CN110986972A - Information processing method and device for vehicle navigation - Google Patents
Information processing method and device for vehicle navigation Download PDFInfo
- Publication number
- CN110986972A CN110986972A CN201811155287.XA CN201811155287A CN110986972A CN 110986972 A CN110986972 A CN 110986972A CN 201811155287 A CN201811155287 A CN 201811155287A CN 110986972 A CN110986972 A CN 110986972A
- Authority
- CN
- China
- Prior art keywords
- navigation
- destination
- identification
- address
- identifier
- 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
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3605—Destination input or retrieval
- G01C21/3608—Destination input or retrieval using speech input, e.g. using speech recognition
Abstract
The invention provides an information processing method for vehicle navigation, which comprises the following steps: acquiring a collection address and a relevant collection address identifier, wherein the collection address identifier comprises an identifier field for representing the collection address; storing the collection address and the collection address identification in a navigation address book in a correlated manner; acquiring a navigation instruction; extracting a destination identification from the navigation instruction, the destination identification including an identification field characterizing a navigation destination; performing expansion on the destination identifier to obtain an expanded destination identifier, wherein at least one identification field of the expanded destination identifier is expanded into a corresponding synonym group; searching the navigation address book based on the extended destination identifier to determine the navigation destination; and planning a navigation route based on the navigation destination.
Description
Technical Field
The invention relates to the field of vehicle navigation, in particular to an information processing method and device for vehicle navigation.
Background
In the existing mobile phone navigation system, a personal common address can be manually added, such as: home, company, etc. due to the personal nature of the handset, the prefix of the common address may default to the individual's home or company, etc. However, the vehicle may have a family attribute or a company attribute, and has a certain commonality, that is, there is a case where a plurality of persons share one vehicle or a person's common address includes frequent places of other persons. Therefore, more common addresses may need to be stored due to the commonality of the in-vehicle navigation. Therefore, the vehicle-mounted navigation system can comprise a navigation address book similar to a mobile phone address book, and the difference is that the mobile phone address book stores the mobile phone number of the contact person, and the navigation address book stores the address of the contact person.
The contact names in the navigation address book may be stored as person names, nicknames or relatives with individuals, and the like, and the address names may be stored as school names or school attributes, and the like. For example, the contact name of "kindergarten of son" is stored as "young animal", and the address name is stored as "school". After the user inputs the name and the address name of the contact person in the navigation system, the navigation system searches the stored information record which is the same as the input name and the input address name of the contact person in the navigation address list and further obtains the specific address in the stored information record.
Since the user is free when storing the contact name or address name, and does not have a fixed format, and the storage habit also changes, when inputting the contact name and address name, the user often forgets or forgets the contact name or address name stored before himself. For example, although "young school" is stored, "son school" or "son kindergarten" is input when the address name is input. In this case, because the navigation address book does not store the "son school" or the "son kindergarten", the navigation system cannot identify the contact name or the address name input by the user, and therefore cannot match the contact name or the address name input by the user with the contact name or the address name in the stored information record, and the user needs to store the contact name, the address name and the specific address again, or directly input the specific address in the navigation destination for navigation, which is easy to cause inconvenience, causes discontentment of the user, and brings bad use experience to the user.
Furthermore, a voice recognition module may be integrated in the vehicle, the user may input the travel destination by voice, and the navigation system matches the voice command with the contact name and address name in the stored storage information after recognizing the voice command. However, the user can input the contact name and the address name more verbalized and more random when inputting the contact name and the address name by voice. If the traditional method is still used, namely the contact names and the address names are matched one by one, the specific address in the stored information is obtained as the navigation destination after the matching is successful, and the method only can store the contact names and the address names again or directly input the specific address when the matching is unsuccessful is very inconvenient. Therefore, a method for matching navigation commands with different expressions but the same actual meanings input by users with a certain stored information record stored in a navigation address book is needed.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
According to an aspect of the present invention, there is provided an information processing method for in-vehicle navigation, including:
acquiring a collection address and a relevant collection address identifier, wherein the collection address identifier comprises an identifier field for representing the collection address;
storing the collection address and the collection address identification in a navigation address book in a correlated manner;
acquiring a navigation instruction;
extracting a destination identification from the navigation instruction, the destination identification including an identification field characterizing a navigation destination;
performing expansion on the destination identifier to obtain an expanded destination identifier, wherein at least one identification field of the expanded destination identifier is expanded into a corresponding synonym group;
searching the navigation address book based on the extended destination identifier to determine the navigation destination; and planning a navigation route based on the navigation destination.
Still further, the identification field includes a contact name and an address name.
Still further, the obtaining the navigation instruction comprises:
receiving navigation voice input;
and performing voice semantic conversion on the voice navigation input to obtain the navigation instruction.
Still further, the extracting the destination identification comprises:
performing word segmentation on the navigation instruction to obtain at least one keyword;
extracting the identification field from the at least one keyword based on a navigation semantic template.
Still further, the performing an extension of the destination identification comprises:
and performing matching on each identification field of the destination identification with a synonym library one by one, wherein the synonym library comprises a plurality of synonym groups, and aiming at each identification field, if the identification field is searched in one synonym group in the synonym library, replacing the identification field with the synonym group.
Further, the searching the navigation address book based on the extended destination identifier comprises:
and matching all the identification fields and synonym groups of the extended destination identification with each collection address identification in the navigation address book, and determining the collection address associated with all the identification fields with the extended destination identification and the collection address identification of any synonym in each synonym group as the navigation destination.
According to another aspect of the present invention, there is provided an information processing apparatus for in-vehicle navigation, comprising:
the navigation module is used for acquiring a collection address and a related collection address identifier, wherein the collection address identifier comprises an identifier field for representing the collection address, and the collection address identifier are stored in a navigation address list in a related manner;
the voice module is used for acquiring a navigation instruction and extracting a destination identifier from the navigation instruction, wherein the destination identifier comprises an identifier field for representing a navigation destination;
an expansion module for performing an expansion of the destination identification to obtain an expanded destination identification, at least one identification field of the expanded destination identification being expanded into a corresponding synonym group,
the navigation module is further used for searching the navigation address book based on the extended destination identification to determine the navigation destination, and planning a navigation route based on the navigation destination.
Still further, the identification field includes a contact name and an address name.
Further, the voice module is further configured to receive a navigation voice input and perform a voice semantic conversion on the voice navigation input to obtain the navigation instruction.
Still further, the voice module is further configured to perform word segmentation on the navigation instruction to obtain at least one keyword, and extract the identification field from the at least one keyword based on a navigation semantic template.
Furthermore, the expansion module is further configured to perform matching on each identification field of the destination identifier one by one with a synonym library, where the synonym library includes multiple synonym groups, and for each identification field, if the identification field is retrieved from one of the synonym groups in the synonym library, the identification field is replaced with the synonym group.
Further, the navigation module is further configured to perform matching on all identification fields and synonym groups of the extended destination identification and each collection address identification in the navigation address book, and determine a collection address associated with all identification fields with the extended destination identification and a collection address identification of any synonym in each synonym group as the navigation destination.
Further, the expansion module is integrated with the navigation module.
Further, the expansion module is integrated with the voice module.
Furthermore, the information processing device is arranged at the vehicle end.
Drawings
The above features and advantages of the present disclosure will be better understood upon reading the detailed description of embodiments of the disclosure in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar relative characteristics or features may have the same or similar reference numerals.
FIG. 1 is a flow chart of one embodiment depicted in accordance with one aspect of the present invention;
FIG. 2 is a block diagram of one embodiment depicted in accordance with one aspect of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. It is noted that the aspects described below in connection with the figures and the specific embodiments are only exemplary and should not be construed as imposing any limitation on the scope of the present invention.
The invention provides an information processing method for vehicle navigation, aiming at solving the problem that a navigation instruction input by a user cannot be accurately matched with a stored information record of a navigation address book in a navigation system.
In one embodiment, the information processing method 100 includes the steps of:
s110: acquiring a collection address and a related collection address identifier;
s120: storing the collection address and the collection address identifier in a navigation address book in a correlated manner;
s130: acquiring a navigation instruction;
s140: extracting a destination identifier from the navigation instruction;
s150: performing expansion on the destination identifier to obtain an expanded destination identifier;
s160: searching a navigation address book based on the extended destination identifier to determine a navigation destination; and
s170: a navigation route is planned based on the navigation destination.
In step S110, the collection address is equivalent to a specific address, such as: left and right and left. The collection address identifier is equivalent to the name or code of the collection address, such as: a baby boy. Typically, the favorite address identifier includes a plurality of identification fields that characterize the favorite address, such as: the collection address identifier "cub baby crib" can be divided into two identification fields "cub baby" and "baby crib".
Generally, the identification field of the favorite address identification at least includes an address name, such as: "Home", "company", address names lacking a contact name may generally default to being subordinate to the user principal, i.e., only contacts in the favorite address identifier of the address name may default to "I".
Preferably, the identification field of the favorite address identifier includes a contact name and an address name, such as: "my home", "dad home", "son kindergarten", and so on. During storage, a plurality of identification fields of the collection address identification can be distinguished to a certain extent, for example, "my house" is stored as "my", "home", "dad home" is stored as "dad", "home", "cub kindergarten" is stored as "cub" or "kindergarten". The term "separate" used herein refers to a certain separation means for separating two identification fields, and does not refer to a double quotation mark for separating two identification fields. The separation means may be to separate the two identification fields by a distinction of physical storage locations, or to separate the two identification fields by a distinction of logical storage locations, etc.
In step S120, "storing in association" means that the collection addresses and the collection address identifiers are in a corresponding relationship, that is, the collection address identifiers corresponding to the collection addresses may be confirmed by the collection addresses, or the collection addresses corresponding to the collection addresses may be confirmed by the collection address identifiers.
Optionally, after the step S140 is executed, after the destination identifier is extracted, the destination identifier may be matched with the favorite address identifier in the navigation address list, and when there are completely the same destination identifier and favorite address identifier, it may be determined that the address corresponding to the navigation instruction is the favorite address corresponding to the favorite address identifier that is the same as the destination identifier. Because the process of matching is simpler searching and comparison, and is extremely simple and fast compared with the steps S150 and S160, matching is performed after the destination identifier is extracted, and the steps S150 and S160 are performed after the matching is unsuccessful, system resources can be saved under certain conditions, and the speed of determining the navigation destination is increased.
In step S130, the navigation instruction may be manually input by the user or input by the voice of the user. The manually entered navigation instructions may include a contact name and/or an address name. The navigation instruction of the voice input may be a sentence, such as: the method comprises the steps of removing cub and kindergarten, taking over a wife, and returning home. When a navigation instruction of the navigation voice input is received, semantic conversion is required to be carried out on voice data of the voice input, and the voice data is converted into a text form or the navigation instruction which can be read by a computer is used for carrying out the next processing.
It is understood that speech semantic conversion may employ the commonly used stt (speech to text) technique to convert speech to text.
In step S140, a destination identifier is extracted from the navigation instruction, where the destination identifier is equivalent to the name or code of the destination, such as: the navigation instruction "go" son kindergarten "in son kindergarten".
The destination identification comprises at least one identification field characterizing the navigation destination, such as: the navigation instruction "go home" may include only one identification field "home".
Preferably, the destination identification comprises a plurality of identification fields characterizing the navigation destination, such as two identification fields: a contact name and an address name. The navigation instruction "go son kindergarten" includes two identification fields: the contact name "baby son" and the address name "kindergarten".
Further, step S140 may be divided into the following steps:
s141: performing word segmentation on the navigation instruction to obtain at least one keyword;
s142: at least one identification field is extracted from the at least one keyword based on the navigation semantic template to form a destination identification.
The "performing word segmentation on the navigation instruction" in step S141 means that the navigation instruction is divided based on chinese semantics, parts of speech, and parts of speech to divide the navigation instruction into a plurality of words. For example, the "quick-release three companies" are divided into "quick", "remove", "tension three", "company"; the 'going to work by wife who is beautiful' is divided into 'going to work', beautiful 'wife' and 'going to work' and the like. The divided words may include nouns, verbs, fictional words, adverbs, adjectives, or adverbs, etc. The keyword is a word that is an essential component of a sentence among the plurality of words, and can be understood as a subject, a predicate, and an object in a general sentence. Such as "go", "zhang" and "company", "connect", "wife" and "work off". Wherein, the 'fast' is an adverb, and the 'beautiful' is an adjective, is not an essential component in a sentence, and therefore does not belong to a keyword.
It should be understood that "obtaining at least one keyword" does not mean that at least one keyword is obtained, but means that only one keyword may exist or a plurality of keywords may exist in the words obtained after the navigation instruction is segmented.
The navigation semantic template in step S142 includes a specific sentence pattern for expressing the destination, which is assumed in the navigation system for acquiring the identification field in the navigation instruction, such as: to [ contact name ] [ address name ]; to [ contact name ] [ address name ]; and (contact name), (action), etc., wherein (contact name), (address name), (action) are blank components, and specific words can be filled in to form specific semantic sentences, such as: the [ contact name ] may be filled by "Zhang three", "wife", "Address name ] may be filled by" Home "," company "," action "may be filled by" off duty ", etc.
The words that can fill in the blank component in a particular sentence pattern in the navigation semantic template are called identification fields, such as: "Zhang three", "wife", "home", "company", and the like. All identification fields extracted from all keywords constitute a destination identification.
In step S150, expanding the destination identifier refers to expanding each identifier field with a synonym group in the destination identifier obtained in step S140 into a corresponding synonym group. The synonym group comprises a plurality of words with the same or similar meanings, when a certain identification field can be searched in the synonym group, the identification field has the synonym group, and any synonym in the synonym group can replace the identification field. The synonym group can be replaced in its entirety to the identification field.
Further, step S150 may specifically include the following steps:
s151: each identification field of the destination identification is individually matched against the thesaurus.
The synonym library comprises a plurality of synonym groups, such as: "son", "daughter", "wife", "company", "home", "school", etc. Each synonym group includes a set of synonyms, such as: the synonym "son" may include synonyms such as "young", "baby", "son", and so on; the synonymous phrase "school" may include synonyms such as "kindergarten", "primary school", "college", "school", and the like.
It is understood that synonyms in this disclosure are not necessarily strictly grammatical, but may refer to the same class of words, or the location to which the action is to be performed is the same class as the group of words, e.g., "go to work" may be categorized as the synonym "company" and "go home" may be categorized as the synonym "home".
The process of searching in the thesaurus based on each identification field is matching.
S152: for each identification field, if the identification field is retrieved from a synonym group in the synonym library, replacing the identification field with the synonym group. Such as: when the destination is identified as "child cub kindergarten", the identification field "cub" is first matched with the synonym phrase in the synonym library, and the "cub" can be searched in the synonym phrase "son", and then the identification field "cub" is replaced with the synonym phrase "son"; and matching the identification field 'kindergarten' with the synonym phrase in the synonym library, wherein the 'kindergarten' can be searched in the synonym phrase 'school', and the identification field 'kindergarten' is replaced by the synonym phrase 'school'. When all identification fields in the destination identification are matched and/or replaced, the formed sentence is the expanded destination identification.
It is understood that in step S152, if there may be an identification field that cannot be retrieved from any synonym group in the synonym library, the identification field in the destination identifier cannot be replaced with the corresponding synonym group, such as: the identification field "three homes" in the destination identifier "three homes" cannot be searched in any synonym group, so that the identification field "three homes" in the destination identifier "three homes" cannot be replaced by the corresponding synonym group, and the destination identifier "three homes" is converted to obtain the expanded destination identifier "three homes".
Further, the user can perform personalized addition in the synonym library of the system, such as: "Zhang three" is the name of the user's child, then the synonym "Zhang three" can be added in the synonym phrase "son" of the user's local synonym library. Then in step S152, when the destination identifier includes the identifier field "zhang san", the synonym phrase "son" may be searched for "zhang san", and the identifier field "zhang san" may be replaced with the synonym phrase "son". Thereby enriching the number of synonyms in the synonym group.
Further, in step S160, the expansion destination identifier obtained in step S150 is matched with the favorite address tag associated with each favorite address in the navigation address book. Aiming at each synonym group in the extended destination identifier, as long as a certain identifier field exists in the collection address label associated with the collection address and can be searched in the synonym group, the synonym group of the extended destination identifier is successfully matched with the collection address label; and matching the identification field with a collection address label associated with the collection address aiming at each identification field in the extended destination identification, wherein when the identification field identical to the identification field of the extended destination identification exists in the collection address label, the identification field of the extended destination is successfully matched with the collection address label. And if and only if all synonym groups and all identification fields in the expanded destination identification are successfully matched with the collection address label associated with a certain collection address, determining the navigation destination based on the expanded destination identification as the collection address.
As can be seen from the execution of step S160, the purpose of acquiring the extended destination identifier in step S150 is actually to facilitate matching the destination identifier with the collection address identifier corresponding to the collection address. Because the identification field in the destination identification is different from the identification field in the collection address identification, when the identification field in the destination identification is replaced by a synonym group based on a synonym library, the synonym group in the expanded destination identification is more easily matched with the identification field in the collection address identification, and the problem that the identification field in the destination identification is not matched with the identification field in the collection address identification is solved.
In step S170, the favorite address determined in step S160 is acquired as a navigation destination, and a navigation route is planned based on the navigation destination.
It is understood that the specific examples set forth in this method are intended to be illustrative only and are not intended to be limiting as the scope of the invention will be determined by those skilled in the art based upon the teachings of the method described herein.
According to an aspect of the present invention, there is provided an information processing apparatus 200 for in-vehicle navigation, the information processing apparatus 200 including: a navigation module 201, a voice module 202, and an expansion module 203.
Preferably, the information processing apparatus 200 is installed at a vehicle end.
The navigation module 201 is configured to obtain a collection address and an associated collection address identifier, and store the collection address and the collection address identifier in the navigation address book in an associated manner. Wherein the favorite address identifier comprises an identifier field characterizing the favorite address.
It is understood that the favorite address corresponds to a specific address, such as: left and right and left. The collection address identifier is equivalent to the name or code of the collection address, such as: a baby boy. Typically, the favorite address identifier includes a plurality of identification fields that characterize the favorite address, such as: the collection address identifier "cub baby crib" can be divided into two identification fields "cub baby" and "baby crib".
Generally, the identification field of the favorite address identification at least includes an address name, such as: "Home", "company", address names lacking a contact name may generally default to being subordinate to the user principal, i.e., only contacts in the favorite address identifier of the address name may default to "I".
Preferably, the identification field of the favorite address identifier includes a contact name and an address name, such as: "my home", "dad home", "son kindergarten", and so on. During storage, a plurality of identification fields of the collection address identification can be distinguished to a certain extent, for example, "my house" is stored as "my", "home", "dad home" is stored as "dad", "home", "cub kindergarten" is stored as "cub" or "kindergarten". The term "separate" used herein refers to a certain separation means for separating two identification fields, and does not refer to a double quotation mark for separating two identification fields. The separation means may be to separate the two identification fields by a distinction of physical storage locations, or to separate the two identification fields by a distinction of logical storage locations, etc.
The term "associated storage" means that the collection addresses and the collection address identifiers are in a relationship of correspondence, that is, the collection addresses can confirm the corresponding collection address identifiers, or the collection addresses can confirm the corresponding collection addresses.
The voice module 202 is configured to obtain a navigation instruction and extract a destination identifier from the navigation instruction. Wherein the destination identification comprises an identification field characterizing the navigation destination.
Further specifically, the navigation instruction may be manually input by the user or input by the user's voice. The manually entered navigation instructions may include a contact name and/or an address name. The navigation instruction of the voice input may be a sentence, such as: the method comprises the steps of removing cub and kindergarten, taking over a wife, and returning home. When receiving a navigation command of the navigation voice input, the voice module 202 needs to perform semantic conversion on the voice data of the voice input, and convert the voice data into a text form or a navigation command that can be read by a computer for further processing.
It is understood that speech semantic conversion may employ the commonly used stt (speech to text) technique to convert speech to text.
The destination identifier corresponds to the name or code of the destination, such as: the navigation instruction "go" son kindergarten "in son kindergarten". The destination identification comprises at least one identification field characterizing the navigation destination, such as: the navigation instruction "go home" may include only one identification field "home".
Preferably, the destination identification comprises a plurality of identification fields characterizing the navigation destination, such as two identification fields: a contact name and an address name. The navigation instruction "go son kindergarten" includes two identification fields: the contact name "baby son" and the address name "kindergarten".
Further, the speech module 202 performs word segmentation on the navigation instruction to obtain at least one keyword, and extracts an identification field from the at least one keyword based on the navigation semantic template.
"performing word segmentation on the navigation instruction" refers to dividing the navigation instruction into a plurality of words based on Chinese semantics, parts of speech and parts of speech. For example, the "quick-release three companies" are divided into "quick", "remove", "tension three", "company"; the 'going to work by wife who is beautiful' is divided into 'going to work', beautiful 'wife' and 'going to work' and the like. The divided words may include nouns, verbs, fictional words, adverbs, adjectives, or adverbs, etc. The keyword is a word that is an essential component of a sentence among the plurality of words, and can be understood as a subject, a predicate, and an object in a general sentence. Such as "go", "zhang" and "company", "connect", "wife" and "work off". Wherein, the 'fast' is an adverb, and the 'beautiful' is an adjective, is not an essential component in a sentence, and therefore does not belong to a keyword.
It should be understood that "obtaining at least one keyword" does not mean that at least one keyword is obtained, but means that only one keyword may exist or a plurality of keywords may exist in the words obtained after the navigation instruction is segmented.
The navigation semantic template includes a specific schema used to express the destination, which is contemplated in the navigation system for obtaining the identification field in the navigation instruction. Such as: to [ contact name ] [ address name ]; to [ contact name ] [ address name ]; followed by a contact name action, etc. Wherein [ contact name ], [ address name ], [ action ] are blank components, and specific words can be filled in to form specific semantic sentences, such as: the [ contact name ] may be filled by "Zhang three", "wife", "Address name ] may be filled by" Home "," company "," action "may be filled by" off duty ", etc.
The words that can fill in the blank component in a particular sentence pattern in the navigation semantic template are called identification fields, such as: "Zhang three", "wife", "home", "company", and the like. All identification fields extracted from all keywords constitute the destination identification.
It is understood that the functions of "segmenting words to obtain keywords" and "extracting identification fields from keywords" performed by the voice module 202 can be performed by the navigation module 201 when the user manually inputs a navigation instruction in the navigation module 201.
In one embodiment, the speech module 202 may perform only the functions of "receiving a navigation speech input", "performing a speech semantic conversion on the navigation speech input to obtain a navigation instruction", and "performing a word segmentation on the navigation instruction to obtain at least one keyword", "and extracting the identification field from the at least one keyword based on a navigation semantic template", by the navigation module 201.
The expansion module 203 is configured to perform expansion on the destination identifier, and expand each identifier field with a synonym group in the destination identifier obtained by the voice module 202 into a corresponding synonym group, so as to obtain an expanded destination identifier.
The synonym group comprises a plurality of words with the same or similar meanings, when a certain identification field can be searched in the synonym group, the identification field has the synonym group, and any synonym in the synonym group can replace the identification field. The synonym group can be replaced in its entirety to the identification field.
Further, the expansion module 203 performs matching of each identification field of the destination identification with the thesaurus one by one.
The synonym library comprises a plurality of synonym groups, such as: "son", "daughter", "wife", "company", "home", "school", etc. Each synonym group includes a set of synonyms, such as: the synonym "son" may include synonyms such as "young", "baby", "son", and so on; the synonymous phrase "school" may include synonyms such as "kindergarten", "primary school", "college", "school", and the like.
It is understood that synonyms in this disclosure are not necessarily strictly grammatical, but may refer to the same class of words, or the location to which the action is to be performed is the same class as the group of words, e.g., "go to work" may be categorized as the synonym "company" and "go home" may be categorized as the synonym "home".
For each identification field of the destination identifier, if the identification field is retrieved from a synonym group in the synonym library, the expansion module 203 replaces the identification field with the synonym group to form an expanded destination identifier. Such as: when the destination is identified as "child cub kindergarten", the identification field "cub" is first matched with the synonym phrase in the synonym library, and the "cub" can be searched in the synonym phrase "son", and then the identification field "cub" is replaced with the synonym phrase "son"; and matching the identification field 'kindergarten' with the synonym phrase in the synonym library, wherein the 'kindergarten' can be searched in the synonym phrase 'school', and the identification field 'kindergarten' is replaced by the synonym phrase 'school'. When all identification fields in the destination identification are matched and/or replaced, the formed sentence is the expanded destination identification.
It will be appreciated that there may be a possibility that the identification field cannot be retrieved in any synonym group in the synonym library, and that the identification field in the destination identification cannot be replaced with the corresponding synonym group, such as: the identification field "three homes" in the destination identifier "three homes" cannot be searched in any synonym group, so that the identification field "three homes" in the destination identifier "three homes" cannot be replaced by the corresponding synonym group, and the destination identifier "three homes" is converted to obtain the expanded destination identifier "three homes".
Further, the user can perform personalized addition in the synonym library of the system, such as: "Zhang three" is the name of the user's child, then the synonym "son" can be added in the synonym "son" of the user's local synonym library. Then in step S152, when the destination identifier includes the identifier field "zhang san", the synonym phrase "son" may be searched for "zhang san", and the identifier field "zhang san" may be replaced with the synonym phrase "son". Thereby expanding the scope of synonymous phrases.
Further, the navigation module 201 also searches a navigation address book based on the extended destination identifier obtained by the extension module 203 to confirm the navigation destination, and plans a navigation route based on the navigation destination.
Further, specifically, the navigation module 201 matches the extended destination identifier obtained by the extended module 203 with a collection address tag associated with each collection address in the navigation address book, and determines, as the navigation destination, all identification fields with the extended destination identifier and a collection address associated with a collection address identifier of any synonym in each synonym group.
Aiming at each synonym group in the extended destination identifier, as long as a certain identifier field exists in the collection address label associated with the collection address and can be searched in the synonym group, the synonym group of the extended destination identifier is successfully matched with the collection address label; and matching the identification field with a collection address label associated with the collection address aiming at each identification field in the extended destination identification, wherein when the identification field identical to the identification field of the extended destination identification exists in the collection address label, the identification field of the extended destination is successfully matched with the collection address label. And if and only if all synonym groups and all identification fields in the expanded destination identification are successfully matched with the collection address label associated with a certain collection address, determining the navigation destination based on the expanded destination identification as the collection address.
As can be seen from the above description, the purpose of the expansion module 203 to obtain the expansion destination identifier is actually to facilitate matching the destination identifier with the collection address identifier corresponding to the collection address. Because the identification field in the destination identification is different from the identification field in the collection address identification, when the identification field in the destination identification is replaced by a synonym group based on a synonym library, the synonym group in the expanded destination identification is more easily matched with the identification field in the collection address identification, and the problem that the identification field in the destination identification is not matched with the identification field in the collection address identification is solved.
In an embodiment of the present disclosure, the expansion module 203 is integrated with the navigation module 201. That is, the functions performed by the expansion module 203 may be performed by the navigation module 201.
In another embodiment of the present disclosure, the expansion module 203 is integrated with the voice module 202. That is, the functions performed by the expansion module 203 may be performed by the speech module 202.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood by one skilled in the art.
Those of skill in the art would understand that information, signals, and data may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits (bits), symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The various illustrative logical modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disc), as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disks) usually reproduce data magnetically, while discs (discs) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (15)
1. An information processing method for in-vehicle navigation, comprising:
acquiring a collection address and a relevant collection address identifier, wherein the collection address identifier comprises an identifier field for representing the collection address;
storing the collection address and the collection address identification in a navigation address book in a correlated manner;
acquiring a navigation instruction;
extracting a destination identification from the navigation instruction, the destination identification including an identification field characterizing a navigation destination;
performing expansion on the destination identifier to obtain an expanded destination identifier, wherein at least one identification field of the expanded destination identifier is expanded into a corresponding synonym group;
searching the navigation address book based on the extended destination identifier to determine the navigation destination; and
planning a navigation route based on the navigation destination.
2. The information processing method according to claim 1, wherein the identification field includes a contact name and an address name.
3. The information processing method according to claim 1, wherein the acquiring of the navigation instruction includes:
receiving navigation voice input; and
and performing voice semantic conversion on the voice navigation input to obtain the navigation instruction.
4. The information processing method according to claim 1, wherein the extracting the destination identification includes:
performing word segmentation on the navigation instruction to obtain at least one keyword; and
extracting the identification field from the at least one keyword based on a navigation semantic template.
5. The information processing method according to claim 1, wherein said performing an extension on the destination identification includes:
and performing matching on each identification field of the destination identification with a synonym library one by one, wherein the synonym library comprises a plurality of synonym groups, and aiming at each identification field, if the identification field is searched in one synonym group in the synonym library, replacing the identification field with the synonym group.
6. The information processing method of claim 1, wherein the searching for the navigation address book based on the extended destination identifier comprises:
and matching all the identification fields and synonym groups of the extended destination identification with each collection address identification in the navigation address book, and determining the collection address associated with all the identification fields with the extended destination identification and the collection address identification of any synonym in each synonym group as the navigation destination.
7. An information processing apparatus for in-vehicle navigation, comprising:
the navigation module is used for acquiring a collection address and a related collection address identifier, wherein the collection address identifier comprises an identifier field for representing the collection address, and the collection address identifier are stored in a navigation address list in a related manner;
the voice module is used for acquiring a navigation instruction and extracting a destination identifier from the navigation instruction, wherein the destination identifier comprises an identifier field for representing a navigation destination; and
an expansion module for performing an expansion of the destination identification to obtain an expanded destination identification, at least one identification field of the expanded destination identification being expanded into a corresponding synonym group,
the navigation module is further used for searching the navigation address book based on the extended destination identification to determine the navigation destination, and planning a navigation route based on the navigation destination.
8. The information processing apparatus according to claim 7, wherein the identification field includes a contact name and an address name.
9. The information processing apparatus of claim 7, wherein the voice module is further to receive a navigation voice input and perform a voice semantic conversion on the voice navigation input to obtain the navigation instruction.
10. The information processing apparatus of claim 7, wherein the speech module is further to perform word segmentation on the navigation instruction to obtain at least one keyword, and to extract the identification field from the at least one keyword based on a navigation semantic template.
11. The information processing apparatus of claim 7, wherein the expansion module is further configured to perform matching of each identification field of the destination identifier with a synonym library one by one, the synonym library comprising a plurality of synonym groups, and for each identification field, if the identification field is retrieved from one of the synonym groups in the synonym library, replace the identification field with the synonym group.
12. The information processing apparatus according to claim 7, wherein the navigation module is further configured to perform matching of all identification fields and synonym groups of the extended destination identifier with each favorite address identifier in the navigation address book, and determine a favorite address associated with all identification fields having the extended destination identifier and a favorite address identifier of any synonym in each synonym group as the navigation destination.
13. The information processing apparatus of claim 7, wherein the expansion module is integrated with the navigation module.
14. The information processing apparatus of claim 7, wherein the expansion module is integrated with the voice module.
15. The information processing apparatus according to claim 7, wherein the information processing apparatus is provided at a vehicle-mounted terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811155287.XA CN110986972A (en) | 2018-09-30 | 2018-09-30 | Information processing method and device for vehicle navigation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811155287.XA CN110986972A (en) | 2018-09-30 | 2018-09-30 | Information processing method and device for vehicle navigation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110986972A true CN110986972A (en) | 2020-04-10 |
Family
ID=70059778
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811155287.XA Pending CN110986972A (en) | 2018-09-30 | 2018-09-30 | Information processing method and device for vehicle navigation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110986972A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113779427A (en) * | 2021-08-11 | 2021-12-10 | 荣耀终端有限公司 | Schedule address recognition method, schedule address recognition apparatus, storage medium, and software program product |
| CN114913854A (en) * | 2022-07-11 | 2022-08-16 | 广州小鹏汽车科技有限公司 | Voice interaction method, server and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101158584A (en) * | 2007-11-15 | 2008-04-09 | 熊猫电子集团有限公司 | Voice destination navigation realizing method of vehicle mounted GPS |
| CN101252727A (en) * | 2008-03-25 | 2008-08-27 | 深圳市戴文科技有限公司 | Mobile terminal, apparatus and method for cooperating address book with navigation address books |
| US20090177383A1 (en) * | 2008-01-07 | 2009-07-09 | Simone Francine Tertoolen | Navigation device and method |
| CN101650187A (en) * | 2008-08-11 | 2010-02-17 | 英华达(上海)电子有限公司 | Communication navigation system, as well as method and device for setting navigation destinations |
| CN103376115A (en) * | 2012-04-13 | 2013-10-30 | 上海博泰悦臻电子设备制造有限公司 | Vehicle-mounted navigation device and navigation method thereof |
| CN103391373A (en) * | 2013-08-06 | 2013-11-13 | 刘义柏 | Method for on-line setting of vehicle-mounted navigation destination by utilizing mobile phone |
| US20140309864A1 (en) * | 2013-04-15 | 2014-10-16 | Flextronics Ap, Llc | Configurable Dash Display Based on Detected Location and Preferences |
| CN105021206A (en) * | 2014-04-24 | 2015-11-04 | 福特全球技术公司 | Method and apparatus for contact address population and verbal address selection |
-
2018
- 2018-09-30 CN CN201811155287.XA patent/CN110986972A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101158584A (en) * | 2007-11-15 | 2008-04-09 | 熊猫电子集团有限公司 | Voice destination navigation realizing method of vehicle mounted GPS |
| US20090177383A1 (en) * | 2008-01-07 | 2009-07-09 | Simone Francine Tertoolen | Navigation device and method |
| CN101252727A (en) * | 2008-03-25 | 2008-08-27 | 深圳市戴文科技有限公司 | Mobile terminal, apparatus and method for cooperating address book with navigation address books |
| CN101650187A (en) * | 2008-08-11 | 2010-02-17 | 英华达(上海)电子有限公司 | Communication navigation system, as well as method and device for setting navigation destinations |
| CN103376115A (en) * | 2012-04-13 | 2013-10-30 | 上海博泰悦臻电子设备制造有限公司 | Vehicle-mounted navigation device and navigation method thereof |
| US20140309864A1 (en) * | 2013-04-15 | 2014-10-16 | Flextronics Ap, Llc | Configurable Dash Display Based on Detected Location and Preferences |
| CN103391373A (en) * | 2013-08-06 | 2013-11-13 | 刘义柏 | Method for on-line setting of vehicle-mounted navigation destination by utilizing mobile phone |
| CN105021206A (en) * | 2014-04-24 | 2015-11-04 | 福特全球技术公司 | Method and apparatus for contact address population and verbal address selection |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113779427A (en) * | 2021-08-11 | 2021-12-10 | 荣耀终端有限公司 | Schedule address recognition method, schedule address recognition apparatus, storage medium, and software program product |
| CN114913854A (en) * | 2022-07-11 | 2022-08-16 | 广州小鹏汽车科技有限公司 | Voice interaction method, server and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106570180B (en) | Voice search method and device based on artificial intelligence | |
| TWI512507B (en) | A method and apparatus for providing multi-granularity word segmentation results | |
| CN106776564B (en) | Semantic recognition method and system based on knowledge graph | |
| JP4580885B2 (en) | Scene information extraction method, scene extraction method, and extraction apparatus | |
| CN103678684A (en) | Chinese word segmentation method based on navigation information retrieval | |
| CN104462085A (en) | Method and device for correcting search keywords | |
| WO2015080561A1 (en) | A method and system for automated relation discovery from texts | |
| US20160188569A1 (en) | Generating a Table of Contents for Unformatted Text | |
| CN104573099A (en) | Topic searching method and device | |
| CN108304424B (en) | Text keyword extraction method and text keyword extraction device | |
| CN111104803B (en) | Semantic understanding processing method, device, equipment and readable storage medium | |
| CN111178079A (en) | Triple extraction method and device | |
| CN108875743B (en) | Text recognition method and device | |
| CN110986972A (en) | Information processing method and device for vehicle navigation | |
| CN111259645A (en) | Referee document structuring method and device | |
| CN110967030A (en) | Information processing method and device for vehicle navigation | |
| CN111611793B (en) | Data processing method, device, equipment and storage medium | |
| CN111046168A (en) | Method, apparatus, electronic device, and medium for generating patent summary information | |
| CN104123293B (en) | alias query system and method thereof | |
| CN112989011B (en) | Data query method, data query device and electronic equipment | |
| CN111046627A (en) | Chinese character display method and system | |
| CN111968636B (en) | Method for processing voice request text and computer storage medium | |
| CN114595696A (en) | Entity disambiguation method, entity disambiguation apparatus, storage medium, and electronic device | |
| CN107220249B (en) | Classification-based full-text search | |
| Asadi et al. | Pattern-based extraction of addresses from web page content |
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 |