WO2018228167A1 - 导航方法及相关产品 - Google Patents
导航方法及相关产品 Download PDFInfo
- Publication number
- WO2018228167A1 WO2018228167A1 PCT/CN2018/088451 CN2018088451W WO2018228167A1 WO 2018228167 A1 WO2018228167 A1 WO 2018228167A1 CN 2018088451 W CN2018088451 W CN 2018088451W WO 2018228167 A1 WO2018228167 A1 WO 2018228167A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- message record
- routes
- values
- probability
- place names
- Prior art date
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3423—Multimodal routing, i.e. combining two or more modes of transportation, where the modes can be any of, e.g. driving, walking, cycling, public transport
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3446—Details of route searching algorithms, e.g. Dijkstra, A*, arc-flags, using precalculated routes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3605—Destination input or retrieval
- G01C21/3608—Destination input or retrieval using speech input, e.g. using speech recognition
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3605—Destination input or retrieval
- G01C21/3617—Destination input or retrieval using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3626—Details of the output of route guidance instructions
- G01C21/3647—Guidance involving output of stored or live camera images or video streams
Definitions
- the present application relates to the field of electronic device technologies, and in particular, to a navigation method and related products.
- smartphones can support more and more applications and become more powerful. Smartphones are becoming more and more indispensable in the life of users. More and more research shows that how software works and how users use smartphones is a key factor in determining system energy consumption and efficiency.
- the embodiment of the present application provides a navigation method and related products, which can provide an intelligent navigation route for a user to facilitate user travel.
- an embodiment of the present application provides a navigation method, including:
- N is a positive integer
- M is a positive integer not less than the N
- a target route is selected from the M routes.
- an embodiment of the present application provides a navigation apparatus, including:
- a parsing unit configured to parse the message record to obtain a starting position and a destination position
- a planning unit configured to perform path planning on the starting point location and the destination location by using N pre-installed map applications, to obtain M routes, where N is a positive integer, and the M is not less than the positive of the N Integer
- a unit for selecting a target route from the M routes a unit for selecting a target route from the M routes.
- an embodiment of the present application provides an electronic device, including: a processor and a memory; and one or more programs, where the one or more programs are stored in the memory, and configured to be The processor executes, the program comprising instructions for performing some or all of the steps as described in the first aspect of the embodiments of the present application.
- an embodiment of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes the computer to execute as implemented in the present application.
- an embodiment of the present application provides a computer program product, where the computer program product includes a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to execute Apply some or all of the steps described in the first aspect of the embodiment.
- the computer program product can be a software installation package.
- the message record is obtained, the message record is parsed, the starting point position and the destination position are obtained, and the path planning of the starting point position and the destination position is performed by using the N map applications installed in advance, and M routes are obtained.
- N is a positive integer
- M is a positive integer not less than N
- the target route is selected from the M routes, so that the starting position and the destination position can be extracted from the message record, and then navigation is performed according to the user, thereby avoiding the user opening the navigation application.
- the target route is selected from the M routes, so that the starting position and the destination position can be extracted from the message record, and then navigation is performed according to the user, thereby avoiding the user opening the navigation application.
- FIG. 1 is a schematic flow chart of a navigation method disclosed in an embodiment of the present application.
- FIG. 2 is a schematic flow chart of another navigation method disclosed in an embodiment of the present application.
- FIG. 3 is a schematic structural diagram of a navigation device according to an embodiment of the present application.
- FIG. 3b is a schematic structural diagram of an analysis unit of the navigation device described in FIG. 3a disclosed in the embodiment of the present application; FIG.
- FIG. 3c is a schematic structural diagram of a first determining module of the parsing unit described in FIG. 3b disclosed in the embodiment of the present application;
- 3d is a schematic structural diagram of a selection unit of the navigation device described in FIG. 3a disclosed in the embodiment of the present application;
- FIG. 3e is a schematic structural diagram of an evaluation module of the selection unit described in FIG. 3d disclosed in the embodiment of the present application;
- FIG. 3f is a schematic structural diagram of still another modification of the navigation device described in FIG. 3a disclosed in the embodiment of the present application.
- FIG. 4 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application.
- FIG. 5 is a schematic structural diagram of another electronic device disclosed in the embodiment of the present application.
- references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the present application.
- the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
- the electronic device involved in the embodiments of the present application may include various handheld devices having wireless communication functions, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to the wireless modem, and various forms of user devices (user Equipment, UE), mobile station (MS), terminal device, etc.
- user Equipment user Equipment
- MS mobile station
- terminal device etc.
- the devices mentioned above are collectively referred to as electronic devices.
- the embodiments of the present application are described in detail below.
- the electronic device in the embodiment of the present application may be installed with an artificial intelligence (AI), and the AI module may be installed in the electronic device separately from the processor, or may be integrated with the processor.
- the AI module can be a quantum chip, or a high-density silicon integrated circuit, and an AI module can store a machine learning algorithm for training user habits (message records) and deep learning of user habits, thereby Intelligent control of electronic devices is achieved through artificial intelligence modules.
- FIG. 1 is a schematic flowchart diagram of an embodiment of a navigation method according to an embodiment of the present application.
- the source of the message record may be as follows: for example, the short message record may be from a short message forwarded by the base station, and the voice record may be from the voice information of the chat record of the instant messaging tool, and the chat record may be from an instant messaging tool (WeChat, QQ, etc.) Text record.
- the short message record may be from a short message forwarded by the base station
- the voice record may be from the voice information of the chat record of the instant messaging tool
- the chat record may be from an instant messaging tool (WeChat, QQ, etc.) Text record.
- the message is recorded as a message record in a preset time period, and the message record includes at least one of the following: a short message record, a voice record, and a chat record.
- the message record may include, but is not limited to, a short message record, a voice record, a chat record, and the like, and the message is recorded as a message record within a preset time period, for example, the last hour, the last half day, and the like.
- the message record in step 101 can be a message record within a preset time period.
- the above preset time period can be set by the user or the system defaults. For example, a message is recorded within 10 minutes.
- the message record there may be a starting point position and a destination position in the message record, so that the message record can be parsed, and the starting point position and the destination position are identified from the message record.
- the message record can be parsed, and the starting point position and the destination position are identified from the message record.
- QQ we chat with QQ.
- friends we may meet with friends.
- the message record is parsed to obtain a starting position and a destination position, and the following steps may be included:
- the message record may contain multiple places. Therefore, N place names in the message record may be extracted first, and N is an integer greater than or equal to 2, and then, the message records of each place name in the N place names may be combined.
- the context determines which place is called the starting point and which is called the destination.
- step 22 determining the starting position and the destination location in combination with the context of the message record in each of the N geographical names, the method may include the following steps:
- N place names may have relatively large place names, which may result in ambiguous positioning.
- the place name may be filtered out. For example, if the name is in the United States, the United States is large, and the location cannot be clearly located.
- M place names are left, and M is an integer smaller than N and not less than 2.
- semantic analysis may be performed by combining the context M names of the message records in each of the M place names, to obtain at least one keyword, and the probability value corresponding to the starting point and the probability value of the end point are obtained according to the keyword, In this process, the correspondence between the keyword and the probability may be preset. For example, if “to”, the probability value of the end point is 85%, and the probability value of the starting point is 15%.
- the place name A has a "departure" in its similar context, it may be the starting position, the place name B, and its similar context appears to "go", then it may be the destination.
- the first probability value named start point and the second probability value of the end point of each of the M place names may be replaced, and thus, M first probability values and M second probability values are obtained, from the M
- the first probability value and the maximum second probability value are selected from the first probability value and the M second probability values, and the place name corresponding to the maximum first probability value may be regarded as the starting position, and the place name corresponding to the largest second probability value It can be considered as the destination location.
- the starting position and the destination position can be analyzed, and the electronic device can be conveniently navigated through the two positions.
- the map application can be at least one of the following: google map, Baidu map, high German map, and the like.
- N map applications can be installed in the electronic device, and the N map applications can be used to path the starting point and the destination position to obtain M routes, N is a positive integer, and M is a positive integer not less than N, because for a map
- N map applications it is possible to obtain more than N routes.
- step 102 the following steps may be further included:
- step 103 Obtaining a confirmation instruction input by the user for the starting point position and the destination position; when the starting position and the destination position are successfully confirmed, the step 103 is performed.
- the starting point position and the destination position analyzed by the electronic device may also have a certain deviation.
- the confirmation command for the starting point position and the destination position input by the user may be acquired, if the starting point position and purpose
- step 103 can be performed.
- the user can also modify the starting position and the destination position, so that navigation can be implemented more accurately.
- the user will select a route as the final navigation route, so one route can be selected from the M routes, that is, the target route.
- the target route may be the shortest route, and for example, the target route may be the navigation route with the least traffic light, and for example, the target route may be the navigation route with the least traffic flow.
- selecting a target route from the M routes may include the following steps:
- the usage habit data includes at least one of the following: a map application usage count, a map application usage time, and a map application preference navigation manner.
- the usage habit data may include, but is not limited to, a map application usage count and a map application usage. Time, map application preferences navigation (self-driving, walking, etc.) and more.
- User appearance data may include, but is not limited to, travel time, travel time corresponding to travel time, and the like.
- N sets of usage habit data corresponding to N map applications can be obtained, each map application corresponding to a set of usage habit data, and user travel data, and each route of the M routes is evaluated according to the N sets of usage habit data and user travel data. Obtaining M evaluation values, selecting the largest evaluation value from the M evaluation values, and using the corresponding route as the target route.
- the method of evaluating each of the M routes according to the N sets of usage habit data and the user travel data, to obtain the M evaluation values may include the following steps:
- the weight value of each route in the M routes may be determined according to the usage data of the N groups, and the M first weight values are obtained, and the weight values of each route in the M routes are determined according to the user travel data, and the M seconds are obtained.
- the weight value determines the selection probability of the M routes according to the M first weight values and the M second weight values, and obtains the M evaluation values.
- the specific manner may be: taking the route C as an example, and assuming the corresponding first weight value. For c1, the second weight value is c2, and the product of c1 and c2 is used as the evaluation value of route C.
- the message record is obtained, the message record is parsed, the starting point position and the destination position are obtained, and the path planning of the starting point position and the destination position is performed by using the N map applications installed in advance, and M routes are obtained.
- N is a positive integer
- M is a positive integer not less than N
- the target route is selected from the M routes, so that the starting position and the destination position can be extracted from the message record, and then navigation is performed according to the user, thereby preventing the user from opening the navigation application.
- the target route is selected from the M routes, so that the starting position and the destination position can be extracted from the message record, and then navigation is performed according to the user, thereby preventing the user from opening the navigation application.
- FIG. 2 is a schematic flowchart diagram of an embodiment of a navigation method according to an embodiment of the present application.
- the navigation method described in this embodiment includes the following steps:
- step 201 - step 204 can refer to the corresponding steps of the navigation method described in FIG. 1 , and details are not described herein again.
- map application corresponding to the target route can be adjusted, and of course, other unnecessary map applications can be closed, and then the target route is displayed on the display interface of the electronic device.
- the message record is obtained, the message record is parsed, the starting point position and the destination position are obtained, and the path planning of the starting point position and the destination position is performed by using the N map applications installed in advance, and M routes are obtained.
- N is a positive integer
- M is a positive integer not less than N.
- the target route is selected from the M routes, the map application corresponding to the target route is retrieved, and the target route is displayed on the display interface of the electronic device, thereby
- the starting point and the destination position are extracted from the message record, displayed on the display interface, and then navigated according to the user, thereby providing an intelligent navigation route for the user to travel.
- FIG. 3a is a schematic structural diagram of a navigation device according to this embodiment.
- the navigation device is applied to an electronic device, and the navigation device includes an obtaining unit 301, a parsing unit 302, a planning unit 303, and a selecting unit 304, as follows:
- the obtaining unit 301 is configured to acquire a message record.
- the parsing unit 302 is configured to parse the message record to obtain a starting position and a destination position;
- the planning unit 303 is configured to perform path planning on the starting point location and the destination location by using the N map applications installed in advance, to obtain M routes, where N is a positive integer, and the M is not less than the N Positive integer
- the selecting unit 304 is configured to select a target route from the M routes.
- FIG. 3b is a specific refinement structure of the parsing unit 302 of the navigation apparatus described in FIG. 3a, and the parsing unit 302 may include: an extracting module 3021 and a first determining module 3022, as follows:
- the extracting module 3021 is configured to extract N place names in the message record, where N is an integer greater than or equal to 2;
- the first determining module 3022 is configured to determine the starting position and the destination position in conjunction with a context of the message record in which each of the N place names is located.
- FIG. 3c is a specific refinement structure of the first determining module 3022 described in FIG. 3b, where the first determining module 3022 includes: a screening module 401 and a second determining module 402, as follows:
- a screening module 401 configured to filter the N place names to obtain M place names, where the M is an integer smaller than the N and not less than 2;
- a second determining module 402 configured to perform semantic analysis on the M place names in combination with a context of the message record in which each of the M place names is located, and determine a name of each of the M place names a probability value sum and a second probability value that is an end point, and the M first probability values and the M second probability values are obtained;
- the second determining module 402 is further configured to:
- FIG. 3d is a specific refinement structure of the selecting unit 304 of the navigation device described in FIG. 3a, and the selecting unit 304 may include: an obtaining module 3041, an evaluating module 3042, and a selecting module 3043, as follows: :
- the obtaining module 3041 is configured to acquire the N sets of usage habit data and the user travel data corresponding to the N map applications;
- the evaluation module 3042 is configured to evaluate each of the M routes according to the N sets of usage habit data and the user travel data, to obtain the M evaluation values;
- the selecting module 3043 is configured to select a maximum evaluation value from the M evaluation values, and use a corresponding route as the target route.
- FIG. 3e is a specific refinement structure of the evaluation module 3042 described in FIG. 3d, and the evaluation module 3042 may include: a third determining module 411 and a fourth determining module 412, as follows:
- a third determining module 411 configured to determine, according to the N sets of usage habit data, a weight value of each of the M routes, to obtain the M first weight values
- the third determining module 411 is further configured to:
- the fourth determining module 412 is configured to determine a selection probability of the M routes according to the M first weight values and the M second weight values, to obtain the M evaluation values.
- the usage habit data includes at least one of the following: a map application usage time, a map application usage time, and a map application preference navigation manner.
- FIG. 3f is a further modification of the navigation device described in FIG. 3a.
- the display unit 305 may further include:
- the display unit 305 is configured to retrieve a map application corresponding to the target route, and display the target route on a display interface of the electronic device.
- the message is recorded as a message record in a preset time period, and the message record includes at least one of the following: a short message record, a voice record, and a chat record.
- the obtaining unit 301 is further configured to acquire a confirmation instruction input by the user for the starting point position and the destination position; and the planning unit 303 confirms the success at the starting position and the destination position. And performing path planning on the starting position and the destination position by using the N map applications installed in advance, to obtain M routes, where N is a positive integer, and the M is not less than the positive of the N The step of an integer.
- FIG. 4 is an electronic device according to an embodiment of the present application, including: a processor and a memory; and one or more programs, where the one or more programs are stored in the memory and are Configuring to be executed by the processor, the program comprising instructions for performing the following steps;
- N is a positive integer
- M is a positive integer not less than the N
- a target route is selected from the M routes.
- the instructions in the program are specifically configured to perform the following steps:
- the starting point position and the destination position are determined in conjunction with a context of the message record in which each of the N place names is located.
- the instructions in the program are specifically used in the context of determining the start position and the destination position in conjunction with the context of the message record in which each of the N place names is located. Perform the following steps:
- the instructions in the program are specifically configured to perform the following steps:
- a maximum evaluation value is selected from the M evaluation values, and a corresponding route is taken as the target route.
- the M evaluation values are obtained, in the program
- the instructions are specifically used to perform the following steps:
- the embodiment of the present application further provides another electronic device. As shown in FIG. 5, for the convenience of description, only the parts related to the embodiment of the present application are shown. If the specific technical details are not disclosed, refer to the method of the embodiment of the present application. section.
- the electronic device may be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), an in-vehicle computer, and the like, and the electronic device is used as a mobile phone as an example:
- FIG. 5 is a block diagram showing a partial structure of a mobile phone related to an electronic device provided by an embodiment of the present application.
- the mobile phone includes: a radio frequency (RF) circuit 910, a memory 920, an input unit 930, a sensor 950, an audio circuit 960, a Wireless Fidelity (WiFi) module 970, a processor 980, and a power supply 990.
- RF radio frequency
- the structure of the handset shown in FIG. 5 does not constitute a limitation to the handset, and may include more or less components than those illustrated, or some components may be combined, or different components may be arranged.
- the input unit 930 can be configured to receive input numeric or character information and to generate key signal inputs related to user settings and function controls of the handset.
- the input unit 930 can include a touch display screen 933, a biometric device 931, and other input devices 932.
- the biometric device 931 can be a fingerprint recognition device, an iris recognition device, or a face recognition device.
- Input unit 930 can also include other input devices 932.
- other input devices 932 may include, but are not limited to, one or more of physical buttons, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, joysticks, and the like.
- the processor 980 is configured to perform the following operations:
- N is a positive integer
- M is a positive integer not less than the N
- a target route is selected from the M routes.
- the processor 980 is the control center of the handset, which connects various portions of the entire handset using various interfaces and lines, by executing or executing software programs and/or modules stored in the memory 920, and invoking data stored in the memory 920, executing The phone's various functions and processing data, so that the overall monitoring of the phone.
- the processor 980 may include one or more processing units; optionally, the processor 980 may integrate a processor and a modem processor, where the processor mainly processes an operating system, a user interface, an application, and the like.
- the modem processor primarily handles wireless communications. It will be appreciated that the above described modem processor may also not be integrated into the processor 980.
- memory 920 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
- the RF circuit 910 can be used for receiving and transmitting information.
- RF circuit 910 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like.
- LNA Low Noise Amplifier
- RF circuitry 910 can also communicate with the network and other devices via wireless communication.
- the above wireless communication may use any communication standard or protocol, including but not limited to Global System of Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (Code Division). Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), E-mail, Short Messaging Service (SMS), and the like.
- GSM Global System of Mobile communication
- GPRS General Packet Radio Service
- CDMA Code Division Multiple Access
- WCDMA Wideband Code Division Multiple Access
- LTE Long Term Evolution
- E-mail Short Messaging Service
- the handset may also include at least one type of sensor 950, such as a light sensor, motion sensor, and other sensors.
- the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the touch display screen according to the brightness of the ambient light, and the proximity sensor can turn off the touch display when the mobile phone moves to the ear. And / or backlight.
- the accelerometer sensor can detect the magnitude of acceleration in all directions (usually three axes). When it is stationary, it can detect the magnitude and direction of gravity.
- the mobile phone can be used to identify the gesture of the mobile phone (such as horizontal and vertical screen switching, related Game, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for the mobile phone can also be configured with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors, no longer Narration.
- the gesture of the mobile phone such as horizontal and vertical screen switching, related Game, magnetometer attitude calibration
- vibration recognition related functions such as pedometer, tapping
- the mobile phone can also be configured with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors, no longer Narration.
- An audio circuit 960, a speaker 961, and a microphone 962 can provide an audio interface between the user and the handset.
- the audio circuit 960 can transmit the converted electrical data of the received audio data to the speaker 961 for conversion to the sound signal by the speaker 961; on the other hand, the microphone 962 converts the collected sound signal into an electrical signal by the audio circuit 960. After receiving, it is converted into audio data, and then processed by the audio data playback processor 980, sent to the other mobile phone via the RF circuit 910, or played back to the memory 920 for further processing.
- WiFi is a short-range wireless transmission technology
- the mobile phone can help users to send and receive emails, browse web pages, and access streaming media through the WiFi module 970, which provides users with wireless broadband Internet access.
- FIG. 5 shows the WiFi module 970, it can be understood that it does not belong to the essential configuration of the mobile phone, and may be omitted as needed within the scope of not changing the essence of the invention.
- the handset also includes a power supply 990 (such as a battery) that supplies power to the various components.
- a power supply 990 (such as a battery) that supplies power to the various components.
- the power supply can be logically coupled to the processor 980 through a power management system to manage charging, discharging, and power management functions through the power management system.
- the mobile phone may further include a camera, a Bluetooth module, and the like, and details are not described herein again.
- each step method flow can be implemented based on the structure of the mobile phone.
- each unit function can be implemented based on the structure of the mobile phone.
- the embodiment of the present application further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program causing the computer to execute part of any of the navigation methods as described in the foregoing method embodiments or All steps.
- the embodiment of the present application further provides a computer program product, comprising: a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform the operations as recited in the foregoing method embodiments Some or all of the steps of any navigation method.
- the disclosed apparatus may be implemented in other ways.
- the device embodiments described above are merely illustrative.
- the division of the unit is only a logical function division.
- there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
- the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
- the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
- each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
- the above integrated unit can be implemented in the form of hardware or in the form of a software program module.
- the integrated unit if implemented in the form of a software program module and sold or used as a standalone product, may be stored in a computer readable memory.
- a computer readable memory A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application.
- the foregoing memory includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like, which can store program codes.
- ROM Read-Only Memory
- RAM Random Access Memory
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Artificial Intelligence (AREA)
- Acoustics & Sound (AREA)
- Social Psychology (AREA)
- Multimedia (AREA)
- Navigation (AREA)
Abstract
本申请实施例公开了一种导航方法及相关产品,该方法包括:获取消息记录;对所述消息记录进行解析,得到起点位置和目的位置;利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数;从所述M条路线中选取目标路线。采用本申请实施例可从消息记录中提取出起点位置和目的位置,进而根据其进行导航,可以为用户提供一条智能化导航路线,方便用户出行。
Description
本申请要求2017年6月14日递交的发明名称为“导航方法及相关产品”的申请号201710448666.7的在先申请优先权,上述在先申请的内容以引入的方式并入本文本中。
本申请涉及电子设备技术领域,具体涉及一种导航方法及相关产品。
随着智能手机的大量普及应用,智能手机能够支持的应用越来越多,功能越来越强大,智能手机向着多样化、个性化的方向发展,成为用户生活中不可缺少的电子用品。越来越多的研究表明,软件如何运行以及用户如何使用智能手机,是决定系统能耗和效率的关键要素。
目前,现有技术中,导航作为手机的一种热门应用,成为用户生活中的小帮手。但是,不同的地图,会提供不同的导航路线,且在导航时候,需要用户输入起始位置以及目的位置,因而,较为繁琐,如何为用户提供一种智能化导航方式的问题亟待解决。
发明内容
本申请实施例提供了一种导航方法及相关产品,可以为用户提供一条智能化导航路线,方便用户出行。
第一方面,本申请实施例提供一种导航方法,包括:
获取消息记录;
对所述消息记录进行解析,得到起点位置和目的位置;
利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数;
从所述M条路线中选取目标路线。
第二方面,本申请实施例提供了一种导航装置,包括:
获取单元,用于获取消息记录;
解析单元,用于对所述消息记录进行解析,得到起点位置和目的位置;
规划单元,用于利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数;
选取单元,用于从所述M条路线中选取目标路线。
第三方面,本申请实施例提供了一种电子设备,包括:处理器和存储器;以及一个或多个程序,所述一个或多个程序被存储在所述存储器中,并且被配置成由所述处理器执行,所述程序包括用于执行如本申请实施例第一方面中所描述的部分或全部步骤的指令。
第四方面,本申请实施例提供了一种计算机可读存储介质,其中,所述计算机可读存储介质存储用于电子数据交换的计算机程序,其中,所述计算机程序使得计算机执行如本申请实施例第一方面中所描述的部分或全部步骤。
第五方面,本申请实施例提供了一种计算机程序产品,其中,所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质,所述计算机程序可操作来使计算机执行如本申请实施例第一方面中所描述的部分或全部步骤。该计算机程序产品可以为一个软件安装包。
实施本申请实施例,具有如下有益效果:
可以看出,本申请实施例中,获取消息记录,对消息记录进行解析,得到起点位置和目的位置,利用预先安装的N个地图应用对起点位置和目的位置进行路径规划,得到M条路线,N为正整数,M为不小于N的正整数,从M条路线中选取目标路线,从而,可从消息记录中提取出起点位置和目的位置,进而根据其进行导航,避免了用户打开导航应用,以及输入起点和目的地,并可以为用户提供一条智能化导航路线,方便用户出行。
为了更清楚地说明本申请实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本申请的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1是本申请实施例公开的一种导航方法的流程示意图;
图2是本申请实施例公开的另一种导航方法的流程示意图;
图3a是本申请实施例公开的一种导航装置的结构示意图;
图3b是本申请实施例公开的图3a所描述的导航装置的解析单元的结构示意图;
图3c是本申请实施例公开的图3b所描述的解析单元的第一确定模块的结构示意图;
图3d是本申请实施例公开的图3a所描述的导航装置的选取单元的结构示意图;
图3e是本申请实施例公开的图3d所描述的选取单元的评估模块的结构示意图;
图3f是本申请实施例公开的图3a所描述的导航装置的又一变型结构示意图;
图4是本申请实施例公开的一种电子设备的结构示意图;
图5是本申请实施例公开的另一种电子设备的结构示意图。
为了使本技术领域的人员更好地理解本申请方案,下面将结合本申请实施例中的附图,对本申请实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本申请一部分实施例,而不是全部的实施例。基于本申请中的实施例,本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本申请保护的范围。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别不同对象,而不是用于描述特定顺序。此外,术语“包括”和“具有”以及它们任何变形,意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、系统、产品或设备没有限定于已列出的步骤或单元,而是可选地还包括没有列出的步骤或单元,或可选地还包括对于这些过程、方法、产品或设备固有的其他步骤或单元。
在本文中提及“实施例”意味着,结合实施例描述的特定特征、结构或特性可以包含在本申请的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例,也不是与其它实施例互斥的独立的或备选的实施 例。本领域技术人员显式地和隐式地理解的是,本文所描述的实施例可以与其它实施例相结合。
本申请实施例所涉及到的电子设备可以包括各种具有无线通信功能的手持设备、车载设备、可穿戴设备、计算设备或连接到无线调制解调器的其他处理设备,以及各种形式的用户设备(user equipment,UE),移动台(mobile station,MS),终端设备(terminal device)等等。为方便描述,上面提到的设备统称为电子设备。下面对本申请实施例进行详细介绍。
可选地,本申请实施例中的电子设备可安装有人工智能模块(artificial intelligence,AI),该AI模块可单独于处理器安装在电子设备中,当然,也可以与处理器集成在一起。该AI模块可为量子芯片,或者,高密度硅集成电路,AI模块中可存储有机器学习算法,用于对用户使用习惯(消息记录)进行训练,以及对用户使用习惯进行深度学习,从而,通过人工智能模块达到对电子设备进行智能化控制的目的。
请参阅图1,为本申请实施例提供的一种导航方法的实施例流程示意图。
本实施例中所描述的导航方法,包括以下步骤:
101、获取消息记录。
其中,消息记录的来源可如下:例如,短信记录可来自于基站转发的短信,语音记录可来自于即时通讯工具的聊天记录的语音信息,聊天记录可来自于即时通讯工具(微信、QQ等)的文字记录。
可选地,所述消息记录为预设时间段内的消息记录,所述消息记录包括以下至少一种:短信记录、语音记录和聊天记录。
其中,消息记录可包括但不仅限于:短信记录、语音记录、聊天记录等等,该消息记录为预设时间段内的消息记录,例如,最近1小时,最近半天等等。步骤101中的消息记录可为预设时间段内的消息记录。上述预设时间段可由用户自行设置或者系统默认。例如,10分钟以内的消息记录。
102、对所述消息记录进行解析,得到起点位置和目的位置。
其中,较多情况下,消息记录中可能存在起点位置和目的位置,如此,可对消息记录进行解析,从消息记录中识别出起点位置和目的位置。例如,我们QQ聊天,这时候,我们有可能跟朋友相约,在聊天过程中,就会说在哪见面, 从哪儿出发等消息,于是,可从聊天记录中得到起点位置和目的位置。
可选地,上述步骤102,对所述消息记录进行解析,得到起点位置和目的位置,可包括如下步骤包括:
21)、提取所述消息记录中的N个地名,所述N为大于或等于2的整数;
22)、结合所述N个地名中每一地名所处所述消息记录的上下文确定出所述起点位置和所述目的位置。
其中,消息记录中可能包含多个地方,因而,首先可提取出消息记录中的N个地名,N为大于或等于2的整数,然后,可结合N个地名中每一地名所处消息记录的上下文确定哪个地名为起点位置,以及哪个地名为目的位置。
可选地,上述步骤22,结合所述N个地名中每一地名所处所述消息记录的上下文确定出所述起点位置和所述目的位置,可包括如下步骤:
221)、对所述N个地名进行筛选,得到M个地名,所述M为小于所述N且不小于2的整数;
222)、结合所述M个地名中每一地名所处所述消息记录的上下文对所述M个地名进行语义分析,确定所述M个地名中每一地名为起点的第一概率值和为终点的第二概率值,得到所述M个第一概率值和所述M个第二概率值;
223)、从所述M个第一概率值和所述M个第二概率值中选取最大第一概率值和最大第二概率值,并将所述最大第一概率值对应的地名作为所述起点位置,所述最大第二概率值对应的地名作为所述目的位置。
可选地,N个地名中有可能有些地名比较大,造成定位模糊,则这种地名可以过滤掉,例如,地名为美国,则美国很大,则无法清晰定位。在对N个地名进行筛选过后,剩下M个地名,M为小于N且不小于2的整数。进一步地,可结合M个地名中每一地名所处消息记录的上下文M个地名进行语义分析,得到至少一个关键词,根据该关键词获取对应的为起点的概率值和终点的概率值,在该过程中,可预先设置关键词与概率之间的对应关系,例如,“到”的话,其为终点的概率值为85%,为起点的概率值为15%。举例说明下,地名A,其相近的上下文出现了“出发”,则其可能是起点位置,地名B,其相近的上下文出现问“到”,则其可能为目的位置。按照该方式,可取代M个地名中每一地名为起点的第一概率值和为终点的第二概率值,于是,得到了M个第一概率值和M个第二概率值,从该M个第一概率值和M个第二概率值 中选取最大第一概率值和最大第二概率值,则最大第一概率值对应的地名则可认为是起点位置,最大第二概率值对应的地名则可认为是目的位置,通过这种方式可分析出起点位置和目的位置,方便电子设备通过这俩位置完成导航。
103、利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数。
其中,地图应用可为以下至少一种:google地图、百度地图、高德地图等等。电子设备中可安装N个地图应用,可利用该N个地图应用对起点位置和目的位置进行路径规划,得到M条路线,N为正整数,M为不小于N的正整数,由于对于一个地图应用而言,根据公交路线规划,根据自驾规划,或者,根据走路规划,可得到不同的路线,如此,N个地图应用,有可能得到多于N条路路线。
可选地,在上述步骤102与步骤103之间,还可以包括如下步骤:
获取用户输入的对所述起点位置和所述目的位置的确认指令;在所述起点位置和所述目的位置确认成功时,执行所述步骤103。
其中,由电子设备解析出的起点位置和目的位置也可能存在一定的偏差,例如,存在相同地名的情况,因此,可以获取用户输入的对起点位置和目的位置的确认指令,若起点位置和目的位置确认成功时,则可以执行步骤103,当然,用户还可以对起点位置和目的位置进行修改,如此,能够更精准地实现导航。
104、从所述M条路线中选取目标路线。
其中,通常情况下,用户会选择一条路线作为最终的导航路线,因此,可从M条路线中选取一条路线,即目标路线。例如,目标路线可以为路程最短的导航路线,又例如,目标路线可以为红绿灯最少的导航路线,又例如,目标路线可以为车流量最少的导航路线。
可选地,上述步骤104,从所述M条路线中选取目标路线,可包括如下步骤:
41)、获取针对所述N个地图应用对应的所述N组使用习惯数据以及用户出行数据;
42)、根据所述N组使用习惯数据和所述用户出行数据对所述M条路线中 每一条路线进行评估,得到所述M个评估值;
43)、从所述M个评估值中选取最大评估值,并将其对应的路线作为所述目标路线。
其中,所述使用习惯数据包括以下至少一种:地图应用使用次数、地图应用使用时间、地图应用偏好的导航方式,具体地,使用习惯数据可包括但不仅限于:地图应用使用次数、地图应用使用时间、地图应用偏好的导航方式(自驾、走路等等)等等。用户出现数据可包括但不仅限于:出行时间、出行时间对应的出行方式等。可获取N个地图应用对应的N组使用习惯数据,每一地图应用对应一组使用习惯数据,以及用户出行数据,根据N组使用习惯数据和用户出行数据对M条路线中每一条路线进行评估,得到M个评估值,从M个评估值中选取最大评估值,并将其对应的路线作为所述目标路线。
可选地,上述步骤42中,根据所述N组使用习惯数据和所述用户出行数据对所述M条路线中每一条路线进行评估,得到所述M个评估值,可包括如下步骤:
421)、根据所述N组使用习惯数据确定所述M条路线中每一条路线的权重值,得到所述M个第一权重值;
422根据所述用户出行数据确定所述M条路线中每一条路线的权重值,得到所述M个第二权重值;
423)、根据所述M个第一权重值与所述M个第二权重值确定所述M条路线的选择概率,得到所述M个评估值。
其中,可根据N组使用习惯数据确定M条路线中每一条路线的权重值,得到M个第一权重值,根据用户出行数据确定M条路线中每一条路线的权重值,得到M个第二权重值,根据M个第一权重值与M个第二权重值确定M条路线的选择概率,得到M个评估值,具体方式可为:以路线C为例,假设其对应的第一权重值为c1,第二权重值为c2,则将c1与c2之积作为路线C的评估值。
可以看出,本申请实施例中,获取消息记录,对消息记录进行解析,得到起点位置和目的位置,利用预先安装的N个地图应用对起点位置和目的位置进行路径规划,得到M条路线,N为正整数,M为不小于N的正整数,从M 条路线中选取目标路线,从而,可从消息记录中提取出起点位置和目的位置,进而根据其进行导航,避免了用户打开导航应用,以及输入起点和目的地,并可以为用户提供一条智能化导航路线,方便用户出行。
请参阅图2,为本申请实施例提供的一种导航方法的实施例流程示意图。本实施例中所描述的导航方法,包括以下步骤:
201、获取消息记录。
202、对所述消息记录进行解析,得到起点位置和目的位置。
203、利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数。
204、从所述M条路线中选取目标路线。
可选地,上述步骤201-步骤204的具体描述可参照图1所描述的导航方法的对应步骤,在此不再赘述。
205、调取与所述目标路线对应的地图应用,并在电子设备的显示界面上展示所述目标路线。
其中,可调取目标路线对应的地图应用,当然,还可以关闭其他不需要的地图应用,进而,在电子设备的显示界面上展示该目标路线。
可以看出,本申请实施例中,获取消息记录,对消息记录进行解析,得到起点位置和目的位置,利用预先安装的N个地图应用对起点位置和目的位置进行路径规划,得到M条路线,N为正整数,M为不小于N的正整数,从M条路线中选取目标路线,调取与目标路线对应的地图应用,并在电子设备的显示界面上展示该目标路线,从而,可从消息记录中提取出起点位置和目的位置,将其展示在显示界面,进而根据其进行导航,可以为用户提供一条智能化导航路线,方便用户出行。
请参阅图3a,图3a是本实施例提供的一种导航装置的结构示意图。该导航装置应用于电子设备,所述导航装置包括获取单元301、解析单元302、规划单元303和选取单元304,具体如下:
获取单元301,用于获取消息记录;
解析单元302,用于对所述消息记录进行解析,得到起点位置和目的位置;
规划单元303,用于利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数;
选取单元304,用于从所述M条路线中选取目标路线。
可选地,如图3b,图3b为图3a所描述的导航装置的解析单元302的具体细化结构,所述解析单元302可包括:提取模块3021和第一确定模块3022,具体如下:
提取模块3021,用于提取所述消息记录中的N个地名,所述N为大于或等于2的整数;
第一确定模块3022,用于结合所述N个地名中每一地名所处所述消息记录的上下文确定出所述起点位置和所述目的位置。
可选地,如图3c,图3c为图3b所描述的第一确定模块3022的具体细化结构,所述第一确定模块3022包括:筛选模块401和第二确定模块402,具体如下:
筛选模块401,用于对所述N个地名进行筛选,得到M个地名,所述M为小于所述N且不小于2的整数;
第二确定模块402,用于结合所述M个地名中每一地名所处所述消息记录的上下文对所述M个地名进行语义分析,确定所述M个地名中每一地名为起点的第一概率值和为终点的第二概率值,得到所述M个第一概率值和所述M个第二概率值;
所述第二确定模块402,还用于:
从所述M个第一概率值和所述M个第二概率值中选取最大第一概率值和最大第二概率值,并将所述最大第一概率值对应的地名作为所述起点位置,所述最大第二概率值对应的地名作为所述目的位置。
可选地,如图3d,图3d为图3a所描述的导航装置的选取单元304的具体细化结构,所述选取单元304可包括:获取模块3041、评估模块3042和选取模块3043,具体如下:
获取模块3041,用于获取针对所述N个地图应用对应的所述N组使用习惯数据以及用户出行数据;
评估模块3042,用于根据所述N组使用习惯数据和所述用户出行数据对所述M条路线中每一条路线进行评估,得到所述M个评估值;
选取模块3043,用于从所述M个评估值中选取最大评估值,并将其对应的路线作为所述目标路线。
可选地,如图3e,图3e为图3d所描述的评估模块3042的具体细化结构,,所述评估模块3042可包括:第三确定模块411和第四确定模块412,具体如下:
第三确定模块411,用于根据所述N组使用习惯数据确定所述M条路线中每一条路线的权重值,得到所述M个第一权重值;
所述第三确定模块411,还用于:
根据所述用户出行数据确定所述M条路线中每一条路线的权重值,得到所述M个第二权重值;
第四确定模块412,用于根据所述M个第一权重值与所述M个第二权重值确定所述M条路线的选择概率,得到所述M个评估值。
可选地,所述使用习惯数据包括以下至少一种:地图应用使用次数、地图应用使用时间、地图应用偏好的导航方式。
可选地,如图3f,图3f为图3a所描述的导航装置的又一变型结构,其与图3a相比较,还可以包括:展示单元305,具体如下:
所述展示单元305,用于调取与所述目标路线对应的地图应用,并在电子设备的显示界面上展示所述目标路线。
可选地,所述消息记录为预设时间段内的消息记录,所述消息记录包括以下至少一种:短信记录、语音记录和聊天记录。
可选地,所述获取单元301,还具体用于获取用户输入的对所述起点位置和所述目的位置的确认指令;由所述规划单元303在所述起点位置和所述目的位置确认成功时,执行所述利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数的步骤。
可以理解的是,本实施例的导航装置的各程序模块的功能可根据上述方法实施例中的方法具体实现,其具体实现过程可以参照上述方法实施例的相关描 述,此处不再赘述。
请参阅图4,图4是本申请实施例提供的一种电子设备,包括:处理器和存储器;以及一个或多个程序,所述一个或多个程序被存储在所述存储器中,并且被配置成由所述处理器执行,所述程序包括用于执行以下步骤的指令;
获取消息记录;
对所述消息记录进行解析,得到起点位置和目的位置;
利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数;
从所述M条路线中选取目标路线。
在一个可能的示例中,在所述对所述消息记录进行解析,得到起点位置和目的位置方面,所述程序中的指令具体用于执行以下步骤:
提取所述消息记录中的N个地名,所述N为大于或等于2的整数;
结合所述N个地名中每一地名所处所述消息记录的上下文确定出所述起点位置和所述目的位置。
在一个可能的示例中,在所述结合所述N个地名中每一地名所处所述消息记录的上下文确定出所述起点位置和所述目的位置方面,所述程序中的指令具体用于执行以下步骤:
对所述N个地名进行筛选,得到M个地名,所述M为小于所述N且不小于2的整数;
结合所述M个地名中每一地名所处所述消息记录的上下文对所述M个地名进行语义分析,确定所述M个地名中每一地名为起点的第一概率值和为终点的第二概率值,得到所述M个第一概率值和所述M个第二概率值;
从所述M个第一概率值和所述M个第二概率值中选取最大第一概率值和最大第二概率值,并将所述最大第一概率值对应的地名作为所述起点位置,所述最大第二概率值对应的地名作为所述目的位置。
在一个可能的示例中,在所述从所述M条路线中选取目标路线方面,所述程序中的指令具体用于执行以下步骤:
获取针对所述N个地图应用对应的所述N组使用习惯数据以及用户出行数据;
根据所述N组使用习惯数据和所述用户出行数据对所述M条路线中每一条路线进行评估,得到所述M个评估值;
从所述M个评估值中选取最大评估值,并将其对应的路线作为所述目标路线。
在一个可能的示例中,在所述根据所述N组使用习惯数据和所述用户出行数据对所述M条路线中每一条路线进行评估,得到所述M个评估值方面,所述程序中的指令具体用于执行以下步骤:
根据所述N组使用习惯数据确定所述M条路线中每一条路线的权重值,得到所述M个第一权重值;
根据所述用户出行数据确定所述M条路线中每一条路线的权重值,得到所述M个第二权重值;
根据所述M个第一权重值与所述M个第二权重值确定所述M条路线的选择概率,得到所述M个评估值。
本申请实施例还提供了另一种电子设备,如图5所示,为了便于说明,仅示出了与本申请实施例相关的部分,具体技术细节未揭示的,请参照本申请实施例方法部分。该电子设备可以为包括手机、平板电脑、PDA(Personal Digital Assistant,个人数字助理)、POS(Point of Sales,销售终端)、车载电脑等任意终端设备,以电子设备为手机为例:
图5示出的是与本申请实施例提供的电子设备相关的手机的部分结构的框图。参考图5,手机包括:射频(Radio Frequency,RF)电路910、存储器920、输入单元930、传感器950、音频电路960、无线保真(Wireless Fidelity,WiFi)模块970、处理器980、以及电源990等部件。本领域技术人员可以理解,图5中示出的手机结构并不构成对手机的限定,可以包括比图示更多或更少的部件,或者组合某些部件,或者不同的部件布置。
下面结合图5对手机的各个构成部件进行具体的介绍:
输入单元930可用于接收输入的数字或字符信息,以及产生与手机的用户设置以及功能控制有关的键信号输入。具体地,输入单元930可包括触控显示屏933、生物识别装置931以及其他输入设备932。生物识别装置931可为指纹识别装置、虹膜识别装置或者人脸识别装置。输入单元930还可以包括其他 输入设备932。具体地,其他输入设备932可以包括但不限于物理按键、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆等中的一种或多种。
其中,所述处理器980,用于执行如下操作:
获取消息记录;
对所述消息记录进行解析,得到起点位置和目的位置;
利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数;
从所述M条路线中选取目标路线。
处理器980是手机的控制中心,利用各种接口和线路连接整个手机的各个部分,通过运行或执行存储在存储器920内的软件程序和/或模块,以及调用存储在存储器920内的数据,执行手机的各种功能和处理数据,从而对手机进行整体监控。可选的,处理器980可包括一个或多个处理单元;可选的,处理器980可集成处理器和调制解调处理器,其中,处理器主要处理操作系统、用户界面和应用程序等,调制解调处理器主要处理无线通信。可以理解的是,上述调制解调处理器也可以不集成到处理器980中。
此外,存储器920可以包括高速随机存取存储器,还可以包括非易失性存储器,例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
RF电路910可用于信息的接收和发送。通常,RF电路910包括但不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器(Low Noise Amplifier,LNA)、双工器等。此外,RF电路910还可以通过无线通信与网络和其他设备通信。上述无线通信可以使用任一通信标准或协议,包括但不限于全球移动通讯系统(Global System of Mobile communication,GSM)、通用分组无线服务(General Packet Radio Service,GPRS)、码分多址(Code Division Multiple Access,CDMA)、宽带码分多址(Wideband Code Division Multiple Access,WCDMA)、长期演进(Long Term Evolution,LTE)、电子邮件、短消息服务(Short Messaging Service,SMS)等。
手机还可包括至少一种传感器950,比如光传感器、运动传感器以及其他传感器。具体地,光传感器可包括环境光传感器及接近传感器,其中,环境光 传感器可根据环境光线的明暗来调节触控显示屏的亮度,接近传感器可在手机移动到耳边时,关闭触控显示屏和/或背光。作为运动传感器的一种,加速计传感器可检测各个方向上(一般为三轴)加速度的大小,静止时可检测出重力的大小及方向,可用于识别手机姿态的应用(比如横竖屏切换、相关游戏、磁力计姿态校准)、振动识别相关功能(比如计步器、敲击)等;至于手机还可配置的陀螺仪、气压计、湿度计、温度计、红外线传感器等其他传感器,在此不再赘述。
音频电路960、扬声器961,传声器962可提供用户与手机之间的音频接口。音频电路960可将接收到的音频数据转换后的电信号,传输到扬声器961,由扬声器961转换为声音信号播放;另一方面,传声器962将收集的声音信号转换为电信号,由音频电路960接收后转换为音频数据,再将音频数据播放处理器980处理后,经RF电路910以发送给比如另一手机,或者将音频数据播放至存储器920以便进一步处理。
WiFi属于短距离无线传输技术,手机通过WiFi模块970可以帮助用户收发电子邮件、浏览网页和访问流式媒体等,它为用户提供了无线的宽带互联网访问。虽然图5示出了WiFi模块970,但是可以理解的是,其并不属于手机的必须构成,完全可以根据需要在不改变发明的本质的范围内而省略。
手机还包括给各个部件供电的电源990(比如电池),可选的,电源可以通过电源管理系统与处理器980逻辑相连,从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。
尽管未示出,手机还可以包括摄像头、蓝牙模块等,在此不再赘述。
前述图1~图2所示的实施例中,各步骤方法流程可以基于该手机的结构实现。
前述图3a~图3f及图4所示的实施例中,各单元功能可以基于该手机的结构实现。
本申请实施例还提供一种计算机存储介质,其中,该计算机存储介质存储用于电子数据交换的计算机程序,该计算机程序使得计算机执行如上述方法实施例中记载的任何一种导航方法的部分或全部步骤。
本申请实施例还提供一种计算机程序产品,所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质,所述计算机程序可操作来使计算机执行如上述方法实施例中记载的任何一种导航方法的部分或全部步骤。
需要说明的是,对于前述的各方法实施例,为了简单描述,故将其都表述为一系列的动作组合,但是本领域技术人员应该知悉,本申请并不受所描述的动作顺序的限制,因为依据本申请,某些步骤可以采用其他顺序或者同时进行。其次,本领域技术人员也应该知悉,说明书中所描述的实施例均属于可选实施例,所涉及的动作和模块并不一定是本申请所必须的。
在上述实施例中,对各个实施例的描述都各有侧重,某个实施例中没有详述的部分,可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中,应该理解到,所揭露的装置,可通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如所述单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口,装置或单元的间接耦合或通信连接,可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外,在本申请各个实施例中的各功能单元可以集成在一个处理单元中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现,也可以采用软件程序模块的形式实现。
所述集成的单元如果以软件程序模块的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储器中。基于这样的理解,本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储器中,包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网 络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储器包括:U盘、只读存储器(ROM,Read-Only Memory)、随机存取存储器(RAM,Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成,该程序可以存储于一计算机可读存储器中,存储器可以包括:闪存盘、只读存储器(英文:Read-Only Memory,简称:ROM)、随机存取器(英文:Random Access Memory,简称:RAM)、磁盘或光盘等。
以上对本申请实施例进行了详细介绍,本文中应用了具体个例对本申请的原理及实施方式进行了阐述,以上实施例的说明只是用于帮助理解本申请的方法及其核心思想;同时,对于本领域的一般技术人员,依据本申请的思想,在具体实施方式及应用范围上均会有改变之处,综上所述,本说明书内容不应理解为对本申请的限制。
Claims (20)
- 一种导航方法,其特征在于,包括:获取消息记录;对所述消息记录进行解析,得到起点位置和目的位置;利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数;从所述M条路线中选取目标路线。
- 根据权利要求1所述的方法,其特征在于,所述对所述消息记录进行解析,得到起点位置和目的位置,包括:提取所述消息记录中的N个地名,所述N为大于或等于2的整数;结合所述N个地名中每一地名所处所述消息记录的上下文确定出所述起点位置和所述目的位置。
- 根据权利要求2所述的方法,其特征在于,所述结合所述N个地名中每一地名所处所述消息记录的上下文确定出所述起点位置和所述目的位置,包括;对所述N个地名进行筛选,得到M个地名,所述M为小于所述N且不小于2的整数;结合所述M个地名中每一地名所处所述消息记录的上下文对所述M个地名进行语义分析,确定所述M个地名中每一地名为起点的第一概率值和为终点的第二概率值,得到所述M个第一概率值和所述M个第二概率值;从所述M个第一概率值和所述M个第二概率值中选取最大第一概率值和最大第二概率值,并将所述最大第一概率值对应的地名作为所述起点位置,所述最大第二概率值对应的地名作为所述目的位置。
- 根据权利要求1-3任一项所述的方法,其特征在于,所述从所述M条路线中选取目标路线,包括:获取针对所述N个地图应用对应的所述N组使用习惯数据以及用户出行数据;根据所述N组使用习惯数据和所述用户出行数据对所述M条路线中每一 条路线进行评估,得到所述M个评估值;从所述M个评估值中选取最大评估值,并将其对应的路线作为所述目标路线。
- 根据权利要求4所述的方法,其特征在于,所述根据所述N组使用习惯数据和所述用户出行数据对所述M条路线中每一条路线进行评估,得到所述M个评估值,包括:根据所述N组使用习惯数据确定所述M条路线中每一条路线的权重值,得到所述M个第一权重值;根据所述用户出行数据确定所述M条路线中每一条路线的权重值,得到所述M个第二权重值;根据所述M个第一权重值与所述M个第二权重值确定所述M条路线的选择概率,得到所述M个评估值。
- 根据权利要求5所述的方法,其特征在于,所述使用习惯数据包括以下至少一种:地图应用使用次数、地图应用使用时间、地图应用偏好的导航方式。
- 根据权利要求1-6任一项所述的方法,其特征在于,所述方法还包括:调取与所述目标路线对应的地图应用,并在电子设备的显示界面上展示所述目标路线。
- 根据权利要求1-7任一项所述的方法,其特征在于,所述消息记录为预设时间段内的消息记录,所述消息记录包括以下至少一种:短信记录、语音记录和聊天记录。
- 根据权利要求1-8任一项所述的方法,其特征在于,所述方法还包括:获取用户输入的对所述起点位置和所述目的位置的确认指令;在所述起点位置和所述目的位置确认成功时,执行所述利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数的步骤。
- 一种导航装置,其特征在于,包括:获取单元,用于获取消息记录;解析单元,用于对所述消息记录进行解析,得到起点位置和目的位置;规划单元,用于利用预先安装的N个地图应用对所述起点位置和所述目的位置进行路径规划,得到M条路线,所述N为正整数,所述M为不小于所述N的正整数;选取单元,用于从所述M条路线中选取目标路线。
- 根据权利要求10所述的装置,其特征在于,所述解析单元包括:提取模块,用于提取所述消息记录中的N个地名,所述N为大于或等于2的整数;第一确定模块,用于结合所述N个地名中每一地名所处所述消息记录的上下文确定出所述起点位置和所述目的位置。
- 根据权利要求11所述的装置,其特征在于,所述第一确定模块包括:筛选模块,用于对所述N个地名进行筛选,得到M个地名,所述M为小于所述N且不小于2的整数;第二确定模块,用于结合所述M个地名中每一地名所处所述消息记录的上下文对所述M个地名进行语义分析,确定所述M个地名中每一地名为起点的第一概率值和为终点的第二概率值,得到所述M个第一概率值和所述M个第二概率值;所述第二确定模块,还用于:从所述M个第一概率值和所述M个第二概率值中选取最大第一概率值和最大第二概率值,并将所述最大第一概率值对应的地名作为所述起点位置,所述最大第二概率值对应的地名作为所述目的位置。
- 根据权利要求10-12任一项所述的装置,其特征在于,所述选取单元包括:获取模块,用于获取针对所述N个地图应用对应的所述N组使用习惯数据以及用户出行数据;评估模块,用于根据所述N组使用习惯数据和所述用户出行数据对所述M条路线中每一条路线进行评估,得到所述M个评估值;选取模块,用于从所述M个评估值中选取最大评估值,并将其对应的路线作为所述目标路线。
- 根据权利要求13所述的装置,其特征在于,所述评估模块包括:第三确定模块,用于根据所述N组使用习惯数据确定所述M条路线中每一条路线的权重值,得到所述M个第一权重值;所述第三确定模块,还用于:根据所述用户出行数据确定所述M条路线中每一条路线的权重值,得到所述M个第二权重值;第四确定模块,用于根据所述M个第一权重值与所述M个第二权重值确定所述M条路线的选择概率,得到所述M个评估值。
- 根据权利要求14所述的装置,其特征在于,所述使用习惯数据包括以下至少一种:地图应用使用次数、地图应用使用时间、地图应用偏好的导航方式。
- 根据权利要求10-15任一项所述的装置,其特征在于,所述方法还包括:调取与所述目标路线对应的地图应用,并在电子设备的显示界面上展示所述目标路线。
- 根据权利要求10-16任一项所述的装置,其特征在于,所述消息记录为预设时间段内的消息记录,所述消息记录包括以下至少一种:短信记录、语音记录和聊天记录。
- 一种电子设备,其特征在于,包括:处理器和存储器;以及一个或多个程序,所述一个或多个程序被存储在所述存储器中,并且被配置成由所述处理器执行,所述程序包括用于执行如权利要求1-9任一项所描述的方法的指令。
- 一种计算机存储介质,其特征在于,其用于存储计算机程序,其中,所述计算机程序使得计算机执行如权利要求1-9任一项所述的方法。
- 一种计算机程序产品,其特征在于,所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质,所述计算机程序可操作来使计算机执行如权利要求1-9任一项所述的方法。
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP18817764.6A EP3617652A4 (en) | 2017-06-14 | 2018-05-25 | NAVIGATION PROCESS AND RELATED PRODUCT |
US16/688,457 US11274932B2 (en) | 2017-06-14 | 2019-11-19 | Navigation method, navigation device, and storage medium |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710448666.7 | 2017-06-14 | ||
CN201710448666.7A CN107356261B (zh) | 2017-06-14 | 2017-06-14 | 导航方法及相关产品 |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US16/688,457 Continuation US11274932B2 (en) | 2017-06-14 | 2019-11-19 | Navigation method, navigation device, and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2018228167A1 true WO2018228167A1 (zh) | 2018-12-20 |
Family
ID=60272823
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2018/088451 WO2018228167A1 (zh) | 2017-06-14 | 2018-05-25 | 导航方法及相关产品 |
Country Status (4)
Country | Link |
---|---|
US (1) | US11274932B2 (zh) |
EP (1) | EP3617652A4 (zh) |
CN (1) | CN107356261B (zh) |
WO (1) | WO2018228167A1 (zh) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107356261B (zh) * | 2017-06-14 | 2019-09-06 | Oppo广东移动通信有限公司 | 导航方法及相关产品 |
CN108344417A (zh) * | 2018-02-05 | 2018-07-31 | 广东欧珀移动通信有限公司 | 一种导航方法、导航装置方法及移动终端 |
CN108509635B (zh) * | 2018-04-10 | 2022-03-11 | 百度在线网络技术(北京)有限公司 | 用于生成信息的方法和装置 |
CN111125179B (zh) * | 2018-10-30 | 2023-10-20 | 百度在线网络技术(北京)有限公司 | 出行方式确定方法、装置、设备及存储介质 |
CN111238511A (zh) * | 2018-11-29 | 2020-06-05 | 上海博泰悦臻网络技术服务有限公司 | 一种位置分享方法、系统及电子设备 |
CN109872392B (zh) * | 2019-02-19 | 2023-08-25 | 阿波罗智能技术(北京)有限公司 | 基于高精地图的人机交互方法和装置 |
CN110672089A (zh) * | 2019-09-23 | 2020-01-10 | 上海功存智能科技有限公司 | 室内环境中导航的方法及设备 |
CN112825073B (zh) * | 2019-11-21 | 2024-09-27 | 腾讯科技(深圳)有限公司 | 位置消息处理方法、装置、设备及存储介质 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011072743A1 (en) * | 2009-12-17 | 2011-06-23 | Tomtom International B.V. | Navigation apparatus, audible instruction generation system and method of generating audible instructions |
CN102542836A (zh) * | 2011-12-28 | 2012-07-04 | 上海博泰悦臻电子设备制造有限公司 | 车载导航设备及单设备支持多导航方法 |
CN105260455A (zh) * | 2015-10-14 | 2016-01-20 | 深圳市金立通信设备有限公司 | 一种路线推荐方法及终端 |
CN105628048A (zh) * | 2016-03-02 | 2016-06-01 | 腾讯科技(深圳)有限公司 | 一种地图信息处理方法及终端 |
CN105973255A (zh) * | 2016-06-17 | 2016-09-28 | 北京奇虎科技有限公司 | 路线推荐方法及终端 |
CN107356261A (zh) * | 2017-06-14 | 2017-11-17 | 广东欧珀移动通信有限公司 | 导航方法及相关产品 |
Family Cites Families (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060116818A1 (en) * | 2004-12-01 | 2006-06-01 | Televigation, Inc. | Method and system for multiple route navigation |
CN101153907A (zh) | 2006-09-25 | 2008-04-02 | 佛山市顺德区顺达电脑厂有限公司 | 人工智能的导航方法 |
US8140335B2 (en) * | 2007-12-11 | 2012-03-20 | Voicebox Technologies, Inc. | System and method for providing a natural language voice user interface in an integrated voice navigation services environment |
CN103425640A (zh) * | 2012-05-14 | 2013-12-04 | 华为技术有限公司 | 一种多媒体问答系统及方法 |
US20150168174A1 (en) * | 2012-06-21 | 2015-06-18 | Cellepathy Ltd. | Navigation instructions |
US8855901B2 (en) * | 2012-06-25 | 2014-10-07 | Google Inc. | Providing route recommendations |
CN103674039B (zh) * | 2012-09-05 | 2016-11-09 | 昆达电脑科技(昆山)有限公司 | 整合多个导航装置规划的导航路径的方法 |
US9317813B2 (en) * | 2013-03-15 | 2016-04-19 | Apple Inc. | Mobile device with predictive routing engine |
CN104075720B (zh) * | 2013-03-26 | 2016-12-28 | 日电(中国)有限公司 | 基于多代价的路线规划设备和方法 |
CN104121908B (zh) * | 2013-04-25 | 2018-05-04 | 北京搜狗信息服务有限公司 | 一种延时路径规划的方法和系统 |
US20140343841A1 (en) * | 2013-05-14 | 2014-11-20 | Google Inc. | Providing predicted travel information |
US9103681B2 (en) * | 2013-06-08 | 2015-08-11 | Apple Inc. | Navigation application with several navigation modes |
CN103488758A (zh) * | 2013-09-24 | 2014-01-01 | 大陆汽车投资(上海)有限公司 | 兴趣点搜索方法及导航方法 |
US9618343B2 (en) * | 2013-12-12 | 2017-04-11 | Microsoft Technology Licensing, Llc | Predicted travel intent |
US20160109243A1 (en) * | 2014-10-15 | 2016-04-21 | Ford Global Technologies, Llc | Suggestive mapping using relevance based drive information |
CN106156084A (zh) * | 2015-03-31 | 2016-11-23 | 阿里巴巴集团控股有限公司 | 路线查询方法、装置和系统 |
CN105373808B (zh) * | 2015-10-28 | 2018-11-20 | 小米科技有限责任公司 | 信息处理方法及装置 |
US10268756B2 (en) * | 2015-12-18 | 2019-04-23 | Here Global B.V. | Method and apparatus for providing natural language input in a cartographic system |
DK179049B1 (en) * | 2016-06-11 | 2017-09-18 | Apple Inc | Data driven natural language event detection and classification |
CN106096000A (zh) * | 2016-06-22 | 2016-11-09 | 长江大学 | 一种基于移动互联网的用户旅行最优化推荐方法及系统 |
CN106407393B (zh) * | 2016-09-19 | 2020-01-31 | 北京儒博科技有限公司 | 一种用于智能设备的信息处理方法及装置 |
CN106595686A (zh) * | 2016-12-06 | 2017-04-26 | 上海博泰悦臻电子设备制造有限公司 | 一种车载导航系统、方法、车载设备及车辆 |
-
2017
- 2017-06-14 CN CN201710448666.7A patent/CN107356261B/zh not_active Expired - Fee Related
-
2018
- 2018-05-25 EP EP18817764.6A patent/EP3617652A4/en active Pending
- 2018-05-25 WO PCT/CN2018/088451 patent/WO2018228167A1/zh unknown
-
2019
- 2019-11-19 US US16/688,457 patent/US11274932B2/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011072743A1 (en) * | 2009-12-17 | 2011-06-23 | Tomtom International B.V. | Navigation apparatus, audible instruction generation system and method of generating audible instructions |
CN102542836A (zh) * | 2011-12-28 | 2012-07-04 | 上海博泰悦臻电子设备制造有限公司 | 车载导航设备及单设备支持多导航方法 |
CN105260455A (zh) * | 2015-10-14 | 2016-01-20 | 深圳市金立通信设备有限公司 | 一种路线推荐方法及终端 |
CN105628048A (zh) * | 2016-03-02 | 2016-06-01 | 腾讯科技(深圳)有限公司 | 一种地图信息处理方法及终端 |
CN105973255A (zh) * | 2016-06-17 | 2016-09-28 | 北京奇虎科技有限公司 | 路线推荐方法及终端 |
CN107356261A (zh) * | 2017-06-14 | 2017-11-17 | 广东欧珀移动通信有限公司 | 导航方法及相关产品 |
Non-Patent Citations (1)
Title |
---|
See also references of EP3617652A4 |
Also Published As
Publication number | Publication date |
---|---|
EP3617652A1 (en) | 2020-03-04 |
CN107356261A (zh) | 2017-11-17 |
US11274932B2 (en) | 2022-03-15 |
US20200088533A1 (en) | 2020-03-19 |
EP3617652A4 (en) | 2020-09-23 |
CN107356261B (zh) | 2019-09-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2018228167A1 (zh) | 导航方法及相关产品 | |
CN109379641B (zh) | 一种字幕生成方法和装置 | |
US20210193185A1 (en) | Special effect synchronization method and apparatus, and mobile terminal | |
WO2016169465A1 (zh) | 一种显示弹幕信息的方法、装置和系统 | |
CN106126174B (zh) | 一种场景音效的控制方法、及电子设备 | |
US10951557B2 (en) | Information interaction method and terminal | |
WO2017215652A1 (zh) | 音效参数的调节方法及移动终端 | |
CN108156508B (zh) | 弹幕信息处理的方法、装置、移动终端、服务器及系统 | |
CN106528545B (zh) | 一种语音信息的处理方法及装置 | |
WO2018219119A1 (zh) | 应用功能的控制方法及相关产品 | |
CN110166828A (zh) | 一种视频处理方法和装置 | |
CN106126160B (zh) | 一种音效调节方法及用户终端 | |
WO2017215653A1 (zh) | 音量处理方法及用户终端 | |
CN105959482B (zh) | 一种场景音效的控制方法、及电子设备 | |
CN106506437B (zh) | 一种音频数据处理方法,及设备 | |
WO2018049921A1 (zh) | 数据传输处理方法及相关设备 | |
CN106657641B (zh) | 一种优化分享方式的方法及相关设备 | |
WO2019041285A1 (zh) | 联想词推荐方法、移动终端以及计算机可读存储介质 | |
CN109241079A (zh) | 问题精确检索的方法、移动终端及计算机存储介质 | |
WO2018214745A1 (zh) | 应用控制方法及相关产品 | |
WO2018219090A1 (zh) | 快速查找应用的方法及相关产品 | |
CN103729413B (zh) | 一种即时通讯中对话项的排序方法、装置及移动终端 | |
CN110392158A (zh) | 一种消息处理方法、装置以及终端设备 | |
CN107272986A (zh) | 快速查找应用的方法及相关产品 | |
WO2017185233A1 (zh) | 一种控制音频文件播放的方法及音频播放装置 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 18817764 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 2018817764 Country of ref document: EP Effective date: 20191125 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |