Vehicle navigation evaluation and upgrading method and system

Abstract

The invention provides a method and a system for evaluating and upgrading vehicle-mounted navigation of a vehicle. The method comprises the following steps: acquiring functional information about information quality, system quality or interaction quality of a vehicle-mounted navigation system of the vehicle; analyzing the obtained information to obtain the credibility of the user to the vehicle-mounted navigation system; determining whether the credibility of the user to the vehicle-mounted navigation system is relatively low in combination with the use intention of the user to the vehicle-mounted navigation system; under the condition that the credibility is relatively low, determining one or more factors causing the relatively low credibility in the acquired information; and activating a functional upgrade of the vehicle navigation system for the determined one or more factors. The invention further provides a vehicle with the vehicle-mounted navigation evaluation and upgrading function.

Description

Technical Field

[0001] The present disclosure relates to the field of intelligent driving, and more specifically, to a method and system for evaluating and upgrading an on-board navigation system of a vehicle. Background Art

[0002] At present, although most vehicles are equipped with on-board navigation, the usage rate is low due to the limited capabilities of the vehicle itself (for example, in terms of information, system, interaction, etc.). Currently, users tend to use, for example, mobile navigation, which can update maps in a timely manner due to real-time networking. The real-time congestion situation ahead of the road can also be fed back to the user in the first time, allowing the user to re-plan the route, and the user can also freely choose the navigation software.

[0003] In addition, the current in-vehicle navigation does not take into account the driver's state (for example, whether the driver is distracted, etc.), and it is impossible to personalize the settings of the in-vehicle navigation based on the current driver's state.

[0004] Therefore, in order to further increase the usage rate of in-vehicle navigation, it is desired to provide an improved in-vehicle navigation evaluation and upgrade solution, so that when the user does not want to continue using the in-vehicle navigation, the functions in the in-vehicle navigation system that cause the user's trust to decrease can be upgraded, thereby increasing user trust and improving user experience. Summary of the invention

[0005] This disclosure is provided to introduce some concepts in a simplified form that will be further described in the following detailed description. This disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

[0006] In response to the above problems, according to the first aspect of the present disclosure, a method for evaluating and upgrading an in-vehicle navigation system of a vehicle is provided, the method comprising: obtaining functional information about the information quality, system quality or interaction quality of the in-vehicle navigation system of the vehicle; analyzing the obtained information to obtain the user's trust in the in-vehicle navigation system; determining whether the user's trust in the in-vehicle navigation system is low in combination with the user's intention to use the in-vehicle navigation system; in the case of a low trust, determining one or more factors in the obtained information that lead to the low trust; and activating a functional upgrade of the in-vehicle navigation system for the determined one or more factors.

[0007] In the implementation scheme of the present disclosure, functional information about information quality, system quality and interaction quality on the vehicle side is collected and combined with the current user's usage intention to analyze whether the current trust in the in-vehicle navigation is low, and if the trust is low, the functionality is upgraded according to various factors affecting the trust, thereby improving the user's trust in the in-vehicle navigation, thereby further improving the usage rate of the in-vehicle navigation and improving the user experience.

[0008] According to an embodiment of the present disclosure, the method further comprises: acquiring monitored driver status information, wherein the user's trust in the in-vehicle navigation system is analyzed based on the functional information and the driver status information.

[0009] According to a further embodiment of the present disclosure, the information quality indicates a perceived availability of map information, the system quality indicates a perceived network delay, and the interaction quality indicates a perceived convenience of interaction with the in-vehicle navigation system.

[0010] According to a further embodiment of the present disclosure, the driver status information includes a driver emotional state, a driver fatigue state, or a driver distraction state.

[0011] According to a further embodiment of the present disclosure, when the determined one or more factors include information quality, activating the functional upgrade of the in-vehicle navigation system for the determined one or more factors further includes performing one or more of the following: upgrading the ordinary vehicle map of the in-vehicle navigation system to a high-precision map; or communicatively coupling with the cloud control platform to obtain centralized routing capabilities.

[0012] According to a further embodiment of the present disclosure, when the determined one or more factors include system quality, activating the functional upgrade of the in-vehicle navigation system for the determined one or more factors further includes: upgrading the 4G vehicle network to a 5G vehicle network.

[0013] According to a further embodiment of the present disclosure, when the determined one or more factors include interaction quality, activating the functional upgrade of the in-vehicle navigation system for the determined one or more factors further includes: setting voice interaction as a priority.

[0014] According to a further embodiment of the present disclosure, when the determined one or more factors include the driver status, activating the functional upgrade of the in-vehicle navigation system for the determined one or more factors further includes: personalizing the language preference or voice preference of the in-vehicle navigation system.

[0015] According to a second aspect of the present disclosure, there is provided an in-vehicle navigation evaluation and upgrade system for a vehicle, the system comprising: an information acquisition module, the information acquisition module being configured to acquire functional information about information quality, system quality or interaction quality of the in-vehicle navigation system of the vehicle; an information analysis module, the information analysis module being configured to analyze the acquired information to obtain a user's trust in the in-vehicle navigation system; an information processing module, the information processing module being configured to determine whether the user's trust in the in-vehicle navigation system is low in combination with the user's intention to use the in-vehicle navigation system; a functional upgrade module, the functional upgrade module being configured to: in the case where the trust is low, determine one or more factors in the acquired information that lead to the low trust; and activate a functional upgrade of the in-vehicle navigation system for the determined one or more factors.

[0016] According to an embodiment of the present disclosure, the information acquisition module is further configured to: acquire monitored driver status information, wherein the user's trust in the in-vehicle navigation system is analyzed based on the functional information and the driver status information.

[0017] According to a further embodiment of the present disclosure, the information quality indicates a perceived availability of map information, the system quality indicates a perceived network delay, and the interaction quality indicates a perceived convenience of interaction with the in-vehicle navigation system.

[0018] According to a further embodiment of the present disclosure, the driver status information includes a driver emotional state, a driver fatigue state, or a driver distraction state.

[0019] According to a further embodiment of the present disclosure, the function upgrade module is further configured to: when the determined one or more factors include information quality, upgrade the ordinary vehicle map of the in-vehicle navigation system to a high-precision map; or communicatively couple with the cloud control platform to obtain centralized routing capabilities; when the determined one or more factors include system quality, upgrade the 4G vehicle network to the 5G vehicle network; when the determined one or more factors include interaction quality, set voice interaction as priority; and when the determined one or more factors include driver status, personalize the language preference or voice preference of the in-vehicle navigation system.

[0020] According to a third aspect of the present disclosure, a vehicle with an on-board navigation evaluation and upgrade function is provided, the vehicle comprising: an on-board navigation evaluation and upgrade system as described in any one of the aforementioned aspects; a data recorder for collecting and providing functional information about the information quality, system quality or interaction quality of the on-board navigation system of the vehicle to the on-board navigation evaluation and upgrade system; and a visual sensor for collecting and providing driver status information to the on-board navigation evaluation and upgrade system.

[0021] According to a fourth aspect of the present disclosure, a computer-readable storage medium storing instructions is provided, which, when executed, causes a vehicle to execute the method described in any one of the preceding aspects.

[0022] These and other features and advantages will become apparent by reading the following detailed description and by reference to the associated drawings.It is to be understood that the foregoing general description and the following detailed description are illustrative only and are not restrictive of the aspects of what is claimed. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to understand in detail the manner in which the above features of the present disclosure are used, the above briefly summarized contents may be described in more detail with reference to various embodiments, some of which are shown in the accompanying drawings. However, it should be noted that the accompanying drawings only show certain typical aspects of the present disclosure and should not be considered to limit its scope, as the description may allow for other equally effective aspects.

[0024] Figure 1 A schematic architecture diagram of a vehicle navigation evaluation and upgrade system according to an embodiment of the present disclosure is shown.

[0025] Figure 2 A system architecture diagram with vehicle navigation as the core according to an embodiment of the present disclosure is shown.

[0026] Figure 3 An exemplary flow chart of an in-vehicle navigation evaluation and upgrade method according to an embodiment of the present disclosure is shown.

[0027] Figure 4 An exemplary vehicle supporting an in-vehicle navigation evaluation and upgrade function according to an embodiment of the present disclosure is shown.

[0028] Figure 5 A schematic architecture diagram of a vehicle navigation evaluation and upgrade system according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0029] The present disclosure is described in detail below in conjunction with the accompanying drawings, and the features of the present disclosure will be further revealed in the following specific description. The term "vehicle" used throughout the specification refers to any type of automobile, including but not limited to cars, vans, trucks, buses, etc.

[0030] Figure 1 FIG. 1 shows a schematic architecture diagram of an in-vehicle navigation evaluation and upgrade system 100 for a vehicle according to an embodiment of the present disclosure. Figure 1 As shown, the system 100 may include at least an information acquisition module 102 , an information analysis module 104 , an information processing module 106 and a function upgrade module 108 .

[0031] The information acquisition module 102 may be configured to acquire functional information about information quality, system quality, or interaction quality of an in-vehicle navigation system of the vehicle.

[0032] In one embodiment, the information quality may indicate the perceived availability of map information (such as whether deviation recalculation, inability to locate, road tracking errors, etc. occur), the system quality may indicate the perceived network delay (such as 3G, 4G network delay, etc.), and the interaction quality may indicate the perceived convenience of interaction with the in-vehicle navigation system (such as determining whether the user's interaction with the in-vehicle navigation system is convenient by the number of key attempts, success rates, etc.).

[0033] Go to here Figure 2 , Figure 2 The example architecture diagram of a system 200 with vehicle navigation as the core is shown. Vehicle navigation refers to a navigation product used in a vehicle computer, which may be similar to mobile phone navigation in software functions, but may provide a better experience in hardware and interaction with the host.

[0034] like Figure 2 As shown, the system 200 with in-vehicle navigation as the core may include cloud services 202, smart cockpit 204, voice control 206, in-vehicle navigation 208, in-vehicle OS 210, and vehicle hardware 212. Cloud services 202 can provide data storage and cloud computing capabilities for the basic functions of in-vehicle navigation (e.g., route calculation, positioning, voice guidance, etc.) and online services of other hardware modules. Smart cockpit 204 may include modules such as instruments, steering wheels, and center consoles that interact with in-vehicle navigation, mainly providing capabilities such as command input and content output for various services of in-vehicle navigation. Voice control 206 can operate in-vehicle navigation by providing a voice interaction method (e.g., through voice recognition, NLP, etc.). In-vehicle OS 210 mainly provides capabilities such as hardware resource allocation and software framework platform output. Vehicle hardware 212 may include CPU, memory, display screen, positioning chip, gyroscope, etc., which mainly provide basic capabilities such as calculation and positioning.

[0035] Thus, the information acquisition module 102 can acquire functional information about the information quality, system quality or interaction quality of the system 200 for subsequent analysis and corresponding functional upgrade.

[0036] Furthermore, the information acquisition module 102 may also acquire monitored driver status information, wherein the user's trust in the in-vehicle navigation system is analyzed based on the functional information and the driver status information.

[0037] In some aspects, the driver state information may include one or more of a driver emotional state, a driver fatigue state, or a driver distraction state.

[0038] return Figure 1 The information analysis module 104 may be configured to analyze the acquired information to obtain the user's trust in the vehicle navigation system.

[0039] In one embodiment, the information analysis module 104 may rate the information quality, system quality or interaction quality of the vehicle navigation system based on the acquired information (e.g., into low, medium, high, etc.) to obtain the user's trust in the vehicle navigation system (e.g., which may be expressed in the form of a score). For example, when the information quality, system quality and interaction quality are all low, it can be obtained that the user's trust in the vehicle navigation system is low.

[0040] The information processing module 106 may determine whether the user's trust in the in-vehicle navigation system is low in combination with the user's intention to use the in-vehicle navigation system.

[0041] In one embodiment, when the user desires to continue using the in-vehicle navigation system, the information processing module 106 may determine that the user has a high degree of trust in the in-vehicle navigation system, in which case further function upgrade operations are generally not required.

[0042] However, in another embodiment, when the user does not want to continue using the in-vehicle navigation system and switches to other navigation products, the information processing module 106 may determine that the user has low trust in the in-vehicle navigation system, in which case further function upgrade operations are required.

[0043] When the trust level is low, the function upgrade module 108 may determine one or more factors in the acquired information that lead to the low trust level, and activate a functionality upgrade of the in-vehicle navigation system for the determined one or more factors.

[0044] In one embodiment, when factors leading to low trust include information quality (for example, poor map information availability (frequent deviation recalculation, road tracking errors, etc.)), the function upgrade module 108 can upgrade the ordinary vehicle map of the vehicle navigation system to a high-precision map, or can be communicatively coupled with the cloud control platform to obtain centralized routing capabilities.

[0045] In one embodiment, when the factors leading to lower trust include system quality (e.g., high network latency), the function upgrade module 108 may upgrade the 4G vehicle network to a 5G vehicle network.

[0046] In one embodiment, when the factors leading to low trust include interaction quality (eg, poor interaction convenience), the function upgrade module 108 may set voice interaction as a priority.

[0047] In one embodiment, when the factors leading to low trust include the driver's state (for example, detecting driver distraction based on detecting the direction of the driver's gaze), the function upgrade module 108 can personalize the language preference (for example, switching Mandarin to a dialect) or voice preference (for example, switching a male voice announcement to a female voice announcement) of the in-vehicle navigation system.

[0048] In some aspects, the function upgrade module 108 may adjust the language preference or voice preference of the in-vehicle navigation system, for example, based on the personalized settings of the user profile.

[0049] Those skilled in the art will appreciate that the system 100 and its modules of the present disclosure may be implemented in hardware or software, and the modules may be merged or combined in any appropriate manner.

[0050] Figure 3 An exemplary flow chart of an in-vehicle navigation evaluation and upgrade method 300 for a vehicle according to an embodiment of the present disclosure is shown.

[0051] The method 300 begins at step 302 , where the information acquisition module 102 may acquire functional information about information quality, system quality, or interaction quality of an in-vehicle navigation system of a vehicle (eg, from a data recorder of the vehicle).

[0052] In one embodiment, information quality may indicate perceived availability of map information, system quality may indicate perceived network latency, and interaction quality may indicate perceived ease of interaction with the in-vehicle navigation system.

[0053] Furthermore, the information acquisition module 102 may also acquire the monitored driver status information for subsequent analysis and corresponding functional upgrades.

[0054] In some aspects, the driver state information may include one or more of the driver's emotional state, the driver's fatigue state, or the driver's distracted state. In one example, the driver state information may be analyzed based on a driver image (including, for example, facial features, hand features, body features, etc.) obtained from a camera or the like according to a driver state monitoring algorithm.

[0055] In step 304 , the information analysis module 104 may analyze the acquired information to obtain the user's trust in the in-vehicle navigation system.

[0056] In one embodiment, the above analysis may be performed by scoring / grading the acquired information.

[0057] In step 306 , the information processing module 106 may determine whether the user's trust in the in-vehicle navigation system is low based on the user's intention to use the in-vehicle navigation system.

[0058] In one embodiment, the information processing module 106 may determine that the user has a high degree of trust in the in-vehicle navigation system when the user desires to continue using the in-vehicle navigation system, thereby eliminating the need for subsequent upgrade operations.

[0059] In another embodiment, the information processing module 106 may determine that the user's trust in the in-vehicle navigation system is low when the user does not expect to continue using the in-vehicle navigation system, thereby requiring a subsequent upgrade operation.

[0060] In step 308 , the function upgrade module 108 may determine one or more factors in the acquired information that lead to a low degree of trust if the degree of trust is low.

[0061] In step 310 , the functionality upgrade module 108 may activate the functionality upgrade of the in-vehicle navigation system in response to the determined one or more factors.

[0062] In one embodiment, when the determined one or more factors include information quality, the function upgrade module 108 may perform one or more of the following: upgrade the ordinary vehicle map of the vehicle navigation system to a high-precision map; or communicatively couple with the cloud control platform to obtain centralized routing capabilities.

[0063] In one embodiment, when the determined one or more factors include system quality, the function upgrade module 108 may upgrade the 4G Internet of Vehicles to a 5G Internet of Vehicles.

[0064] In one embodiment, when the determined one or more factors include the quality of interaction, the function upgrade module 108 may set the voice interaction as a priority.

[0065] In one embodiment, when the determined one or more factors include the driver's status, the function upgrade module 108 may personalize the language preference or voice preference of the in-vehicle navigation system.

[0066] Of course, it is understandable that the functional upgrade for the factors affecting the user's trust can also be performed by any other methods known to those skilled in the art.

[0067] In one scenario, the current navigation system on the vehicle side uses ordinary on-board maps. By collecting and analyzing information about map availability, it can be identified that the probability of deviation recalculation, inability to locate, road grasping errors, etc. is high. In this case, combined with the user's intention not to continue using the on-board navigation, it can be determined that the user's trust in the on-board navigation is low. Therefore, the function of the on-board navigation can be upgraded in terms of information quality to improve the user's trust. Therefore, the user can be advised to upgrade the ordinary on-board map to a high-precision map. The high-precision map can assist vehicle sensors to narrow the recognition range, improve recognition efficiency, and reduce error rates by providing prior knowledge such as road information, while making up for the perception defects of other sensors in certain environments (such as failure of other sensors in rain, snow, and darkness), and combine with V2X to further break through the limitations of sensor perception. In addition, the high-precision map can also combine navigation planning, real-time road conditions, autonomous driving function levels, and suitable routes for autonomous driving to help vehicles perform lane-level path planning, and assist local path planning by predicting the road conditions and obstacles ahead based on prior knowledge and real-time road conditions, thereby significantly improving the map information quality of the on-board navigation and further improving user trust.

[0068] Therefore, by collecting functional information or driver status information on the vehicle side and combining it with the current user's intention to continue using it, we can analyze whether the current trust in the in-vehicle navigation is low, and if the trust is low, we can upgrade the functionality as needed, thereby increasing the usage rate of the in-vehicle navigation and further improving the user experience.

[0069] Figure 4 An exemplary vehicle 400 supporting in-vehicle navigation evaluation and upgrade functionality according to one embodiment of the present disclosure is shown.

[0070] The vehicle 400 may include Figure 1The in-vehicle navigation evaluation and upgrade system 100 shown in the figure can obtain functional information about the information quality, system quality or interaction quality of the in-vehicle navigation system of the vehicle; analyze the obtained information to obtain the user's trust in the in-vehicle navigation system; determine whether the user's trust in the in-vehicle navigation system is low in combination with the user's intention to use the in-vehicle navigation system; in the case of low trust, determine one or more factors in the obtained information that lead to low trust; and activate functional upgrades of the in-vehicle navigation system for the determined one or more factors.

[0071] The vehicle 400 may further include a data recorder 402 , which may be used to collect and provide functional information about information quality, system quality, or interaction quality of the vehicle navigation system of the vehicle 400 to the vehicle navigation evaluation and upgrade system 100 .

[0072] The vehicle 400 may further include a visual sensor 404, which may be used to collect and provide driver status information to the in-vehicle navigation evaluation and upgrade system 100. For example, the visual sensor 404 installed on the vehicle 400 may collect a driver image (including, for example, facial features, hand features, etc.), and detect the driver status based on, for example, gaze direction, yawning, blinking, head movement, etc.

[0073] Figure 5 1 shows a schematic architecture diagram of a vehicle navigation evaluation and upgrade system 500 according to an embodiment of the present disclosure. The system 500 can be configured to execute various methods described herein (including, for example, Figure 3 aspects of the methods described herein.

[0074] like Figure 5 As shown, the system 500 may include one or more processors 502. The one or more processors 502 may include a central processing unit (CPU), which may be a multi-core CPU in some examples. The instructions executed at the CPU may be loaded, for example, from a program memory associated with the CPU or may be loaded from a memory 604. The one or more processors 502 may also include additional processing components customized for specific functions, such as a graphics processing unit (GPU), a digital signal processor (DSP), and a neural processing unit (NPU). In some examples, the one or more processors 502 may be based on an ARM or RISC-V instruction set.

[0075] The system 500 also includes a memory 504. The memory 504 may include RAM, ROM, or a combination thereof. The memory 504 may store computer executable instructions that, when executed by at least one processor 502, cause the at least one processor to perform various functions described herein, including: obtaining functional information about the information quality, system quality, or interaction quality of the vehicle's in-vehicle navigation system; analyzing the obtained information to obtain the user's trust in the in-vehicle navigation system; determining whether the user's trust in the in-vehicle navigation system is low in combination with the user's intention to use the in-vehicle navigation system; in the case of low trust, determining one or more factors in the obtained information that cause low trust; and activating a functional upgrade of the in-vehicle navigation system for the determined one or more factors. In some cases, the memory 504 may include a BIOS in particular, which may control basic hardware or software operations, such as interaction with peripheral components or devices.

[0076] Understandably, Figure 5 This is merely one example of a system, and other systems including fewer, additional, or alternative aspects may also be consistent with the present disclosure.

[0077] The various illustrative blocks and modules described in conjunction with the disclosure herein may be implemented or executed with a general purpose processor, a DSP, an ASIC, an FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in an alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented as a combination of computing devices (e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration).

[0078] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored on or transmitted by a computer-readable medium as one or more instructions or codes. Other examples and implementations fall within the scope of the present disclosure and the appended claims. For example, due to the nature of software, the functions described herein may be implemented using software executed by a processor, hardware, firmware, hardwiring, or any combination thereof. Features that implement the functions may also be physically located in various locations, including being distributed so that parts of the functions are implemented at different physical locations.

[0079] What has been described above includes examples of various aspects of the claimed subject matter. Of course, it is not possible to describe every conceivable combination of components or methods for the purpose of describing the claimed subject matter, but one of ordinary skill in the art will recognize that many further combinations and permutations of the claimed subject matter are possible. Thus, the disclosed subject matter is intended to encompass all such alterations, modifications, and variations that fall within the spirit and scope of the appended claims.

Claims

1. A method for evaluating and upgrading vehicle navigation system, the method comprising: Obtaining functional information about information quality, system quality or interaction quality of an in-vehicle navigation system of the vehicle; Analyzing the acquired information to obtain the user's trust in the vehicle navigation system; determining whether the user's trust in the in-vehicle navigation system is low based on the user's intention to use the in-vehicle navigation system; In the case of low confidence, determining one or more factors in the acquired information that cause the confidence level to be low; as well as A functional upgrade of the in-vehicle navigation system is activated in response to the determined one or more factors.

2. The method according to claim 1, characterized in that The method further comprises: The monitored driver status information is acquired, wherein the user's trust in the in-vehicle navigation system is analyzed based on the functional information and the driver status information.

3. The method according to claim 1, characterized in that The information quality indicates a perceived availability of map information, the system quality indicates a perceived network latency, and the interaction quality indicates a perceived ease of interaction with the in-vehicle navigation system.

4. The method according to claim 2, characterized in that The driver status information includes the driver's emotional state, the driver's fatigue state or the driver's distraction state.

5. The method according to claim 3, characterized in that When the determined one or more factors include information quality, activating the functional upgrade of the in-vehicle navigation system for the determined one or more factors further includes performing one or more of the following: Upgrading the ordinary vehicle map of the vehicle navigation system to a high-precision map; or Communicatively coupled with the cloud control platform to obtain centralized routing capabilities.

6. The method according to claim 3, characterized in that When the determined one or more factors include system quality, activating a functional upgrade of the in-vehicle navigation system for the determined one or more factors further comprises: Upgrade 4G Internet of Vehicles to 5G Internet of Vehicles.

7. The method according to claim 3, characterized in that When the determined one or more factors include interaction quality, activating the functional upgrade of the in-vehicle navigation system for the determined one or more factors further includes: Make voice interaction a priority.

8. The method according to claim 2, characterized in that When the determined one or more factors include the driver status, activating the functional upgrade of the in-vehicle navigation system for the determined one or more factors further includes: Personalize the language preference or voice preference of the in-vehicle navigation system.

9. A vehicle navigation evaluation and upgrade system for a vehicle, the system comprising: An information acquisition module, the information acquisition module being configured to acquire functional information about information quality, system quality or interaction quality of an in-vehicle navigation system of the vehicle; an information analysis module, the information analysis module being configured to analyze the acquired information to obtain the user's trust in the vehicle navigation system; an information processing module, the information processing module being configured to determine whether the user's trust in the in-vehicle navigation system is low in combination with the user's intention to use the in-vehicle navigation system; A function upgrade module, wherein the function upgrade module is configured to: In the case of low confidence, determining one or more factors in the acquired information that cause the confidence level to be low; and A functional upgrade of the in-vehicle navigation system is activated in response to the determined one or more factors.

10. The system according to claim 9, characterized in that The information acquisition module is further configured to: The monitored driver status information is acquired, wherein the user's trust in the in-vehicle navigation system is analyzed based on the functional information and the driver status information.

11. The system according to claim 9, characterized in that The information quality indicates a perceived availability of map information, the system quality indicates a perceived network latency, and the interaction quality indicates a perceived ease of interaction with the in-vehicle navigation system.

12. The system according to claim 10, characterized in that The driver status information includes the driver's emotional state, the driver's fatigue state or the driver's distraction state.

13. The system of claim 9, wherein: The function upgrade module is further configured to: When the one or more factors determined include information quality, Upgrading the ordinary vehicle map of the vehicle navigation system to a high-precision map; or Communicatively coupled with the cloud control platform to obtain centralized routing capabilities; Upgrading 4G vehicle-to-vehicle connectivity to 5G vehicle-to-vehicle connectivity when the determined one or more factors include system quality; Prioritizing voice interactions when the determined one or more factors include quality of the interaction; and When the determined one or more factors include the driver's state, the language preference or voice preference of the in-vehicle navigation system is personalized and adjusted.

14. A vehicle with an on-board navigation evaluation and upgrade function, the vehicle comprising: The vehicle navigation evaluation and upgrade system according to any one of claims 9 to 13; A data recorder for collecting and providing functional information about information quality, system quality or interaction quality of the vehicle's vehicle navigation system to the vehicle navigation evaluation and upgrade system; as well as A visual sensor is used to collect and provide driver status information to the vehicle-mounted navigation evaluation and upgrade system.

15. A computer-readable storage medium storing instructions, which, when executed, cause a vehicle to perform the method according to any one of claims 1 to 8.

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