Navigation prompt information generation method and device, vehicle, and medium
By calculating the visible angle range of landmarks along the navigation route and selecting appropriate landmarks as guide points, feature information navigation prompts are generated. This solves the problem of inaccurate navigation in existing navigation systems at close intersections and where the destination is obscured, thus improving the reliability of navigation information and the driving experience.
Patent Information
- Application Number
- CN202111480364.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-12-06
- Publication Date
- 2026-02-13
- Estimated Expiration
- 2041-12-06
AI Technical Summary
Existing navigation systems provide insufficient navigation prompts at nearby intersections and destinations obscured by greenery, making it difficult for drivers to accurately locate intersections or destinations and affecting the driving experience.
By acquiring navigation route data and the location information of landmarks, the matching result between the actual visible angle range and the standard visible angle range is calculated. A suitable landmark is selected as a guide point, and navigation prompts based on its feature information are generated.
It improves the reliability and accuracy of navigation prompts, helps drivers quickly identify the correct direction of travel, and enhances the driving experience.
Smart Images

Figure CN116222607B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of navigation technology, in particular to a navigation prompt information generation method and device, a vehicle and a medium. BACKGROUND
[0002] With the development of microelectronic technology and computer technology, vehicle navigation technology has developed rapidly. Navigation prompts are a basic function of navigation applications, which mainly provide relevant voice or text prompts from the current location to the destination location for users.
[0003] In the navigation process, the terminal will provide navigation prompt information with reference points in the map data to the driver according to the continuously updated map data information. The existing navigation system usually broadcasts navigation prompt information similar to "turn left at the Xth intersection" for consecutive intersections at close range, but if the distance between two intersections is very close, the directionality of the navigation prompt information is not clear. For destinations blocked by greenery, the navigation prompt information similar to "arrived at the right side of the destination" is usually broadcast, but if the destination is a building, but the building's house number and title are blocked by greenery, the car owner cannot easily find the location of the destination.
[0004] It can be seen that the navigation information provided by the existing navigation method is not accurate, which brings great difficulty to the driver to determine the travel route, resulting in poor driving experience of the driver. SUMMARY
[0005] One object of the present application is to provide a navigation prompt information generation method, which has the advantage of determining a target landmark object according to the matching result of the actual visible angle range of each landmark object relative to the preset vehicle and the standard visible angle range of the landmark object when the preset vehicle travels to the next target road point, and generating navigation prompt information according to the feature information of the target landmark object. The problem of the existing landmark object generation guide information being not clear enough, resulting in the car owner missing the intersection or not easily finding the destination is solved; selecting a suitable landmark object as a guide point and extracting the feature information of the landmark object as natural language guide content, thereby improving the reliability, accuracy and rationality of the navigation prompt information, and ultimately improving the driving experience of the driver.
[0006] Another object of the present application is to provide a navigation prompt information generation method, which has the advantage of determining the actual visible angle range according to the azimuth of the preset vehicle in the driving direction, thereby improving the accuracy and reliability of the calculation of the actual visible angle range.
[0007] Another object of the present application is to provide a navigation prompt information generation method, which has the advantage that the course angle is calculated according to different parameters by judging whether the azimuth angle is greater than 180°. This method improves the accuracy and effectiveness of the calculation of the actual visual angle range.
[0008] Another object of the present application is to provide a navigation prompt information generation method, which has the advantage that the actual visual angle range is calculated according to the buffer angle and the azimuth angle, and the calculated actual visual angle range is corrected by the buffer angle, thereby ensuring the accuracy, reliability and effectiveness of the calculation.
[0009] Another object of the present application is to provide a navigation prompt information generation method, which has the advantage that the candidate landmark object is selected from the landmark objects according to the size of the feature value. This method realizes the rationality and reliability of the selection of the candidate landmark object, thereby improving the accuracy and effectiveness of the navigation prompt information provided to the driver.
[0010] Another object of the present application is to provide a navigation prompt information generation method, which has the advantage that the landmark object with the highest matching degree is taken as the target landmark object, or the multiple landmark objects with the highest matching degree are taken as the preliminary selected landmark objects, and the closest preliminary selected landmark object is taken as the target landmark object. This method improves the rationality and reliability of the selection of the target landmark object, enhances the accuracy of the driver quickly identifying the correct driving direction according to the navigation prompt information during navigation, and improves the experience of the driver.
[0011] Another object of the present application is to provide a navigation prompt information generation method, which has the advantage that the navigation prompt information is generated based on the color, appearance and name information of the target landmark object. This method broadcasts the navigation prompt information through natural language, solves the problem that the driver misses the intersection or cannot easily find the destination due to inaccurate navigation information, and improves the accuracy of the broadcast content and the experience of the driver during driving.
[0012] Another object of the present application is to provide a navigation prompt information generation device, which has the advantage that the target landmark object is determined according to the matching result of the actual visual angle range of each landmark object relative to the preset vehicle and the standard visual angle range of the landmark object when the preset vehicle drives to the next target point, and the navigation prompt information is generated according to the feature information of the target landmark object. This method solves the problem that the existing landmark object generation guide information is not clear enough, leading to the problem that the driver misses the intersection or cannot easily find the destination; selects a suitable landmark object as a guide point, extracts the feature information of the landmark object as natural language guide content, thereby improving the reliability, accuracy and rationality of the navigation prompt information, and ultimately improving the experience of the driver during driving.
[0013] Another object of the present application is to provide a vehicle, which has the advantage that the driver solves the problem that the navigation information provided by the existing navigation method is not accurate, which brings great difficulty to the driver to determine the travel route, and improves the driving experience of the driver by using the navigation prompt information generation device installed on the vehicle.
[0014] Another object of the present application is to provide an electronic device, which has the advantage that the navigation prompt information generation method described above is executed to solve the problem that the guide information generated by the existing landmark object is not clear enough, which causes the driver to miss the intersection or not easy to find the destination.
[0015] Another object of the present application is to provide a computer readable storage medium, which has the advantage that the navigation prompt information generation method described above is executed to solve the problem that the guide information generated by the existing landmark object is not clear enough, which causes the driver to miss the intersection or not easy to find the destination; the appropriate landmark object is selected as the guide point, and the feature information of the landmark object is extracted as the natural language guide content, thereby improving the reliability, accuracy and rationality of the navigation prompt information, and ultimately improving the driving experience of the driver.
[0016] The present application solves the above technical problems by the following technical solutions:
[0017] The first aspect of the present application provides a navigation prompt information generation method, which comprises:
[0018] Obtaining navigation route data; the navigation route data comprises a plurality of target points;
[0019] Receiving position information and feature information of a plurality of landmark objects within a preset area range of the next target point in the preset vehicle driving direction;
[0020] Based on the position information, obtaining the actual visible angle range of each landmark object relative to the preset vehicle when the preset vehicle drives to the next target point;
[0021] Obtaining the standard visible angle range of each landmark object; the standard visible angle range is the angle range of the landmark object observed on any road;
[0022] Based on the matching result of the actual visible angle range and the standard visible angle range, screening out target landmark objects from the landmark objects;
[0023] Generating navigation prompt information according to the feature information of the target landmark object.
[0024] The second aspect of the present application provides a navigation prompt information generation device, the generation device comprising:
[0025] a data acquisition unit,
[0026] one or more processors in communication connection with the data acquisition unit and a memory;
[0027] the memory is configured to store instructions, when the storage instructions are executed by the one or more processors, the one or more processors execute the steps, the steps comprising:
[0028] obtaining navigation route data; the navigation route data comprises a plurality of target waypoints;
[0029] receiving position information and feature information of a plurality of landmark objects within a preset area range of a next target waypoint in a preset vehicle driving direction;
[0030] based on the position information, obtaining the actual visible angle range of each landmark object relative to the preset vehicle when the preset vehicle drives to the next target waypoint;
[0031] obtaining the standard visible angle range of each landmark object; the standard visible angle range is the angle range of the landmark object observed on any road;
[0032] based on the matching result of the actual visible angle range and the standard visible angle range, screening target landmark objects from the landmark objects;
[0033] generating navigation prompt information according to the feature information of the target landmark objects.
[0034] The third aspect of the present application provides a vehicle comprising the navigation prompt information generation device provided in the second aspect.
[0035] The fourth aspect of the present application provides an electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, wherein the computer program is executed by the processor to implement the navigation prompt information generation method described above.
[0036] The fifth aspect of the present application provides a computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to implement the navigation prompt information generation method described above.
[0037] On the basis of common sense in the art, the various preferred conditions can be combined arbitrarily, that is, various preferred embodiments of the present application are obtained. BRIEF DESCRIPTION OF DRAWINGS
[0038] Figure 1 This is a flowchart of the method for generating navigation prompt information according to Embodiment 1 of the present invention.
[0039] Figure 2 This is a flowchart of step S16 of the method for generating navigation prompt information according to Embodiment 1 of the present invention.
[0040] Figure 3 This is a flowchart of step S13 of the method for generating navigation prompt information according to Embodiment 2 of the present invention.
[0041] Figure 4 This is a flowchart of step S132 of the method for generating navigation prompt information according to Embodiment 2 of the present invention.
[0042] Figure 5 This is a flowchart of the method for generating navigation prompt information according to Embodiment 3 of the present invention.
[0043] Figure 6 This is a flowchart of step S151 of the method for generating navigation prompt information according to Embodiment 3 of the present invention.
[0044] Figure 7 This is a schematic diagram of the navigation prompt information generation device according to Embodiment 4 of the present invention.
[0045] Figure 8 This is a schematic diagram of the vehicle structure according to Embodiment 5 of the present invention.
[0046] Figure 9 This is a schematic diagram of the structure of an electronic device that implements the method for generating navigation prompt information according to Embodiment 6 of the present invention. Detailed Implementation
[0047] The present invention will be further illustrated by way of embodiments below, but the present invention is not limited to the scope of the embodiments described herein.
[0048] Example 1
[0049] like Figure 1 As shown in the flowchart, this embodiment provides a method for generating navigation prompt information, which includes the following steps:
[0050] S11. Obtain navigation route data; navigation route data includes multiple target waypoints.
[0051] S12. Receive the location and feature information of multiple landmark objects within a preset area of the next target waypoint in the preset vehicle driving direction.
[0052] S13. Based on location information, obtain the actual visible angle range of each landmark relative to the preset vehicle when the preset vehicle travels to the next target waypoint.
[0053] S14, acquiring a standard visible angle range of each landmark object; the standard visible angle range is an angle range of the landmark object observed on an arbitrary road.
[0054] S15, screening a target landmark object from the landmark objects based on a matching result of the actual visible angle range and the standard visible angle range.
[0055] S16, generating navigation prompt information according to the feature information of the target landmark object.
[0056] In step S11, the navigation route data generated by the preset vehicle according to the input starting point information and destination information can be acquired from a cloud server or a network. The navigation route data can include a starting position of a driving path, a destination position, a driving route from the starting position to the destination position, and a plurality of target points. The target points include points where the direction changes, such as turns and U-turns, on the driving route.
[0057] In step S12, a plurality of landmark objects within a range of 50 meters from the preset vehicle and in a driving direction on the driving route are received. The landmark objects have good visual saliency, for example, the landmark objects can be a house, a shop, and a bus stop, etc. Further, the position information and the feature information corresponding to each landmark object are acquired. The position information can include coordinate information, such as longitude and latitude. The feature information can include building name, building color, building size, building shape, and building area, etc.
[0058] In step S13, the actual visible angle range represents the largest angle at which each landmark object can still be clearly seen from a certain angle with the position of the preset vehicle at the target point as the center point. The actual visible angle range can be determined according to the azimuth angle of the preset vehicle in the driving direction.
[0059] In step S14, the standard visible angle range of each landmark object can be acquired from a cloud server or a network. The standard visible angle range represents the angle range at which the landmark object can be observed when standing on a road in each direction near the landmark object.
[0060] In step S15, the actual visible angle range is compared with the standard visible angle range. For example, if the standard visible angle range of landmark object A is 90-180 degrees, the standard visible angle range of landmark object B is 60-360 degrees, and the standard visible angle range of landmark object C is 0-90 degrees.
[0061] If the actual visible angle range of the M-pre-set vehicle at the next N-target waypoint is 195-225 degrees, since the standard visible angle range of the A-sign object and the C-sign object is outside the actual visible angle range of the M-pre-set vehicle, the B-sign object is the selected target sign object.
[0062] If the actual visible angle range of the F-pre-set vehicle at the next N-target waypoint is 160-225 degrees, since the standard visible angle range of the C-sign object is not outside the actual visible angle range of the F-pre-set vehicle, the C-sign object is excluded. Since the matching degree between the actual visible angle range of the F-pre-set vehicle and the standard visible angle range of the B-sign object is greater than that between the actual visible angle range of the F-pre-set vehicle and the standard visible angle range of the A-sign object, the B-sign object is the selected target sign object.
[0063] In step S16, navigation prompt information is generated according to one or more combinations of the feature information of the selected target sign object, such as the building name, building color, building size, building shape, and building area.
[0064] As shown in FIG. 16, the feature information further includes color information, appearance information, and name information, and step S16 includes: Figure 2
[0065] S161, color information, appearance information, and name information of the target sign object are extracted.
[0066] S162, navigation prompt information is generated based on the color information, appearance information, and name information.
[0067] For example, if the color of the target sign object is red and the target sign object is a two-meter-high brick wall, navigation prompt information that "turn right at the red two-meter-high brick wall in 50 meters" can be generated. Alternatively, if the color of the target sign object is white and the target sign object is a brick wall, navigation prompt information that "turn right at the white brick wall in 50 meters" can be generated.
[0068] It should be noted that the target landmark object can be obtained from the searched landmark object in the manner of steps S11-S16, and the corresponding navigation prompt information is generated in the above manner and stored in the cloud server. When the preset vehicle travels to a position 100 meters away from the next target point, the navigation prompt information containing the target landmark object can be directly obtained from the cloud server and broadcasted. When no landmark object is searched in the manner of steps S11-S16, the conventional navigation prompt information (for example, turn right in 50 meters) is generated and stored in the cloud server. When the preset vehicle travels to a position 100 meters away from the next target point, the conventional navigation prompt information not containing the target landmark object can also be directly obtained from the cloud server and broadcasted.
[0069] In this embodiment, a method for generating navigation prompt information is provided. The target landmark object is determined by matching the actual visible angle range of each landmark object relative to the preset vehicle with the standard visible angle range of the landmark object when the preset vehicle travels to the next target point, and the navigation prompt information is generated according to the feature information of the target landmark object. The problem that the existing landmark object selection is unreasonable, the generated guide information is not clear enough, and the driver misses the intersection or cannot easily find the destination is solved. By selecting a suitable landmark object as a guide point and extracting the feature information of the landmark object as natural language guide content, the reliability, accuracy and rationality of the navigation prompt information are improved, and the driving experience of the driver is improved.
[0070] Embodiment 2
[0071] Based on embodiment 1, this embodiment provides a flowchart of a method for generating navigation prompt information, which is improved compared with embodiment 1, and specifically:
[0072] As shown in Figure 3 Step S13 includes:
[0073] S131, based on the azimuth angle of the preset vehicle in the driving direction, calculating the course angle of the preset vehicle traveling to the next target point.
[0074] S132, determining the actual visible angle range according to the course angle.
[0075] Specifically, the azimuth angle of the preset vehicle in the driving direction can be obtained from the cloud server or the network, and the course angle of the preset vehicle traveling to the next target point is determined according to a plurality of algorithms, and the actual visible angle range is further determined.
[0076] In an implementable scheme, step S131 includes:
[0077] If the azimuth is less than 180°, the route angle is calculated based on the preset first parameter and the azimuth; if the azimuth is greater than 180°, the route angle is calculated based on the preset second parameter and the azimuth.
[0078] In the above steps, the azimuth is compared with 180°, and the route angle is determined by combining the first parameter, the second parameter, and the azimuth. For example, if the azimuth is 45° and the first parameter is +180°, then the route angle is 45° + 180° = 225°. If the azimuth is 225° and the second parameter is -180°, then the route angle is 225° - 180° = 45°.
[0079] In a feasible solution, such as Figure 4 As shown, step S132 includes:
[0080] S1321. Obtain the preset buffer angle;
[0081] S1322. Calculate the actual visible angle range based on the buffer angle and azimuth angle.
[0082] In steps S1321-S1322, when the preset buffer angles are +30° and -30°, the calculated aerial sight angle is 225° under the condition of an azimuth angle of 45°. After adding the buffer angle, the actual visible angle range is 195°-225°. Adding the buffer angle in this method improves the reliability of determining the actual visible angle range and provides a basis for subsequent screening of target landmarks.
[0083] In this embodiment, a method for generating navigation prompt information is provided, which determines the actual visible angle range based on the preset azimuth angle of the vehicle in the driving direction, thereby improving the accuracy and reliability of the calculation of the actual visible angle range.
[0084] Example 3
[0085] Based on Embodiment 1, this embodiment provides a flowchart of a method for generating navigation prompt information, which is an improvement over Embodiment 1. Specifically:
[0086] like Figure 5 As shown, the feature information includes feature values, and the generation method further includes:
[0087] S121. Select landmark objects with feature values greater than the first threshold as candidate landmark objects.
[0088] In step S121, if the feature value in the feature information of the A landmark object is 6, the feature value in the feature information of the B landmark object is 6, the feature value in the feature information of the C landmark object is 8, the feature value in the feature information of the D landmark object is 6, the feature value in the feature information of the E landmark object is 4, and the feature value in the feature information of the F landmark object is 3. The landmark objects with the feature values greater than the first threshold value (for example, 5) are selected as the candidate landmark objects, and the landmark objects with the feature values less than the first threshold value are eliminated, so that the A, B, C and D landmark objects are the candidate landmark objects.
[0089] In step S151, the target landmark object is further selected from the candidate landmark objects A, B, C and D according to the matching result of the actual visual angle range and the standard visual angle range. If there are multiple candidate landmark objects meeting the condition in the matching result, the optimal candidate landmark object can be selected as the final target landmark object by further excluding the candidate landmark objects according to the distance value between the candidate landmark object and the preset vehicle or other factors.
[0090] In an embodiment, step S151 specifically includes:
[0091] S1511, selecting the landmark object with the highest matching degree in the matching result of the actual visual angle range and the standard visual angle range as the target landmark object.
[0092] In step S1511, if the standard visual angle range of the A landmark object is 90-180 degrees, the standard visual angle range of the B landmark object is 60-360 degrees, the standard visual angle range of the C landmark object is 0-90 degrees, and the actual visual angle range of the M preset vehicle at the next N target point is 195-225 degrees. Since the standard visual angle range of the B landmark object is within the actual visual angle range of the M preset vehicle, the B landmark object is selected as the target landmark object.
[0093] In an embodiment, as shown in Figure 6 , step S151 specifically includes:
[0094] S1512, selecting multiple landmark objects with the highest matching degrees in the matching result of the actual visual angle range and the standard visual angle range as the target landmark objects.
[0095] S1513, selecting the landmark object closest to the preset vehicle as the target landmark object.
[0096] In step S1512-step S1513, the actual visible angle range and the standard visible angle range are compared. For example, if the standard visible angle range of the A landmark object is 90-180 degrees, the standard visible angle range of the B landmark object is 60-360 degrees, the standard visible angle range of the C landmark object is 0-90 degrees, and the standard visible angle range of the D landmark object is 100-360 degrees. If the actual visible angle range of the M preset vehicle at the next N target point is 195-225 degrees, because the standard visible angle range of the B landmark object and the D landmark object is within the actual visible angle range of the M preset vehicle, the B landmark object and the D landmark object are selected as the primary selected landmark object.
[0097] Further, because the distance between the B landmark object and the preset vehicle (for example, 8 meters) is less than the distance between the D landmark object and the preset vehicle (for example, 10 meters), the B landmark object is selected as the target landmark object.
[0098] In this embodiment, a navigation prompt information generation method is provided, which can select the candidate landmark object from the landmark object according to the size of the feature value, and then select the target landmark object from the candidate landmark object. Alternatively, the landmark object with the highest matching degree can be selected as the target landmark object. Alternatively, the multiple landmark objects with the highest matching degree can be selected as the primary selected landmark object, and the closest primary selected landmark object can be selected as the target landmark object. This method improves the rationality and reliability of the selection of the target landmark object, enhances the accuracy of the driver in quickly identifying the correct driving direction according to the navigation prompt information in the navigation process, and improves the experience of the driver.
[0099] Embodiment 4
[0100] As shown in Figure 7 The embodiment provides a navigation prompt information generation device 200, which comprises a data acquisition unit 1, one or more processing units 3, and a storage unit 2.
[0101] The storage unit 2 is configured to store instructions, which, when executed by the one or more processing units 2, cause the one or more processing units 2 to perform the steps, which comprise:
[0102] obtaining navigation route data; the navigation route data comprises a plurality of target points;
[0103] receiving position information and feature information of a plurality of landmark objects in a preset area range of the next target point in the driving direction of the preset vehicle;
[0104] Based on the position information, the actual visible angle range of each landmark object relative to the preset vehicle when the preset vehicle travels to the next target road point is obtained;
[0105] The standard visible angle range of each landmark object is obtained; the standard visible angle range is the angle range of the landmark object observed on any road;
[0106] Based on the matching result of the actual visible angle range and the standard visible angle range, the target landmark object is selected from the landmark objects;
[0107] The navigation prompt information is generated according to the feature information of the target landmark object.
[0108] Specifically, the data acquisition unit 1 can obtain the navigation route data generated by the preset vehicle according to the input departure location information and destination information from the cloud server or the network. A plurality of landmark objects in the driving direction of the preset vehicle 50 meters away from the preset vehicle and on the driving route are received.
[0109] The standard visible angle range of each landmark object can be obtained from the cloud server or the network. The landmark object with the highest matching degree in the matching result of the actual visible angle range of the preset vehicle and the standard visible angle range is selected as the target landmark object.
[0110] Further, the feature information of the target landmark object, such as the building name, building color, building size, building shape, and building area, is obtained from the cloud server or the network. The navigation prompt information containing the feature information of the target landmark object is generated, and finally the generated navigation prompt information is sent to the cloud server and stored. During the navigation driving process, when the preset vehicle travels to a position 100 meters away from the next target road point, the navigation prompt information generation device 200 can directly obtain the navigation prompt information containing the target landmark object from the cloud server and perform voice broadcast, text display broadcast, or image broadcast.
[0111] The implementation principle of the navigation prompt information generation device 200 of the present embodiment is similar to that of any one of the above-mentioned embodiments 1-3, and will not be repeated here.
[0112] This embodiment provides a navigation prompt information generation device. It acquires the matching results of the actual visible angle range of each landmark relative to the vehicle and the standard visible angle range of the landmark as the vehicle travels to the next target waypoint using a data acquisition unit. The device determines the target landmark and generates navigation prompt information based on the feature information of the target landmark. This solves the problem of existing methods where unreasonable landmark selection leads to unclear guidance information, causing drivers to miss intersections or have difficulty finding their destination. This invention selects a suitable landmark as a guide point by matching the actual and standard visible angle ranges, and extracts the feature information of the landmark as natural language guidance content, thereby improving the reliability, accuracy, and rationality of navigation prompts and enhancing the driver's driving experience.
[0113] Example 5
[0114] like Figure 8 As shown, this embodiment provides a vehicle, including the navigation prompt information generation device 200 of embodiment 4.
[0115] Specifically, the vehicle can be a regular sedan, a large truck, an inspection vehicle, a bus, a transport vehicle, or a lorry, etc. This embodiment does not impose specific limitations on the model and size of the vehicle. The vehicle may include one, two, or three navigation prompt information generating devices 200.
[0116] If one of the navigation prompt information generation devices 200 malfunctions, the remaining devices can be used as backups. The data acquisition unit 1 in each preset vehicle's navigation prompt information generation device 200 automatically retrieves navigation route data from a cloud server or network based on the driver's input of the origin and destination. After comparing the standard visible angle range of the landmark object with the actual visible angle range of the landmark object relative to the preset vehicle, the target landmark object is selected, navigation prompt information corresponding to the feature information of the target landmark object is generated, and sent to the cloud server or stored locally.
[0117] During the vehicle's journey, when it is 100 meters away from the next target waypoint, the vehicle can receive navigation prompt information generated by the navigation prompt information generator 200, which retrieves navigation prompt information containing the target landmark from the cloud server or local device, and broadcasts it via voice.
[0118] It should be noted that the vehicle can also display the navigation prompt in text form, or in a combination of static and dynamic images, at the target location inside the vehicle.
[0119] The embodiment provides a vehicle, and a driver solves the problem that navigation information provided by an existing navigation method is inaccurate and brings great difficulty to the determination of a travel route for the driver by using a navigation prompt information generation device installed on the vehicle, and the driving experience of the driver is improved.
[0120] Embodiment 6
[0121] Figure 9 A structural schematic diagram of an electronic device provided in the embodiment 6 of the present application is provided. The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the navigation prompt information generation method in any one of the embodiments 1-3 when executing the program.
[0122] Figure 9 The electronic device 90 shown is merely an example and should not bring any limitation to the function and use range of the embodiment of the present application.
[0123] As shown in Figure 9 The electronic device 90 can be in the form of a general computing device, for example, it can be a server device. The components of the electronic device 90 can include but are not limited to the above-mentioned at least one processor 91, the above-mentioned at least one memory 92, and a bus 93 connecting different system components including the memory 92 and the processor 91.
[0124] The bus 93 includes a data bus, an address bus, and a control bus.
[0125] The memory 92 can include a volatile memory, for example, a random access memory (RAM) 921 and / or a cache memory 922, and can further include a read-only memory (ROM) 923.
[0126] The memory 92 can further include a program / utility 925 having a set of program modules 924, such as an operating system, one or more application programs, other program modules, and program data, and each of these examples, or some combination thereof, can include implementation of a network environment.
[0127] The processor 91 performs various function applications and data processing by running the computer program stored in the memory 92, for example, the navigation prompt information generation method in any one of the embodiments 1-3 of the present application.
[0128] The electronic device 90 can also communicate with one or more external devices 94 such as a keyboard or a pointing device, among others. This communication can occur via Input / Output (I / O) interface 95. Additionally, the electronic device 90 can communicate with one or more networks, such as a Local Area Network (LAN), a Wide Area Network (WAN), and / or a public network such as the Internet, via network adapter 96. As Figure 9 illustrated, network adapter 96 communicates with the other components of the electronic device 90 via bus 93. It should be understood that although not shown, other hardware and / or software components could be used in conjunction with the electronic device 90. These components, for example, include but are not limited to, microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc.
[0129] It should be noted that although the above detailed description refers to several units / modules or sub-units / modules of the electronic device, such a division is merely exemplary and not mandatory. Indeed, according to embodiments of the application, the features and functionalities of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functionalities of one unit / module described above can be further divided into several units / modules embodied by several units / modules.
[0130] Embodiment 7
[0131] The embodiment provides a computer readable storage medium, and the computer readable storage medium stores a computer program. The computer program is executed by a processor to implement the steps in the navigation prompt information generation method in any one of embodiments 1-3.
[0132] In which, the readable storage medium can adopt more specific can include but not limited to: portable disk, hard disk, random access memory, read-only memory, erasable programmable read-only memory, optical storage device, magnetic storage device or any suitable combination of the above.
[0133] In possible implementation manners, the application can also be implemented in the form of a program product, which includes program code for causing a terminal device to execute the steps in the navigation prompt information generation method in any one of embodiments 1-3 when the program product is run on the terminal device.
[0134] In which, the program code for executing the application can be written in any combination of one or more programming languages, and the program code can be executed entirely on the user device, partially on the user device, as a separate software package, partially on the user device and partially on a remote device, or entirely on a remote device.
[0135] Although the specific embodiments of the present application have been described above, it is understood by those skilled in the art that the present application is only illustrated by way of example, and the scope of protection of the present application is defined by the appended claims. Those skilled in the art can make various changes or modifications to the embodiments without departing from the principles and essence of the present application, and such changes and modifications fall within the scope of protection of the present application.
Claims
1. A method of generating navigation prompting information, characterized by, The generating method comprises: acquiring navigation route data; the navigation route data comprises a plurality of target points; receiving position information and feature information of a plurality of landmark objects within a preset area range of a next target point in a preset vehicle driving direction; based on the position information, acquiring an actual visible angle range of each landmark object relative to the preset vehicle when the preset vehicle drives to the next target point; acquiring a standard visible angle range of each landmark object; the standard visible angle range is an angle range of the landmark object observed on any road; based on a matching result of the actual visible angle range and the standard visible angle range, screening a target landmark object from the landmark objects; generating navigation prompt information according to the feature information of the target landmark object.
2. The navigation prompt information generating method according to claim 1, wherein the step of acquiring the actual visible angle range of each landmark object relative to the preset vehicle when the preset vehicle drives to the next target point comprises: calculating a course angle of the preset vehicle driving to the next target point based on an azimuth angle of the preset vehicle in the driving direction; and determining the actual visible angle range according to the course angle.
3. The navigation prompt information generating method according to claim 2, wherein the step of calculating the course angle of the preset vehicle driving to the next target point based on the azimuth angle of the preset vehicle in the driving direction comprises: if the azimuth angle is less than 180°, calculating the course angle according to a preset first parameter and the azimuth angle; and if the azimuth angle is greater than 180°, calculating the course angle according to a preset second parameter and the azimuth angle.
4. The navigation prompt information generating method according to claim 2, wherein the step of determining the actual visible angle range according to the course angle comprises: acquiring a preset buffer angle; and calculating the actual visible angle range according to the buffer angle and the azimuth angle.
5. The navigation prompt information generating method according to claim 1, wherein the feature information comprises a feature value, and after the step of receiving the position information and feature information of a plurality of landmark objects within a preset area range of a next target point in a preset vehicle driving direction, the method further comprises: regarding the landmark object with a feature value greater than a first threshold value as a candidate landmark object; and in the step of screening the target landmark object from the landmark objects based on a matching result of the actual visible angle range and the standard visible angle range, the target landmark object is screened based on the candidate landmark object.
6. The navigation prompt information generating method according to claim 1, wherein the step of screening the target landmark object from the landmark objects based on a matching result of the actual visible angle range and the standard visible angle range comprises: regarding one landmark object with the highest matching degree in the matching result as the target landmark object; or selecting a plurality of the landmark objects with the highest matching degrees in the matching results as preliminary landmark objects; selecting the preliminary landmark object closest to the preset vehicle as the target landmark object. 7.The method of claim 1, wherein the feature information further comprises color information, appearance information, and name information, and the generating of the navigation prompt information based on the feature information of the target landmark object comprises: extracting the color information, the appearance information, and the name information of the target landmark object; and generating the navigation prompt information based on the color information, the appearance information, and the name information. The generating device comprises: a data acquisition unit, 8. A navigation prompting information generation device characterized by comprising: one or more processors in communication connection with the data acquisition unit and a memory; the memory is configured to store instructions, when the instructions are executed by the one or more processors, the one or more processors execute the steps, the steps comprising: obtaining navigation route data; the navigation route data comprises a plurality of target waypoints; receiving position information and feature information of a plurality of landmark objects within a preset area range of a next target waypoint in a preset vehicle driving direction; based on the position information, obtaining an actual visible angle range of each landmark object relative to the preset vehicle when the preset vehicle drives to the next target waypoint; obtaining a standard visible angle range of each landmark object; the standard visible angle range is an angle range of the landmark object observed on any road; based on the matching results of the actual visible angle range and the standard visible angle range, screening a target landmark object from the landmark objects; generating navigation prompt information according to the feature information of the target landmark object. The generating device of claim 8. The computer program stored on the computer readable storage medium is executed by the processor to realize the method of claim 1-7.
9. A vehicle characterized by comprising: 10. A computer-readable storage medium, characterized in that,
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