CN110118563A - Navigation terminal and its navigation map data update method and automatic driving vehicle - Google Patents
Navigation terminal and its navigation map data update method and automatic driving vehicle Download PDFInfo
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- CN110118563A CN110118563A CN201810110243.9A CN201810110243A CN110118563A CN 110118563 A CN110118563 A CN 110118563A CN 201810110243 A CN201810110243 A CN 201810110243A CN 110118563 A CN110118563 A CN 110118563A
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- 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
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
- G01C21/32—Structuring or formatting of map data
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- 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
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
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Abstract
This application involves a kind of navigation terminal and its navigation map data update method and automatic driving vehicles, the navigation map data update method includes: along navigation routine navigation driving process, it obtains user and is based on exception road conditions label made by abnormal road conditions, and the abnormal road conditions and time are subjected to corresponding preservation；It is saving the abnormal road conditions and after the time, is planning real-time routes again；Corresponding navigation map data is updated according to the abnormal road conditions and time, and the navigation more variation route for evading the abnormal road conditions is generated according to the real-time routes, with in user when navigating next time, the navigation more variation route is prompted to user, in this way, the application can carry out navigation map data update according to the abnormal road conditions of the label of user well, and then generate practical and convenient navigation more variation route for users to use, it is allowed to more convenient user, improves user experience.
Description
Technical field
This application involves navigation system technical fields, and in particular to a kind of navigation map data update based on abnormal road conditions
Method, a kind of navigation terminal and a kind of automatic driving vehicle.
Background technique
Global positioning system (GlobalPositioningSystem, abbreviation GPS) is the U.S. since the 1970s
It develops, was built up comprehensively in 1994, there is the satellite of new generation in sea, land and sky comprehensive real-time three-dimensional navigation and stationkeeping ability
Navigation and positioning system.GPS system cannot be only used for measurement, navigation, it may also be used for when testing the speed, surveying.By GPS receiver to defend
Star signal is accurately positioned, and can learn the information such as travel route, position, speed, the height above sea level of vehicle.
GIS-Geographic Information System (GeographicalInformationSystem, abbreviation GIS) is from the end of the fifties and the sixties
Just start to occur, is the mankind in production practices activity, the software system gradually generated to describe geography information related to handling
System.It is handled the spatial data with geographical feature using computer as means, is served as theme with a spatial information, will
Various other associated spatial positional informations combine, and have the function of such as to acquire, manage, analyze and express data.
Secondly, the data of GIS processing all have direct or indirect relationship with geography information.Geography information is the property in relation to geographical entity
Matter, feature, the characterization of motion state and all useful knowledge, and geodata is then relationship between various geographical features and phenomenon
Symbolic Representation.
In recent years, GPS technology is other than applying in traditional vehicle-mounted antitheft counter raid device, in conjunction with generalized information system, vehicle-mounted leads
The application of boat instrument is also increasingly extensive.With the development of the automobile industry and automotive electronics market graduallys mature, and vehicle mounted guidance produces
Product have begun to take shape.In American-European and Japan, such automatic navigator use is commonplace, and current country's GPS auto navigation produces
Product also have the market trend of sharp increase.
Increasing with city vehicle, traffic congestion has become serious problem, and social concerns degree is very high, influences
Greatly.It is various that especially current Old City changes renewal item, and small towns exploration project is maked rapid progress, many road conditions can not real-time update,
Such as part road may Temporarily Closed, be removed or closed a road to traffic due to natural calamity, brought to traffic very big
Problem.
And existing navigation system, it is all built upon on existing map datum, map datum general half a year updates one
It is secondary, situations such as part road has been removed or closed is had for above-mentioned, the map datum in navigation system can still have this
Road can guide user to navigate to the road, but user has found not following the Way after reaching so that navigation system calculates route
Road or after road is obstructed or even user's yaw, still can guide repeatedly user to walk this road, bring very big puzzlement to user.
Therefore, it is urgent to provide a kind of new air navigation aids for the art.
Summary of the invention
The purpose of the application is, provides a kind of navigation terminal and its navigation map data update method and unmanned
Vehicle can solve above-mentioned technical problem, can carry out navigation map number according to the abnormal road conditions of the label of user well
It according to update, and then generates practical and convenient navigation more variation route for users to use, is allowed to more convenient user, improves user experience.
In order to solve the above technical problems, the application provides a kind of navigation map data update method based on abnormal road conditions,
The navigation map data update method includes:
It is based on exception road conditions label made by abnormal road conditions along navigation routine navigation driving process, obtaining user, and
The abnormal road conditions and time are subjected to corresponding preservation；
It is saving the abnormal road conditions and after the time, is planning real-time routes again；
Corresponding navigation map data is updated according to the abnormal road conditions and time, and is generated and is used according to the real-time routes
In the navigation more variation route for evading the abnormal road conditions, when navigating next time, the navigation more variation route to be mentioned in user
Show to user.
Wherein, described the step of updating corresponding navigation map data according to the abnormal road conditions and time, further includes:
Judge whether in network connection state；
It, will be on navigation map data corresponding to the abnormal road conditions and time when determining in network connection state
Cloud Server is passed to, so that other navigation equipments use update.
Wherein, the acquisition user is based on exception road conditions label made by abnormal road conditions, and the abnormal road conditions are timely
Between carry out corresponding the step of saving, specifically include:
It obtains user and is based on exception road conditions label made by abnormal road conditions, and pop up dialog box and prompt the user whether to mark it
For abnormal road conditions, the exception road conditions include dismounting, Temporarily Closed and natural dangerous situation.
Wherein, the step that the navigation more variation route for evading the abnormal road conditions is generated according to the real-time routes
Suddenly, further includes:
Other users are obtained for the update mark of the abnormal road conditions, and occur to update the tag value changed in road conditions
When reaching preset threshold, remind whether user according to update mark plans navigation routine again, the update mark includes road conditions
Restore normal.
Wherein, the acquisition user is based on exception road conditions label made by abnormal road conditions, and the abnormal road conditions are timely
Between carry out corresponding preservation, specifically include:
Interactive mode by more taking turns voice obtains user and is based on exception road conditions label made by abnormal road conditions, and will be described
Abnormal road conditions and time carry out corresponding preservation；
Or, obtaining user by way of detecting touch input is based on exception road conditions label made by abnormal road conditions, and will
The exception road conditions and time carry out corresponding preservation.
Wherein, the interactive mode by more taking turns voice obtains user and is based on exception road conditions mark made by abnormal road conditions
Note, specifically includes:
Obtain more wheel voice signals of user's input；
The intuitive intention of the user is identified according to more wheel voice signals.
Wherein, the intuitive intention that the user is identified according to more wheel voice signals, specifically includes:
Receive more wheel voice signals of input；
The voice characteristics information of more wheel voice signals is extracted in framing, generates more wheels according to voice characteristics information and acoustic model
The recognition result of voice signal；
According to recognition result and preset the mute detection algorithm Preliminary detection sound ends for taking turns voice signals out more；
Calculate the confidence information of more wheel voice signals；
The semantic information of the more wheel voice signals of parsing；
The corresponding speech analysis result of more wheel voice signals is obtained according to confidence information and semantic information；
The abnormal road conditions label of the user is identified according to speech analysis result.
Wherein, the recognition result that more wheel voice signals are generated according to voice characteristics information and acoustic model, it is specific to wrap
It includes:
After generating voice characteristics information, take turns voice signal in each modeling list using every frame is calculated based on acoustic model more
Likelihood value in member obtains optimum state metastasis sequence and its corresponding word sequence by dynamic programming algorithm, and will be acquired
Optimum state metastasis sequence and its corresponding word sequence as recognition result.
In order to solve the above technical problems, the application also provides a kind of navigation terminal, the navigation terminal includes processor, institute
Processor is stated for executing program data, to realize any above-mentioned navigation map data update method based on abnormal road conditions
Step, the navigation terminal are smart phone, smartwatch, vehicle-mounted computer or navigator.
In order to solve the above technical problems, the application also provides a kind of automatic driving vehicle, the automatic driving vehicle setting
There is navigation terminal, the navigation terminal includes processor, and the processor is any above-mentioned to realize for executing program data
The step of navigation map data update method based on abnormal road conditions.
The application navigation terminal and its navigation map data update method and automatic driving vehicle, lead along navigation routine
In driving process of navigating, obtain user and be based on the label of exception road conditions made by abnormal road conditions, and by the exception road conditions and time into
Row is corresponding to be saved, and is being saved the abnormal road conditions and after the time, is being planned real-time routes again, according to the abnormal road conditions and time
Corresponding navigation map data is updated, and road is updated according to the navigation that the real-time routes are generated for evading the abnormal road conditions
Line, when navigating next time, the navigation more variation route is prompted to user in user, in this way, the application energy
It is enough to carry out navigation map data update according to the abnormal road conditions of the label of user well, and then generate practical and convenient navigation more
Variation route for users to use, is allowed to more convenient user, improves user experience.
Above description is only the general introduction of technical scheme, in order to better understand the technological means of the application,
And it can be implemented in accordance with the contents of the specification, and in order to allow the above and other objects, features and advantages of the application can
It is clearer and more comprehensible, it is special below to lift preferred embodiment, and cooperate attached drawing, detailed description are as follows.
Detailed description of the invention
Fig. 1 is the flow diagram of navigation map data update method of the application based on abnormal road conditions.
Fig. 2 is the module diagram of the application navigation terminal.
Specific embodiment
Further to illustrate that the application is the technical means and efficacy reaching predetermined application purpose and being taken, below in conjunction with
Attached drawing and preferred embodiment, to according to the application propose navigation terminal and its navigation map data update method and nobody drive
Specific embodiment, method, step, structure, feature and its effect of vehicle are sailed, detailed description are as follows.
Aforementioned and other technology contents, feature and effect in relation to the application refer to the preferable reality of schema in following cooperation
Applying in the detailed description of example can clearly appear from.By the explanation of specific embodiment, when can be that reach predetermined mesh to the application
The technical means and efficacy taken be able to more deeply and it is specific understand, however institute's accompanying drawings are only to provide with reference to and say
It is bright to be used, not it is used to limit the application.
Referring to Fig. 1, Fig. 1 is the flow diagram of navigation map data update method of the application based on abnormal road conditions,
The navigation map data update method includes but is not limited to the following steps.
Step S101 obtains user and is based on exception road made by abnormal road conditions along navigation routine navigation driving process
Condition label, and the abnormal road conditions and time are subjected to corresponding preservation.
In the present embodiment, the acquisition user is based on exception road conditions label made by abnormal road conditions, and will be described different
Chang Lukuang and time carry out corresponding the step of saving, and can specifically include: obtaining user and be based on exception road made by abnormal road conditions
Condition marks, and pops up dialog box and prompt the user whether that marking it is abnormal road conditions, and the exception road conditions include dismounting, Temporarily Closed
With natural dangerous situation.
In this way, present embodiment may be implemented to interact with user, improve interactive experience.
Step S102 is saving the abnormal road conditions and after the time, is planning real-time routes again.
It should be noted that since road conditions anomaly exist timeliness, navigation ground is intuitively understood in order to facilitate user
Therefore the timing node that diagram data updates can save abnormal road conditions and its corresponding timing node in S102, convenient
User is subsequent further to be checked, updates, for example, if the time of road conditions exception is half a year before, in the recent period may be extensive
Multiple, therefore, user can choose whether actively to go to update newest road conditions etc. according to the length of time.
Step S103 updates corresponding navigation map data according to the abnormal road conditions and time, and according to described real-time
Route Generation is used to evade the navigation more variation route of the abnormal road conditions, in user when navigating next time, by the navigation
More variation route is prompted to user.
It should be noted that in the present embodiment, it is described to update corresponding navigation according to the abnormal road conditions and time
The step of map datum can also include: to judge whether in network connection state；It is determining in network connection state
When, navigation map data corresponding to the abnormal road conditions and time is uploaded into Cloud Server, so that other navigation equipments make
With update.
Understandable to be, abnormal road conditions can be shared with other users in this way by present embodiment, convenient
All users improve the competitiveness of product using operation.
It is noted that some possible road conditions can change again, but user may not navigate to the road again
Line can not thus be learnt, in the present embodiment, described to be generated according to the real-time routes for evading for such situation
The step of navigation more variation route of the exception road conditions can also include: to obtain other users to be directed to the abnormal road conditions more
New label, and when the tag value that update change occurs for road conditions reaches preset threshold, remind user whether according to update mark
Again navigation routine is planned, the update mark includes that road conditions restore normal.In this way, the application can be realized online
Intelligent updating exception road conditions, further facilitate user.
It should be strongly noted that the acquisition user is based on exception road conditions label made by abnormal road conditions, and will be described
Abnormal road conditions and time carry out corresponding preservation, can specifically include: the interactive mode by more taking turns voice obtains user based on different
The label of exception road conditions made by Chang Lukuang, and the abnormal road conditions and time are subjected to corresponding preservation；Or, being touched by detection defeated
The mode entered obtains user and is based on exception road conditions label made by abnormal road conditions, and the abnormal road conditions and time are corresponded to
It saves.
In other words, the application can realize the interactive experience between user more by way of taking turns voice, further
For, the interactive mode by more taking turns voice obtains user and is based on exception road conditions label made by abnormal road conditions, specifically may be used
To include: the more wheel voice signals for obtaining user's input；The intuitive intention of the user is identified according to more wheel voice signals.
In the present embodiment, the intuitive intention that the user is identified according to more wheel voice signals, specifically may be used
To include following processes.
S21 receives more wheel voice signals of input；
S22, framing are extracted the voice characteristics information of more wheel voice signals, are generated according to voice characteristics information and acoustic model
The recognition result of more wheel voice signals；
S23 according to recognition result and presets the mute detection algorithm Preliminary detection sound ends for taking turns voice signals out more；
S24 calculates the confidence information of more wheel voice signals；
S25 parses the semantic information of more wheel voice signals；
S26 obtains the corresponding speech analysis result of more wheel voice signals according to confidence information and semantic information；
S27 identifies that the abnormal road conditions of the user mark according to speech analysis result.
In the preferred embodiment, the S22 generates more wheel voice signals according to voice characteristics information and acoustic model
Recognition result can specifically include: after generating voice characteristics information, taking turns voice letter using every frame is calculated based on acoustic model more
Likelihood value number in each modeling unit, obtains optimum state metastasis sequence and its corresponding word order by dynamic programming algorithm
Column, and using obtained optimum state metastasis sequence and its corresponding word sequence as recognition result.
It is noted that the acoustic model is the sound based on neural network (DNN, Deep Neural Networks)
Model is learned, the voice characteristics information is identified using the acoustic model neural network based.
It should be noted that calculating the confidence informations of more wheel voice signals, can specifically include: according to recognition result,
The signal-to-noise ratio computation of the sound end of more wheel voice signals and more wheel voice signals takes turns the confidence information of voice signal more.
Furthermore, described according to recognition result, the letter of the sound end of more wheel voice signals and more wheel voice signals
It makes an uproar than the confidence information for calculating more wheel voice signals, can specifically include:
Based on recognition result, the acoustics posterior probability of each word between sound end is calculated, wherein calculate sound end
Between the formula of acoustics posterior probability of k-th of word include:
Wherein, P (X) is the acoustics posterior probability of k-th of word in more wheel voice signals, the word pair when p (m | x) is t frame
The likelihood value of modeling unit is answered,When for t frame the likelihood value of all modeling units and, T (X) is the duration of the word；
According to the acoustics posterior probability of each word between sound end and the corresponding confidence level of each word of signal-to-noise ratio computation
Information.
In the present embodiment, the acoustics posterior probability and signal-to-noise ratio computation according to each word between sound end
The corresponding confidence information of each word, can specifically include:
S31, acoustics posterior probability and signal-to-noise ratio based on current word calculate the confidence level CM (X) of current word, formula packet
It includes:
CM (X)=w*P (X)+(1-w) * SNR (X)
Wherein 0≤w≤1, w are weight coefficient；
S32, the formula for calculating the corresponding confidence level of more wheel voice signals include:
Wherein, t (x) indicates that the duration of n-th of word is long, and CM (x) indicates the confidence level of n-th of word；
S33 carries out read group total to the corresponding confidence level of each word, acquires the confidence level letter of more wheel voice signals
Breath.
Understandable to be, the application can be by two dimensions of confidence information and semantic information to more wheel voice signals
Determined, can effectively determine that whether resolved voice signals of taking turns are correct, revert statement is accurate when improving human-computer interaction more
Property, promote user experience.
Please refer to figure 2, and Fig. 2 is the module diagram of one embodiment of the application navigation terminal, in present embodiment
In, the navigation terminal includes processor 21, memory 22 and display 23, and the processor 21 is used to execute program data,
The step of navigation map data update method based on abnormal road conditions to realize above embodiment, the memory 22 can be with
For storing program data, the display 23 is for being shown.Wherein, the navigation terminal can be smart phone, intelligence
It can wrist-watch, vehicle-mounted computer or navigator.
Specifically, the processor 21 obtains user and is based on abnormal road conditions along navigation routine navigation driving process
Made exception road conditions label, and the abnormal road conditions and time are subjected to corresponding preservation.
In the present embodiment, the processor 21 obtains user and is based on exception road conditions label made by abnormal road conditions, and
The abnormal road conditions and time are subjected to corresponding the step of saving, can specifically include: the processor 21 obtains user and is based on
The label of exception road conditions made by abnormal road conditions, and pop up dialog box and prompt the user whether that marking it is abnormal road conditions, the exception
Road conditions include dismounting, Temporarily Closed and natural dangerous situation.
In this way, present embodiment may be implemented to interact with user, improve interactive experience.
The processor 21 is saving the abnormal road conditions and after the time, is planning real-time routes again.
It should be noted that since road conditions anomaly exist timeliness, navigation ground is intuitively understood in order to facilitate user
The timing node that diagram data updates, therefore, the processor 21 can protect abnormal road conditions and its corresponding timing node
It deposits, facilitates user is subsequent further check, update, for example if the time of road conditions exception is recent possibility before half a year
Recovered, therefore, user can choose whether actively to go to update newest road conditions etc. according to the length of time.
The processor 21 updates corresponding navigation map data according to the abnormal road conditions and time, and according to the reality
When Route Generation be used to evade the navigation more variation routes of the abnormal road conditions, when navigating next time, to be led described in user
Boat more variation route is prompted to user.
It should be noted that in the present embodiment, the processor 21 is according to the abnormal road conditions and time update pair
The step of navigation map data answered can also include: that the processor 21 judges whether in network connection state；Judging
To when being in network connection state, navigation map data corresponding to the abnormal road conditions and time is uploaded into Cloud Server,
So that other navigation equipments use update.
Understandable to be, abnormal road conditions can be shared with other users in this way by present embodiment, convenient
All users improve the competitiveness of product using operation.
It is noted that some possible road conditions can change again, but user may not navigate to the road again
Line can not thus be learnt, for such situation, in the present embodiment, the processor 21 is generated according to the real-time routes
It can also include: that the processor 21 obtains other users for the step of evading the navigation more variation route of the abnormal road conditions
For the update mark of the abnormal road conditions, and when the tag value that update change occurs for road conditions reaches preset threshold, remind
Whether user according to update mark plans navigation routine again, and the update mark includes that road conditions restore normal.Pass through this side
Formula, the application can be realized online intelligent updating exception road conditions, further facilitate user.
It should be strongly noted that the processor 21, which obtains user, is based on exception road conditions label made by abnormal road conditions,
And the abnormal road conditions and time are subjected to corresponding preservation, it can specifically include: the friendship that the processor 21 passes through mostly wheel voice
Mutual mode obtains user and is based on exception road conditions label made by abnormal road conditions, and the abnormal road conditions and time are carried out corresponding guarantor
It deposits；Or, obtaining user by way of detecting touch input is based on exception road conditions label made by abnormal road conditions, and will be described different
Chang Lukuang and time carry out corresponding preservation.
In other words, the application can realize the interactive experience between user more by way of taking turns voice, further
For, the processor 21 obtains user based on exception road conditions mark made by abnormal road conditions by taking turns the interactive mode of voice more
Note, can specifically include: the processor 21 obtains more wheel voice signals of user's input；Known according to more wheel voice signals
The intuitive intention of the not described user.
In the present embodiment, the processor 21 identifies the intuitive meaning of the user according to more wheel voice signals
Figure, can specifically include following processes.
S21 receives more wheel voice signals of input；
S22, framing are extracted the voice characteristics information of more wheel voice signals, are generated according to voice characteristics information and acoustic model
The recognition result of more wheel voice signals；
S23 according to recognition result and presets the mute detection algorithm Preliminary detection sound ends for taking turns voice signals out more；
S24 calculates the confidence information of more wheel voice signals；
S25 parses the semantic information of more wheel voice signals；
S26 obtains the corresponding speech analysis result of more wheel voice signals according to confidence information and semantic information；
S27 identifies that the abnormal road conditions of the user mark according to speech analysis result.
In the preferred embodiment, the processor 21 generates more wheel voice letters according to voice characteristics information and acoustic model
Number recognition result, can specifically include: the processor 21 is after generating voice characteristics information, using based on acoustic model
It calculates every frame and takes turns likelihood value of the voice signal in each modeling unit more, optimum state is obtained by dynamic programming algorithm and shifts sequence
Column and its corresponding word sequence, and using obtained optimum state metastasis sequence and its corresponding word sequence as recognition result.
It is noted that the acoustic model is acoustic model neural network based, nerve net is based on using described
The acoustic model of network identifies the voice characteristics information.
It should be noted that calculating the confidence information of more wheel voice signals, can specifically include: the processor 21
The confidence of voice signal is taken turns according to the signal-to-noise ratio computation of recognition result, the sound end of more wheel voice signals and more wheel voice signals more
Spend information.
Furthermore, described according to recognition result, the letter of the sound end of more wheel voice signals and more wheel voice signals
It makes an uproar than the confidence information for calculating more wheel voice signals, can specifically include:
The processor 21 is based on recognition result, calculates the acoustics posterior probability of each word between sound end, wherein
The formula of acoustics posterior probability for calculating k-th of word between sound end includes:
Wherein, P (X) is the acoustics posterior probability of k-th of word in more wheel voice signals, the word pair when p (m | x) is t frame
The likelihood value of modeling unit is answered,When for t frame the likelihood value of all modeling units and, T (X) is the duration of the word；
According to the acoustics posterior probability of each word between sound end and the corresponding confidence level of each word of signal-to-noise ratio computation
Information.
In the present embodiment, the processor 21 is according to the acoustics posterior probability and letter of each word between sound end
It makes an uproar than calculating the corresponding confidence information of each word, can specifically include:
S31, acoustics posterior probability and signal-to-noise ratio based on current word calculate the confidence level CM (X) of current word, formula packet
It includes:
CM (X)=w*P (X)+(1-w) * SNR (X)
Wherein 0≤w≤1, w are weight coefficient；
S32, the formula for calculating the corresponding confidence level of more wheel voice signals include:
Wherein, t (x) indicates that the duration of n-th of word is long, and CM (x) indicates the confidence level of n-th of word；
S33 carries out read group total to the corresponding confidence level of each word, acquires the confidence level letter of more wheel voice signals
Breath.
Understandable to be, the application can be by two dimensions of confidence information and semantic information to more wheel voice signals
Determined, can effectively determine that whether resolved voice signals of taking turns are correct, revert statement is accurate when improving human-computer interaction more
Property, promote user experience.
The application also provides a kind of automatic driving vehicle, and the automatic driving vehicle is provided with navigation terminal, the navigation
Terminal includes processor, and the processor is for executing program data, to realize the above-mentioned navigation map based on abnormal road conditions
The step of data-updating method.Wherein, the navigation terminal can be navigation terminal mentioned by Fig. 2 and embodiments thereof,
It can be smart phone, navigator etc., be not limited thereto.
Below by taking smart phone as an example, the application navigation map data update method is illustrated, certainly, at this
In the range of technical field personnel understand, it can similarly be applied to navigator, in automatic driving vehicle.
It may include following processes during the application navigation map data update method is specifically used.
Smart phone (or navigator, automatic driving vehicle) opens navigation feature.
Smart phone obtains current position A as departure place.
Smart phone receives the default destination B of user's input.There are many kinds of input methods, such as voice inputs, is hand-written
Input etc..
Smart phone sends default destination B and departure place A to the server of network.
Server determines the navigation routine of AB according to default destination B and departure place A.
Server sends the navigation routine of AB to smart phone.
Smart phone navigates according to the navigation routine of AB.
It is based on exception road conditions label made by abnormal road conditions along navigation routine navigation driving process, obtaining user, and
The abnormal road conditions and time are subjected to corresponding preservation.
It is saving the abnormal road conditions and after the time, is planning real-time routes again.
It is understandable to be, when user is navigated section of the System guides to abnormal road conditions, if it find that the road of front
Road has been removed or road is by permanent closure, and user clicks this road on map at this time, and label road new state is envelope
It closes, after label, navigation system recalculates path, avoids this road.
Hereafter, user can avoid this road when carrying out path computing.User can also by cloud,
The new state of this road is shared with other users, allows more users in planning path, this road can be avoided.
In this way, user utilizes the chance of itself trip, has removed on timely discovery map or closed
Road updates the new state of the road into existing navigation map data, carries out micro- update to navigation map data, without
It is the unalterable data update waited after metadata provider half a year, data is made to update more flexible and fast and effective, route
It is accurately calculated.
The application can carry out navigation map data update according to the abnormal road conditions of the label of user well, and then generate
Practical and convenient navigation more variation route for users to use, is allowed to more convenient user, improves user experience.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight
Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.
For terminal class embodiment, since it is basically similar to the method embodiment, so being described relatively simple, related place ginseng
See the part explanation of embodiment of the method.
The above is only the preferred embodiment of the application, not makes any form of restriction to the application, though
Right the application has been disclosed in a preferred embodiment above, however is not limited to the application, any technology people for being familiar with this profession
Member, is not departing within the scope of technical scheme, when the technology contents using the disclosure above make a little change or modification
For the equivalent embodiment of equivalent variations, but all technical spirits pair without departing from technical scheme content, according to the application
Any simple modification, equivalent change and modification made by above embodiments, in the range of still falling within technical scheme.
Claims (10)
1. a kind of navigation map data update method based on abnormal road conditions, which is characterized in that the navigation map data updates
Method includes:
It is marked along navigation routine navigation driving process, obtaining user and being based on exception road conditions made by abnormal road conditions, and by institute
It states abnormal road conditions and the time carries out corresponding preservation；
It is saving the abnormal road conditions and after the time, is planning real-time routes again；
Corresponding navigation map data is updated according to the abnormal road conditions and time, and is generated according to the real-time routes for advising
Refuge states the navigation more variation route of abnormal road conditions, when navigating next time, the navigation more variation route to be prompted in user
User.
2. navigation map data update method according to claim 1, which is characterized in that described according to the abnormal road conditions
And the time updates the step of corresponding navigation map data, further includes:
Judge whether in network connection state；
When determining in network connection state, navigation map data corresponding to the abnormal road conditions and time is uploaded to
Cloud Server, so that other navigation equipments use update.
3. navigation map data update method according to claim 1 or 2, which is characterized in that the acquisition user is based on
The label of exception road conditions made by abnormal road conditions, and the abnormal road conditions and time are subjected to corresponding the step of saving, it specifically includes:
It obtains user and is based on exception road conditions label made by abnormal road conditions, and pop up dialog box and prompt the user whether that it is different for marking it
Chang Lukuang, the exception road conditions include dismounting, Temporarily Closed and natural dangerous situation.
4. navigation map data update method according to claim 3, which is characterized in that described according to the real-time routes
The step of generating the navigation more variation route for evading the abnormal road conditions, further includes:
Other users are obtained for the update mark of the abnormal road conditions, and the tag value that update changes occurs in road conditions and reaches
When preset threshold, remind whether user according to update mark plans navigation routine again, the update mark includes that road conditions are restored
Normally.
5. navigation map data update method according to claim 3, which is characterized in that the acquisition user is based on abnormal
The label of exception road conditions made by road conditions, and the abnormal road conditions and time are subjected to corresponding preservation, it specifically includes:
Interactive mode by more taking turns voice, which obtains user and is based on exception road conditions made by abnormal road conditions, to be marked, and by the exception
Road conditions and time carry out corresponding preservation；
Or, obtaining user by way of detecting touch input is based on exception road conditions label made by abnormal road conditions, and will be described
Abnormal road conditions and time carry out corresponding preservation.
6. navigation map data update method according to claim 5, which is characterized in that the friendship by more taking turns voice
Mutual mode obtains user and is based on exception road conditions label made by abnormal road conditions, specifically includes:
Obtain more wheel voice signals of user's input；
The intuitive intention of the user is identified according to more wheel voice signals.
7. navigation map data update method according to claim 6, which is characterized in that described according to more wheel voices
The intuitive intention of user described in signal identification, specifically includes:
Receive more wheel voice signals of input；
The voice characteristics information of more wheel voice signals is extracted in framing, is generated according to voice characteristics information and acoustic model and takes turns voice more
The recognition result of signal；
According to recognition result and preset the mute detection algorithm Preliminary detection sound ends for taking turns voice signals out more；
Calculate the confidence information of more wheel voice signals；
The semantic information of the more wheel voice signals of parsing；
The corresponding speech analysis result of more wheel voice signals is obtained according to confidence information and semantic information；
The abnormal road conditions label of the user is identified according to speech analysis result.
8. navigation map data update method according to claim 7, which is characterized in that described according to voice characteristics information
The recognition result that more wheel voice signals are generated with acoustic model, specifically includes:
After generating voice characteristics information, take turns voice signal in each modeling unit using every frame is calculated based on acoustic model more
Likelihood value, optimum state metastasis sequence and its corresponding word sequence are obtained by dynamic programming algorithm, and by it is obtained most
Excellent state metastasis sequence and its corresponding word sequence are as recognition result.
9. a kind of navigation terminal, which is characterized in that the navigation terminal includes processor, and the processor is for executing program number
According to, the step of to realize the navigation map data update method according to claim 1-8 based on abnormal road conditions,
The navigation terminal is smart phone, smartwatch, vehicle-mounted computer or navigator.
10. a kind of automatic driving vehicle, which is characterized in that the automatic driving vehicle is provided with navigation terminal, and the navigation is eventually
End includes processor, and the processor is for executing program data, to realize according to claim 1-8 be based on
The step of navigation map data update method of abnormal road conditions.
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