CN108731699A - Intelligent terminal and its voice-based navigation routine planing method and vehicle again - Google Patents
Intelligent terminal and its voice-based navigation routine planing method and vehicle again Download PDFInfo
- Publication number
- CN108731699A CN108731699A CN201810434897.7A CN201810434897A CN108731699A CN 108731699 A CN108731699 A CN 108731699A CN 201810434897 A CN201810434897 A CN 201810434897A CN 108731699 A CN108731699 A CN 108731699A
- Authority
- CN
- China
- Prior art keywords
- voice
- navigation routine
- user
- wheel
- planing method
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 230000008569 process Effects 0.000 claims abstract description 22
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000004422 calculation algorithm Methods 0.000 claims description 6
- 206010027476 Metastases Diseases 0.000 claims description 5
- 230000009401 metastasis Effects 0.000 claims description 5
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 238000009432 framing Methods 0.000 claims description 3
- 230000005236 sound signal Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 25
- 230000009471 action Effects 0.000 abstract description 4
- 238000004891 communication Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 7
- 230000006855 networking Effects 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 230000003993 interaction Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 102100034112 Alkyldihydroxyacetonephosphate synthase, peroxisomal Human genes 0.000 description 3
- 101000799143 Homo sapiens Alkyldihydroxyacetonephosphate synthase, peroxisomal Proteins 0.000 description 3
- 238000000848 angular dependent Auger electron spectroscopy Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000003466 anti-cipated effect Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 239000003921 oil Substances 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000003786 synthesis reaction Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000003190 augmentative effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000035800 maturation Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000010705 motor oil Substances 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/02—Feature extraction for speech recognition; Selection of recognition unit
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Artificial Intelligence (AREA)
- Automation & Control Theory (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Navigation (AREA)
Abstract
The application provides a kind of intelligent terminal and its voice-based navigation routine planing method and vehicle again, when pushing the first navigation routine on navigation map, intelligent terminal judges whether to receive the voice signal of user, when judging to receive voice signal, the target intention of the user is identified according to the voice signal, then judge whether the target intention of the user needs to be modified first navigation routine, if it is, planning the second navigation routine being consistent with the target intention again.The application can refer to voice technology in the planning again of navigation routine, the application can reduce the number of user's manual operation using speech recognition technology, improve user experience, and the enjoyment of " need to only open one's mouth; need not start " can be let user experiencing, especially in driving process, by reducing manual operation action to the greatest extent, the safety of user can be ensured.
Description
Technical field
This application involves field of navigation technology, and in particular to a kind of voice-based navigation routine planing method again is adopted
With the intelligent terminal of the voice-based navigation routine again planing method, and the vehicle of the application intelligent terminal.
Background technology
GPS (Global Positioning System, global positioning system) is that the U.S. is ground since the 1970s
System, built up comprehensively in 1994, has and is led in the comprehensive real-time three-dimensional navigation in sea, land and sky and the satellite of new generation of stationkeeping ability
Boat and positioning system.GPS system cannot be only used for measuring, navigate, it may also be used for when testing the speed, surveying.The satellite arrived by GPS receiver
Signal is accurately positioned, and can learn the information such as travel route, position, speed, the height above sea level of vehicle.
GIS (Geographical Information System, GIS-Geographic Information System) is from late 1950s and 60
Start to occur at the beginning of age, be the mankind in production practices activity, is gradually generated soft to describe geography information related to handling
Part system.It is handled the spatial data with geographical feature using computer as means, based on a spatial information
Line combines various other associated spatial positional informations, has and such as acquires, manages, analyzes and express data
Function.Secondly, the data of GIS processing all have direct or indirect relationship with geography information.Geography information is related geographical real
Property, feature, the characterization of motion state and all useful knowledge of body, and geodata is then various geographical features and phenomenon
Between relationship 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 auto industry and the gradual maturation of automotive electronics market, vehicle mounted guidance production
Product have begun to take shape.In American-European and Japan, such automatic navigator use is commonplace, the GPS auto navigations production of the current country
Product also have the market trend of sharp increase.
Android (Android) is the mobile terminal operating system based on Linux platform, is increased income in recent years by it, efficiently
Etc. advantages and manufacturer promotion, won vast user group.It is big absolutely by mobile terminal of operating system itself of Android
Majority has the function of the calculation processing power of high speed and GPS, has bright future in the expansion of function.
But in the prior art, user can not utilize the direct speech trigger of existing navigation system and search destination,
Either needed during manual search user do it yourself to screen or ride on there are congestions to open
Dynamic navigation circuit planning advance professional etiquette is kept away, and car owner has found congestion in navigation, can only voluntarily switch route, and equipment is subsequently counted again
It calculates.Car owner voluntarily switches circuit, and there are certain uncertainties, it cannot be guaranteed that the circuit of car owner's selection is most rapid line.And
And existing man machine language's interactive mode uses very inconvenient, each question-response, is required for user intervention, operation numerous
Trivial, man-machine interaction mode is also very unnatural, and user experience is poor.
Insufficient for the various aspects of the prior art, present inventor proposes a kind of intelligent terminal by further investigation
And its voice-based navigation routine planing method and vehicle again.
Invention content
The purpose of the application is, provide a kind of intelligent terminal and its voice-based navigation routine again planing method,
And vehicle, voice technology can be referred in the planning again of navigation routine, the application can be reduced using speech recognition technology
The number of user's manual operation, improves user experience, and can let user experiencing the pleasure of " need to only open one's mouth, need not start "
Interest especially in driving process by reducing manual operation action to the greatest extent, can ensure the safety of user.
In order to solve the above technical problems, the application provides a kind of voice-based navigation routine planing method again, it is described
Again planing method includes the following steps voice-based navigation routine:
When pushing the first navigation routine on navigation map, intelligent terminal judges whether to receive the voice signal of user;
When judging to receive voice signal, the target intention of the user is identified according to the voice signal;
Judge whether the target intention of the user needs to be modified first navigation routine;
First navigation routine is modified if determining needs, again planning be consistent with the target intention the
Two navigation routines.
As one of which embodiment, the step of the second navigation routine that planning is consistent with the target intention described again
Suddenly, following process is specifically included:
If the target intention is to evade in first navigation routine abandoning section, abandoned described when planning again
Section is rejected from first navigation routine, and searches the replaceable target road section for abandoning section, by the target road
Section replaces described abandon in section to obtain second navigation routine;
If or, the target intention is to evade in first navigation routine abandoning section, by it is described abandon section from
It is hidden in navigation map, and is planned again according to the navigation map after hiding and obtain second navigation routine.
As one of which embodiment, the intelligent terminal supports more wheel voice signals, described to be believed according to the voice
The step of target intention of number identification user, specifically include following process:
Receive the one or many more wheel voice signals said of user;
The voice characteristics information of the more wheel voice signals of framing extraction, gives birth to according to voice characteristics information and preset acoustic model
At the recognition result of more wheel voice signals;
The sound end of mostly wheel voice signal is detected according to the recognition result and preset mute detection algorithm;
The confidence information of more wheel voice signals is calculated according to the sound end, and parses the semanteme of more wheel voice signals
Information;
The corresponding speech analysis result of more wheel voice signals is obtained according to the confidence information and institute's semantic information;
The target intention of the user is identified according to the speech analysis result.
It is described that more wheel voices are generated according to voice characteristics information and preset acoustic model as one of which embodiment
The step of recognition result of signal, specifically includes following process:
After generating voice characteristics information, is calculated using preset acoustic model and take turns voice signal per frame in each modeling more
Likelihood value on unit obtains optimum state metastasis sequence and its corresponding word sequence by preset dynamic programming algorithm, and
Using obtained optimum state metastasis sequence and its corresponding word sequence as the recognition result of more wheel voice signals.
As one of which embodiment, the acoustic model is the acoustic model based on neural network.
As one of which embodiment, the confidence information that more wheel voice signals are calculated according to the sound end
The step of, specifically include following process:
Each word in voice signal, short is taken turns according to the signal-to-noise ratio computation of the sound end and more wheel voice signal more
The confidence information of language, and verify the semantic informations for taking turns voice signal entirety in conjunction with the posterior mode of acoustics more.
As one of which embodiment, the step of the target intention that the user is identified according to the voice signal
Suddenly, following process is specifically included:
User is received to input using the voice signal of natural language and generate voice document;
Institute's voice file is converted into text-only file;
Text participle is carried out to the text-only file, wherein the participle uses Chinese dictionary, the Chinese dictionary to adopt
Use tree;
According to the first keyword of text identification after participle, for failing the text of identification then using the user pre-established
Custom carries out match cognization to obtain the second keyword with dictionary;
First keyword and second keyword are combined and obtain the target intention of the user to identify.
As one of which embodiment, the reception user is inputted using the voice signal of natural language and is generated voice
The step of file further includes the process that colloquial style word is removed to institute's voice file.
In order to solve the above technical problems, the application also provides a kind of intelligent terminal, the intelligent terminal includes processor, institute
Processor is stated for executing the program data that navigation routine is planned again, to realize above-mentioned voice-based navigation routine again
The step of planing method.
In order to solve the above technical problems, the application also provides a kind of vehicle, the vehicle configuration has above-mentioned intelligent terminal,
The intelligent terminal is vehicle device equipment.
The application intelligent terminal and its voice-based navigation routine planing method and vehicle again, on navigation map
When pushing the first navigation routine, intelligent terminal judges whether to receive the voice signal of user, is judging to receive voice signal
When, the target intention of the user is identified according to the voice signal, then judges whether the target intention of the user needs
First navigation routine is modified, if it is, planning the second navigation routine being consistent with the target intention again.
The application can refer to voice technology in the planning again of navigation routine, and the application can reduce use using speech recognition technology
The number of family manual operation, improves user experience, and can let user experiencing the pleasure of " need to only open one's mouth, need not start "
Interest especially in driving process by reducing manual operation action to the greatest extent, can ensure the safety of user.
Above description is only the general introduction of technical scheme, in order to better understand the technological means of the application,
And 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 coordinate attached drawing, detailed description are as follows.
Description of the drawings
Fig. 1 is the flow diagram of the voice-based navigation routine of the application one embodiment of planing method again.
Fig. 2 be voice-based navigation routine shown in Fig. 1 again in planing method step S102 an embodiment flow
Schematic diagram.
Fig. 3 be voice-based navigation routine shown in Fig. 1 again in planing method step S102 another realization method stream
Journey schematic diagram.
Fig. 4 is the structural schematic diagram of one embodiment of the application intelligent terminal.
Specific implementation mode
Further to illustrate that the application is the technological means and effect reached predetermined application purpose and taken, below in conjunction with
Attached drawing and preferred embodiment, to the application, detailed description are as follows.
By the explanation of specific implementation mode, when can be to reach the technological means and effect that predetermined purpose is taken to the application
Fruit be able to more deeply and it is specific understand, however institute's accompanying drawings are only to provide reference and description is used, and are not used for this Shen
It please limit.
Referring to Fig. 1, Fig. 1 shows for the flow of the voice-based navigation routine of the application again one embodiment of planing method
It is intended to.
In the present embodiment, planing method includes but not limited to following step to the voice-based navigation routine again
Suddenly.
Step S101, when pushing the first navigation routine on navigation map, intelligent terminal judges whether to receive user's
Voice signal;Wherein, it is not dealt with if judging not receiving voice signal;
Step S102 identifies that the target of the user is anticipated when judging to receive voice signal according to the voice signal
Figure;
Step S103, judges whether the target intention of the user needs to be modified first navigation routine;Its
In, it is not dealt with if being judged as not needing;
Step S104 is modified first navigation routine if determining needs, and planning again is anticipated with the target
The second navigation routine that figure is consistent.
It should be noted that described push the first navigation routine on navigation map, can be to be used described first
Navigation routine navigates or user just starts to start the first time navigation map shown when navigation.The navigation map can
To be shown to navigation routine by different font or color, to facilitate user's first time observation to handle, certainly, may be used also
By simultaneously by speech play in a manner of will on the way main section title play cuing to user.
It is noted that in order to realize the interaction between user and intelligent terminal, link up immediately, user experience is improved,
Intelligent terminal described in present embodiment can support more wheel voice signals, correspondingly, referring to Fig. 2, Fig. 2 is to be based on shown in Fig. 1
The navigation routine of voice again in planing method step S102 an embodiment flow diagram, basis described in present embodiment
The voice signal identifies the step of target intention of the user, can specifically include following process.
Step S201 receives the one or many more wheel voice signals said of user;
Step S202, the voice characteristics informations of the more wheel voice signals of framing extraction, according to voice characteristics information and preset
Acoustic model generates the recognition result of more wheel voice signals;
Step S203 detects the voice for more taking turns voice signal according to the recognition result and preset mute detection algorithm
Endpoint;
Step S204, the confidence information of more wheel voice signals is calculated according to the sound end, and is parsed and taken turns voice more
The semantic information of signal;
Step S205 obtains the corresponding voice solution of more wheel voice signals according to the confidence information and institute's semantic information
Analyse result;
Step S206 identifies the target intention of the user according to the speech analysis result.
Furthermore, the identification that more wheel voice signals are generated according to voice characteristics information and preset acoustic model
As a result the step of, can specifically include following process:After generating voice characteristics information, calculated using preset acoustic model every
Frame takes turns likelihood value of the voice signal in each modeling unit more, and optimum state transfer is obtained by preset dynamic programming algorithm
Sequence and its corresponding word sequence, and using obtained optimum state metastasis sequence and its corresponding word sequence as more wheels
The recognition result of voice signal.
In the present embodiment, the acoustic model can be the acoustic model based on neural network.
It should be noted that the confidence level for calculating more wheel voice signals described in present embodiment according to the sound end is believed
The step of breath, specifically includes following process:It is taken turns according to the signal-to-noise ratio computation of the sound end and more wheel voice signals more
The confidence information of each word, phrase in voice signal, and verify more wheel voice signals entirety in conjunction with the posterior mode of acoustics
Semantic information.
It is worth noting that, user's operation, user are not necessarily to progress and train word in advance, without using fixation for convenience
Word, can processing directly be identified to common natural language in the application, specifically, referring to Fig. 3, Fig. 3 is Fig. 1
Shown voice-based navigation routine again in planing method step S102 another realization method flow diagram, this embodiment party
The step of identifying the target intention of the user according to the voice signal described in formula can specifically include following process.
Step S301 receives user and is inputted using the voice signal of natural language and generated voice document;
Institute's voice file is converted into text-only file by step S302;
Step S303 carries out text participle to the text-only file, wherein the participle uses Chinese dictionary, described
Chinese dictionary uses tree;
Step S304, according to the first keyword of text identification after participle, the text for failing identification then uses advance
The user of foundation is accustomed to carrying out match cognization with dictionary to obtain the second keyword;
First keyword and second keyword are combined and obtain the user's to identify by step S305
Target intention.
It should be noted that the reception user is inputted using the voice signal of natural language and is generated the step of voice document
Suddenly, further include the process that colloquial style word is removed to institute's voice file.In this way, user can be more natural
Ground is controlled using voice.
In the present embodiment, the step of the second navigation routine that planning is consistent with the target intention described again, tool
Body comprises the following processes:It, will when planning again if the target intention is to evade in first navigation routine abandoning section
The section of abandoning is rejected from first navigation routine, and searches the replaceable target road section for abandoning section, by institute
It states target road section and replaces described abandon in section to obtain second navigation routine;If or, the target intention is to evade
Abandon section in first navigation routine, by it is described abandon section from navigation map hide, and according to hide after leading
Boat map is planned again obtains second navigation routine.
In other embodiments, the target intention can also be to specify that certain section must be walked, at this point, advising again
The section can be then pre-added in navigation routine when drawing, be planned again then according to starting point, the section and terminal
Obtain the second navigation routine.
It is noted that present embodiment can support it is repeated multiple times planned navigation routine again, and same
When once planning navigation routine again, it can support that abandoning section to multistage simultaneously carries out multiselect, for example user says and " do not walk A
Road ", " not walking the roads S " and " it is quick not walk x ", in other words " I will walk the roads Y " and " will pass through H quick " etc..
For example, following application examples may be implemented in present embodiment:
1. user setting terminal calculates the first navigation routine using current parking stall as starting point.
2. at navigation map interface, the first navigation routine is highlighted and is depicted.
3. the main roads title in each section, is indicated on the first navigation routine on the first navigation routine.
4. when user speech is said:" roads Bu Zou XXX ", recognizes voice signal, in the map datum of the first navigation routine
The road net data for finding entitled XXX, recalculates course line.
5. plan again, the road net data of entitled XXX is encountered, is directly ignored, path computing is not involved in.Finally
The second navigation routine calculated just avoids XXX roads.
In the present embodiment, the intelligent terminal can be mobile phone, vehicle device equipment or tablet computer etc..
The application can refer to voice technology in the planning again of navigation routine, and the application utilizes speech recognition technology
Can reduce user manual operation number, improve user experience, and can let user experiencing " only need to open one's mouth, need not move
The enjoyment of hand " especially in driving process by reducing manual operation action to the greatest extent, can ensure the safety of user.
It is please the structural schematic diagram of one embodiment of the application intelligent terminal referring next to Fig. 4, Fig. 4.
The application also provides a kind of intelligent terminal, and the intelligent terminal includes processor 41, and the processor 41 is for holding
The program data that row navigation routine is planned again, to realize the step of above-mentioned voice-based navigation routine planing method again
Suddenly.
Meanwhile the application also provides a kind of vehicle, the vehicle configuration has the above-mentioned intelligent terminal, the intelligent terminal to be
Vehicle device equipment.
Wherein, can be by wired or be wirelessly attached between the vehicle device equipment and vehicle, such as 5G
(the 5th third-generation mobile communication technology) and WIFI etc..
It should be noted that WiFi technology or 5G technologies etc. may be used in present embodiment intelligent terminal and vehicle, than
The mutual network connection of 5G car networking real-time performances is such as utilized, 5G technologies used by present embodiment can be one towards field
The technology of scape, the application play vehicle crucial supporting function using 5G technologies, realize simultaneously connection people, attachment or
Vehicle is connected, following three typical case scene compositions specifically may be used.
First is eMBB (Enhance Mobile Broadband enhance mobile broadband), and user experience rate is made to exist
0.1~1gpbs, peak rate is in 10gbps, and flux density is in 10Tbps/km2;
Second super reliable low time delay communication, the leading indicator that the application may be implemented are that time delay is ms end to end
(millisecond) rank;Reliability is close to 100%;
Third is mMTC (magnanimity machine type communication), and the leading indicator that the application may be implemented is connection number density, often
Square kilometre connection 1,000,000 other-ends, 10^6/km2.
By the above-mentioned means, the application using 5G technologies super reliable, low time delay when the characteristics of, in conjunction with such as radar with take the photograph
Interaction can be realized with vehicle, while feeling using the interactive of 5G technologies to the ability shown in vehicle offer as first-class
Know that function, user can do external environment one output, luminous energy does not detect state, can also do some feedbacks etc..Into one
For step, the application is also applied to inside the collaboration of automatic Pilot, such as platooning etc..
In addition, the application can also utilize 5G technologies to realize communication enhancing automatic Pilot sensing capability, and can meet
Passenger inside the vehicle to the on-vehicle informations such as AR (augmented reality)/VR (virtual reality), game, film, mobile office entertain and it is high-precision
The demand of degree.The download of the other 3D high accuracy positionings map of Centimeter Level may be implemented in 3~4Gb/km, normal vehicle in the application
The data volume of speed limit 120km/h (thousand ms/hour) map lower each second is 90Mbps~120Mbps (megabits per second), simultaneously also
It can support the local map Real-time Reconstruction of fusion onboard sensor information, and dangerous situation modeling and analysis etc..
In this application, above-mentioned vehicle device equipment can use in the Vehicular system for having vehicle TBOX, can also connect
It is connected in the CAN bus of vehicle.
In the present embodiment, CAN may include three network channels CAN_1, CAN_2 and CAN_3, and vehicle can also be set
An ethernet network channel is set, wherein three CAN network channels can be logical by two car networking gateways and ethernet network
Road is connected, and for example, wherein CAN_1 network channels include hybrid drive train, and wherein CAN_2 network channels include
Running guarantee system, wherein CAN_3 network channels include electric dynamometer system, and ethernet network channel includes higher management system
System, the higher management system include being connected to people-Che-road simulation system on ethernet network channel and comprehensive as node
Close information acquisition unit, the CAN_1 network channels, CAN_2 network channels and ethernet network channel car networking gateway
It can be integrated in integrated information collecting unit;CAN_3 network channels and the car networking gateway in ethernet network channel can collect
At in people-Che-road simulation system.
Furthermore, the node of CAN_1 network channels connection has:Engine ECU, motor MCU, battery BMS,
Automatic transmission TCU and hybrid controller HCU;The node of CAN_2 network channels connection has:Rack TT&C system, oil
Door sensor group, power analyzer, instant oil consumption instrument, DC power cabinet, engine water temperature control system, engine motor oil temperature
Cold temperature control system in control system, motor water temperature control system and engine;The node of CAN_3 network channels connection
Have:Electric dynamometer controller.
The rate of the preferred CAN_1 network channels is 250Kbps, using J1939 agreements;CAN_2 network channels
Rate be 500Kbps, using CANopen agreements;The rate of CAN_3 network channels is 1Mbps, using CANopen agreements;With
Too the rate of net network channel is 10/100Mbps, using ICP/IP protocol.
In the present embodiment, the car networking gateway supports the 5G networks of 5G technologies, may be fitted with
IEEE802.3 interfaces, DSPI interfaces, eSCI interfaces, CAN interface, MLB interfaces, LIN interfaces and/or I2C interface.
In the present embodiment, it for example, IEEE802.3 interfaces can be used for connecting wireless router, is provided for vehicle
WIFI network;DSPI (supplier's manager component) interface is suitable for connecting Bluetooth adapter and NFC (close range wireless communication)
Orchestration can provide bluetooth connection and be connected with NFC;ESCI interfaces are for connecting 4G/5G modules, with internet communication;CAN interface
For connecting vehicle CAN bus;MLB interfaces are used to connect interior MOST (the system transmission towards media) bus, LIN interfaces
For connecting interior LIN (local interconnect network) bus;IC interfaces are for connecting DSRC (special short range communication) modules and fingerprint
Identification module.In addition, the application can mutually convert each different agreement by using MPC5668G chips, it will be different
Network merged.
In addition, at present embodiment vehicle TBOX systems or Telematics-BOX, referred to as vehicle-mounted TBOX or remote information
Manage device.
Present embodiment Telematics is the telecommunications (Telecommunications) and information science of telecommunication
(Informatics) synthesis is defined as leading by the computer system, wireless communication technique, satellite that are built on vehicle
Boat device, the service system for exchanging the Internet technologies of information such as word, voice and information being provided.Briefly just by wireless
Vehicle is accessed internet (car networking system) by network, and various information necessary to driving, life are provided for car owner.
In addition, present embodiment Telematics is wireless communication technique, satellite navigation system, network communication technology and vehicle
The synthesis for carrying computer, when breaking down in vehicle traveling, Connection Service center, carries out remote vehicle and examines by radio communication
Disconnected, built-in computer on the engine can record the state of vehicle critical piece, and be provided accurately for maintenance personal at any time
Abort situation and reason.Information is received by user communication terminal and checks traffic map, road conditions introduction, traffic information, peace
Entirely with public security service and entertainment information service etc., in addition, the vehicle of present embodiment can also back seat be arranged electronic game
And network application.It can be appreciated that present embodiment provides service by Telematics, user can be facilitated to understand traffic letter
The parking situation in parking lot is ceased, closed on, current location is confirmed, can also be connect with the network server in family, understand house in time
In electric appliance working order, security situation and guest come to visit situation etc..
ADAS (Advanced Driver Assistant System, advanced driving can be also arranged in present embodiment vehicle
Auxiliary system), the above-mentioned various sensors being installed on vehicle, the environment number inside and outside first time collecting cart can be utilized
According to the technical processing such as quiet, dynamic object identification, detecting and tracking being carried out, so as to allow driver when most fast
Between discover may generation danger, to arouse attention and improve safety.Accordingly, the application ADAS can also use radar,
The sensors such as laser and ultrasonic wave can detect light, heat, pressure or other variables for monitoring vehicle-state, be usually located at
The front/rear collision bumper of vehicle, side-view mirror, inside control stick or on windshield.It is not difficult to find out, above-mentioned ADAS functions are used
Various Intelligent hardwares, can be accessed by way of ethernet link car networking system realize communication connection, interaction.
The host of present embodiment vehicle may include logical device, circuit and/or code appropriate for realizing OSI moulds
Type (Open System Interconnection, inventionthe open systems interconnection reference model) five layers of operation above and/or
Feature operation.Therefore, host can be generated for the data packet of network transmission and/or be handled these data packets, and also
The data packet received from network can be handled.Meanwhile host can be a kind of or more by executing command adapted thereto and/or operation
Application program is planted to provide service for local user and/or one or more remote users or network node.The application not
With in embodiment, one or more security protocols can be used in host.
The above is only the preferred embodiment of the application, not made any form of restriction to the application, though
Right the application is disclosed above with preferred embodiment, 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, as long as being the technical spirit pair according to the application without departing from technical scheme content
Any simple modification, equivalent change and modification made by above example, in the range of still falling within technical scheme.
Claims (10)
1. a kind of voice-based navigation routine planing method again, which is characterized in that the voice-based navigation routine weight
New planing method includes the following steps:
When pushing the first navigation routine on navigation map, intelligent terminal judges whether to receive the voice signal of user;
When judging to receive voice signal, the target intention of the user is identified according to the voice signal;
Judge whether the target intention of the user needs to be modified first navigation routine;
First navigation routine is modified if determining needs, plans that second to be consistent with the target intention is led again
Air route line.
2. voice-based navigation routine according to claim 1 planing method again, which is characterized in that described to advise again
The step of drawing the second navigation routine being consistent with the target intention, specifically includes following process:
If the target intention is to evade in first navigation routine abandoning section, section is abandoned by described when planning again
It is rejected from first navigation routine, and searches the replaceable target road section for abandoning section, the target road section is set
It is abandoned described in change in section to obtain second navigation routine;
If or, the target intention is to evade in first navigation routine abandoning section, by the section of abandoning from navigation
It is hidden in map, and is planned again according to the navigation map after hiding and obtain second navigation routine.
3. voice-based navigation routine according to claim 2 planing method again, which is characterized in that the intelligence is eventually
It the step of more wheel voice signals of end support, the target intention that the user is identified according to the voice signal, specifically includes
Following process:
Receive the one or many more wheel voice signals said of user;
The voice characteristics information of the more wheel voice signals of framing extraction, institute is generated according to voice characteristics information and preset acoustic model
State the recognition result of more wheel voice signals;
The sound end of mostly wheel voice signal is detected according to the recognition result and preset mute detection algorithm;
The confidence information of more wheel voice signals is calculated according to the sound end, and parses the semantic letter of more wheel voice signals
Breath;
The corresponding speech analysis result of more wheel voice signals is obtained according to the confidence information and institute's semantic information;
The target intention of the user is identified according to the speech analysis result.
4. voice-based navigation routine according to claim 3 planing method again, which is characterized in that described according to language
Sound characteristic information and preset acoustic model generate the step of recognition result of more wheel voice signals, specifically include following process:
After generating voice characteristics information, is calculated using preset acoustic model and take turns voice signal per frame in each modeling unit more
On likelihood value, optimum state metastasis sequence and its corresponding word sequence are obtained by preset dynamic programming algorithm, and by institute
Recognition result of the obtained optimum state metastasis sequence and its corresponding word sequence as more wheel voice signals.
5. voice-based navigation routine according to claim 4 planing method again, which is characterized in that the acoustic mode
Type is the acoustic model based on neural network.
6. voice-based navigation routine according to claim 5 planing method again, which is characterized in that described according to institute
Predicate voice endpoint calculates the step of confidence information of more wheel voice signals, specifically includes following process:
Each word in voice signal, phrase are taken turns according to the signal-to-noise ratio computation of the sound end and more wheel voice signal more
Confidence information, and verify the semantic informations for taking turns voice signal entirety in conjunction with the posterior mode of acoustics more.
7. voice-based navigation routine according to claim 2 planing method again, which is characterized in that described according to institute
Predicate sound signal identifies the step of target intention of the user, specifically includes following process:
User is received to input using the voice signal of natural language and generate voice document;
Institute's voice file is converted into text-only file;
Text participle is carried out to the text-only file, wherein the participle uses Chinese dictionary, and the Chinese dictionary is using tree
Shape structure;
According to the first keyword of text identification after participle, the text for failing identification is then accustomed to using the user pre-established
Match cognization is carried out to obtain the second keyword with dictionary;
First keyword and second keyword are combined and obtain the target intention of the user to identify.
8. voice-based navigation routine according to claim 7 planing method again, which is characterized in that the reception is used
The step of family is inputted using the voice signal of natural language and generated voice document, further includes being removed to institute's voice file
The process of colloquial style word.
9. a kind of intelligent terminal, which is characterized in that the intelligent terminal includes:
Processor, the program data planned again for executing navigation routine, to realize according to described in claim any one of 1-8
Voice-based navigation routine again planing method the step of.
10. a kind of vehicle, which is characterized in that the intelligent terminal described in the with good grounds claim 9 of vehicle configuration, the intelligence
Terminal is vehicle device equipment.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810434897.7A CN108731699A (en) | 2018-05-09 | 2018-05-09 | Intelligent terminal and its voice-based navigation routine planing method and vehicle again |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810434897.7A CN108731699A (en) | 2018-05-09 | 2018-05-09 | Intelligent terminal and its voice-based navigation routine planing method and vehicle again |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108731699A true CN108731699A (en) | 2018-11-02 |
Family
ID=63937301
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810434897.7A Pending CN108731699A (en) | 2018-05-09 | 2018-05-09 | Intelligent terminal and its voice-based navigation routine planing method and vehicle again |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108731699A (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109767770A (en) * | 2019-02-26 | 2019-05-17 | 吴鑫 | A kind of navigation of vehicle-mounted voice and voice chatting system |
CN110103989A (en) * | 2019-05-17 | 2019-08-09 | 爱驰汽车有限公司 | Automatic Pilot active interactive onboard system, method, equipment and storage medium |
CN110411471A (en) * | 2019-07-29 | 2019-11-05 | 武汉仕代建筑配套工程有限公司 | A kind of intelligence direction giving system and its working method |
CN110926493A (en) * | 2019-12-10 | 2020-03-27 | 广州小鹏汽车科技有限公司 | Navigation method, navigation device, vehicle and computer readable storage medium |
CN111024106A (en) * | 2019-12-10 | 2020-04-17 | 上海博泰悦臻电子设备制造有限公司 | Vehicle, navigation device and integrated navigation planning method thereof |
CN111669708A (en) * | 2019-03-07 | 2020-09-15 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, vehicle equipment and emergency navigation method based on vehicle networking emergency |
CN112113574A (en) * | 2020-03-02 | 2020-12-22 | 北京百度网讯科技有限公司 | Method, apparatus, computing device and computer-readable storage medium for positioning |
CN118230737A (en) * | 2024-05-23 | 2024-06-21 | 深圳市创达电子有限公司 | Parking lot voice recognition intelligent feedback method and system |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2001056228A (en) * | 1999-08-18 | 2001-02-27 | Alpine Electronics Inc | Navigation system |
US20020184017A1 (en) * | 2001-05-04 | 2002-12-05 | Lee Chin-Hui | Method and apparatus for performing real-time endpoint detection in automatic speech recognition |
JP2003209867A (en) * | 2001-12-28 | 2003-07-25 | Motorola Inc | Data transmission method for mobile communication apparatus, data reception method for the mobile communication apparatus, the mobile communication apparatus and voice portal system |
US20090150156A1 (en) * | 2007-12-11 | 2009-06-11 | Kennewick Michael R | System and method for providing a natural language voice user interface in an integrated voice navigation services environment |
WO2009140884A1 (en) * | 2008-05-23 | 2009-11-26 | 深圳市北科瑞声科技有限公司 | A vehicle speech interactive system |
CN102543082A (en) * | 2012-01-19 | 2012-07-04 | 北京赛德斯汽车信息技术有限公司 | Voice operation method for in-vehicle information service system adopting natural language and voice operation system |
WO2013069060A1 (en) * | 2011-11-10 | 2013-05-16 | 三菱電機株式会社 | Navigation device and method |
CN103604438A (en) * | 2013-11-07 | 2014-02-26 | 深圳市美赛达科技股份有限公司 | Voice navigation input device, voice navigation input method and navigation system based on Bluetooth communication |
CN104535074A (en) * | 2014-12-05 | 2015-04-22 | 惠州Tcl移动通信有限公司 | Bluetooth earphone-based voice navigation method, system and terminal |
CN105261357A (en) * | 2015-09-15 | 2016-01-20 | 百度在线网络技术(北京)有限公司 | Voice endpoint detection method and device based on statistics model |
CN105529028A (en) * | 2015-12-09 | 2016-04-27 | 百度在线网络技术(北京)有限公司 | Voice analytical method and apparatus |
KR20160064657A (en) * | 2014-11-28 | 2016-06-08 | 현대모비스 주식회사 | Apparatus for providing navigation function using speech recognition and method thereof |
CN105675008A (en) * | 2016-01-08 | 2016-06-15 | 北京乐驾科技有限公司 | Navigation display method and system |
CN105890615A (en) * | 2016-04-11 | 2016-08-24 | 深圳市轱辘软件开发有限公司 | Navigation method and device |
-
2018
- 2018-05-09 CN CN201810434897.7A patent/CN108731699A/en active Pending
Patent Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2001056228A (en) * | 1999-08-18 | 2001-02-27 | Alpine Electronics Inc | Navigation system |
US20020184017A1 (en) * | 2001-05-04 | 2002-12-05 | Lee Chin-Hui | Method and apparatus for performing real-time endpoint detection in automatic speech recognition |
JP2003209867A (en) * | 2001-12-28 | 2003-07-25 | Motorola Inc | Data transmission method for mobile communication apparatus, data reception method for the mobile communication apparatus, the mobile communication apparatus and voice portal system |
US20090150156A1 (en) * | 2007-12-11 | 2009-06-11 | Kennewick Michael R | System and method for providing a natural language voice user interface in an integrated voice navigation services environment |
WO2009140884A1 (en) * | 2008-05-23 | 2009-11-26 | 深圳市北科瑞声科技有限公司 | A vehicle speech interactive system |
WO2013069060A1 (en) * | 2011-11-10 | 2013-05-16 | 三菱電機株式会社 | Navigation device and method |
CN102543082A (en) * | 2012-01-19 | 2012-07-04 | 北京赛德斯汽车信息技术有限公司 | Voice operation method for in-vehicle information service system adopting natural language and voice operation system |
CN103604438A (en) * | 2013-11-07 | 2014-02-26 | 深圳市美赛达科技股份有限公司 | Voice navigation input device, voice navigation input method and navigation system based on Bluetooth communication |
KR20160064657A (en) * | 2014-11-28 | 2016-06-08 | 현대모비스 주식회사 | Apparatus for providing navigation function using speech recognition and method thereof |
CN104535074A (en) * | 2014-12-05 | 2015-04-22 | 惠州Tcl移动通信有限公司 | Bluetooth earphone-based voice navigation method, system and terminal |
WO2016086565A1 (en) * | 2014-12-05 | 2016-06-09 | 捷开通讯(深圳)有限公司 | Bluetooth earphone-based voice navigation method, system and terminal |
CN105261357A (en) * | 2015-09-15 | 2016-01-20 | 百度在线网络技术(北京)有限公司 | Voice endpoint detection method and device based on statistics model |
CN105529028A (en) * | 2015-12-09 | 2016-04-27 | 百度在线网络技术(北京)有限公司 | Voice analytical method and apparatus |
CN105675008A (en) * | 2016-01-08 | 2016-06-15 | 北京乐驾科技有限公司 | Navigation display method and system |
CN105890615A (en) * | 2016-04-11 | 2016-08-24 | 深圳市轱辘软件开发有限公司 | Navigation method and device |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109767770A (en) * | 2019-02-26 | 2019-05-17 | 吴鑫 | A kind of navigation of vehicle-mounted voice and voice chatting system |
CN111669708A (en) * | 2019-03-07 | 2020-09-15 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, vehicle equipment and emergency navigation method based on vehicle networking emergency |
CN110103989A (en) * | 2019-05-17 | 2019-08-09 | 爱驰汽车有限公司 | Automatic Pilot active interactive onboard system, method, equipment and storage medium |
CN110411471A (en) * | 2019-07-29 | 2019-11-05 | 武汉仕代建筑配套工程有限公司 | A kind of intelligence direction giving system and its working method |
CN110926493A (en) * | 2019-12-10 | 2020-03-27 | 广州小鹏汽车科技有限公司 | Navigation method, navigation device, vehicle and computer readable storage medium |
CN111024106A (en) * | 2019-12-10 | 2020-04-17 | 上海博泰悦臻电子设备制造有限公司 | Vehicle, navigation device and integrated navigation planning method thereof |
CN112113574A (en) * | 2020-03-02 | 2020-12-22 | 北京百度网讯科技有限公司 | Method, apparatus, computing device and computer-readable storage medium for positioning |
US11725944B2 (en) | 2020-03-02 | 2023-08-15 | Apollo Intelligent Driving Technology (Beijing) Co, Ltd. | Method, apparatus, computing device and computer-readable storage medium for positioning |
CN118230737A (en) * | 2024-05-23 | 2024-06-21 | 深圳市创达电子有限公司 | Parking lot voice recognition intelligent feedback method and system |
CN118230737B (en) * | 2024-05-23 | 2024-07-19 | 深圳市创达电子有限公司 | Parking lot voice recognition intelligent feedback method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108731699A (en) | Intelligent terminal and its voice-based navigation routine planing method and vehicle again | |
CN110543814B (en) | Traffic light identification method and device | |
CN110798658A (en) | Remote vehicle moving control method, mobile terminal and vehicle | |
CN103685524A (en) | Intelligent vehicle-mounted terminal system | |
CN109115236A (en) | Vehicle, vehicle device equipment and its stroke automatic navigation method based on condition triggering | |
KR20180086718A (en) | Dialogue processing apparatus, vehicle having the same and dialogue processing method | |
CN108923808A (en) | Vehicle and its car-mounted terminal and speech interaction mode active triggering method | |
CN110970029A (en) | Vehicle, vehicle-mounted equipment and vehicle-mounted voice interaction method based on voice semantic recognition | |
CN109099917A (en) | Vehicle, vehicle device equipment, user communication terminal and its vehicle address air navigation aid | |
CN108833589B (en) | Vehicle, vehicle equipment and vehicle equipment navigation data synchronization method thereof | |
CN109115235A (en) | Vehicle, vehicle device equipment, user communication terminal and its more equipment switch air navigation aid | |
CN110576808B (en) | Vehicle, vehicle machine equipment and scene information pushing method based on artificial intelligence | |
CN109115234A (en) | Vehicle, vehicle device equipment and its air navigation aid based on Dijkstra's algorithm | |
CN111200720A (en) | Internet of vehicles platform, vehicle remote video monitoring method and system | |
CN110411461A (en) | A kind of auxiliary navigation method, vehicle device and vehicle | |
KR20190011458A (en) | Vehicle, mobile for communicate with the vehicle and method for controlling the vehicle | |
CN110954117B (en) | Vehicle and navigation journey service pushing method thereof and cloud server | |
CN110654331A (en) | Vehicle, vehicle equipment and vehicle-mounted assistant interaction method thereof | |
CN110793537A (en) | Navigation path recommendation method, vehicle machine and vehicle | |
CN106441315A (en) | Information providing method and information providing device | |
CN110503947A (en) | Conversational system, the vehicle including it and dialog process method | |
CN109131159A (en) | Vehicle, vehicle device equipment and its optimization air navigation aid based on new energy | |
CN110871810A (en) | Vehicle, vehicle equipment and driving information prompting method based on driving mode | |
CN111291275A (en) | Vehicle, vehicle equipment and live-based tour scheme recommendation method thereof | |
CN110307856A (en) | A kind of navigation routine recommended method and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181102 |
|
RJ01 | Rejection of invention patent application after publication |