Location sharing frequency adjustment method and device, electronic equipment and vehicle

Abstract

The invention provides a position sharing frequency adjustment method and device, electronic equipment and a vehicle, and is applied to the field of intelligent vehicle control, and the method comprises the steps: responding to a received position sharing frequency adjustment instruction sent by a user, and obtaining vehicle data; determining a user adjustment coefficient and a to-be-adjusted frequency based on the vehicle data; and adjusting the to-be-adjusted frequency by using the user adjustment coefficient to obtain the target frequency of the position sharing, thereby solving the technical problem that the position sharing frequency of the vehicle in the motorcade is not determined from the perspective of the user in the prior art, and achieving the purpose that the position sharing of the vehicle and the sharing willingness of the user are in dynamic balance.

Description

Technical Field

[0001] The present application relates to the field of intelligent vehicle control, and in particular to a frequency adjustment method, device, electronic equipment and vehicle for location sharing. Background Art

[0002] Self-driving tours have become a popular choice for holiday travel. Compared with single-vehicle travel, traveling in a convoy is popular due to its mutual assistance and social nature. However, while the location sharing of vehicles in a convoy provides convenience, it also raises concerns about users' willingness to share. Summary of the invention

[0003] In view of this, the purpose of the present application is to propose a method, device, electronic device and vehicle for adjusting the frequency of location sharing, so as to overcome the technical problem in the prior art that the frequency of location sharing of vehicles in a fleet is not determined from the user's perspective.

[0004] Based on the above purpose, the present application provides a method for adjusting the frequency of location sharing, including: in response to receiving a frequency adjustment instruction for location sharing issued by a user, obtaining vehicle data, and objectively evaluating and determining the location sharing frequency adapted to the user through the vehicle data. Based on the vehicle data, determine the user adjustment coefficient and the frequency to be adjusted, ensuring the rationality of the user adjustment coefficient and the frequency to be adjusted. Use the user adjustment coefficient to adjust the frequency to be adjusted to obtain the target frequency of the location sharing, thereby achieving the purpose of correcting the location sharing frequency according to the user's preference, and achieving the purpose of dynamically balancing the vehicle's location sharing and the user's willingness to share.

[0005] Optionally, the vehicle data includes current user image data and historical vehicle usage data; determining the user adjustment coefficient based on the vehicle data includes: determining the user's current willingness to share based on the current user image data, and determining a first sharing score based on the willingness to share; determining a second sharing score based on the historical vehicle usage data; and determining the user adjustment coefficient based on the first sharing score and the second sharing score. Since the determination of the first sharing score and the second sharing score are both based on the user's perspective, it is ensured that the user adjustment coefficient can reflect the user's willingness to share, thereby making the determined user adjustment coefficient accurate.

[0006] Optionally, the historical vehicle usage data includes multiple positive sharing data and multiple negative sharing data of the user in the fleet; determining the second sharing score based on the historical vehicle usage data includes: for each positive sharing data, determining the first score corresponding to the positive sharing data according to a pre-constructed correspondence between the sharing data and the score; for each negative sharing data, determining the second score corresponding to the negative sharing data according to the correspondence between the sharing data and the score; calculating the second sharing score based on all the first scores and all the second scores, and the second sharing score can accurately reflect the user's sharing willingness.

[0007] Optionally, the historical vehicle usage data also includes the daily driving data of the user; the determining the second sharing score based on the historical vehicle usage data includes: for each daily driving data, inputting the daily driving data into a pre-trained score prediction model, and outputting a third score corresponding to the daily driving data through the score prediction model; and calculating the second sharing score based on all third scores. Since the determined third score is efficient and accurate, the second sharing score determined based on the third score is also efficient and accurate. In addition, the third score is determined by the sharing behavior data of the user when driving the vehicle on a daily basis, so the third score can accurately reflect the user's willingness to share.

[0008] Optionally, determining the user's current willingness to share based on the current user image data includes: determining the user's emotional score based on the current user image data; and determining the willingness to share based on the emotional score. The user's emotional score can reflect the user's cooperation, and then determine the way to determine the willingness to share, so as to avoid disturbing the user when the user's cooperation is relatively low, which is conducive to improving user satisfaction. The willingness to share can intuitively reflect the user's willingness to share.

[0009] Optionally, determining the willingness to share based on the emotion score includes: in response to determining that the emotion score is greater than or equal to a predetermined emotion score, generating and displaying an inquiry message; in response to receiving feedback information of the inquiry message, determining the willingness to share based on the feedback information; in response to determining that the emotion score is less than a predetermined emotion score, determining the willingness to share according to a pre-constructed correspondence between emotion and willingness. The process of determining willingness takes into account the user's cooperation. On the one hand, the willingness to share is determined from multiple angles to ensure the accuracy of the willingness to share; on the other hand, in the case of relatively low user cooperation, it avoids disturbing the user and improves the user's experience.

[0010] Optionally, the vehicle data also includes the role information of the vehicle in the fleet and the road condition information of the vehicle to be driven; the determination of the frequency to be adjusted based on the vehicle data includes: determining the first frequency corresponding to the role information in a pre-constructed correspondence between the role and the frequency; determining the second frequency corresponding to the road condition information to be driven in a pre-constructed correspondence between the road condition and the frequency; and determining the frequency to be adjusted based on the first frequency and the second frequency. This embodiment comprehensively considers the role of the vehicle in the fleet and the road condition on which the vehicle is driven to determine the frequency to be adjusted, thereby ensuring the comprehensiveness and accuracy of the determined frequency to be adjusted.

[0011] Based on the same inventive concept, the present application also provides a frequency adjustment device for location sharing, including: an acquisition module, configured to acquire vehicle data in response to receiving a frequency adjustment instruction for location sharing issued by a user; a determination module, configured to determine a user adjustment coefficient and a frequency to be adjusted based on the vehicle data; an adjustment module, configured to adjust the frequency to be adjusted using the user adjustment coefficient to obtain the target frequency of the location sharing.

[0012] Based on the same inventive concept, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable by the processor, wherein the processor implements the method as described above when executing the computer program.

[0013] Based on the same inventive concept, the present application also provides a vehicle, which includes the electronic device.

[0014] As can be seen from the above, the frequency adjustment method, device, electronic device and vehicle for location sharing provided by the present application obtain vehicle data in response to receiving a frequency adjustment instruction for location sharing issued by a user. Based on the vehicle data, the user adjustment coefficient is determined and the frequency to be adjusted is determined. From the user's perspective, the user adjustment coefficient is determined by using data in the vehicle data that can reflect the user's willingness to share, so that the determined user adjustment coefficient is reasonable. From the vehicle's perspective, the frequency to be adjusted is determined by using data in the vehicle data that can reflect objective information, ensuring the rationality of the frequency to be adjusted. In addition, the determination of the user adjustment coefficient and the frequency to be adjusted does not require manual operation by the user, which not only ensures the automation of the above process, but also eliminates the irrationality of the data caused by manual adjustment by the user. The frequency to be adjusted is adjusted using the user adjustment coefficient to obtain the target frequency of the location sharing. Since the user adjustment coefficient is determined using vehicle data that can reflect the user's willingness to share, the frequency to be adjusted is adjusted using the user adjustment coefficient, so as to achieve the purpose of correcting the location sharing frequency according to the user's preference, avoid ignoring the user's feelings when determining the target frequency, and achieve the purpose of the vehicle's location sharing and the user's willingness to share in a dynamic balance. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present application or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 A schematic diagram of a flow chart of a frequency adjustment method for location sharing according to an embodiment of the present application;

[0017] Figure 2 A schematic diagram of a flow chart of a frequency adjustment method for location sharing according to another embodiment of the present application;

[0018] Figure 3 A schematic diagram of the structure of a frequency adjustment device for location sharing according to an embodiment of the present application;

[0019] Figure 4 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0021] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present application should be the usual meanings understood by people with ordinary skills in the field to which the present application belongs. The "first", "second" and similar words used in the embodiments of the present application do not represent any order, quantity or importance, but are only used to distinguish different components. "Including" or "comprising" and similar words mean that the elements or objects appearing in front of the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0022] As mentioned in the background technology section, with the gradual popularization of private cars, more and more families choose to drive cars for self-driving tours, among which fleet self-driving tours are an important type of self-driving tours. Compared with single-car travel, fleet travel is very popular because of its mutual assistance and social nature. In order to prevent vehicles in the fleet from falling behind due to various situations such as traffic lights, slow driving speed, being blocked by other vehicles, or traffic accidents, vehicles need to share their locations. However, while sharing vehicle location information within the fleet provides convenience, it also raises concerns about protecting users' willingness to share.

[0023] In the prior art, vehicles usually share their locations in a fleet at a default frequency. However, the above default frequency does not take the user's perspective into consideration. If the user is unwilling to share their location at the above default frequency, the vehicle will still share its location at the default frequency, which not only reduces the user's satisfaction, but also causes a conflict between the frequency of location sharing and the user's willingness to share.

[0024] In view of this, the present application embodiment proposes a frequency adjustment method for location sharing, referring to Figure 1 , including the following steps:

[0025] Step 101 : acquiring vehicle data in response to receiving a frequency adjustment instruction for location sharing issued by a user.

[0026] In this step, when the vehicles form a convoy and travel, in order to ensure that the vehicles do not fall behind, the vehicles need to share their locations. In the prior art, location sharing is usually performed at the default frequency. However, different users have different needs. Some users have a relatively high willingness to share, and may feel that sharing the location at the default frequency leads to relatively little communication with other vehicles, and thus generate a need to increase the frequency of location sharing. Some users have a relatively low willingness to share, and may feel that sharing the location at the default frequency exposes too much of their information, and thus generate a need to lower the frequency of location sharing. Exemplarily, when the default frequency is 5 seconds, users with a high willingness to share may think that the default frequency is relatively low, and users with a low willingness to share may think that the default frequency is relatively high. Therefore, in order to ensure that the vehicle does not fall behind, it is very necessary to adjust the frequency of location sharing from the user's perspective. The user can issue a frequency adjustment instruction for location sharing according to actual needs to adjust the frequency of location sharing of the vehicle in the convoy. Among them, the actual needs can be the needs generated by the user to improve communication with other vehicles, or the needs generated by the user to reduce communication with other vehicles. The sharing frequency of the vehicle is adjusted according to the needs generated by the user to meet the user's needs, thereby improving the user's car experience. The above frequency adjustment command can be issued in the form of voice or by the user clicking on the car display screen. After receiving the frequency adjustment command for location sharing issued by the user, the vehicle data is obtained, wherein the vehicle data includes fleet data and data associated with the user's sharing willingness. When the frequency adjustment command issued by the user is received, it means that the user has a need for frequency adjustment. Only then is the vehicle data obtained. The vehicle data can be used to objectively evaluate and determine the location sharing frequency that is suitable for the user.

[0027] It should be noted that if the vehicle has not agreed to the privacy agreement after receiving the frequency adjustment instruction, the user must be guided to agree to the above privacy agreement before the vehicle data can be obtained, ensuring that the above operation is carried out under the user's permission and ensuring the user's right to know and privacy. Among them, the privacy agreement is an agreement that clarifies the minimum frequency of location information sharing within the fleet during self-driving tours.

[0028] Step 102: Determine a user adjustment coefficient and a frequency to be adjusted based on the vehicle data.

[0029] In this step, since the vehicle data includes data that can reflect the user's willingness to share, the user adjustment coefficient is determined by analyzing the above vehicle data. From the user's perspective, the user adjustment coefficient is determined using the data in the vehicle data that can reflect the user's willingness to share, so that the determined user adjustment coefficient is reasonable. Among them, the user adjustment coefficient is a coefficient for adjusting the frequency of location sharing determined from the user's perspective. The vehicle data also includes fleet data. Since the frequency of vehicle location sharing needs to be adjusted, the frequency to be adjusted needs to be determined through the fleet data. The frequency to be adjusted can be directly read from the fleet data, or the frequency to be adjusted can be calculated based on the fleet data. Among them, the frequency to be adjusted is the frequency of location sharing to be adjusted determined by at least one frequency. From the vehicle's perspective, the frequency to be adjusted is determined using data in the vehicle data that can reflect objective information, ensuring the rationality of the frequency to be adjusted. In addition, the determination of the user adjustment coefficient and the frequency to be adjusted does not require manual operation by the user, which not only ensures the automation of the above process, but also eliminates the irrationality of the data caused by manual adjustment by the user.

[0030] Step 103: Use the user adjustment coefficient to adjust the frequency to be adjusted to obtain the target frequency for location sharing.

[0031] In this step, the frequency to be adjusted is adjusted by the user adjustment coefficient to obtain the target frequency. After the target frequency is determined, the vehicle shares its position in the fleet according to the target frequency. The dynamic adjustment of the frequency to be adjusted by the user adjustment coefficient ensures that the user's willingness to share can be effectively reflected in the target frequency. Since the user adjustment coefficient is determined using vehicle data that can reflect the user's willingness to share, the frequency to be adjusted using the user adjustment coefficient achieves the purpose of correcting the location sharing frequency according to the user's preferences, avoids ignoring the user's feelings when determining the target frequency, and achieves the purpose of dynamically balancing the vehicle's location sharing and the user's willingness to share.

[0032] Through the above scheme, in response to receiving a frequency adjustment instruction for location sharing issued by a user, vehicle data is obtained, and the location sharing frequency adapted to the user can be objectively evaluated and determined through the vehicle data. Based on the vehicle data, the user adjustment coefficient and the frequency to be adjusted are determined, ensuring that the user adjustment coefficient and the frequency to be adjusted are reasonable. The frequency to be adjusted is adjusted using the user adjustment coefficient to obtain the target frequency of the location sharing, thereby achieving the purpose of correcting the location sharing frequency according to the user's preferences, and achieving the purpose of dynamically balancing the vehicle's location sharing and the user's willingness to share.

[0033] Since the frequency to be adjusted needs to be adjusted using the user adjustment coefficient, the following embodiment specifically describes how to determine the user adjustment coefficient based on vehicle data.

[0034] In some embodiments, the vehicle data includes current user image data and historical vehicle usage data; determining the user adjustment coefficient based on the vehicle data includes: determining the user's current willingness to share based on the current user image data, and determining a first sharing score based on the willingness to share; determining a second sharing score based on the historical vehicle usage data; and determining the user adjustment coefficient based on the first sharing score and the second sharing score.

[0035] In this embodiment, the vehicle data includes the current user image data, which can reflect the user's expression. By analyzing the user's expression, the user's current degree of cooperation can be reflected. The degree of cooperation determines the way to determine the sharing willingness based on the current user image data. Exemplarily, if the user's expression is a relaxed expression, it means that the user's degree of cooperation is relatively high at this time, and the sharing willingness can be determined with the help of the user; if the user's expression is an angry expression, it means that the user's degree of cooperation is relatively low at this time, and the sharing willingness can be avoided by the help of the user. According to the user's degree of cooperation, the way to determine the first sharing score is determined, and then the first sharing score is determined. The determination of the first sharing score takes into account the user's current willingness to share, ensuring that the determination of the first sharing score is close to the user's preferences, so that the subsequent determination of the user adjustment coefficient based on the first sharing score is accurate. Based on the historical vehicle use data, the second sharing score is determined. The historical vehicle use data is data that can reflect the user's historical sharing willingness. The determination of the second sharing score takes into account the user's historical sharing willingness. The determination of the second sharing score is based on the user's perspective, so that the subsequent determination of the user adjustment coefficient based on the second sharing score is accurate.

[0036] Based on the first sharing score and the second sharing score, the user adjustment coefficient can be automatically determined. Based on the first sharing score and the second sharing score, the specific process of determining the user adjustment coefficient is: calculating the sum of the first sharing score and the second sharing score, and determining the user adjustment coefficient corresponding to the sum value according to the pre-constructed correspondence between the sum value and the coefficient. The correspondence between the sum value and the score can be stored in the form of a table, and the correspondence between the sum value and the user adjustment coefficient is determined according to a predetermined rule and stored in the table. Exemplarily, the user adjustment coefficient corresponding to 0 points is 0, the user adjustment coefficient corresponding to 1-2 points is 1.0, the user adjustment coefficient corresponding to 3-4 points is 2.0, the user adjustment coefficient corresponding to 5-6 points is 3.0, the user adjustment coefficient corresponding to 7-8 points is 4.0, and the user adjustment coefficient corresponding to 9-10 points is 5.0, etc. Since the determination of the first sharing score and the second sharing score is based on the user's perspective, it is ensured that the user adjustment coefficient can reflect the user's willingness to share, thereby making the determined user adjustment coefficient accurate.

[0037] The user adjustment coefficient is determined by the first sharing score and the second sharing score. The following embodiment specifically describes how to determine the second sharing score based on the historical vehicle usage data.

[0038] In some embodiments, the historical vehicle usage data includes multiple positive sharing data and multiple negative sharing data of the user in the fleet; determining the second sharing score based on the historical vehicle usage data includes: for each positive sharing data, determining the first score corresponding to the positive sharing data according to a pre-constructed correspondence between the sharing data and the score; for each negative sharing data, determining the second score corresponding to the negative sharing data according to the correspondence between the sharing data and the score; and calculating the second sharing score based on all the first scores and all the second scores.

[0039] In this embodiment, the historical data includes multiple positive sharing data and multiple negative sharing data of the user in the fleet. Positive sharing data is the behavior data that reflects the user's willingness to share, wherein the positive sharing data includes punch-in data, sharing data and guiding data, and the punch-in data includes assembly point punch-in data and preset waypoint punch-in data. Specifically, the assembly point punch-in data is the punch-in data of each vehicle assembly point of the user during the fleet journey, wherein the assembly point is the place where the fleet vehicles need to be temporarily gathered, such as the vehicle in the fleet set by the team leader for repair, waiting for the lagging vehicle to follow up; the preset waypoint punch-in data is the punch-in operation of each preset waypoint of the user during the fleet journey, wherein the waypoint is the interest point scheduled to stay for entertainment, accommodation, dining, and shopping on the preset route; the sharing data is the operation of the user sharing pictures or videos with locations through the reservation applet during the journey; the guiding data is the operation of actively initiating the guidance of the lagging vehicle in the reservation travel application during the journey and successfully guiding the lagging vehicle. Negative sharing data is the behavior data that reflects the user's refusal to share. Negative sharing data includes stop sharing data and reject guidance data. Specifically, stop sharing data refers to the user actively clicking the button to temporarily stop location sharing in the travel booking application; reject guidance data refers to the user's vehicle falling behind and rejecting other users' active guidance requests.

[0040] For each positive shared data, the first score corresponding to the positive shared data is determined according to the pre-constructed correspondence between the shared data and the score. The correspondence between the shared data and the score can be stored in the form of a table, and the correspondence between the shared data and the score is determined according to a predetermined rule and stored in the table. Exemplarily, in the case where the positive shared data is the assembly point punch-in data, the score corresponding to the assembly point punch-in data is increased by 1 point; in the case where the positive shared data is the preset waypoint punch-in data, the score corresponding to the preset waypoint punch-in data is increased by 1 point; in the case where the positive shared data is the sharing data, if the sharing data is the sharing image, the score corresponding to the sharing data is increased by 1 point, if the sharing data is the sharing video, the score corresponding to the sharing score is increased by 2 points; in the case where the positive shared data is the guidance data, the score corresponding to the guidance data is increased by 3 points. The first score is obtained through the positive sharing data of the user in the fleet, and the positive sharing data can reflect the positive sharing behavior of the user, so that the determination of the first score can reflect the positive sharing intention of the user.

[0041] For each negative shared data, the second score corresponding to the negative shared data is determined according to the corresponding relationship between the shared data and the score. Exemplarily, when the negative shared data is stop sharing data, the score corresponding to stop sharing data is reduced by 2 points; when the negative shared data is reject guidance data, the score corresponding to reject guidance data is reduced by 1 point. The second score is obtained through the negative sharing data of the user in the fleet. The negative sharing data can reflect the negative sharing behavior of the user, and thus the determination of the second score can reflect the negative sharing intention of the user.

[0042] The second sharing score is calculated based on all the first scores and all the second scores. As the user's vehicle usage behavior in the fleet changes, the positive sharing data and the negative sharing data are in dynamic change. Therefore, the first score and the second score are also in dynamic change. Each time a frequency adjustment instruction is received from the user, the obtained second sharing score and the user adjustment coefficient obtained by the second sharing score are also in dynamic change. In order to make the data reasonable and avoid over-sharing and under-sharing, normalization processing can be used to limit the positive sharing data and the negative sharing data to a certain range to prevent the second sharing score from being too large or too small, resulting in an unreasonable user adjustment coefficient. Normalization processing can be achieved through the following formula:

[0043]

[0044] Among them, normalized_score is the normalized score, which is between 0 and 5, original_score is the first score or the second score, min_score is the minimum score, and max_score is the maximum score. It should be noted that if the maximum score and the minimum score in the above formula are the same, the second shared score is determined to be 0.

[0045] The specific process of calculating the second sharing score is: normalizing each first score and each second score respectively, calculating the first sum of all normalized first scores, and calculating the second sum of all normalized second scores, and subtracting the second sum from the first sum to obtain the second sharing score. The second sharing score is determined by the positive sharing data and negative sharing data of the user in the fleet. The positive sharing data and the negative sharing data are dynamically changing, so that the second sharing score is dynamically changing. When the user wants to re-determine the frequency of position sharing of the vehicle in the fleet, the second sharing score can always accurately reflect the user's sharing intention.

[0046] The above embodiment illustrates that, when the historical vehicle use data includes multiple positive shared data and multiple negative shared data of the user in the fleet, the first score and the second score are determined by the pre-constructed correspondence between the shared data and the score, and the second shared score is calculated based on the first score and the second score. However, there are other calculation methods for the second shared score. The following embodiment specifically illustrates that, when the historical data is the user's daily driving data, the third score can also be determined by the pre-trained score prediction model, and the second shared score can be calculated based on the third score.

[0047] In some embodiments, the historical vehicle usage data also includes the user's daily driving data; determining the second shared score based on the historical vehicle usage data includes: for each daily driving data, inputting the daily driving data into a pre-trained score prediction model, and outputting a third score corresponding to the daily driving data through the score prediction model; and calculating the second shared score based on all the third scores.

[0048] In this embodiment, the historical data also includes the user's daily driving data, which is the shared behavior data of the user when driving the vehicle on a daily basis. Exemplarily, the daily driving data is music sharing data, which is the operation of the user sharing music to other vehicles through the car display screen; the daily driving data is a data upload operation, which is the operation of the user agreeing to upload more than a predetermined amount of data to the cloud. Since the amount of data of the user's daily driving data is relatively large and the types are relatively many, the daily driving data is processed using a pre-trained score prediction model. For each daily driving data, the daily driving data is input into the score prediction model, and the third score corresponding to the daily driving data is output through the score prediction model, which improves the accuracy and efficiency of determining the third score. The third score includes positive numbers, 0 and negative numbers. Based on all the third scores, the second shared score is calculated. In order to make the second shared score reasonable, the third score can also be normalized. The specific process of calculating the second shared score is: normalize each third score, calculate the sum of all the normalized third scores, and obtain the second shared score. Since the determined third score is efficient and accurate, the second sharing score determined based on the third score is also efficient and accurate. In addition, the third score is determined by the user's sharing behavior data during daily driving of the vehicle, so the third score can accurately reflect the user's sharing willingness.

[0049] The determination of the user adjustment coefficient uses the first sharing score and the second sharing score. The above two embodiments illustrate the method of determining the second sharing score. The following embodiments specifically illustrate the method of calculating the sharing willingness involved in determining the first sharing score.

[0050] In some embodiments, determining the user's current willingness to share based on the current user image data includes: determining the user's emotion score based on the current user image data; and determining the willingness to share based on the emotion score.

[0051] In this embodiment, the user's emotion score is determined based on the current user image data. The specific process is: for each current user image data, the current user image data is input into a pre-trained emotion score model, and the emotion score corresponding to the current user image data is output through the emotion score model. The user's emotion score can reflect the user's cooperation, and then determine the way to determine the willingness to share, so as to avoid disturbing the user when the user's cooperation is relatively low, which is conducive to improving user satisfaction. The willingness to share can intuitively reflect the user's willingness to share.

[0052] The method for determining the degree of willingness to share is further refined through the following embodiments.

[0053] In some embodiments, determining the willingness to share based on the emotion score includes: in response to determining that the emotion score is greater than or equal to a predetermined emotion score, generating and displaying an inquiry message; in response to receiving feedback information of the inquiry message, determining the willingness to share based on the feedback information; in response to determining that the emotion score is less than a predetermined emotion score, determining the willingness to share according to a pre-constructed correspondence between emotion and willingness.

[0054] In this embodiment, when the emotion score is greater than the predetermined emotion score, it means that the user's cooperation is relatively high. Therefore, the inquiry information is generated and displayed, and a small amount of guiding behavior for the user is added to make the determination of the willingness to share more accurate. Exemplarily, the inquiry information can be a questionnaire, and the questions in the questionnaire are: the willingness to share the location is scored from 1 to 10 points. The questions in the questionnaire can also be: the user's willingness to share a specific scenic spot or regional location during the journey is scored from 1 to 10 points. The scoring option clicked by the user is the feedback information of the inquiry information. Based on the feedback information, the willingness to share is determined. The specific process is: the willingness to share corresponding to the feedback information is determined according to the pre-constructed corresponding relationship between feedback and willingness. By directly inquiring the user, the feedback information is obtained, and the willingness to share is determined by the feedback information through the corresponding relationship between feedback and willingness, so as to achieve the purpose of directly and accurately determining the willingness to share. When the emotion score is less than the predetermined emotion score, it means that the user's cooperation is relatively low. At this time, there is no need to disturb the user, and the willingness to share is determined according to the pre-constructed corresponding relationship between emotion and willingness. The process of determining willingness takes into account the user's cooperation. On the one hand, the willingness to share is determined from multiple angles to ensure its accuracy. On the other hand, when the user's cooperation is relatively low, it avoids disturbing the user and improves the user experience.

[0055] In another embodiment provided by the present application, before the query information is generated and displayed, the current weather information of the vehicle is obtained; based on the weather information, the current solar altitude information is determined; based on the solar altitude information, the brightness of the vehicle's display interface is adjusted. Since the road conditions are changeable when the vehicles are traveling in a convoy, in order to ensure that the user can always clearly operate the display interface, before the user operates the display interface, the brightness of the vehicle's display interface needs to be adjusted according to the solar altitude information, ensuring that the user can always clearly operate the display interface, wherein the display interface can be a vehicle computer display screen.

[0056] In order to adjust the frequency to be adjusted by using the user adjustment coefficient, the frequency to be adjusted needs to be determined. The following embodiment specifically describes how to determine the frequency to be adjusted.

[0057] In some embodiments, the vehicle data also includes role information of the vehicle in the fleet and road condition information of the vehicle to be driven; determining the frequency to be adjusted based on the vehicle data includes: determining a first frequency corresponding to the role information in a pre-constructed correspondence between roles and frequencies; determining a second frequency corresponding to the road condition information to be driven in a pre-constructed correspondence between road conditions and frequencies; and determining the frequency to be adjusted based on the first frequency and the second frequency.

[0058] In this embodiment, in the prior art, in order to prevent the vehicles in the fleet from falling behind, the location is usually shared according to the default frequency, but the above default frequency may not meet the user's sharing intention. Therefore, the frequency of determining the location sharing must not only meet the user's sharing intention, but also meet the vehicle's not falling behind. In order to ensure that the vehicle does not fall behind, it is very necessary to reasonably set the frequency to be adjusted. Since the vehicle needs to play a role in the fleet, each role has different tasks, and thus the frequency of location sharing is different. For example, when the role of the vehicle is the captain, the vehicle has a leading role and needs to share the location with other vehicles at a relatively high frequency. Therefore, the frequency to be adjusted can be determined according to the role the vehicle plays in the fleet. In addition, the vehicle may be traveling in different road conditions, and the speed of the vehicle traveling in different road conditions is not the same. For example, if the vehicle is traveling on a highway, it can travel a relatively long distance in a relatively short time, and it needs to share the location with other vehicles at a relatively high frequency. Therefore, the frequency to be adjusted can be determined according to the road conditions on which the vehicle is traveling. This application comprehensively considers the role of the vehicle in the fleet and the road conditions on which the vehicle is traveling, and determines the frequency to be adjusted, so that the source of the frequency to be adjusted is not single, ensuring the rationality of the frequency to be adjusted. It should be noted that the method of determining the frequency to be adjusted can also be expanded.

[0059] The first frequency corresponding to the role information is determined in the pre-constructed correspondence between the role and the frequency. The correspondence between the role and the frequency ensures that the vehicle does not fall behind and that the tasks undertaken by the role of the vehicle are smoothly performed. The correspondence between the role information and the first frequency can be stored in the form of a table, and the correspondence between the role information and the first frequency is determined according to a predetermined rule and stored in the table. Exemplarily, when the role information of the vehicle is the captain, the current location is shared once every 3 seconds by default; when the role information of the vehicle is the squad leader, the current location is shared once every 6 seconds by default; when the role information of the vehicle is a pathfinder, the current location is shared once every 6 seconds by default; when the role information of the vehicle is an ordinary team member, the current location is shared once every 30 seconds by default; when the role information of the vehicle is a logistics team member, the current location is shared once every 15 seconds by default; when the role information of the vehicle is a rescuer team member, the current location is shared once every 10 seconds by default. It should be noted that, since the role information of the vehicle is the captain, team leader, pathfinder and rescuer, the above vehicles undertake certain tasks in the team, and the frequency of the newly determined location sharing must be greater than or equal to the default frequency so that the location of the above vehicles can be determined in time. If the frequency of the newly determined location sharing is less than the default frequency, the frequency of the newly determined location sharing is determined as the default frequency. The frequency of the newly determined location sharing does not affect the overall travel demand of the vehicle, and takes into account the dynamic balance of the location information demand between the team and individual vehicles.

[0060] The second frequency corresponding to the role information is determined in the pre-constructed correspondence between the road condition and the frequency, and the correspondence between the road condition and the frequency ensures that the vehicle does not fall behind under different road conditions. The correspondence between the road condition information and the second frequency can be stored in the form of a table, and the correspondence between the road condition information and the second frequency is determined according to a predetermined rule and stored in the table. Exemplarily, when the road condition information of the vehicle is a highway, the current position is shared once every 10 seconds by default; when the road condition information of the vehicle is a first-class highway, the current position is shared once every 20 seconds by default; when the road condition information of the vehicle is a second-class highway, the current position is shared once every 30 seconds by default; when the road condition information of the vehicle is a third-class highway, the current position is shared once every 40 seconds by default; when the road condition information of the vehicle is a fourth-class highway, the current position is shared once every 50 seconds by default; when the road condition information of the vehicle is an off-road road, the current position is shared once every 5 seconds by default.

[0061] The frequency to be adjusted is determined based on the first frequency and the second frequency. The specific process is: calculating the sum of the first frequency and the second frequency to obtain the frequency to be adjusted.

[0062] It should be noted that after determining the frequency to be adjusted, the user adjustment coefficient is used to adjust the frequency to be adjusted to obtain the target frequency. The target frequency is determined by the following formula:

[0063]

[0064] Among them, usfc is the target frequency, fac is the user adjustment coefficient, rpsfd+resfd is the frequency to be adjusted, rpsfd is the first frequency, resfd is the second frequency, and nopcs is the total number of ways to determine the frequency.

[0065] This embodiment comprehensively considers the role of the vehicle in the fleet and the road conditions on which the vehicle is traveling to determine the frequency to be adjusted, thereby ensuring the rationality, comprehensiveness and accuracy of the determined frequency to be adjusted.

[0066] In another embodiment provided in the present application, Figure 2 As shown, step 201: receiving the frequency adjustment instruction of location sharing issued by the user, and obtaining vehicle data; step 202: determining the sharing score based on the vehicle data; step 203: determining the user adjustment coefficient based on the sharing score; step 204: obtaining the frequency determined according to the role of the vehicle in the fleet; step 205: obtaining the frequency determined according to the road conditions on which the vehicle is traveling; step 206: determining the frequency to be adjusted according to the frequency determined by the role of the vehicle in the fleet and the frequency determined according to the road conditions on which the vehicle is traveling, and adjusting the frequency to be adjusted using the user adjustment coefficient; step 207: sharing location information according to the adjusted frequency; step 208: the dynamic calculation of the location information sharing frequency ends. This embodiment determines the frequency of location sharing of the vehicle in the fleet from the user's perspective, so as to achieve the purpose of dynamically balancing the location sharing of the vehicle and the sharing willingness of the user.

[0067] It should be noted that the method of the embodiment of the present application can be performed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present application, and the multiple devices will interact with each other to complete the described method.

[0068] It should be noted that the above describes some embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0069] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a frequency adjustment device for location sharing.

[0070] refer to Figure 3 , the frequency adjustment device for location sharing comprises:

[0071] The acquisition module 10 is configured to acquire vehicle data in response to receiving a frequency adjustment instruction for location sharing issued by a user.

[0072] The determination module 20 is configured to determine a user adjustment coefficient and a frequency to be adjusted based on the vehicle data.

[0073] The adjustment module 30 is configured to adjust the frequency to be adjusted by using the user adjustment coefficient to obtain the target frequency of the location sharing.

[0074] Through the above device, in response to receiving a frequency adjustment instruction for location sharing issued by a user, vehicle data is obtained, and the location sharing frequency adapted to the user can be objectively evaluated and determined through the vehicle data. Based on the vehicle data, the user adjustment coefficient and the frequency to be adjusted are determined, ensuring that the user adjustment coefficient and the frequency to be adjusted are reasonable. The frequency to be adjusted is adjusted using the user adjustment coefficient to obtain the target frequency of the location sharing, thereby achieving the purpose of correcting the location sharing frequency according to the user's preferences, and achieving the purpose of dynamically balancing the vehicle's location sharing and the user's willingness to share.

[0075] In some embodiments, the determination module 20 is further configured so that the vehicle data includes current user image data and historical vehicle usage data; based on the current user image data, the user's current willingness to share is determined, and based on the willingness to share, a first sharing score is determined; based on the historical vehicle usage data, a second sharing score is determined; and based on the first sharing score and the second sharing score, the user adjustment coefficient is determined.

[0076] In some embodiments, the determination module 20 is further configured such that the historical vehicle usage data includes multiple positive sharing data and multiple negative sharing data of the user in the fleet; for each positive sharing data, a first score corresponding to the positive sharing data is determined according to a pre-constructed correspondence between the sharing data and the score; for each negative sharing data, a second score corresponding to the negative sharing data is determined according to the correspondence between the sharing data and the score; and the second sharing score is calculated based on all the first scores and all the second scores.

[0077] In some embodiments, the determination module 20 is further configured so that the historical vehicle usage data also includes the user's daily driving data; for each daily driving data, the daily driving data is input into a pre-trained score prediction model, and a third score corresponding to the daily driving data is output through the score prediction model; based on all the third scores, the second shared score is calculated.

[0078] In some embodiments, the determination module 20 is further configured to determine the user's emotion score based on the current user image data; and determine the sharing willingness based on the emotion score.

[0079] In some embodiments, the determination module 20 is further configured to generate and display an inquiry message in response to determining that the emotion score is greater than or equal to a predetermined emotion score; in response to receiving feedback information of the inquiry message, determine the willingness to share based on the feedback information; in response to determining that the emotion score is less than a predetermined emotion score, determine the willingness to share according to a pre-constructed correspondence between emotion and willingness.

[0080] In some embodiments, the determination module 20 is further configured such that the vehicle data also includes role information of the vehicle in the fleet and road condition information of the vehicle to be driven; a first frequency corresponding to the role information is determined in a pre-constructed correspondence between role and frequency; a second frequency corresponding to the road condition information to be driven is determined in a pre-constructed correspondence between road condition and frequency; and the frequency to be adjusted is determined based on the first frequency and the second frequency.

[0081] For the convenience of description, the above device is described in terms of functions divided into various modules. Of course, when implementing the present application, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0082] The device of the above embodiment is used to implement the frequency adjustment method of location sharing corresponding to any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0083] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the frequency adjustment method for location sharing as described in any of the above embodiments is implemented.

[0084] Figure 4 A more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other through the bus 1050 in the device.

[0085] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0086] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0087] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0088] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0089] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0090] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiments of the present specification, and does not necessarily include all the components shown in the figure.

[0091] The electronic device of the above embodiment is used to implement the frequency adjustment method of location sharing corresponding to any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0092] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the location-sharing frequency adjustment method described in any of the above embodiments.

[0093] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0094] The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the frequency adjustment method for location sharing as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0095] Based on the same concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a computer program product, including computer program instructions. When the computer program instructions are run on a computer, the computer executes the frequency adjustment method for location sharing as described in any of the above embodiments, which has the beneficial effects of the corresponding method embodiments and will not be repeated here.

[0096] It should be noted that the embodiments of the present application can be further described in the following manner:

[0097] It is understandable that before using the technical solutions of each embodiment of the present disclosure, the type, scope of use, usage scenarios, etc. of the personal information involved will be informed to the user in an appropriate manner, and the user's authorization will be obtained.

[0098] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly remind the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can independently choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0099] As an optional but non-limiting implementation, in response to receiving the user's active request, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0100] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0101] A person skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present application is limited to these examples. In line with the concept of the present application, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of simplicity.

[0102] In addition, to simplify the description and discussion, and in order not to make the embodiments of the present application difficult to understand, the known power supply / ground connection with the integrated circuit (IC) chip and other components may or may not be shown in the provided drawings. In addition, the device can be shown in the form of a block diagram to avoid making the embodiments of the present application difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform to be implemented in the embodiments of the present application (that is, these details should be fully within the scope of understanding of those skilled in the art). In the case of elaborating specific details (e.g., circuits) to describe exemplary embodiments of the present application, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details or when these specific details are changed. Therefore, these descriptions should be considered to be illustrative rather than restrictive.

[0103] Although the present application has been described in conjunction with specific embodiments of the present application, many replacements, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0104] The embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the present application. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present application should be included in the protection scope of the present application.

Claims

1. A frequency adjustment method for location sharing, characterized in that: include: In response to receiving a frequency adjustment instruction for location sharing issued by a user, acquiring vehicle data; Based on the vehicle data, determining a user adjustment coefficient and determining a frequency to be adjusted; The frequency to be adjusted is adjusted using the user adjustment coefficient to obtain the target frequency for location sharing.

2. The method according to claim 1, characterized in that The vehicle data includes current user image data and historical vehicle usage data; The determining of the user adjustment coefficient based on the vehicle data includes: Determining a user's current sharing willingness based on the current user image data, and determining a first sharing score based on the sharing willingness; Determining a second sharing score based on the historical vehicle usage data; The user adjustment factor is determined based on the first sharing score and the second sharing score.

3. The method according to claim 2, characterized in that The historical vehicle usage data includes a plurality of positive sharing data and a plurality of negative sharing data of the user in the vehicle fleet; The determining a second sharing score based on the historical vehicle usage data includes: For each forward shared data, determine a first score corresponding to the forward shared data according to a pre-constructed correspondence relationship between the shared data and the score; For each negative shared data, determine a second score corresponding to the negative shared data according to a corresponding relationship between the shared data and the score; The second shared score is calculated based on all the first scores and all the second scores.

4. The method according to claim 2, characterized in that: The historical vehicle usage data also includes the user's daily driving data; The determining a second sharing score based on the historical vehicle usage data includes: For each daily driving data, input the daily driving data into a pre-trained score prediction model, and output a third score corresponding to the daily driving data through the score prediction model; The second sharing score is calculated based on all the third scores.

5. The method according to claim 2, characterized in that: The determining the user's current sharing willingness based on the current user image data includes: Determining an emotion score of the user based on the current user image data; Based on the sentiment score, the sharing willingness is determined.

6. The method according to claim 5, characterized in that The determining the sharing willingness based on the emotion score includes: In response to determining that the emotion score is greater than or equal to a predetermined emotion score, generating and displaying a query message; In response to receiving feedback information of the inquiry information, determining the sharing willingness based on the feedback information; In response to determining that the emotion score is less than a predetermined emotion score, the sharing willingness is determined according to a pre-constructed correspondence relationship between emotion and willingness.

7. The method according to claim 1, characterized in that The vehicle data also includes the role information of the vehicle in the fleet and the road condition information of the vehicle to be driven; The step of determining the frequency to be adjusted based on the vehicle data includes: Determining a first frequency corresponding to the role information in a pre-constructed correspondence relationship between roles and frequencies; Determining a second frequency corresponding to the road condition information to be driven in a pre-constructed correspondence relationship between road conditions and frequencies; The frequency to be adjusted is determined based on the first frequency and the second frequency.

8. A frequency adjustment device for location sharing, characterized in that: include: An acquisition module is configured to acquire vehicle data in response to receiving a frequency adjustment instruction for location sharing issued by a user; A determination module, configured to determine a user adjustment coefficient and a frequency to be adjusted based on the vehicle data; The adjustment module is configured to adjust the frequency to be adjusted by using the user adjustment coefficient to obtain the target frequency of the location sharing.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

10. A vehicle, characterized in that: Includes the device according to claim 8 or the electronic device according to claim 9.

Images