordination and dynamic adaptation of information display by combining driving scenario, information priority and user needs. This comprehensively improves driving safety and situational awareness, realizes highly personalized intelligent human-computer interaction, reduces driver distraction and cognitive load, and improves driving safety.

[0015] In a further implementation, the multi-source information includes one or more of the following: vehicle operation information, navigation information, real-time traffic information, entertainment system information, vehicle status monitoring information, and user preference information;

[0016] Accordingly, the target data includes one or more of the following: target vehicle speed data, target navigation data, target road condition data, target playback data, target detection data, and target preference data;

[0017] The preset display modes include security mode, navigation mode, and entertainment mode.

[0018] This solution collects one or more of the following in real time: vehicle operation information, navigation information, real-time traffic information, entertainment system information, vehicle status monitoring information, and user preference information. As multi-source information, it analyzes the balance between user needs, driving needs, and safety assurance from multiple perspectives, and aligns the displayed content with the real-time driving scenario to achieve dynamic adaptive display of the scenario, with high real-time performance and high safety.

[0019] In a further implementation, at least one type of target data is extracted from the multi-source information, including:

[0020] The vehicle speed is extracted from the vehicle operation information as the target vehicle speed data;

[0021] And / or, extract the next turning position from the navigation information and calculate the distance between the turning position and the current position as target navigation data;

[0022] And / or, assess the congestion level based on the real-time traffic information and output the congestion level as the target traffic data;

[0023] And / or, determine the media playback status based on the entertainment system information and use it as target playback data;

[0024] And / or, extract the alarm status from the vehicle status monitoring information and use it as target detection data;

[0025] And / or, obtain the user's navigation preference intensity from the user preference information and use it as target preference data.

[0026] This solution further performs preliminary data extraction and analysis on multi-source information to obtain one or more of the following: target vehicle speed data, target navigation data, target road condition data, target playback data, target detection data, and target preference data. It digitizes the factors influencing the display decision based on the real-time driving environment, user preferences, and driving conditions, so as to provide a theoretical basis for subsequent decision-making and fully reflect the actual driving scenario.

[0027] In a further implementation, when the preset display mode is a security mode, one or more types of target data are obtained based on the mode characteristics of the preset display mode, and decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode, including:

[0028] The weighting amplification factor is set based on the total number of information categories from multiple sources;

[0029] The target detection data is acquired for decision analysis. It is determined whether the normalized target data is 0. If not, the scene adaptability of the corresponding security mode is calculated based on the weight amplification coefficient and the target detection data.

[0030] This solution prioritizes safe driving above all else, applies an additional weighting amplification factor for linear amplification, and calculates the scenario adaptability of the corresponding safety mode solely based on target detection data (alarm status). This fundamentally eliminates interference from non-safety factors (other target data) on safety decisions, ensuring absolute reliability and the highest decision-making authority for dangerous situation identification, thus guaranteeing driving safety.

[0031] In a further implementation, when the preset display mode is a navigation mode, one or more types of target data are obtained based on the mode characteristics of the preset display mode, and decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode, including:

[0032] Acquire the target vehicle speed data, target navigation data, target road condition data, and target preference data;

[0033] The weighting coefficients for each category of target data are dynamically set based on correlation analysis.

[0034] Based on the weight coefficients and the corresponding target data, feature fusion is performed to calculate the scene adaptability of the corresponding navigation mode.

[0035] This solution acquires target vehicle speed data, target navigation data, target road condition data, and target preference data, and performs correlation analysis and multimodal feature fusion analysis to calculate the scenario adaptability of the navigation mode to the current driving situation. On the one hand, the forward-looking predictive analysis of target vehicle speed data, target navigation data, and target road condition data can improve driving safety in complex road conditions; on the other hand, by incorporating user preferences, it provides personalized intelligent services to meet the needs of users with different preferences, further improving the quality of user experience.

[0036] In a further implementation, when the preset display mode is entertainment mode, one or more types of target data are obtained based on the mode characteristics of the preset display mode, and decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode, including:

[0037] Obtain the target vehicle speed data and the target playback data;

[0038] The weighting coefficients for each category of target data are dynamically set based on correlation analysis.

[0039] Construct a reverse constraint relationship between the target vehicle speed data and the target playback data, and perform feature fusion based on the weight coefficients and the corresponding target data to calculate the scene adaptability of the corresponding entertainment mode.

[0040] This solution calculates the scene adaptability of the corresponding entertainment mode based on the inverse constraint relationship between vehicle speed and media playback status, combined with correlation analysis. It also considers the coupling analysis of the need for attention concentration during high-speed driving and the emotional relaxation of in-vehicle entertainment, thereby maximizing the comfort and enjoyment of driving and riding while ensuring driving safety.

[0041] In a further implementation, based on the comparative analysis of the scene adaptability, a target display mode is determined from the preset display modes, including:

[0042] A. Obtain the scene adaptability of the corresponding security mode and determine whether it is greater than the first activation threshold. If so, determine the security mode as the target display mode; otherwise, proceed to step B.

[0043] B. Determine whether the scene adaptability of the corresponding navigation mode is greater than that of the corresponding entertainment mode. If yes, proceed to step C; otherwise, proceed to step D.

[0044] C. Determine whether the scene adaptability of the corresponding navigation mode is greater than the second activation threshold. If so, determine the navigation mode as the target display mode; otherwise, select the default mode as the target display mode.

[0045] D. Determine whether the scene adaptability of the corresponding entertainment mode is greater than the third activation threshold. If so, determine the entertainment mode as the target display mode; otherwise, select the default mode as the target display mode.

[0046] This solution sets up four sequential mode analyses (A, B, C, and D) to adapt to three priority management systems: security, navigation, and entertainment. It dynamically selects the display mode based on scene adaptability and corresponding activation thresholds, thereby reconciling the conflict between security requirements and user experience and achieving precise delivery of display resources.

[0047] In a further implementation, the weight amplification factor is not less than the total number of information categories.

[0048] This solution sets a weight amplification factor that is no less than the total number of information categories, thereby helping to ensure the isolation of permissions, which is the highest priority in the security mode, and to protect driving safety.

[0049] The present invention provides a vehicle equipped with a vehicle display system; the vehicle display system establishes a communication connection with an in-vehicle entertainment system and an in-vehicle navigation system; when the vehicle display system is running, it can execute the vehicle information interactive display method described above.

[0050] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the vehicle information interactive display method described above. The computer-readable storage medium may be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc. Attached Figure Description

[0051] Figure 1 This is a flowchart of a vehicle information interactive display method provided in an embodiment of the present invention. Detailed Implementation

[0052] The embodiments of the present invention are described in detail below with reference to the accompanying drawings. The embodiments are given for illustrative purposes only and should not be construed as limiting the present invention. The accompanying drawings are for reference and illustration only and do not constitute a limitation on the scope of patent protection of the present invention, because many changes can be made to the present invention without departing from the spirit and scope of the present invention.

[0053] Example 1

[0054] This invention provides a method for interactive display of automotive information, such as... Figure 1 As shown, in this embodiment, steps S1 to S4 are included:

[0055] S1. Collect multi-source information and extract at least one type of target data from the multi-source information;

[0056] In this embodiment, the multi-source information includes one or more of the following: vehicle operation information V, navigation information N, real-time traffic information R, entertainment system information E, vehicle status monitoring information S, and user preference information U.

[0057] Accordingly, the target data includes one or more of the following: target vehicle speed data, target navigation data, target road condition data, target playback data, target detection data, and target preference data.

[0058] In this embodiment, at least one type of target data is extracted from the multi-source information, including:

[0059] Extract vehicle speed v from the vehicle operation information speed As target vehicle speed data;

[0060] And / or, determine whether navigation is active from the navigation information; if not, record it as 0; if yes, extract the next turning position and calculate the distance d between the turning position and the current position as the target navigation data.

[0061] And / or, assess the congestion level based on the real-time traffic information and output the congestion level as the target traffic data; for example, let the congestion level be r. cong Its value is in the range [0,1], where 1 indicates severe congestion and 0 indicates no congestion.

[0062] And / or, determine the media playback status e based on the entertainment system information. syate And as the target playback data; for example, if media is playing, e state Record it as 1, otherwise record it as 0.

[0063] And / or, extract the alarm status s from the vehicle status monitoring information. alert It is used as target detection data; for example, if there are any critical alarms (such as battery power <20% or low tire pressure), salaryert is recorded as 1; otherwise, it is recorded as 0.

[0064] And / or, obtain the user's navigation preference strength u from the user preference information. pref This is used as target preference data. For example, user settings are mapped to [0,1], where 1 indicates a high navigation preference.

[0065] Specifically, if the vehicle is in motion, navigation is activated, the next turn is 300 meters away, the congestion level is 0.7, music is playing, there are no safety alarms, and the user prefers navigation (set value 0.9), then the extracted target data is: v speed =80; d=300; r cong =0.7; estate =1; s alert =0; u pref =0.9.

[0066] S2. Normalize at least one type of target data, specifically:

[0067] 1) Vehicle speed v speed The normalized data are:

[0068]

[0069] Among them, v max Maximum vehicle speed (an adjustable parameter, e.g., 200 km / h).

[0070] 2) The normalized data for the navigation distance d is as follows:

[0071]

[0072] Where, d max This is the maximum reference distance (adjustable parameter, e.g., 1000 meters).

[0073] 3) Congestion level r cong The original values ​​are already within [0,1], so no further normalization is needed, i.e.:

[0074] f r =r cong

[0075] 4) Media playback status e state The original value is binary data and does not require further normalization, i.e.:

[0076] f e =e state

[0077] 5) Alarm Status s alert The original value is binary data and does not require further normalization, i.e.:

[0078] f s =s alert

[0079] 6) User preference data u pref The original values ​​are already within [0,1], so no further normalization is needed, i.e.:

[0080] f u =u pref

[0081] For example, the target data extracted above is: v speed =80; d=300; r cong =0.7; e state=1; s alert =0; u pref =0.9, then the target data for normalization is: f v =0.4; f n =0.7; f r =0.7; f e =1:f s =0; f u =0.9.

[0082] This embodiment further performs preliminary data extraction and analysis on multi-source information to obtain one or more of the following: target vehicle speed data, target navigation data, target road condition data, target playback data, target detection data, and target preference data. The factors influencing the display decision, such as real-time driving environment, user preferences, and driving conditions, are digitized to provide a theoretical basis for subsequent decision-making and to fully reflect the actual driving scenario.

[0083] S3. Based on the mode characteristics of the preset display mode, obtain one or more types of target data, perform decision analysis based on the target data, and evaluate the scene adaptability of the corresponding preset display mode.

[0084] In this embodiment, the preset display modes include security mode, navigation mode, and entertainment mode.

[0085] In this embodiment, when the preset display mode is a security mode, one or more types of target data are obtained based on the mode characteristics of the preset display mode. Decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode, including:

[0086] The weighting amplification factor is set based on the total number of information categories from multiple sources;

[0087] The target detection data is acquired and used for decision analysis. It is determined whether the normalized target data is 0. If not, the scene adaptability of the corresponding security mode is calculated based on the weight amplification coefficient and the target detection data. The calculation formula is as follows:

[0088] S safe =K·f s

[0089] In the formula, S safe This represents the scene adaptability of the corresponding security mode, and K is the weight amplification factor.

[0090] In this embodiment, the weight amplification factor is not less than the total number of information categories. Specifically, the value of K must ensure that f s When S is 1, safe The value is much greater than S nav S ent For example, K=10.

[0091] In this embodiment, the weight amplification factor is set to be no less than the total number of information categories, thereby helping to ensure the isolation of permissions, which is the highest priority in the security mode, and to protect driving safety.

[0092] This embodiment prioritizes safe driving and adds a weight amplification factor for linear amplification. Furthermore, it calculates the scene adaptability of the corresponding safety mode solely based on target detection data (alarm status). This fundamentally eliminates interference from non-safety factors (other target data) on safety decisions, ensuring the absolute reliability of dangerous situation identification and the highest decision-making authority, thus guaranteeing driving safety.

[0093] In this embodiment, when the preset display mode is navigation mode, one or more types of target data are obtained based on the mode characteristics of the preset display mode, and decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode, including:

[0094] Acquire the target vehicle speed data, target navigation data, target road condition data, and target preference data;

[0095] The weighting coefficients for each category of target data are dynamically set based on correlation analysis.

[0096] Based on the weighting coefficients and the corresponding target data, feature fusion is performed to calculate the scene adaptability of the corresponding navigation mode. The calculation formula is as follows:

[0097] S nav =w n ·f n +w r ·f r +w v ·f v +w u ·f u

[0098] In the formula, S nav Indicates the scene adaptability of the corresponding navigation mode, w n w r w v w u The weighting coefficients are adjustable and satisfy w n +w r +w v +w u =1.

[0099] For example, w n =0.4, w r =0.3, w v =0.2, w u =0.1.

[0100] This embodiment acquires target vehicle speed data, target navigation data, target road condition data, and target preference data, and performs correlation analysis and multimodal feature fusion analysis to calculate the scenario adaptability of the navigation mode to the current driving situation. On the one hand, the forward-looking predictive analysis of target vehicle speed data, target navigation data, and target road condition data can improve driving safety in complex road conditions; on the other hand, by introducing user preferences, personalized intelligent services are provided to meet the needs of users with different preferences, further improving the quality of user experience.

[0101] In this embodiment, when the preset display mode is entertainment mode, one or more types of target data are obtained based on the mode characteristics of the preset display mode, and decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode, including:

[0102] Obtain the target vehicle speed data and the target playback data;

[0103] The weighting coefficients for each category of target data are dynamically set based on correlation analysis.

[0104] A reverse constraint relationship is constructed between the target vehicle speed data and the target playback data. Based on the weight coefficients and the corresponding target data, feature fusion is performed to calculate the scene adaptability of the corresponding entertainment mode. The calculation formula is as follows:

[0105] S ent =w e ·f e +w low ·(1-f v )

[0106] Among them, S ent Indicates the scene adaptability of the corresponding entertainment mode, w e w low The weighting coefficients are adjustable and satisfy w e +w low =1.

[0107] For example, w e =0.6, w low =0.4.

[0108] If f r =1,f v =0.4, then S ent =0.6*1+0.4*(1-0.4)=0.84.

[0109] This embodiment calculates the scene adaptability of the corresponding entertainment mode based on the inverse constraint relationship between vehicle speed and media playback status, combined with correlation analysis. It also considers the coupling analysis of the need for attention concentration during high-speed driving and the emotional relaxation of in-vehicle entertainment, thereby maximizing the comfort and enjoyment of driving while ensuring driving safety.

[0110] S4. Based on the comparative analysis of the scene adaptability, determine the target display mode from the preset display modes and display the content, including steps A to D:

[0111] A. Obtain the scene adaptability of the corresponding security mode and determine whether it is greater than the first activation threshold. If so, determine the security mode as the target display mode; otherwise, proceed to step B.

[0112] B. Determine whether the scene adaptability of the corresponding navigation mode is greater than that of the corresponding entertainment mode. If yes, proceed to step C; otherwise, proceed to step D.

[0113] C. Determine whether the scene adaptability of the corresponding navigation mode is greater than the second activation threshold. If so, determine the navigation mode as the target display mode; otherwise, select the default mode as the target display mode.

[0114] D. Determine whether the scene adaptability of the corresponding entertainment mode is greater than the third activation threshold. If so, determine the entertainment mode as the target display mode; otherwise, select the default mode as the target display mode.

[0115] The specific working principle is as follows:

[0116] 1) If S safe >θ safe The display mode is then set to safe mode, where θ safe Set the safe mode activation threshold (e.g., 5.0);

[0117] 2) If S safe <θ safe S nav >θ nav And S nav ≥S ent The display mode is then navigation mode, where S nav Set the activation threshold for navigation mode (e.g., = 0.5);

[0118] 3) If S safe <θ safe S ent >θ ent And S nav ent The display mode is then entertainment mode, where θ ent Set the activation threshold for entertainment mode (e.g., 0.4).​

[0119] 4) If none of the above conditions are met, the default mode content will be displayed. The default mode content is either navigation mode or entertainment mode, which can be set by the user.

[0120] This embodiment sets up four sequential mode analyses (A, B, C, and D) to adapt to three priority management systems: security, navigation, and entertainment. By dynamically selecting the display mode based on scene adaptability and corresponding activation thresholds, it reconciles the conflict between security requirements and user experience and achieves precise delivery of display resources.

[0121] D. Display content according to the target display mode, specifically:

[0122] Safety Mode: Displays critical vehicle status alerts (such as battery level and tire pressure) overridden with other information.

[0123] Navigation mode: Displays map, route planning, and real-time traffic conditions. The display area for the media player, playlist, or video progress can be minimized to a small window or moved to the passenger screen.

[0124] Entertainment Mode: Displays a media player, playlist, or video progress bar. The area displaying maps, route planning, and real-time traffic information can be minimized to a small window or moved to the passenger-side screen.

[0125] This embodiment collects one or more of the following in real time: vehicle operation information, navigation information, real-time traffic information, entertainment system information, vehicle status monitoring information, and user preference information. As multi-source information, it analyzes the balance between user needs, driving needs, and safety assurance from multiple perspectives, and aligns the displayed content with the real-time driving scenario in real time to achieve dynamic adaptive display of the scenario, with high real-time performance and high safety.

[0126] Example 2

[0127] This invention provides a vehicle equipped with a vehicle display system; the vehicle display system establishes a communication connection with an in-vehicle entertainment system and an in-vehicle navigation system; when the vehicle display system is running, it can execute the vehicle information interaction display method described in Embodiment 1 above.

[0128] The vehicle display system includes at least one of the following: instrument panel, central control screen, and HUD.

[0129] Example 3

[0130] This invention also provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the steps of the vehicle information interactive display method described in the above embodiments. The computer-readable storage medium may be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0131] When considering target display modes, this invention integrates one or more types of target data for comprehensive analysis, dynamically evaluates the scene adaptability of each preset display mode to the current driving scenario, and effectively combines intelligent coordination and dynamic adaptation of information display by combining driving scenario, information priority and user needs based on comprehensive analysis of multi-source information. This comprehensively improves driving safety and situational awareness, realizes highly personalized intelligent human-computer interaction, reduces driver distraction and cognitive load, and improves driving safety.

[0132] The above embodiments are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments. Any changes, modifications, substitutions, combinations, or simplifications made without departing from the spirit and principle of the present invention shall be considered equivalent substitutions and shall be included within the protection scope of the present invention.

Claims

1. A method for interactive display of automotive information, characterized in that, Including the following steps: Multi-source information is collected, and at least one type of target data is extracted from the multi-source information; Normalize at least one type of the target data; Based on the mode characteristics of the preset display mode, one or more types of target data are obtained, and decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode. Based on the comparative analysis of the scene adaptability, the target display mode is determined from the preset display modes and the content is displayed. When the preset display mode is security mode, one or more types of target data are obtained based on the mode characteristics of the preset display mode. Decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode, including: The weighting amplification factor is set based on the total number of information categories from multiple sources; Target detection data is acquired for decision analysis. It is determined whether the normalized target data is 0. If not, the scene adaptability of the corresponding security mode is calculated based on the weight amplification coefficient and the target detection data. When the preset display mode is navigation mode, one or more types of target data are obtained based on the mode characteristics of the preset display mode. Decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode, including: Acquire target vehicle speed data, target navigation data, target road condition data, and target preference data; The weighting coefficients for each category of target data are dynamically set based on correlation analysis. Based on the weight coefficients and the corresponding target data, feature fusion is performed to calculate the scene adaptability of the corresponding navigation mode; When the preset display mode is entertainment mode, one or more types of target data are obtained based on the mode characteristics of the preset display mode. Decision analysis is performed based on the target data to evaluate the scene adaptability of the corresponding preset display mode, including: Obtain target vehicle speed data and target playback data; The weighting coefficients for each category of target data are dynamically set based on correlation analysis. Construct a reverse constraint relationship between the target vehicle speed data and the target playback data, and perform feature fusion based on the weight coefficients and the corresponding target data to calculate the scene adaptability of the corresponding entertainment mode.

2. The vehicle information interactive display method as described in claim 1, characterized in that: The multi-source information includes one or more of the following: vehicle operation information, navigation information, real-time traffic information, entertainment system information, vehicle status monitoring information, and user preference information; Accordingly, the target data includes one or more of the following: target vehicle speed data, target navigation data, target road condition data, target playback data, target detection data, and target preference data; The preset display modes include security mode, navigation mode, and entertainment mode.

3. The automotive information interactive display method as described in claim 2, characterized in that, Extracting at least one type of target data from the multi-source information includes: The vehicle speed is extracted from the vehicle operation information as the target vehicle speed data; And / or, extract the next turning position from the navigation information and calculate the distance between the turning position and the current position as target navigation data; And / or, assess the congestion level based on the real-time traffic information and output the congestion level as the target traffic data; And / or, determine the media playback status based on the entertainment system information and use it as target playback data; And / or, extract the alarm status from the vehicle status monitoring information and use it as target detection data; And / or, obtain the user's navigation preference intensity from the user preference information and use it as target preference data.

4. The automotive information interactive display method as described in claim 2, characterized in that, Based on the comparative analysis of the scene adaptability, the target display mode is determined from the preset display modes, including: A. Obtain the scene adaptability of the corresponding security mode and determine whether it is greater than the first activation threshold. If so, determine the security mode as the target display mode; otherwise, proceed to step B. B. Determine whether the scene adaptability of the corresponding navigation mode is greater than that of the corresponding entertainment mode. If yes, proceed to step C; otherwise, proceed to step D. C. Determine whether the scene adaptability of the corresponding navigation mode is greater than the second activation threshold. If so, determine the navigation mode as the target display mode; otherwise, select the default mode as the target display mode. D. Determine whether the scene adaptability of the corresponding entertainment mode is greater than the third activation threshold. If so, determine the entertainment mode as the target display mode; otherwise, select the default mode as the target display mode.

5. The automotive information interactive display method as described in claim 1, characterized in that: The weight amplification factor is not less than the total number of information categories.

6. A vehicle, characterized in that, The vehicle is equipped with a vehicle display system; the vehicle display system establishes a communication connection with the in-vehicle entertainment system and the in-vehicle navigation system; when the vehicle display system is running, it can execute the vehicle information interaction display method as described in any one of claims 1-5 above.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the vehicle information interactive display method as described in any one of claims 1 to 5.

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