Method and apparatus for adjusting frequency of location sharing, electronic device and vehicle

Abstract

The application provides a position sharing frequency adjustment method and device, electronic equipment and vehicle, which are applied to the field of intelligent vehicle control. The method comprises the following steps: in response to receiving a position sharing frequency adjustment instruction issued by a user, acquiring vehicle data; based on the vehicle data, determining a user adjustment coefficient and determining a to-be-adjusted frequency; and adjusting the to-be-adjusted frequency by using the user adjustment coefficient to obtain a target frequency of the position sharing. The technical problem that the position sharing frequency of the vehicle in the vehicle team is not determined from the perspective of the user in the prior art is solved, and the purpose that the position sharing of the vehicle and the sharing intention of the user are in dynamic balance is achieved.

Description

TECHNICAL FIELD

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

[0002] Driving a vehicle for self-driving tour has become a popular choice for holiday travel. Compared with single vehicle travel, traveling in a vehicle team is popular due to its mutual assistance and sociality. However, the position sharing of vehicles in a vehicle team, while providing convenience, also raises concerns about the user's sharing willingness. SUMMARY

[0003] In view of the above, the purpose of the present application is to provide a position sharing frequency adjustment method, device, electronic equipment and vehicle to overcome the technical problem that the existing technology does not determine the position sharing frequency of the vehicle in the vehicle team from the user's perspective.

[0004] To achieve the above purpose, the present application provides a position sharing frequency adjustment method, comprising: in response to receiving a position sharing frequency adjustment instruction issued by a user, obtaining vehicle data, and determining an objective position sharing frequency adapted to the user through the vehicle data. Based on the vehicle data, a user adjustment coefficient is determined and a to-be-adjusted frequency is determined to ensure that the user adjustment coefficient and the to-be-adjusted frequency are reasonable. The to-be-adjusted frequency is adjusted using the user adjustment coefficient to obtain a target frequency of the position sharing, achieving the purpose of correcting the position sharing frequency according to the user's preference and achieving the purpose of dynamic balance between the position sharing of the vehicle and the user's sharing willingness.

[0005] Optionally, the vehicle data includes current user image data and historical vehicle data; determining a user adjustment coefficient based on the vehicle data includes: determining a user's current sharing willingness degree based on the current user image data, determining a first sharing score based on the sharing willingness degree; determining a second sharing score based on the historical vehicle data; 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 is from the user's perspective, it is ensured that the user adjustment coefficient can reflect the user's sharing willingness, and thus the determined user adjustment coefficient is accurate.

[0006] Optionally, the historical car sharing data comprises a plurality of positive sharing data and a plurality of negative sharing data of the user in the car sharing fleet; and determining the second sharing score based on the historical car sharing data comprises: determining, for each positive sharing data, a first score corresponding to the positive sharing data according to a pre-constructed corresponding relationship between sharing data and scores; determining, for each negative sharing data, a second score corresponding to the negative sharing data according to the corresponding relationship between sharing data and scores; and calculating the second sharing score based on all the first scores and all the second scores, so that the second sharing score can accurately reflect the sharing willingness of the user.

[0007] Optionally, the historical car sharing data further comprises daily driving data of the user; and determining the second sharing score based on the historical car sharing data comprises: inputting, for each daily driving data, 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 the 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 based on the sharing behavior data of the user when driving the vehicle daily, and thus the third score can accurately reflect the sharing willingness of the user.

[0008] Optionally, determining the sharing willingness degree of the user based on the current user image data comprises: determining an emotion score of the user based on the current user image data; and determining the sharing willingness degree based on the emotion score. Through the emotion score of the user, the cooperation degree of the user can be reflected, and thus the manner of determining the sharing willingness degree is determined, so as to avoid disturbing the user when the cooperation degree of the user is relatively low, and to improve the user satisfaction. Through the sharing willingness degree, the sharing willingness of the user can be directly reflected.

[0009] Optionally, determining the sharing willingness degree based on the emotion score comprises: in response to determining that the emotion score is greater than or equal to a predetermined emotion score, generating and displaying inquiry information; in response to receiving feedback information of the inquiry information, determining the sharing willingness degree based on the feedback information; and in response to determining that the emotion score is less than the predetermined emotion score, determining the sharing willingness degree according to a pre-constructed corresponding relationship between emotions and willingness degrees. The process of determining the willingness degree takes into account the cooperation degree of the user, on the one hand, the sharing willingness degree is determined from multiple angles to ensure the accuracy of the sharing willingness degree; and on the other hand, in the case that the cooperation degree of the user is relatively low, the user is avoided from being disturbed, and the user experience is improved.

[0010] Optionally, the vehicle data further comprises role information of the vehicle in a vehicle fleet and road condition information to be traveled by the vehicle; and the determining the to-be-adjusted frequency based on the vehicle data comprises: determining a first frequency corresponding to the role information in a pre-constructed role-frequency correspondence relationship; determining a second frequency corresponding to the road condition information to be traveled in a pre-constructed road condition-frequency correspondence relationship; and determining the to-be-adjusted frequency based on the first frequency and the second frequency. This embodiment comprehensively considers the role of the vehicle in the vehicle fleet and the road condition to be traveled by the vehicle, and determines the to-be-adjusted frequency, thereby ensuring the comprehensiveness and accuracy of the determined to-be-adjusted frequency.

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

[0012] Based on the same inventive concept, the present application further provides an electronic device comprising 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 further provides a vehicle comprising the electronic device.

[0014] From the above, the position sharing frequency adjustment method, device, electronic equipment and vehicle provided by the application can obtain vehicle data in response to receiving the position sharing frequency adjustment instruction issued by the user. Based on the vehicle data, the user adjustment coefficient is determined and the frequency to be adjusted is determined. From the perspective of the user, the user adjustment coefficient is determined by using the data in the vehicle data that can reflect the user's sharing intention, so that the determined user adjustment coefficient is reasonable. From the perspective of the vehicle, the frequency to be adjusted is determined by using the data in the vehicle data that can reflect objective information, so as to ensure 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 of the user, which not only ensures the automation of the above process, but also eliminates the irrationality of the data caused by manual adjustment of the user. The target frequency of the position sharing is obtained by adjusting the frequency to be adjusted by using the user adjustment coefficient. Since the user adjustment coefficient is determined by using the vehicle data that can reflect the user's sharing intention, the adjustment of the frequency to be adjusted by using the user adjustment coefficient achieves the purpose of correcting the position sharing frequency according to the user's preference, avoids ignoring the user's feelings when determining the target frequency, and achieves the purpose of dynamically balancing the position sharing of the vehicle and the sharing intention of the user. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the application or related art, the drawings needed to be used in the embodiments or related art description will be briefly introduced. Obviously, the drawings in the following description are only embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0016] Figure 1 The flowchart of the position sharing frequency adjustment method of the embodiment of the application is shown.

[0017] Figure 2 The flowchart of the position sharing frequency adjustment method of another embodiment of the application is shown.

[0018] Figure 3 The structure diagram of the position sharing frequency adjustment device of the embodiment of the application is shown.

[0019] Figure 4 The hardware structure diagram of the electronic equipment of the embodiment of the application is shown. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of the application more clear, the application will be further described in detail below with reference to specific embodiments and drawings.

[0021] It should be noted that, unless otherwise defined, technical terms or scientific terms used in the embodiments of the present application shall have the common meaning understood by one of ordinary skill in the art to which the embodiments of the present application belong. The terms "first", "second", and similar terms used in the embodiments of the present application do not denote any order, quantity, or importance, but are merely used to distinguish different components. The terms "include", "contain", and similar terms mean that the elements or objects before the terms encompass the elements or objects listed after the terms and their equivalents, and do not exclude other elements or objects. The terms "connect" or "connected" and similar terms do not mean physical or mechanical connection, but can include electrical connection, whether direct or indirect. The terms "upper", "lower", "left", "right", and the like are merely used to represent relative positional relationships, and when the absolute positions of the described objects change, the relative positional relationships can also change accordingly.

[0022] As described in the background section, with the gradual popularization of private cars, more and more families choose to drive cars for self-driving tours, among which car team self-driving tours are an important type of self-driving tours. Compared with single-vehicle travel, car team travel is popular due to its mutual assistance and sociality. In order to avoid the vehicles in the car team from falling behind due to various situations such as traffic lights, slow driving speed, being blocked by other vehicles, or traffic accidents, the vehicles need to share positions. However, while providing convenience, the sharing of position information of vehicles in the car team also raises concerns about the protection of users' sharing willingness.

[0023] In the prior art, vehicles usually share positions in the car team at a default frequency, but the above default frequency does not take the user's perspective into account. If the user does not want to share positions at the above default frequency, the vehicle still shares positions at the default frequency, which not only reduces the user's satisfaction, but also causes a conflict between the frequency of position sharing and the user's sharing willingness.

[0024] Therefore, the embodiments of the present application propose a frequency adjustment method for position sharing, which, with reference to Figure 1 , comprises the following steps:

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

[0026] In this step, when the vehicle travels in a vehicle group, in order to ensure that the vehicle does not fall behind, the vehicle needs to share the position. In the prior art, the position is usually shared at a default frequency. However, different users have different needs, some users have a relatively high sharing intention, and they may feel that the default frequency of position sharing leads to relatively less communication with other vehicles, and they have the need to adjust the frequency of position sharing. Some users have a relatively low sharing intention, and they may feel that the default frequency of position sharing exposes too much information about themselves, and they have the need to adjust the frequency of position sharing. For example, in the case of a default frequency of 5 seconds, users with a high sharing intention may consider the default frequency to be relatively low, and users with a low sharing intention may consider the default frequency to be relatively high. Therefore, under the condition of ensuring that the vehicle does not fall behind, it is necessary to adjust the frequency of position sharing from the user's perspective. The user can issue a frequency adjustment instruction for position sharing according to the actual needs, so as to adjust the frequency of position sharing of the vehicle in the vehicle group. The actual needs can be the needs of the user to improve communication with other vehicles, or the needs of the user to reduce communication with other vehicles. By adjusting the sharing frequency of the vehicle according to the needs of the user, the purpose of meeting the needs of the user is achieved, and the user's driving experience is improved. The above frequency adjustment instruction can be issued in the form of voice, or can be issued by the user clicking the display screen of the car machine. After receiving the frequency adjustment instruction for position sharing issued by the user, the vehicle data is obtained, wherein the vehicle data includes vehicle group data and data associated with the sharing intention of the user. In the case of receiving the frequency adjustment instruction issued by the user, it indicates that the user has the need for frequency adjustment, and the vehicle data is obtained at this time, and the position sharing frequency suitable for the user can be objectively evaluated and determined through the vehicle data.

[0027] It should be noted that if the vehicle has not agreed to the privacy agreement after receiving the frequency adjustment instruction, the user needs to be guided to agree to the above privacy agreement before the vehicle data can be obtained, so as to ensure that the above operation is carried out under the permission of the user, and to ensure the user's right to know and privacy. The privacy agreement is an agreement that clearly defines the minimum frequency of position information sharing in the vehicle group during the self-driving tour.

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

[0029] In this step, since the vehicle data includes data capable of embodying the user's sharing intention, by analyzing the above vehicle data, the user adjustment coefficient is determined. From the user's perspective, the user adjustment coefficient is determined by using the data capable of embodying the user's sharing intention in the vehicle data, so that the determined user adjustment coefficient is reasonable. The user adjustment coefficient is a coefficient for adjusting the frequency of location sharing from the user's perspective. The vehicle data also includes fleet data, and since the frequency of location sharing of the vehicle needs to be adjusted, the frequency to be adjusted also 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 according to the fleet data. The frequency to be adjusted is the frequency of location sharing to be adjusted determined by at least one frequency. From the perspective of the vehicle, the frequency to be adjusted is determined by using the data capable of embodying objective information in the vehicle data, which ensures the reasonableness 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] In step 103, the user adjustment coefficient is used to adjust the frequency to be adjusted to obtain the target frequency of location sharing.

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

[0032] Through the above scheme, in response to receiving the frequency adjustment instruction of location sharing issued by the user, the vehicle data is obtained, and the frequency of location sharing adapted to the user can be objectively evaluated and determined through the vehicle data. Based on the vehicle data, the user adjustment coefficient is determined and the frequency to be adjusted is determined, which ensures that the user adjustment coefficient and the frequency to be adjusted are reasonable. The user adjustment coefficient is used to adjust the frequency to be adjusted to obtain the target frequency of location sharing, which achieves the purpose of correcting the frequency of location sharing according to the user's preference, and achieves the purpose of dynamically balancing the location sharing of the vehicle and the sharing intention of the user.

[0033] Since the user adjustment coefficient needs to be used to adjust the frequency to be adjusted, the following embodiments will specifically illustrate how to determine the user adjustment coefficient based on the vehicle data.

[0034] In some embodiments, the vehicle data comprises current user image data and historical use data; and determining the user adjustment coefficient based on the vehicle data comprises: determining a current sharing willingness of the user based on the current user image data, determining a first sharing score based on the current sharing willingness, determining a second sharing score based on the historical use data, and determining the user adjustment coefficient based on the first sharing score and the second sharing score.

[0035] In the present embodiment, the vehicle data comprises current user image data, which can reflect the expression of the user. By analyzing the expression of the user, the current cooperation degree of the user can be reflected, and the manner of determining the sharing willingness based on the current user image data is determined by the cooperation degree. For example, if the expression of the user is a relaxed expression, it indicates that the cooperation degree of the user is relatively high at this time, and the sharing willingness can be determined by the assistance of the user at this time; if the expression of the user is an angry expression, it indicates that the cooperation degree of the user is relatively low at this time, and the sharing willingness is avoided to be determined by the assistance of the user. According to the cooperation degree of the user, the determination manner of 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 current sharing willingness of the user, which ensures that the determination of the first sharing score is close to the user's preference, and then the determination of the user adjustment coefficient based on the first sharing score has accuracy. The second sharing score is determined based on the historical use data, and the historical use data is data that can reflect the historical sharing willingness of the user. The determination of the second sharing score takes into account the historical sharing willingness of the user, and the determination of the second sharing score is from the perspective of the user, which makes the determination of the user adjustment coefficient based on the second sharing score have accuracy.

[0036] 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 based on the first sharing score and the second sharing score is: calculating the sum of the first sharing score and the second sharing score, and determining the user adjustment coefficient corresponding to the sum according to the pre-constructed corresponding relationship between the sum and the coefficient. The corresponding relationship between the sum and the score can be stored in the form of a table, and the corresponding relationship between the sum and the user adjustment coefficient is determined according to a predetermined rule and stored in the table. For example, 0 points correspond to a user adjustment coefficient of 0, 1-2 points correspond to a user adjustment coefficient of 1.0, 3-4 points correspond to a user adjustment coefficient of 2.0, 5-6 points correspond to a user adjustment coefficient of 3.0, 7-8 points correspond to a user adjustment coefficient of 4.0, and 9-10 points correspond to a user adjustment coefficient of 5.0. Since the determination of the first sharing score and the second sharing score is from the perspective of the user, it is ensured that the user adjustment coefficient can reflect the sharing willingness of the user, and then the determined user adjustment coefficient has accuracy.

[0037] The user adjustment coefficient is determined by the first sharing score and the second sharing score. The following embodiments specifically illustrate how to determine the second sharing score based on historical car sharing data.

[0038] In some embodiments, the historical car sharing data includes a plurality of positive sharing data and a plurality of negative sharing data of the user in the car fleet; and the determining the second sharing score based on the historical car sharing data comprises: determining, for each positive sharing data, a first score corresponding to the positive sharing data according to a pre-constructed corresponding relationship between sharing data and scores; determining, for each negative sharing data, a second score corresponding to the negative sharing data according to the corresponding relationship between sharing data and scores; 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 a plurality of positive sharing data and a plurality of negative sharing data of the user in the car fleet. The positive sharing data is behavior data embodying the user's willingness to share, wherein the positive sharing data includes check-in data, sharing data and guiding data, and the check-in data further includes check-in data at a gathering point and check-in data at a preset passing point. Specifically, the check-in data at the gathering point is check-in data of the user at each vehicle gathering point in the car fleet during the car fleet trip, wherein the gathering point is a place where the vehicles in the car fleet temporarily gather for repair, waiting for the follow-up of the lagging vehicles, etc. The check-in data at the preset passing point is check-in operation of the user at each preset passing point during the car fleet trip, wherein the passing point is an interest point on the preset route that is scheduled to stop for sightseeing, accommodation, catering and shopping. The sharing data is an operation of the user sharing a picture or a video with a location through a predetermined applet during the trip. The guiding data is an operation of the user actively initiating guiding a lagging vehicle in a predetermined travel application and successfully guiding the lagging vehicle during the trip. The negative sharing data is behavior data embodying the user's refusal to share. The negative sharing data includes stop sharing data and refusal to guide data. Specifically, the stop sharing data is an operation of the user actively clicking a button to temporarily stop location sharing in the predetermined travel application. The refusal to guide data is an operation of the user refusing an active guiding request of other users after the user's vehicle lags behind.

[0040] For each positive sharing data, a first score corresponding to the positive sharing data is determined according to a pre-constructed correspondence between sharing data and scores. The correspondence between sharing data and scores can be stored in a table form, and the correspondence between sharing data and scores is determined according to a predetermined rule and stored in the table. For example, when the positive sharing data is a checkpoint-in data of a gathering point, the score corresponding to the checkpoint-in data of the gathering point is increased by 1; when the positive sharing data is a checkpoint-in data of a preset passing point, the score corresponding to the checkpoint-in data of the preset passing point is increased by 1; when the positive sharing data is sharing data, if the sharing data is a shared image, the score corresponding to the sharing data is increased by 1, and if the sharing data is a shared video, the score corresponding to the sharing data is increased by 2; when the positive sharing data is guide data, the score corresponding to the guide data is increased by 3. The first score is obtained through the positive sharing data of the user in the fleet, the positive sharing data can reflect the positive sharing behavior of the user, and thus the determination of the first score can reflect the positive sharing intention of the user.

[0041] For each negative sharing data, a second score corresponding to the negative sharing data is determined according to the correspondence between sharing data and scores. For example, when the negative sharing data is stop sharing data, the score corresponding to the stop sharing data is decreased by 2; when the negative sharing data is refuse guide data, the score corresponding to the refuse guide data is decreased by 1. 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] Based on all the first scores and all the second scores, a second sharing score is calculated. As the user's driving behavior in the fleet changes, the positive sharing data and the negative sharing data are in dynamic change, and thus the first score and the second score are also in dynamic change, and thus the second sharing score obtained each time the frequency adjustment instruction issued by the user is received, and the user adjustment coefficient obtained through the second sharing score are also in dynamic change. In order to make the data reasonable and avoid the situation of excessive sharing and insufficient sharing, the positive sharing data and the negative sharing data can be limited in a certain range by normalization processing to prevent the second sharing score from being too large or too small, resulting in unreasonable user adjustment coefficient. The normalization processing can be realized by the following formula:

[0043]

[0044] wherein, normalized_score is a normalized score 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 sharing score is determined as 0.

[0045] The specific process of calculating the second sharing score is: normalizing each first score and each second score respectively, calculating a first sum value of all normalized first scores, and calculating a second sum value of all normalized second scores, and then subtracting the second sum value from the first sum value to obtain the second sharing score. The second sharing score is determined by the positive sharing data and the negative sharing data of the user in the vehicle team. The positive sharing data and the negative sharing data are dynamically changed, and thus the second sharing score is dynamically changed. When the user wants to re-determine the position sharing of the vehicle in the vehicle team, the second sharing score can always accurately reflect the sharing intention of the user.

[0046] The above embodiments illustrate that, in the case that the historical vehicle data includes multiple positive sharing data and multiple negative sharing data of the user in the vehicle team, the first score and the second score are determined through the pre-constructed corresponding relationship between the sharing data and the score, and the second sharing score is calculated based on the first score and the second score. However, there are other methods for calculating the second sharing score. The following embodiments specifically illustrate that, in the case that the historical data is the daily driving data of the user, the third score can also be determined through a pre-trained score prediction model, and the second sharing score is calculated based on the third score.

[0047] In some embodiments, the historical vehicle data further includes daily driving data of the user; and the determining the second sharing score based on the historical vehicle data comprises: inputting each daily driving data into a pre-trained score prediction model, 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.

[0048] In the embodiment, the historical data further includes daily driving data of the user, and the daily driving data is shared behavior data of the user when driving the vehicle daily. For example, the daily driving data is music sharing data, and the music sharing data is an operation of sharing music by the user through the vehicle machine display screen to other vehicles; the daily driving data is a data uploading operation, and the data uploading operation is an operation of the user agreeing to upload more than a predetermined amount of data to the cloud. Since the daily driving data of the user has a relatively large amount of data and a relatively large number of types, the daily driving data is processed by using the pre-trained score prediction model. For each daily driving data, the daily driving data is input into the score prediction model, and a third score corresponding to the daily driving data is output by the score prediction model, thereby improving the accuracy and efficiency of determining the third score. The third score includes a positive number, 0 and a negative number. Based on all the third scores, a second sharing score is calculated, and the third score can also be normalized to make the second sharing score reasonable. The specific process of calculating the second sharing score is that: the third score is normalized, the sum of all the third scores after normalization is calculated, and the second sharing score is obtained. Since the determined third score has high efficiency and accuracy, the second sharing score determined based on the third score also has high efficiency and accuracy. In addition, the third score is determined by the shared behavior data of the user when driving the vehicle daily, and therefore, the third score can accurately reflect the sharing intention of the user.

[0049] The determination of the user adjustment coefficient uses the first sharing score and the second sharing score, the method for determining the second sharing score is illustrated in the above two embodiments, and the calculation method of the sharing intention degree participating in the determination of the first sharing score is specifically illustrated in the following embodiments.

[0050] In some embodiments, the determining, based on the current user image data, the sharing intention degree of the user currently includes: determining, based on the current user image data, an emotion score of the user; and determining, based on the emotion score, the sharing intention degree.

[0051] In the embodiment, the emotion score of the user is determined based on the current user image data, and the specific process is that: for each current user image data, the current user image data is input into a pre-trained emotion score model, and an emotion score corresponding to the current user image data is output by the emotion score model. Through the emotion score of the user, the cooperation degree of the user can be reflected, and then the manner of determining the sharing intention degree is determined, so as to avoid disturbing the user when the cooperation degree of the user is relatively low, and to be beneficial to the improvement of the user satisfaction. Through the sharing intention degree, the sharing intention of the user can be directly reflected.

[0052] The method for determining the sharing intention degree is further refined through the following embodiments.

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

[0054] In this embodiment, when the emotion score is greater than the predetermined emotion score, it indicates that the user's cooperation degree is relatively high, and therefore, the inquiry information is generated and displayed to increase the guiding behavior of the user by a small amount, so as to make the determination of the sharing willingness degree more accurate. For example, the inquiry information can be a questionnaire, and the question in the questionnaire is: the willingness degree of location sharing is selected according to a 1-10 score. The question in the questionnaire can also be: the user's sharing willingness for a specific scenic spot or area location in the journey is scored by 1-10. The score selection item clicked by the user is the feedback information of the inquiry information. Based on the feedback information, the sharing willingness degree is determined, and the specific process is: the corresponding sharing willingness degree of the feedback information is determined according to the pre-constructed corresponding relationship between feedback and willingness degree. Through directly inquiring the user, the feedback information is obtained, and then the feedback information is used to determine the sharing willingness degree through the corresponding relationship between feedback and willingness degree, so as to directly and accurately determine the sharing willingness degree. When the emotion score is less than the predetermined emotion score, it indicates that the user's cooperation degree is relatively low, and at this time, the user does not need to be disturbed, and the sharing willingness degree is determined according to the pre-constructed corresponding relationship between emotion and willingness degree. The process of determining the willingness degree takes into account the user's cooperation degree, on the one hand, the sharing willingness degree is determined from multiple angles to ensure the accuracy of the sharing willingness degree; on the other hand, in the case where the user's cooperation degree is relatively low, the user is not disturbed, and the user experience is improved.

[0055] In another embodiment provided in the present application, before the inquiry information is generated and displayed, current weather information of the vehicle is acquired; based on the weather information, current sun elevation angle information is determined; and based on the sun elevation angle information, the display interface of the vehicle is adjusted in brightness. Since the road conditions are changeable when the vehicle is traveling in a group, in order to ensure that the user can always clearly operate the display interface, the display interface of the vehicle needs to be adjusted in brightness according to the sun elevation angle information before the user operates the display interface, so that the user can always clearly operate the display interface, wherein the display interface can be a car machine display screen.

[0056] The to-be-adjusted frequency is also determined by using the user adjustment coefficient to adjust the to-be-adjusted frequency, and how to determine the to-be-adjusted frequency is specifically described through the following embodiments.

[0057] In some embodiments, the vehicle data further comprises role information of the vehicle in the vehicle group and road condition information to be traveled by the vehicle; and determining the to-be-adjusted frequency based on the vehicle data comprises: determining a first frequency corresponding to the role information in a pre-constructed role-frequency correspondence relationship; determining a second frequency corresponding to the road condition information to be traveled in a pre-constructed road condition-frequency correspondence relationship; and determining the to-be-adjusted frequency based on the first frequency and the second frequency.

[0058] In the prior art, in order to prevent the vehicles in the vehicle group from falling behind, the position sharing is usually performed at a default frequency. However, the default frequency may not meet the sharing intention of the user. Therefore, the frequency of position sharing needs to meet both the sharing intention of the user and the requirement that the vehicles do not fall behind. In order to ensure that the vehicles do not fall behind, it is necessary to reasonably set the to-be-adjusted frequency. Since the vehicles need to assume roles in the vehicle group, the tasks assumed by each role are different, and thus the frequency of position sharing is different. For example, when the vehicle assumes the role of the group leader, the vehicle needs to share the position with other vehicles at a relatively high frequency. Therefore, the to-be-adjusted frequency can be determined according to the role assumed by the vehicle in the vehicle group. In addition, the vehicle may travel in different road conditions, and the vehicle speed is different in different road conditions. For example, if the vehicle travels on a highway, a relatively short time can travel a relatively long distance, and the vehicle needs to share the position with other vehicles at a relatively high frequency. Therefore, the to-be-adjusted frequency can be determined according to the road condition traveled by the vehicle. The present application comprehensively considers the role assumed by the vehicle in the vehicle group and the road condition traveled by the vehicle to determine the to-be-adjusted frequency, so that the source of the to-be-adjusted frequency is not single, and the rationality of the to-be-adjusted frequency is ensured. It should be noted that the way of determining the to-be-adjusted frequency can also be extended.

[0059] The first frequency corresponding to the role information is determined in a pre-established correspondence between roles and frequencies. The correspondence between roles and frequencies ensures that the vehicle does not fall behind and that the tasks assumed by the role of the vehicle are smoothly fulfilled. 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. For example, when the role information of the vehicle is the overall team leader, the current position is shared every 3 seconds by default; when the role information of the vehicle is the team leader, the current position is shared every 6 seconds by default; when the role information of the vehicle is the pathfinder, the current position is shared every 6 seconds by default; when the role information of the vehicle is the ordinary team member, the current position is shared every 30 seconds by default; when the role information of the vehicle is the logistics team member, the current position is shared every 15 seconds by default; and when the role information of the vehicle is the rescuer team member, the current position is shared every 10 seconds by default. It should be noted that since the vehicle assumes certain tasks in the team when the role information of the vehicle is the overall team leader, the team leader, the pathfinder, and the rescuer team member, the newly determined position sharing frequency needs to be greater than or equal to the default frequency in order to determine the position of the vehicle in time. If the newly determined position sharing frequency is less than the default frequency, the newly determined position sharing frequency is determined as the default frequency. The newly determined position sharing frequency does not affect the overall travel demand of the vehicle, and the dynamic balance of the position information demand between the team and the individual vehicle is also taken into account.

[0060] The second frequency corresponding to the role information is determined in a pre-established correspondence between road conditions and frequencies. The correspondence between road conditions and frequencies ensures that the vehicle does not fall behind in 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. For example, when the road condition information of the vehicle is a highway, the current position is shared every 10 seconds by default; when the road condition information of the vehicle is a first-class road, the current position is shared every 20 seconds by default; when the road condition information of the vehicle is a second-class road, the current position is shared every 30 seconds by default; when the road condition information of the vehicle is a third-class road, the current position is shared every 40 seconds by default; when the road condition information of the vehicle is a fourth-class road, the current position is shared every 50 seconds by default; and when the road condition information of the vehicle is an off-road road, the current position is shared every 5 seconds by default.

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

[0062] It should be noted that after the to-be-adjusted frequency is determined, the to-be-adjusted frequency is adjusted by using the user adjustment coefficient to obtain a target frequency, and the target frequency is determined by the following formula:

[0063]

[0064] Wherein, usfc is the target frequency, fac is the user adjustment coefficient, rpsfd+resfd is the to-be-adjusted frequency, rpsfd is the first frequency, resfd is the second frequency, and nopcs is the total number of the determined frequency modes.

[0065] The embodiment comprehensively considers the role of the vehicle in the vehicle team and the road condition on which the vehicle travels, determines the to-be-adjusted frequency, and ensures the rationality, comprehensiveness and accuracy of the determined to-be-adjusted frequency.

[0066] In another embodiment provided in the application, as shown in the following figure, Figure 2 Step 201: receiving the frequency adjustment instruction of the position sharing issued by the user, and obtaining vehicle data; Step 202: determining a sharing score based on the vehicle data; Step 203: determining a user adjustment coefficient based on the sharing score; Step 204: obtaining the frequency determined according to the role of the vehicle in the vehicle team; Step 205: obtaining the frequency determined according to the road condition on which the vehicle travels; Step 206: determining the to-be-adjusted frequency according to the frequency determined according to the role of the vehicle in the vehicle team and the frequency determined according to the road condition on which the vehicle travels, and adjusting the to-be-adjusted frequency by using the user adjustment coefficient; Step 207: sharing the position information according to the adjusted frequency; and Step 208: ending the dynamic calculation of the position information sharing frequency. The embodiment determines the position sharing frequency of the vehicle in the vehicle team from the perspective of the user, so as to achieve the purpose that the position sharing of the vehicle and the sharing willingness of the user are in dynamic balance.

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

[0068] It is to be understood that the foregoing description is directed to embodiments of the application. Various embodiments are described herein, including the best mode of the inventors. It will be apparent, however, to those skilled in the art having the benefit of this disclosure, that variations and / or modifications of these embodiments can be made without departing from the spirit and scope of the application. Accordingly, it is intended that such variations and / or modifications be included within the scope of the application. It is the intention, therefore, to be limited only as indicated by the scope of the claims appended hereto.

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

[0070] Reference Figure 3 The position sharing frequency adjustment device comprises:

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

[0072] The determination module 20 is configured to determine a user adjustment coefficient and determine 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 a target frequency of position sharing.

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

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

[0076] In some embodiments, the determining module 20 is further configured to determine that the historical car use data comprises a plurality of positive sharing data and a plurality of negative sharing data of the user in the car fleet; for each positive sharing data, determine a first score corresponding to the positive sharing data according to a pre-constructed correspondence between sharing data and score; for each negative sharing data, determine a second score corresponding to the negative sharing data according to the correspondence between sharing data and score; and calculate the second sharing score based on all the first scores and all the second scores.

[0077] In some embodiments, the determining module 20 is further configured to determine that the historical car use data further comprises daily driving data of the user; 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; and calculate the second sharing score based on all the third scores.

[0078] In some embodiments, the determining module 20 is further configured to determine an emotional score of the user based on the current user image data; and determine the sharing willingness degree based on the emotional score.

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

[0080] In some embodiments, the determining module 20 is further configured to determine that the vehicle data further comprises role information of the vehicle in the car fleet and to-be-traveled road condition information of the vehicle; determine a first frequency corresponding to the role information in a pre-constructed correspondence between role and frequency; determine a second frequency corresponding to the to-be-traveled road condition information in a pre-constructed correspondence between road condition and frequency; and determine the to-be-adjusted frequency based on the first frequency and the second frequency.

[0081] For the convenience of description, the above apparatus is described in various modules in terms of functions. Of course, the functions of the modules can be implemented in one or more software and / or hardware in the implementation of the present application.

[0082] The apparatus of the above embodiments is used to implement the corresponding position sharing frequency adjustment method in any of the preceding embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be described here again.

[0083] Corresponding to the method of any of the above embodiments based on the same inventive concept, the application further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for adjusting the frequency of sharing the location as described in any of the above embodiments.

[0084] Figure 4 A more specific hardware structure of an electronic device is shown, which can 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 for communication within the device.

[0085] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits, etc., for executing related programs to implement the technical solutions provided by the embodiments of the present specification.

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

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

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

[0089] Bus 1050 includes a path for transferring information between the various components (e.g., processor 1010, memory 1020, input / output interface 1030, and communication interface 1040) of the device.

[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 can also include other components necessary for normal operation. In addition, those skilled in the art can understand that the above device can also only contain the components necessary to implement the embodiments of the present application, and does not necessarily contain all the components shown in the figure.

[0091] The electronic device of the above embodiment is used to implement the position sharing frequency adjustment method corresponding to any of the above embodiments, and has the beneficial effects of the corresponding method embodiments, which are not repeated here.

[0092] Based on the same inventive concept, the present application also provides a non-transitory computer readable storage medium, which stores computer instructions for causing the computer to execute the position sharing frequency adjustment method according to any of the above embodiments.

[0093] The computer readable medium of the present embodiment includes permanent and non-permanent, removable and non-removable media, which can be realized by any method or technology to store information. The information can be computer readable instructions, data structures, program modules 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, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape disk storage or other magnetic storage device, or any other non-transmission medium that can be used to store information accessible by a computing device.

[0094] The computer instructions stored in the storage medium of the above embodiment are used to cause the computer to execute the position sharing frequency adjustment method according to any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which are not repeated here.

[0095] Based on the same concept, the present application also provides a computer program product corresponding to the method of any of the above embodiments, comprising computer program instructions, which, when executed on a computer, cause the computer to perform the position sharing frequency adjustment method according to any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which are not described here again.

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

[0097] It can be understood that before using the technical solutions of various embodiments in the present disclosure, the type of personal information involved, the scope of use, the use scenario, etc. will be informed to the user in an appropriate manner, and the authorization of the user will be obtained.

[0098] For example, in response to receiving the user's active request, the user is sent prompt information to explicitly prompt the user that the operation requested to be performed will require the acquisition and use of the user's personal information. Thus, the user can choose whether to provide personal information to the electronic device, application program, server or storage medium, etc. software or hardware that performs the technical solutions of the present disclosure according to the prompt information.

[0099] As an optional but not limited implementation manner, in response to accepting the user's active request, the way of sending prompt information to the user may, for example, be a pop-up window manner, in which the prompt information can be presented in the form of text. In addition, the pop-up window can also carry selection controls for the user to select "agree" or "disagree" to provide personal information to the electronic device.

[0100] It can be understood that the above notification and user authorization process is only illustrative, and does not limit the implementation of the present disclosure, and other ways that meet the relevant laws and regulations can also be applied to the implementation of the present disclosure.

[0101] Those skilled in the art will understand that the discussion of any of the above embodiments is only exemplary and is not intended to imply that the scope of the present application is limited to these examples; under the idea of the present application, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other changes of different aspects of the embodiments of the present application as described above. In order to be brief, they are not provided in detail.

[0102] Additionally, to simplify the description and discussion, and so as not to obscure the embodiments of the application being presented, the well-known functions or constructions of integrated circuit (IC) chips and other components can or can not be shown in the figures and will be omitted as not to unnecessarily obscure the embodiments of the application being presented. Moreover, the devices can be shown in block diagram form in order to avoid obscuring the embodiments of the application, and this also acknowledges the fact that the details in regards to the implementation of such block devices are highly dependent on the platform upon which the embodiments of the application are being implemented (i.e., these details should be well within the purview of one of ordinary skill in the art). Where specific details are set forth in order to describe an illustrative embodiment of the application, it will be apparent to one of ordinary skill in the art that the embodiments of the application can be practiced without, or with variation of, these specific details. Thus, the description is to be considered as illustrative and not restrictive, and the scope of the application should be determined not with reference to the above description, but should be given to the appended claims.

[0103] While the application has been described in connection with specific embodiments thereof, many alternatives, modifications and variations will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) can use the embodiments discussed.

[0104] Embodiments of the application are intended to cover all such alternatives, modifications and variations as falling within the scope of the application. Accordingly, any omission, modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the application should be included in the scope of protection of the application.

Claims

1. A method of position sharing frequency adjustment, characterized in that, The method comprises: in response to receiving a frequency adjustment instruction of position 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; adjusting the frequency to be adjusted by using the user adjustment coefficient to obtain a target frequency of the position sharing; the vehicle data includes current user image data and historical vehicle data; based on the vehicle data, the user adjustment coefficient is determined, which comprises: based on the current user image data, determining the user's current sharing willingness degree, based on the sharing willingness degree, determining a first sharing score; based on the historical vehicle data, a second sharing score is determined, wherein the historical vehicle data includes a plurality of positive sharing data and a plurality of negative sharing data of the user in the vehicle team, the plurality of positive sharing data is the behavior data reflecting the user's willingness to share, and the plurality of negative sharing data is the behavior data reflecting the user's refusal to share; based on the first sharing score and the second sharing score, the user adjustment coefficient is determined.

2. The method of claim 1, wherein, based on the historical vehicle data, the second sharing score is determined, which comprises: for each positive sharing data, a first score corresponding to the positive sharing data is determined according to a pre-constructed corresponding relationship between sharing data and score; for each negative sharing data, a second score corresponding to the negative sharing data is determined according to the corresponding relationship between the sharing data and the score; based on all first scores and all second scores, the second sharing score is calculated.

3. The method of claim 1, wherein, the historical vehicle data also includes the user's daily driving data; based on the historical vehicle data, the second sharing score is determined, which comprises: 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 third scores, the second sharing score is calculated.

4. The method of claim 1, wherein, based on the current user image data, the user's current sharing willingness degree is determined, which comprises: based on the current user image data, the user's emotion score is determined; based on the emotion score, the sharing willingness degree is determined.

5. The method of claim 4, wherein, based on the emotion score, the sharing willingness degree is determined, which comprises: in response to determining that the emotion score is greater than or equal to a predetermined emotion score, generating and displaying inquiry information; in response to receiving feedback information of the inquiry information, determining the sharing willingness degree based on the feedback information; in response to determining that the emotion score is less than a predetermined emotion score, determining the sharing willingness degree according to a pre-constructed corresponding relationship between emotion and willingness degree.

6. The method of claim 1, wherein, the vehicle data also includes role information of the vehicle in the vehicle team and road condition information to be driven of the vehicle; based on the vehicle data, the frequency to be adjusted is determined, which comprises: determining a first frequency corresponding to the role information in a pre-constructed corresponding relationship between role and frequency; determining a second frequency corresponding to the to-be-driven road condition information in a pre-constructed corresponding relationship between road condition and frequency; based on the first frequency and the second frequency, the frequency to be adjusted is determined.

7. A position sharing frequency adjustment apparatus, characterized by, The method comprises: An acquisition module is configured to acquire vehicle data in response to receiving a frequency adjustment instruction of location sharing issued by a user; A determination module is configured to determine a user adjustment coefficient and determine a frequency to be adjusted based on the vehicle data; An adjustment module is configured to adjust the frequency to be adjusted by using the user adjustment coefficient to obtain a target frequency of the location sharing; The vehicle data includes current user image data and historical vehicle data; the determination module is further configured to determine a user's current sharing willingness degree based on the current user image data, and determine a first sharing score based on the sharing willingness degree; determine a second sharing score based on the historical vehicle data, wherein the historical vehicle data includes a plurality of positive sharing data and a plurality of negative sharing data of the user in a vehicle team, the plurality of positive sharing data is behavior data embodying that the user is willing to share, and the plurality of negative sharing data is behavior data embodying that the user refuses to share; and determine the user adjustment coefficient based on the first sharing score and the second sharing score.

8. An electronic device comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, The processor implements the method of any one of claims 1 to 6 when executing the program.

9. A vehicle characterized by comprising: The device of claim 7 or the electronic device of claim 8.

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