Racing track information prompting method and device, vehicle and storage medium

Abstract

The invention relates to a racing track information prompting method and device, a vehicle, a storage medium and a computer program. The method comprises the following steps: determining racing track data information of a target racing track; acquiring vehicle position information; and responding to the matching of the vehicle position information and the first prompt point coordinate of the information prompt point, and sending corresponding prompt information. According to the racing track information prompting method provided for the racing track application scene, the multiple information prompting points are set for the target racing track, the user is helped to conduct corresponding driving control, the user is helped to improve the racing track score, and the racing track racing threshold is lowered.

Description

Technical Field

[0001] The present disclosure relates to the field of intelligent cockpits, and in particular, to a track information prompting method, device, vehicle, computer-readable storage medium, and computer program. Background Art

[0002] As the performance of new energy vehicles becomes stronger and stronger, many vehicle owners have the driving need to enter the track for laps. However, due to the limited track experience of vehicle owners and the large differences in the design difficulties of different tracks. For novice drivers, it takes a long time to adapt to the track, and it is easy to make operation mistakes, affecting the performance and even causing potential safety hazards. Therefore, there is an urgent need for an information prompting method for track application scenarios to provide accurate track operation reminders for drivers, helping them quickly adapt to the track and improve their driving performance. Summary of the Invention

[0003] To overcome the problems in the related art, the present disclosure provides a track information prompting method, device, vehicle, computer-readable storage medium, and computer program.

[0004] According to a first aspect of an embodiment of the present disclosure, there is provided a track information prompting method, the method including: determining track data information of a target track; the track data information includes at least one information prompting point; obtaining vehicle position information; in response to the vehicle position information matching a first prompting point coordinate corresponding to the information prompting point, sending a prompting information corresponding to the information prompting point.

[0005] In some exemplary embodiments of the present disclosure, the determining track data information of a target track includes: determining the track data information of the target track; the track data information includes a reference prompting point coordinate corresponding to the information prompting point; determining a vehicle braking coefficient according to parameter configuration information of the vehicle; adjusting the reference prompting point coordinate according to the vehicle braking coefficient to determine the first prompting point coordinate.

[0006] In some exemplary embodiments of the present disclosure, the determining a vehicle braking coefficient according to parameter configuration information of the vehicle includes: obtaining the parameter configuration information of the vehicle; the parameter configuration information includes at least one configuration parameter; determining a parameter braking coefficient corresponding to each configuration parameter according to a pre-calibrated parameter braking coefficient correspondence; determining the vehicle braking coefficient according to the parameter braking coefficients corresponding to the respective configuration parameters.

[0007] In some exemplary embodiments of the present disclosure, the parameter configuration information includes at least one of: hardware parameters, weather parameters, road surface parameters, driving assistance parameters, and driver evaluation parameters.

[0008] In some exemplary embodiments of the present disclosure, the determining the track data information of the target track includes: obtaining the vehicle position information; determining the target track that matches from the track database according to the vehicle position information; the track database includes the track data information of a plurality of pre-stored tracks.

[0009] In some exemplary embodiments of the present disclosure, the method further includes: obtaining the driving trajectory data of the vehicle; in response to a track addition operation, adding the driving trajectory data to the track database.

[0010] In some exemplary embodiments of the present disclosure, the responding to the vehicle position information matching the first prompt point coordinates corresponding to the information prompt point and sending the prompt information corresponding to the information prompt point includes: obtaining the driving data of the vehicle; adjusting the first prompt point coordinates according to the driving data to obtain the second prompt point coordinates corresponding to the information prompt point; in response to the vehicle position information matching the second prompt point coordinates, sending the prompt information corresponding to the information prompt point.

[0011] In some exemplary embodiments of the present disclosure, the driving data includes: vehicle driving state data and / or driver driving behavior data.

[0012] In some exemplary embodiments of the present disclosure, the information prompt point is an acceleration point, a deceleration point or a braking point.

[0013] In some exemplary embodiments of the present disclosure, the prompt information is voice prompt information and / or screen display information.

[0014] According to a second aspect of the embodiments of the present disclosure, there is provided a track information prompt device, including: a track data unit for determining the track data information of the target track; the track data information includes at least one information prompt point; a positioning unit for obtaining vehicle position information; an information prompt unit for responding to the vehicle position information matching the first prompt point coordinates corresponding to the information prompt point and sending the prompt information corresponding to the information prompt point.

[0015] According to a third aspect of the embodiments of the present disclosure, there is provided a vehicle, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to: implement the steps of any one of the track information prompt methods.

[0016] According to a fourth aspect of the embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by a processor of a terminal, enabling the terminal to execute any one of the track information prompt methods.

[0017] According to a fifth aspect of the embodiments of the present disclosure, there is provided a computer program product including a computer program which, when executed by a processor, implements the track information prompting method described in any one of the above.

[0018] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

[0019] The track information prompting method provided by the present disclosure determines the track data information of a target track; obtains the vehicle position information; and sends a corresponding prompt message in response to the vehicle position information matching the first prompt point coordinates of the information prompt point. This track information prompting method provides multiple information prompt points for the target track to assist in prompting the user to perform corresponding driving operations, helping the user improve the track performance and lowering the threshold of track racing.

[0020] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present disclosure and, together with the specification, are used to explain the principles of the present disclosure.

[0022] Figure 1 is a flowchart of a track information prompting method shown according to an exemplary embodiment of the present disclosure.

[0023] Figure 2 is a flowchart of a first prompt point coordinate determination method shown according to an exemplary embodiment of the present disclosure.

[0024] Figure 3 is a flowchart of a track data information determination method shown according to an exemplary embodiment of the present disclosure.

[0025] Figure 4 is a flowchart of a second prompt point coordinate determination method shown according to an exemplary embodiment of the present disclosure.

[0026] Figure 5 is a schematic diagram of a track scene shown according to an exemplary embodiment of the present disclosure.

[0027] Figure 6 is a block diagram of a track information prompting device shown according to an exemplary embodiment of the present disclosure.

[0028] Figure 7 is a schematic functional block diagram of a vehicle shown according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0029] Some exemplary embodiments of the present disclosure will be described in detail herein, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. Various changes, modifications, and equivalents of the methods, apparatuses, and / or systems described herein will become apparent after understanding the present disclosure. For example, the order of operations described herein is merely an example and is not limited to the orders set forth herein, but may be changed as will become apparent after understanding the present disclosure, except for operations that must be performed in a specific order. Additionally, descriptions of features known in the art may be omitted for the sake of clarity and conciseness.

[0030] The embodiments described in some embodiments of the following exemplary embodiments of the present disclosure do not represent all embodiments consistent with the present invention of the present disclosure. On the contrary, they are merely examples of apparatuses and methods consistent with some aspects of the present invention of the present disclosure as detailed in the appended claims.

[0031] Next, each step of the method in the exemplary embodiments of the present disclosure will be described in more detail in conjunction with the accompanying drawings and embodiments.

[0032] Figure 1 is a flowchart of a track information prompting method shown according to an exemplary embodiment of the present disclosure. Figure 5 is a schematic diagram of a track scenario shown according to an exemplary embodiment of the present disclosure. The method of this embodiment can be applied to electronic devices, including vehicles.

[0033] As Figure 1 , 5 shown, in some embodiments, the track information prompting method of the example of the present disclosure includes:

[0034] In step S110, determine the track data information of the target track; the track data information includes at least one information prompting point.

[0035] In the embodiments of the present disclosure, in response to the user's application requirements for the track scenario, a track database storing multiple pre-stored tracks is set up in the vehicle-mounted system. The user can select the corresponding target track from the track database according to the track to be run. The track data information corresponding to each track is stored in the track database. The track data information includes at least one information prompting point. Each information prompting point corresponds to a prompting point coordinate and a prompting message. The prompting point coordinate is the position coordinate information of the information prompting point, such as the longitude and latitude coordinates of the information prompting point. The prompting message is the information content that the information prompting point needs to prompt the user.

[0036] In an exemplary embodiment, when a vehicle runs laps on a race track, it often needs to make full use of the width of the race track and drive along a specific trajectory to obtain better lap data. Therefore, the race track data information further includes route trajectory data. The route trajectory data is used to record the reference driving trajectory on the race track. The route trajectory data is composed of a number of consecutive driving marker points. The route trajectory data can be generated based on the relevant geometric data of the race track or obtained by recording the actual driving trajectory of a racing driver.

[0037] In an exemplary embodiment, the race track data information may further include other data information related to the race track. For example, the race track name, the race track length, the starting point coordinates of the race track, the ending point coordinates of the race track, the race track width, etc.

[0038] In an exemplary embodiment, as Figure 5 shown, the information prompt point can be an acceleration point, a deceleration point, or a braking point. The acceleration point is a prompt point for sending an acceleration information to the user. The deceleration point is a prompt point for sending a deceleration prompt information to the user. The braking point is a prompt point for sending a braking information to the user.

[0039] In step S120, vehicle position information is obtained.

[0040] In the embodiments of the present disclosure, during the driving process of the vehicle on the race track, vehicle position information of the vehicle is obtained. The vehicle position information can be represented by longitude and latitude coordinates. The vehicle position information may include positioning data such as longitude, latitude, altitude, and heading angle. The vehicle position information can be obtained in various ways. The higher the accuracy of the vehicle position information, the more accurately relevant information prompts can be triggered to the user, thereby improving the user's final lap time on the race track.

[0041] In an exemplary embodiment, the vehicle can use RTK (Real-Time Kinematic) positioning technology to obtain the vehicle position information. RTK is a high-precision satellite positioning technology that can provide centimeter-level positioning accuracy under real-time conditions. The RTK technology achieves high-precision positioning by using real-time differential corrections between a reference station and a rover. Among them, the reference station is fixed at a position with known coordinates, receives satellite signals and calculates positioning errors, and then transmits the error data to the rover in real time. The rover (such as a vehicle) receives satellite signals and the error data from the reference station, and combines the two to perform real-time differential calculations, thereby eliminating most of the positioning errors and obtaining high-precision position information.

[0042] In an exemplary embodiment, the vehicle can obtain the vehicle position information through the software development kit (SDK) provided by a third-party map service. The third-party map service usually provides the vehicle position information based on satellite positioning systems such as GPS and Beidou, combined with auxiliary positioning technologies such as cellular networks.

[0043] In an exemplary embodiment, the vehicle can adopt a combination of the above RTK positioning technology and third-party SDK positioning to obtain the vehicle position information. Since the RTK positioning technology provides higher positioning accuracy, it is the preferred positioning method. When a problem occurs with RTK positioning (such as signal loss), the SDK positioning method can be switched to obtain continuous vehicle position information.

[0044] In step S130, in response to the vehicle position information matching the first prompt point coordinates corresponding to the information prompt point, a prompt information corresponding to the information prompt point is sent.

[0045] In the embodiments of the present disclosure, the vehicle position information obtained in real time is matched with the first prompt point coordinates corresponding to each information prompt point in the track data information. In response to the vehicle position information matching the first prompt point coordinates of the first information prompt point, an information prompt event of the first information prompt point is triggered, and a prompt information corresponding to the first information prompt point is sent to the user.

[0046] In an exemplary embodiment, the vehicle position information and the first prompt point coordinates can be matched based on the distance between two coordinate points. When the distance between the coordinate point corresponding to the vehicle position information and the first prompt point coordinates is less than a preset distance, it is determined that the vehicle position information matches the first prompt point coordinates.

[0047] In an exemplary embodiment, the prompt information is the information content that needs to be prompted to the user corresponding to the information prompt point preset. For example, reminding the user to perform braking or reminding the user to speed up.

[0048] In an exemplary embodiment, the prompt information can be voice prompt information, and relevant prompt information is broadcast to the user through voice. The prompt information can be screen display information, and the user is prompted by displaying specific information on the screen. For example, a specific color can be flashed on the screen to prompt the user, with red representing braking and green representing speeding up. For example, based on the HUD (Head Up Display) system, the prompt information is projected in front of the driver's line of sight. Of course, the above-mentioned multiple information prompt methods can also be combined to prompt the user through multiple methods, which should all be regarded as within the protection scope of the present disclosure.

[0049] The track information prompting method provided by the present disclosure determines the track data information of the target track; obtains the vehicle position information; and sends the corresponding prompt information in response to the vehicle position information matching the first prompt point coordinates of the information prompt point. This track information prompting method provides multiple information prompt points for the target track to assist in prompting the user to perform corresponding driving operations, helping the user improve the track performance and lowering the threshold of track racing.

[0050] Figure 2 It is a flowchart of a first prompt point coordinate determination method shown according to an exemplary embodiment of the present disclosure. As Figure 2 shown, on the basis of the Figure 1 track information prompting method shown, Figure 1 the steps shown in S110 may include the following steps.

[0051] In step S210, the track data information of the target track is determined; the track data information includes the reference prompt point coordinates corresponding to the information prompt point.

[0052] In the embodiments of the present disclosure, the reference prompt point coordinates corresponding to each information prompt point are preset in the track data information of the target track. The reference prompt point coordinates are the prompt point coordinates determined according to the default vehicle braking coefficient or the pre-calibrated prompt point coordinates. Since factors such as vehicle hardware configuration and weather environment will affect the vehicle braking coefficient, and thus affect the position of the prompt point coordinates of the information prompt point. Therefore, the reference prompt point coordinates only serve as the reference point of the coordinates, and the coordinate adjustment needs to be performed on the basis of this reference point according to the actual vehicle situation.

[0053] In step S220, the vehicle braking coefficient is determined according to the parameter configuration information of the vehicle.

[0054] In the embodiments of the present disclosure, since various factors such as vehicle hardware configuration and weather environment will affect the vehicle braking coefficient. Therefore, it is necessary to obtain the parameter configuration information of the vehicle and determine the vehicle braking coefficient according to the parameter configuration information. The vehicle braking coefficient is a coefficient used to measure the braking performance of the vehicle. Through the vehicle braking coefficient, the braking distance of the vehicle can be estimated. According to the braking performance of different vehicles, the coordinates of each prompt point can be adjusted to obtain the prompt point coordinates more suitable for the actual situation of the vehicle.

[0055] In an exemplary embodiment, the parameter configuration information may include at least one of: hardware parameters, weather parameters, road surface parameters, driving assistance parameters, and driver evaluation parameters. The hardware parameters represent the vehicle-related hardware configuration parameters. The weather parameters represent the current weather environment parameters. The road surface parameters represent the current road surface environment parameters. The driving assistance parameters represent the electronic control gear of in-vehicle assisted driving.

[0056] As shown Figure 2 in, step S220 may include the following steps.

[0057] In step S221, obtain the parameter configuration information of the vehicle; the parameter configuration information includes at least one configuration parameter.

[0058] In step S222, determine the parameter braking coefficients corresponding to the respective configuration parameters according to the pre-calibrated correspondence between the parameters and the braking coefficients.

[0059] In step S223, determine the vehicle braking coefficient according to the parameter braking coefficients corresponding to the respective configuration parameters.

[0060] In the embodiments of the present disclosure, the obtained parameter configuration information includes multiple configuration parameters. Each configuration parameter may be any one of the foregoing hardware parameters, weather parameters, road surface parameters, driving assistance parameters, and driver evaluation parameters. The correspondence between each configuration parameter and the parameter braking coefficient is pre-calibrated. The parameter braking coefficient is a coefficient based on the influence of the corresponding configuration parameter on the vehicle braking performance. According to the pre-calibrated correspondence between the parameters and the braking coefficients, determine the parameter braking coefficients corresponding to the respective configuration parameters. Further, according to the parameter braking coefficients corresponding to the respective configuration parameters, comprehensively determine the vehicle braking coefficient of the vehicle as a whole.

[0061] In an exemplary embodiment, the hardware configuration parameters may include: front tire type parameters, rear tire type parameters, rim type parameters, brake disc type parameters, etc.

[0062] For example, as shown in Table 1, the front tire type parameters may include multiple different tire types, and the corresponding parameters are respectively denoted as FT0, FT1, FT2, FT3... FTn.

[0063] Type Parameter R21 9.5J Silent Tire FT0 R21 9.5J Low Rolling Resistance Silent Tire FT1 R21 10J Semi-Hot Melt FT2 R21 10J Silent FT3 XXX Other Types FT n

[0064] Table 1

[0065] For example, as shown in Table 2, the rear tire type parameters may include multiple different tire types, and the corresponding parameters are respectively denoted as RT0, RT1, RT2, RT3... RTn.

[0066] Type Parameter RT R21 9.5J Silent Tire RT0 R21 9.5J Low Rolling Resistance Silent Tire RT1 R21 10J Semi-Hot Melt RT2 R21 10J Silent RT3 XXX Other Types RT n

[0067] Table 2

[0068] For example, as shown in Table 3, the rim type parameters may include multiple different rim types, and the corresponding parameters are respectively denoted as R0, R1, R2... Rn.

[0069] Type Parameter R 21-inch Sports R0 21-inch Track R1 21-inch Low Drag R2 XXX Other Types R n

[0070] Table 3

[0071] For example, as shown in Table 4, the brake disc type parameters can include multiple different brake disc types, and the corresponding parameters are respectively denoted as B0, B1... Bn.

[0072] Type Parameter B Ventilated Drilled B0 Carbon Ceramic Drilled B1 XXX Other Types Bn

[0073] Table 4

[0074] In an exemplary embodiment, as shown in Table 5, according to the combinations formed by the above-mentioned various hardware configuration parameters, the corresponding hardware combination types are determined, and the corresponding hardware braking coefficients are respectively denoted as H1, H2, H3... Hn. The relevant hardware braking coefficients represent the coefficients of the influence of the hardware combination on the vehicle braking performance. For example, the default braking distance is 30 meters, and the default hardware braking coefficient is 1. According to the pre-calibration, the hardware braking coefficient H1 corresponding to the hardware combination 1 is 1; the hardware braking coefficient H2 corresponding to the hardware combination 2 is 1.1; the hardware braking coefficient H3 corresponding to the hardware combination 3 is 1.2.

[0075] Based on this, in the case of the hardware combination 2, the braking distance of the vehicle is 30 * H2 = 36 meters.

[0076]

[0077]

[0078] Table 5

[0079] In an exemplary embodiment, as shown in Table 6, the weather configuration parameters can configure corresponding parameters according to the current ambient temperature, and the corresponding weather braking coefficients are respectively denoted as T0, T1... Tn. The relevant weather braking coefficients represent the coefficients of the influence of the current ambient temperature on the vehicle braking performance. The relevant content is similar to the aforementioned hardware braking coefficients and will not be repeated here.

[0080] Weather Braking Coefficient T 0 - 5 Degrees Celsius T0 5 - 10 Degrees Celsius T1 XXX Other Types Tn

[0081] Table 6

[0082] In an exemplary embodiment, as shown in Table 7, the road surface configuration parameters can configure corresponding parameters according to the wet and slippery degree of the current race track road surface, and the corresponding road surface braking coefficients are respectively denoted as S0, S1, S2, S3... Sn. The relevant road surface braking coefficients represent the coefficients of the influence of the current wet and slippery degree of the race track road surface on the vehicle braking performance. The relevant content is similar to the aforementioned hardware braking coefficients and will not be repeated here.

[0083] Degree of Road Surface Slipperiness Road Surface Braking Coefficient S Slippery Level 0 S0 Slippery Level 1 S1 Slippery Level 2 S2 Slippery Level 3 S3 Slippery Level x Sn

[0084] Table 7

[0085] In an exemplary embodiment, the driving assistance configuration parameters may include: ESC (Electronic Stability Control), TC (Traction Control), TVC (Torque Vectoring Control), etc. Similar to the foregoing hardware combination, according to the combinations formed by the above-mentioned various driving assistance configuration parameters, the corresponding driving assistance combination types are determined, and the corresponding driving assistance braking coefficients are calibrated, denoted as C1, C2, C3... Cn. The relevant driving assistance braking coefficient represents the coefficient of the influence of the driving assistance combination on the vehicle braking performance. The relevant content is similar to the foregoing hardware braking coefficient and will not be repeated here.

[0086] In an exemplary embodiment, the driver evaluation parameter is a parameter evaluated based on the driver's historical driving behavior data. The system can monitor and analyze the driver's historical driving behavior data, evaluate the driver's driving habits and levels from multiple different dimensions, and finally score in the form of a quantitative score, denoted as D. For example, the system can evaluate the driver's driving behavior from dimensions such as acceleration and deceleration behavior, speed control, corner control, road surface adaptability, driving concentration, and energy consumption control. For acceleration and deceleration behavior, it can monitor whether the driver's acceleration and deceleration control is stable. For speed control, it can monitor whether the driver's vehicle speed is within the safe speed range. For corner control, it can monitor whether the driver's corner control is stable. For road surface adaptability, it can monitor the driver's adaptability to abnormal road surfaces (such as rainy and snowy roads, low visibility roads, etc.). For driving concentration, it can monitor the driver's concentration during driving (whether there are distraction behaviors, whether fatigued driving, etc.). For energy consumption control, it can monitor the energy consumption change of the driver's driving behavior. And each different evaluation dimension can correspond to different scoring weights, so as to obtain the driver evaluation score. Further, based on the average driver evaluation score of the driver in the recent period, the driver evaluation parameter can be determined.

[0087] In an exemplary embodiment, according to the various types of parameter braking coefficients obtained above, the vehicle braking coefficient VB of the whole vehicle is comprehensively determined. The vehicle braking coefficient VB can be calculated based on the following formula.

[0088] VB(n) = Hn * Tn * Sn * Cn * D

[0089] For example, VB = H1 * T1 * S1 * C1 * D = 1 * 1.1 * 1.1 * 1 * 1 = 1.21. Assuming the default braking distance is 30 meters, the vehicle braking distance corresponding to the vehicle braking coefficient VB is 30 * 1.21 = 36.3 (meters).

[0090] In step S230, according to the vehicle braking coefficient, the coordinates of the reference prompt point are adjusted to determine the coordinates of the first prompt point.

[0091] In the embodiments of the present disclosure, since various configuration parameters and other factors will affect the braking coefficient of the vehicle, and thus affect the coordinate position of the prompt point of the information prompt point. Therefore, taking the reference prompt point coordinates as the reference point, the coordinate adjustment is performed based on the braking coefficient of the vehicle on the basis of this reference point, so as to determine the first prompt point coordinates. By performing the adaptive adjustment based on the actual situation of the vehicle on the basis of the reference prompt point coordinates as described above, the prompt point coordinates more suitable for the actual situation of the vehicle can be obtained, so as to provide a more timely and accurate information prompt for the user and help the user improve the track performance.

[0092] For example, it is estimated that the braking distance of the vehicle is 36.3 meters according to the braking coefficient of the vehicle, and the vehicle speed needs to be reduced to 80 km / h at the preset braking point. Through calculation, it is necessary to prompt the user to perform braking 20 meters before the preset braking point. Based on this, on the basis of the reference coordinates of the preset braking point, the first prompt point coordinates are determined 20 meters in advance. When the vehicle travels to the first prompt point coordinates, a braking prompt message is sent to the user to remind the user to perform braking.

[0093] In an exemplary embodiment, as described above, the route trajectory data may be included in the track data information. Based on this, in the process of adjusting the reference prompt point coordinates according to the braking coefficient of the vehicle, the reference prompt point coordinates can be adjusted along the route trajectory data, so that the first prompt point coordinates can be determined on the route trajectory data, further improving the accuracy of the first prompt point coordinates.

[0094] The track information prompt method provided by the present disclosure can obtain the prompt point coordinates more suitable for the actual situation of the vehicle by acquiring the parameter configuration information of the vehicle and performing adaptive adjustment on the basis of the preset reference prompt point coordinates according to the actual situation of the vehicle, so as to provide a more timely and accurate information prompt for the user and help the user improve the track performance.

[0095] Figure 3 It is a flowchart of a method for determining track data information shown according to an exemplary embodiment of the present disclosure. As Figure 3 shown, on the basis of the track information prompt method shown in Figure 1 shown, Figure 1 the steps shown in step S110 may include the following steps.

[0096] In step S310, the vehicle position information is acquired.

[0097] In the embodiments of the present disclosure, among the track data information of each track pre-stored in the track database, there is also included the track geographical location information corresponding to each track. The track geographical location information may be the longitude and latitude coordinate information of the range where the track is located. Based on the track geographical location information, the target track can be automatically matched from the track database according to the vehicle position information.

[0098] Based on this, the vehicle position information of the vehicle is obtained. The obtaining method of the vehicle position information may refer to the obtaining method in the foregoing step S120 and will not be repeated here. The difference is that in step S120, the vehicle position information is obtained in real time during the vehicle driving process to match the first prompt point coordinates, while in step S310, the vehicle position information is obtained during the track determination process to match the track geographical location information of each track.

[0099] In an exemplary embodiment, in addition to constructing a relevant track database according to a fixed racing track, the track data information in the track database can also provide users to enrich the track database by means of self-built track data information, which may include the following steps.

[0100] Obtain the driving trajectory data of the vehicle;

[0101] In response to a track addition operation, add the driving trajectory data to the track database.

[0102] In the embodiments of the present disclosure, the user can record a section of driving trajectory data of the vehicle by himself. After the recording of the driving trajectory data is completed, in response to the user's track addition operation, the recorded driving trajectory data is added to the track database as track data information. By this method, the content of the user's track database can be enriched, and the sharing of track data information between users can also be provided. Among them, each information prompt point in the track data information built based on the driving trajectory data can be set manually by the user or automatically set in the track data information by the system based on a preset algorithm model.

[0103] In step S320, determine the matching target track from the track database according to the vehicle position information; the track database includes the track data information of multiple pre-stored tracks.

[0104] In the embodiments of the present disclosure, the vehicle position information obtained in step S310 is matched with the track geographical location information corresponding to each track in the track database to determine the matching target track, thereby avoiding the trouble of the user manually selecting the target track.

[0105] The track information prompting method provided by the present disclosure automatically matches the target track through the vehicle position information, thus avoiding the trouble of the user manually selecting the target track. At the same time, it provides the user with the ability to build their own track data information. Through the driving trajectory data recorded by the user themselves, the content of the user's track database can be enriched, and the interactivity between users can also be enhanced.

[0106] Figure 4 It is a flowchart of a second prompting point coordinate determination method shown according to an exemplary embodiment of the present disclosure. As Figure 4 shown, on the basis of the Figure 1 track information prompting method shown, Figure 1 the step S130 shown may include the following steps.

[0107] In step S410, the driving data of the vehicle is acquired.

[0108] In the embodiments of the present disclosure, in addition to the aforementioned parameter configuration information of the vehicle that may affect the braking performance of the vehicle, there are also many different types of factors during the driving process of the vehicle that will affect the braking result of the vehicle. For example, the driving behavior data of the driver, such as the driving habits of the driver and the reaction time of the driver, will also affect the braking result of the vehicle. Another example is that the driving state data of the vehicle, such as the temperature of the brake disc and the degree of tire wear of the vehicle, will also affect the braking performance of the vehicle. These driving data are not parameter information that can be obtained in advance through a pre-configuration method, but need to be acquired and analyzed in real time during the driving process of the vehicle. Since these factors will also affect the braking result of the vehicle, it is also necessary to further adjust the prompting point coordinates based on these driving data. Based on this, it is necessary to acquire these driving data of the vehicle for further analysis and adjustment of the prompting point coordinates. The present disclosure does not limit the acquisition method of the relevant driving data.

[0109] In step S420, the first prompting point coordinates are adjusted according to the driving data to obtain the second prompting point coordinates corresponding to the information prompting point.

[0110] In the embodiments of the present disclosure, the driving braking coefficient corresponding to the relevant driving data is determined according to the acquired driving data. This driving braking coefficient is similar to the aforementioned parameter braking coefficient and is a braking performance coefficient based on the pre-calibrated driving data. The difference is that the driving braking coefficient is a braking coefficient that changes in real time during the driving process of the vehicle based on the real-time acquired driving data. The previously determined first prompting point coordinates are further adjusted according to this driving braking coefficient, so as to obtain the second prompting point coordinates corresponding to each information prompting point.

[0111] In an exemplary embodiment, the driving data includes the aforementioned driver driving behavior data. The system can analyze the collected driver driving behavior data through a pre-trained driver behavior analysis model to determine the driver behavior braking coefficient. The driver behavior braking coefficient is an influence coefficient of the driver behavior on the braking distance determined by the driver behavior analysis model based on factors such as the driver's driving habits and reaction time. The first prompt point coordinates can be adjusted according to the driver behavior braking coefficient to obtain the second prompt point coordinates.

[0112] In an exemplary embodiment, the driving data includes the aforementioned vehicle driving state data. The system can pre-calibrate the driving state braking coefficients corresponding to various different vehicle driving state data in the manner of the aforementioned parameter braking coefficient correspondence. According to the driving state braking coefficients corresponding to each vehicle driving state data, the overall vehicle driving braking coefficient is comprehensively determined. The first prompt point coordinates can be adjusted according to the vehicle driving braking coefficient to obtain the second prompt point coordinates.

[0113] In step S430, in response to the vehicle position information matching the second prompt point coordinates, a prompt message corresponding to the information prompt point is sent.

[0114] In the embodiments of the present disclosure, by obtaining the driving data of the vehicle in real time, the first prompt point coordinates are adjusted in real time to obtain the second prompt point coordinates corresponding to the current vehicle state. Similar to the aforementioned step S130, in response to the vehicle position information obtained in step S120 matching the second prompt point coordinates, the prompt message corresponding to the information prompt point is sent.

[0115] The track information prompt method provided by the present disclosure can further adjust the prompt point coordinates by obtaining the driving data during the vehicle driving process in real time, so as to determine more accurate prompt point coordinates, provide more timely and accurate information prompts for users, and help users improve their track performance.

[0116] The following are the embodiments of the device of the present disclosure, which can be used to execute the method embodiments of the present disclosure. For the details not disclosed in the embodiments of the device of the present disclosure, please refer to the method embodiments of the present disclosure.

[0117] Figure 6 It is a block diagram of a track information prompt device shown according to an exemplary embodiment of the present disclosure. The device of this embodiment can be applied to an electronic device.

[0118] As Figure 6 shown, the track information prompt device 600 may include: a track data unit 610, a positioning unit 620, and an information prompt unit 630.

[0119] A track data unit 610 for determining track data information of a target track; the track data information includes at least one information prompt point.

[0120] A positioning unit 620 for obtaining vehicle position information.

[0121] An information prompt unit 630 for sending a prompt information corresponding to the information prompt point in response to a match between the vehicle position information and a first prompt point coordinate corresponding to the information prompt point.

[0122] In some exemplary embodiments of the present disclosure, the track data unit 610 is further configured to determine the track data information of the target track; the track data information includes a reference prompt point coordinate corresponding to the information prompt point; determine a vehicle braking coefficient according to parameter configuration information of the vehicle; adjust the reference prompt point coordinate according to the vehicle braking coefficient to determine the first prompt point coordinate.

[0123] In some exemplary embodiments of the present disclosure, the track data unit 610 is further configured to obtain the parameter configuration information of the vehicle; the parameter configuration information includes at least one configuration parameter; determine a parameter braking coefficient corresponding to each of the configuration parameters according to a pre-calibrated parameter braking coefficient correspondence; determine the vehicle braking coefficient according to the parameter braking coefficients corresponding to the respective configuration parameters.

[0124] In some exemplary embodiments of the present disclosure, the parameter configuration information includes at least one of: hardware parameters, weather parameters, road surface parameters, driving assistance parameters, and driver evaluation parameters.

[0125] In some exemplary embodiments of the present disclosure, the track data unit 610 is further configured to obtain the vehicle position information; determine the matching target track from a track database according to the vehicle position information; the track database includes the track data information of a plurality of pre-stored tracks.

[0126] In some exemplary embodiments of the present disclosure, the track data unit 610 is further configured to obtain the driving trajectory data of the vehicle; in response to a track addition operation, add the driving trajectory data to the track database.

[0127] In some exemplary embodiments of the present disclosure, the information prompt unit 630 is further configured to obtain the driving data of the vehicle; adjust the first prompt point coordinate according to the driving data to obtain a second prompt point coordinate corresponding to the information prompt point; send the prompt information corresponding to the information prompt point in response to a match between the vehicle position information and the second prompt point coordinate.

[0128] In some exemplary embodiments of the present disclosure, the driving data includes: vehicle driving state data and / or rider driving behavior data.

[0129] In some exemplary embodiments of the present disclosure, the information prompt points are acceleration points, deceleration points or braking points.

[0130] In some exemplary embodiments of the present disclosure, the prompt information is voice prompt information and / or screen display information.

[0131] Figure 7 It is a schematic functional block diagram of a vehicle shown according to an exemplary embodiment of the present disclosure. For example, the vehicle 700 can be a hybrid vehicle, or a non-hybrid vehicle, an electric vehicle, a fuel cell vehicle or other types of vehicles. The vehicle 700 can be an autonomous vehicle, a semi-autonomous vehicle or a non-autonomous vehicle.

[0132] Refer to Figure 7 , the vehicle 700 may include various subsystems. For example, the infotainment system 710, the perception system 720, the decision control system 730, the drive system 740, and the computing platform 750. Among them, the vehicle 700 may further include more or fewer subsystems, and each subsystem may include multiple components. In addition, each subsystem and each component of the vehicle 700 can be interconnected by wired or wireless means.

[0133] In some embodiments, the infotainment system 710 may include a communication system, an entertainment system, and a navigation system, etc.

[0134] The perception system 720 may include several sensors for sensing information about the environment around the vehicle 700. For example, the perception system 720 may include a global positioning system (the global positioning system can be a GPS system, or a Beidou system or other positioning systems), an inertial measurement unit (inertial measurement unit, IMU), lidar, millimeter wave radar, ultrasonic radar, and a camera device.

[0135] The decision control system 730 may include a computing system, a vehicle controller, a steering system, an accelerator, and a braking system.

[0136] The drive system 740 may include components that provide power movement for the vehicle 700. In one embodiment, the drive system 740 may include an engine, an energy source, a transmission system, and wheels. The engine can be one or a combination of an internal combustion engine, an electric motor, and an air compression engine. The engine can convert the energy provided by the energy source into mechanical energy.

[0137] Some or all of the functions of vehicle 700 are controlled by computing platform 750. Computing platform 750 may include at least one processor 751 and a memory 752. Processor 751 may execute instructions 753 stored in memory 752.

[0138] Processor 751 may be any conventional processor, such as a commercially available CPU. The processor may also include, for example, a Graphic Process Unit (GPU), a Field Programmable Gate Array (FPGA), a System on Chip (SOC), an Application Specific Integrated Circuit (ASIC), or a combination thereof.

[0139] Memory 752 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disk.

[0140] In addition to instructions 753, memory 752 may also store data, such as road maps, route information, data on the position, direction, speed, etc. of the vehicle. The data stored in memory 752 may be used by computing platform 750.

[0141] In an embodiment of the present disclosure, processor 751 may execute instructions 753 to complete all or part of the steps of the above-described track information prompting method.

[0142] In some embodiments of the present disclosure, a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by a processor of a terminal, enables the terminal to execute all or part of the steps of the above-described track information prompting method.

[0143] In some embodiments of the present disclosure, a computer program product includes a computer program, and when the computer program is executed by a processor, it implements all or part of the steps of the above-described track information prompting method.

[0144] Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and examples are only to be considered as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0145] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A track information prompting method, characterized in that: The method comprises: Determine track data information of a target track; the track data information includes at least one information prompt point; Get vehicle location information; In response to the vehicle position information matching the coordinates of the first prompt point corresponding to the information prompt point, prompt information corresponding to the information prompt point is sent.

2. The method according to claim 1, characterized in that The track data information of the target track is determined, including: Determine the track data information of the target track; the track data information includes the coordinates of the reference prompt point corresponding to the information prompt point; Determine the vehicle braking coefficient according to the parameter configuration information of the vehicle; The reference prompt point coordinates are adjusted according to the vehicle braking coefficient to determine the first prompt point coordinates.

3. The method according to claim 2, characterized in that Determining the vehicle braking coefficient according to the parameter configuration information of the vehicle includes: Acquire the parameter configuration information of the vehicle; the parameter configuration information includes at least one configuration parameter; Determine the parameter braking coefficient corresponding to each of the configuration parameters according to the pre-calibrated parameter braking coefficient correspondence relationship; The vehicle braking coefficient is determined according to the parameter braking coefficient corresponding to each of the configuration parameters.

4. The method according to claim 3, characterized in that The parameter configuration information includes at least one of hardware parameters, weather parameters, road parameters, driving assistance parameters, and driver evaluation parameters.

5. The method according to claim 1, characterized in that The track data information of the target track is determined, including: Acquiring the vehicle location information; The matching target track is determined from a track database according to the vehicle position information; the track database includes track data information of a plurality of pre-stored tracks.

6. The method according to claim 5, characterized in that The method further comprises: Acquiring driving trajectory data of the vehicle; In response to a track adding operation, the driving trajectory data is added to the track database.

7. The method according to claim 1 or 2, characterized in that: In response to the vehicle position information matching the coordinates of the first prompt point corresponding to the information prompt point, sending the prompt information corresponding to the information prompt point includes: Acquiring driving data of the vehicle; Adjusting the coordinates of the first prompt point according to the driving data to obtain the coordinates of the second prompt point corresponding to the information prompt point; In response to the vehicle position information matching the coordinates of the second prompt point, prompt information corresponding to the information prompt point is sent.

8. The method according to claim 7, characterized in that The driving data includes: vehicle driving status data and / or driver driving behavior data.

9. The method according to claim 1, characterized in that: The information prompt point is an acceleration point, a deceleration point or a braking point.

10. The method according to claim 1, characterized in that The prompt information is voice prompt information and / or screen display information.

11. A track information prompting device, characterized in that: include: A track data unit, used to determine track data information of a target track; The track data information includes at least one information prompt point; A positioning unit, used to obtain vehicle location information; The information prompting unit is used to send prompting information corresponding to the information prompting point in response to the vehicle position information matching the coordinates of the first prompting point corresponding to the information prompting point.

12. A vehicle, characterized in that: include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to: implement the steps of the track information prompt method described in any one of claims 1 to 10.

13. A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to execute the steps of the track information prompting method according to any one of claims 1 to 10.

14. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the track information prompting method according to any one of claims 1 to 10.

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