Overhead identification method and device

Abstract

The present invention provides a method and device for elevated road identification. Before using a barometer for elevated road identification, barometer data is collected in a specific area before a detection point. By performing abnormality detection and / or window detection on the barometer data, the current scene of the barometer is determined, and it is judged whether the barometer data can be used for elevated road identification. This solves the problem of low accuracy due to external factors when using a barometer for elevated road identification, effectively improves the accuracy of elevated road identification, and thus enhances user experience.

Description

Technical Field

[0001] The present invention relates to the field of positioning technology, and more specifically, to an elevated identification method and device. Background Art

[0002] Travel applications (such as map navigation applications) have been deeply integrated into people's lives, and their functions are becoming more and more complete. People also have higher and higher requirements for the accuracy of the services provided by travel applications.

[0003] There are usually elevated roads (hereinafter referred to as elevated roads) in cities. When a user drives on an elevated road, it is necessary to identify whether the user is on the elevated road or under the elevated road in order to provide the user with accurate travel services, such as accurate navigation guidance instructions.

[0004] There are two commonly used methods for high-altitude identification in the prior art. One is to use the barometer on the mobile phone for high-altitude identification. This method does not consider the impact of the external environment on the barometer. For example, under conditions such as open windows, air conditioning in the car, and different seasons, the height value of the barometer is unreliable and can easily lead to misjudgment. The other is to use the signal-to-noise ratio (SNR) in the satellite positioning signal, but this method requires more external information.

[0005] Therefore, a method for overhead recognition is needed that can ensure the accuracy of overhead recognition without relying on much external information. Summary of the invention

[0006] In view of this, the purpose of the present invention is to provide a method and device for elevated road identification, which is used to solve the problem of low accuracy caused by external factors when using a barometer for elevated road identification. By performing abnormality detection and / or window detection on barometer data, the accuracy of elevated road identification can be effectively improved.

[0007] In order to solve the above technical problems, the proposed solutions are as follows:

[0008] An elevated identification method, applied to a mobile terminal, comprising:

[0009] Acquire a navigation planning route, and an elevated detection point and a first detection distance and a second detection distance through which the navigation planning route passes, wherein the first detection distance is greater than the second detection distance;

[0010] Based on the real-time positioning position of the mobile terminal, determining whether the distance from the mobile terminal to the elevated detection point located in front of the mobile terminal reaches the first detection distance, and if so, starting to record the barometer data output by the barometer of the mobile terminal;

[0011] Based on the real-time positioning position of the mobile terminal, determine whether the distance from the mobile terminal to the elevated detection point reaches the second detection distance. If so, determine whether the barometer data is credible based on the recorded barometer data. If credible, perform elevated identification based on the recorded barometer data.

[0012] Preferably, judging whether the barometer data is credible based on the recorded barometer data includes:

[0013] Based on the recorded barometer data, it is determined whether the working state of the barometer is normal. If so, it is determined whether the working environment of the barometer is normal. If so, it is determined that the barometer data is credible.

[0014] Preferably, judging whether the working state of the barometer is normal based on the recorded barometer data includes:

[0015] determining an elevation curve of the barometer based on the recorded barometer data;

[0016] Based on the height curve, determining a maximum elevation difference;

[0017] Determine whether the maximum altitude difference is greater than a first threshold value, if so, the working state of the barometer is abnormal, if not, determine the altitude standard deviation based on the altitude curve of the barometer;

[0018] It is determined whether the height standard deviation is greater than a second threshold value. If so, the working state of the barometer is abnormal. If not, the working state of the barometer is normal.

[0019] Preferably, when the barometer is in normal working state, the method further comprises:

[0020] while recording the barometer data, recording the speed of the mobile terminal;

[0021] determining a speed change curve based on the speed of the mobile terminal;

[0022] Determine whether the maximum elevation difference is greater than a third threshold, and the third threshold is less than the first threshold;

[0023] If it is not greater than, the barometer is currently in the window-closed scene, confirming the high-altitude identification;

[0024] If it is greater than, calculating the speed-altitude change correlation coefficient according to the height change curve and the speed change curve, and judging whether the speed-altitude change correlation coefficient is greater than a preset coefficient threshold;

[0025] If it is greater than, the barometer is currently in the window-opening scene and no longer performs elevated identification;

[0026] If it is not greater than, the barometer is currently in the window closing scene, confirming the overhead recognition.

[0027] Preferably, judging whether the working state of the barometer is normal based on the recorded barometer data includes: acquiring barometer data of multiple positioning positions, weighting the barometer data according to time freshness, and judging whether the working state of the barometer is normal based on the weighted barometer data.

[0028] An elevated identification device, comprising:

[0029] An information collection unit, used for acquiring a navigation planning route, and an elevated detection point where the navigation planning route passes through an elevated road, and a first detection distance and a second detection distance, wherein the first detection distance is greater than the second detection distance;

[0030] a data recording unit, configured to determine, based on the real-time positioning position of the mobile terminal, whether the distance from the mobile terminal to the elevated detection point located in front of the mobile terminal reaches the first detection distance, and if so, start recording the barometer data output by the barometer of the mobile terminal;

[0031] The elevated identification unit is used to determine whether the distance from the mobile terminal to the elevated detection point reaches the second detection distance based on the real-time positioning position of the mobile terminal. If so, it determines whether the barometer data is credible based on the recorded barometer data. If credible, it performs elevated identification based on the recorded barometer data.

[0032] An overhead identification device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of an overhead identification method when executing the computer program.

[0033] A computer-readable storage medium stores a computer program, wherein the computer program implements the steps of an overhead recognition method when executed by a processor.

[0034] It can be seen from the above technical solutions that the method for elevated road identification provided in the embodiment of the present application collects barometer data in a specific area before the detection point before using the barometer for elevated road identification, and determines the current scene of the barometer by performing abnormality detection and / or window detection on the barometer data, determines whether the barometer data is available, and confirms whether to perform elevated road identification, thereby solving the problem of low accuracy due to external factors when using a barometer for elevated road identification, effectively improving the accuracy of elevated road identification, and thereby improving user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0036] Figure 1 It is one of the flow charts of the method for elevated identification of the present invention.

[0037] Figure 2 This is the second flow chart of the method for elevated identification of the present invention.

[0038] Figure 3 It is a flow chart of an abnormality detection method of the overhead identification method of the present invention.

[0039] Figure 4 It is a flow chart of the window detection method of the elevated identification method of the present invention.

[0040] Figure 5 It is one of the structural schematic diagrams of the overhead identification device of the present invention.

[0041] Figure 6 This is the second structural schematic diagram of the overhead identification device of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] The elevated road identification method provided by the present invention is applicable to the field of positioning technology, especially the field of positioning technology involving elevated road scenes in cities, and is used for intelligently identifying whether a user is on an elevated road.

[0044] The elevated scene refers to the scene when the user is navigating a route near an elevated bridge in the city. Electronic maps usually use latitude and longitude to determine the user's location, and generally do not include altitude information. When there is an elevated bridge above the user's location, or even a multi-story elevated bridge, it will be impossible to identify whether the user is on the elevated bridge or under the elevated bridge, and it will be impossible to determine whether the user is on the ground or on which floor of the elevated bridge. When facing the elevated scene, electronic maps are prone to road tracking errors, wrong deviations, detours, etc. because the roads on and under the elevated bridge are close.

[0045] like Figure 1 and Figure 2As shown, the present invention provides a method for identifying an elevated road, which is applied to a mobile terminal and specifically includes:

[0046] Step 101, obtaining a navigation planning route, and an elevated detection point where the navigation planning route passes through an elevated road, and a first detection distance and a second detection distance, wherein the first detection distance is greater than the second detection distance.

[0047] Specifically, first, the user terminal receives the route application request input by the user and sends it to the server. The route application request includes the user's current location (i.e., the route starting point) and the location the user wants to reach (i.e., the route end point); the server receives the user's route application request, performs navigation route planning based on the route starting point and end point information, and feeds back the generated navigation planning route to the user terminal. The navigation planning route generated here can be one or more.

[0048] The user terminal receives the navigation planning route generated by the server and displays it to the user through a display screen; the user confirms or selects the navigation planning route, and the navigation planning route selected by the user is used as the route for elevated identification.

[0049] The user terminals here include but are not limited to: mobile phones, PDAs, computers, notebooks, smart wearable devices, etc.

[0050] The user's planned navigation route, current location, and the detection point location of the elevated road determined to be passed in the planned navigation route are obtained, and a first detection distance and a second detection distance located before the detection point location are determined.

[0051] The detection point refers to the point that needs to be identified based on the road network elevation information, which can determine the elevated road included in the navigation planning route. The method of measuring the road network elevation here is usually calculated based on the average sea level, which means the vertical distance of a certain point on the ground above the sea level.

[0052] The detection distance refers to the distance from the detection point to the position where a certain height difference occurs. The first detection distance and the second detection distance are set. The first detection distance is greater than the second detection distance, and the barometer data can be effectively obtained.

[0053] For example, the location of the elevated detection point in the user's navigation planning route is obtained. The user's navigation planning route may include multiple detection point locations. For each detection point, a second detection distance is set. The second detection distance is set based on the road network elevation information, and the position from the detection point to a certain height difference is selected as the starting point of the second detection distance. Then, based on the starting point of the second detection distance, a position at a certain distance D is set as the starting point of the first detection distance to start the collection of mobile phone barometer data.

[0054] Step 102, based on the real-time positioning position of the mobile terminal, determine whether the distance from the mobile terminal to the elevated detection point located in front of the mobile terminal reaches a first detection distance, and if so, start recording the barometer data output by the barometer of the mobile terminal.

[0055] The user terminal obtains the user's current position in real time and compares it with the starting position of the first detection distance. When the user reaches the starting point of the first detection distance, the barometer of the user terminal is started to collect data. If the user has not yet reached the starting point of the first detection distance, the user's current position is continued to be compared with the starting position of the first detection distance.

[0056] Barometer data typically includes altitude profiles, maximum altitude differences, and / or velocity profiles.

[0057] Step 103, based on the real-time positioning position of the mobile terminal, determine whether the distance from the mobile terminal to the elevated detection point reaches the second detection distance. If so, determine whether the barometer data is credible based on the recorded barometer data. If credible, perform elevated identification based on the recorded barometer data.

[0058] After the user terminal enters the first detection distance area, the user's current position continues to be obtained in real time and compared with the starting position of the second detection distance. When the user terminal reaches the starting point of the second detection distance, the user terminal is started to start abnormality detection and / or window opening detection. If the user terminal has not reached the starting point of the second detection distance, the barometer data continues to be recorded.

[0059] Based on the recorded barometer data, determine whether the barometer data is credible, including, based on the recorded barometer data, determine whether the working state of the barometer is normal, if so, determine whether the working environment of the barometer is normal, if so, determine that the barometer data is credible.

[0060] Wherein, judging whether the working state of the barometer is normal based on the recorded barometer data includes:

[0061] Based on the recorded barometer data, determine the elevation curve of the barometer; based on the elevation curve, determine the maximum elevation difference; judge whether the maximum elevation difference is greater than a first threshold value, if so, the barometer is not working properly; if not, determine the altitude standard deviation based on the altitude curve of the barometer; judge whether the altitude standard deviation is greater than a second threshold value, if so, the barometer is not working properly; if not, the barometer is working properly.

[0062] Here, elevated identification is a process that records barometer data for a period of time, for example, one barometer data is recorded every second. Based on the recorded barometer data, it is judged whether the working state of the barometer is normal, including: obtaining barometer data of multiple positioning positions within a period of time, weighting the barometer data according to the time freshness, the later the time, the greater the weight, and obtaining a final judgment result, and judging whether the working state of the barometer is normal based on the weighted barometer data.

[0063] When the barometer is in normal working condition, the speed of the mobile terminal is further recorded while recording the barometer data; the speed change curve is determined based on the speed of the mobile terminal; it is judged whether the maximum elevation difference is greater than a third threshold, and the third threshold is less than the first threshold; if not, the barometer is currently in a window-closed scene, and elevated identification is confirmed; if greater, the speed-altitude change correlation coefficient is calculated according to the height change curve and the speed change curve, and it is judged whether the speed-altitude change correlation coefficient is greater than a preset coefficient threshold; if greater, the barometer is currently in an open window scene, and elevated identification is no longer performed; if not, the barometer is currently in a window-closed scene, and elevated identification is confirmed.

[0064] like Figure 3 and Figure 4 As shown, to determine whether the barometer data is credible, first perform anomaly detection to determine whether the barometer data is within the normal fluctuation range. If it is not within the normal fluctuation range, it means that the acquired barometer data has a large error and cannot be used as a basis for elevated identification, and elevated identification is no longer performed; if it is within the normal fluctuation range, start window opening detection.

[0065] The anomaly detection method specifically includes:

[0066] Get the height change curve and maximum height difference from the barometer data;

[0067] Determining whether the maximum elevation difference is greater than a first preset threshold;

[0068] If the maximum elevation difference is greater than the first preset threshold, it is considered that the barometer data is not within the normal fluctuation range and no elevated identification is performed;

[0069] If the maximum elevation difference is less than or equal to the first preset threshold, further calculating the standard deviation of the height change curve to determine whether the standard deviation is greater than the second preset threshold;

[0070] If the standard deviation of the altitude change curve is greater than a second preset threshold, it is considered that the barometer data is not within the normal fluctuation range and no elevated identification is performed;

[0071] If the standard deviation of the altitude change curve is less than or equal to the second preset threshold, it is considered that the barometer data is within a normal fluctuation range, and the window opening detection is started.

[0072] Other statistical features of the barometer elevation curve, such as variance and slope, can also be used in anomaly detection.

[0073] Next, to determine whether the working status of the barometer is normal, a window opening test is required. Based on the barometer data, it is determined whether the current air pressure value is in a state that is easily affected by the outside world. If it is in a state that is easily affected by the outside world, it is considered that the barometer is currently in a window-opening scene. The obtained barometer data has a large error and cannot be used as a basis for elevated identification, and elevated identification is no longer performed; if it is not in a state that is easily affected by the outside world, it is considered that the barometer is currently in a window-closed scene. The obtained barometer data can be used as a basis for elevated identification, and elevated identification is confirmed.

[0074] The window opening detection method specifically includes:

[0075] Record the speed change curve after the user's current position reaches the first detection distance;

[0076] Get the height change curve and maximum height difference from the barometer data;

[0077] Determining whether the maximum elevation difference is greater than a third preset threshold;

[0078] If the maximum elevation difference is less than or equal to the third preset threshold, it is considered that the barometer is currently in the window-closed scene, and the elevated identification is confirmed;

[0079] If the maximum elevation difference is greater than the third preset threshold, the speed-altitude change correlation coefficient is further calculated according to the height change curve and the speed change curve to determine whether the speed-altitude change correlation coefficient is greater than a fourth preset threshold;

[0080] If the speed-altitude change correlation coefficient is greater than the fourth preset threshold, it is considered that the barometer is currently in an open window scenario, and elevated identification is no longer performed;

[0081] If the speed altitude change correlation coefficient is less than or equal to the fourth preset threshold, it is considered that the barometer is currently in the window-closed scene, and the elevated identification is confirmed.

[0082] In the window detection, waveform matching can also be used to determine the matching degree of two curves, or various distances between the two curves and other features that characterize the similarity of the two curves.

[0083] Here, the first preset threshold, the second preset threshold, the third preset threshold and the fourth preset threshold are all empirical values ​​pre-set in the user terminal and can reflect objective laws, and can be modified in continuous data training to make them more in line with user needs.

[0084] When it is determined that overhead recognition is no longer to be performed, the barometer data is no longer recalled.

[0085] Based on the above judgment process, determining whether to perform elevated identification can improve the utilization efficiency of barometer data, solve the problem of low accuracy when using a barometer for elevated identification due to external factors, and effectively improve the accuracy of elevated identification.

[0086] Based on the same concept of the method for identifying an elevated structure provided in the present invention, the present invention also provides a device for identifying an elevated structure, such as Figure 5 As shown, the device includes: an information collection unit 100, a data recording unit 200 and an overhead recognition unit 300.

[0087] The information collection unit 100 is used to obtain the navigation planning route, as well as the elevated detection points of the elevated road through which the navigation planning route passes, and the first detection distance and the second detection distance, wherein the first detection distance is greater than the second detection distance.

[0088] The data recording unit 200 is used to determine whether the distance from the mobile terminal to the elevated detection point located in front of the mobile terminal reaches a first detection distance based on the real-time positioning position of the mobile terminal, and if so, start recording the barometer data output by the barometer of the mobile terminal.

[0089] The elevated identification unit 300 is used to determine whether the distance from the mobile terminal to the elevated detection point reaches the second detection distance based on the real-time positioning position of the mobile terminal. If so, it determines whether the barometer data is credible based on the recorded barometer data. If credible, it performs elevated identification based on the recorded barometer data.

[0090] Based on the same concept of the method for identifying an elevated structure provided in the present invention, the present invention also provides a device for identifying an elevated structure, such as Figure 6 As shown, the device includes: a memory 101, a processor 102, and a computer program stored in the memory and executable on the processor 102. When the processor 102 executes the computer program, the steps of the optimization method for barometer high-rise identification are implemented.

[0091] Finally, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0092] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0093] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0094] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0096] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0097] The flowcharts and block diagrams in the accompanying drawings show the possible implementation architectures, functions and operations of the methods, devices and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart and block diagram can represent a module, a program segment or a portion of a code, containing one or more computer executable instructions for implementing logical functions. It should also be noted that in some alternative implementations, the functions marked in the boxes can also occur in an order different from that marked in the accompanying drawings. It should also be noted that each box or combination of boxes in the block diagram and flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

Claims

1. A method for identifying an elevated structure, wherein: The method is applied to a mobile terminal and includes: Acquire a navigation planning route, and an elevated detection point position of the navigation planning route passing through the elevated road, a first detection distance and a second detection distance located before the elevated detection point position, wherein the first detection distance is greater than the second detection distance; Based on the real-time positioning position of the mobile terminal, determining whether the distance from the mobile terminal to the elevated detection point located in front of the mobile terminal reaches the first detection distance, and if so, starting to record the barometer data output by the barometer of the mobile terminal; Based on the real-time positioning position of the mobile terminal, determine whether the distance from the mobile terminal to the elevated detection point reaches the second detection distance. If not, continue to record the barometer data; if yes, perform anomaly detection and / or window opening detection based on the recorded barometer data to determine whether the barometer data is credible. If credible, perform elevated identification based on the recorded barometer data.

2. The method according to claim 1, wherein: The determining whether the barometer data is credible based on the recorded barometer data includes: Based on the recorded barometer data, it is determined whether the working state of the barometer is normal. If so, it is determined whether the working environment of the barometer is normal. If so, it is determined that the barometer data is credible.

3. The method according to claim 2, wherein: The determining, based on the recorded barometer data, whether the working state of the barometer is normal includes: Based on the recorded barometer data, determining a height variation curve of the barometer; Based on the height change curve, determining a maximum elevation difference; Determine whether the maximum altitude difference is greater than a first threshold value, if so, the working state of the barometer is abnormal, if not, determine the altitude standard deviation based on the altitude change curve of the barometer; It is determined whether the height standard deviation is greater than a second threshold value. If so, the working state of the barometer is abnormal. If not, the working state of the barometer is normal.

4. The method according to claim 3, wherein: When the barometer is in normal working state, the method further comprises: while recording the barometer data, recording the speed of the mobile terminal; determining a speed change curve based on the speed of the mobile terminal; Determine whether the maximum elevation difference is greater than a third threshold, and the third threshold is less than the first threshold; If it is not greater than, the barometer is currently in the window-closed scene, confirming the high-altitude identification; If it is greater than, calculating the speed-altitude change correlation coefficient according to the height change curve and the speed change curve, and judging whether the speed-altitude change correlation coefficient is greater than a preset coefficient threshold; If it is greater than, the barometer is currently in the window-opening scene and no longer performs elevated identification; If it is not greater than, the barometer is currently in the window closing scene, confirming the overhead recognition.

5. The method according to claim 2, wherein: The method of judging whether the working state of the barometer is normal based on the recorded barometer data includes: obtaining barometer data of multiple positioning positions, weighting the barometer data according to time freshness, and judging whether the working state of the barometer is normal based on the weighted barometer data.

6. An elevated identification device, wherein: The device comprises: An information collection unit, used for acquiring a navigation planning route, and an elevated detection point position where the navigation planning route passes through an elevated road, a first detection distance and a second detection distance located before the elevated detection point position, wherein the first detection distance is greater than the second detection distance; a data recording unit, configured to determine, based on the real-time positioning position of the mobile terminal, whether the distance from the mobile terminal to the elevated detection point located in front of the mobile terminal reaches the first detection distance, and if so, start recording the barometer data output by the barometer of the mobile terminal; The elevated identification unit is used to determine whether the distance from the mobile terminal to the elevated detection point reaches the second detection distance based on the real-time positioning position of the mobile terminal. If not, continue to record the barometer data; if yes, perform anomaly detection and / or window opening detection based on the recorded barometer data to determine whether the barometer data is credible. If credible, perform elevated identification based on the recorded barometer data.

7. An overhead identification device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing a computer program, wherein: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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