CN110807358A - Big data positioning and checking system based on peripheral information - Google Patents
Big data positioning and checking system based on peripheral information Download PDFInfo
- Publication number
- CN110807358A CN110807358A CN201910873674.5A CN201910873674A CN110807358A CN 110807358 A CN110807358 A CN 110807358A CN 201910873674 A CN201910873674 A CN 201910873674A CN 110807358 A CN110807358 A CN 110807358A
- Authority
- CN
- China
- Prior art keywords
- module
- information
- positioning
- cloud server
- mobile terminal
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Biomedical Technology (AREA)
- Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Evolutionary Computation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Remote Sensing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Navigation (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to the field of internet, in particular to a big data positioning and checking system based on peripheral information; by collecting image information around a mobile terminal user, useful text information and azimuth information are automatically extracted and identified and input into a cloud service, and corresponding position range information is matched in map data through a cloud server to assist in correcting positioning deviation. The ultra-large storage capacity and the ultra-strong computing capacity of the existing camera device and the positioning module of the mobile terminal and the cloud server terminal are fully utilized; the accuracy of user positioning is greatly improved, and the navigation efficiency is guaranteed. The invention also provides a network appointment big data positioning and checking system based on the peripheral information of the user, wherein the system comprises a vehicle-mounted end, a mobile end and a cloud server; automatically checking the peripheral information of the user through a cloud server, and simultaneously sending the checking result to navigation positioning modules of a vehicle-mounted end and a mobile end; correcting the positioning deviation; the service efficiency of travel and network car booking is guaranteed.
Description
Technical Field
The invention relates to the field of internet, in particular to a big data positioning and checking system based on peripheral information.
Background
Along with the popularization of automobiles, people can go out more and more conveniently, the common application of the current navigation technology brings great convenience to people unfamiliar with the route, and an accurate navigation positioning technology is provided; but the achievement of such an effect depends on the accuracy of the navigation positioning; the positioning accuracy can meet the requirements of people most of the time at present; however, people often suffer from the problem that the positioning module of the vehicle-mounted or mobile client has a large deviation when positioning, so that the planning of the route has a great problem and the time of a trip is delayed. Particularly, the network appointment vehicle is popularized and applied, and the positioning and navigation are more extensive; more times, the initial position is determined by the passenger positioning of the equipment of the handheld mobile terminal, when the passenger at the mobile terminal is not positioned accurately, the vehicle receiving is often finished by delaying more time, and the current solution to the situation is that the passenger performs manual correction according to the current navigation positioning; manual correction is also easier to achieve for people familiar with the surrounding environment; however, when the locator is completely unfamiliar with the surrounding environment, the purpose of positioning correction is difficult to achieve through manual correction; at the moment, the only current solution is to communicate with the driver through the telephone of the passenger, the telephone communication efficiency is low, and the driver is also dependent on the familiarity of the driver to the environment; the rate of order taking failures caused by positioning errors is high. On the other hand, the current mobile intelligent equipment is generally provided with a camera device, and the operation of collecting the weekly report environment information is convenient and fast; in addition, the map data is quite rich and fine at present, but the utilization of the positioning peripheral information is not sufficient.
Disclosure of Invention
In order to solve the above problems, the present invention provides a big data positioning and checking system based on peripheral information; the method comprises the steps that character label information in the surrounding environment of a user is collected through a mobile terminal camera, collected picture information is transmitted to a cloud server, character information extraction, map surrounding environment information matching and the like are completed through the cloud server, the positioning position in a navigation positioning module is corrected in an auxiliary mode through the surrounding environment information, and an auxiliary positioning result is returned to a user terminal. The effect of double verification of automatic positioning and environment matching is achieved. The process is automatically completed by the system, the identification speed is high, and the verification reliability is high.
In order to achieve the above purpose, the invention provides the following technical scheme: the big data positioning and checking system based on the peripheral information comprises a mobile terminal and a cloud server; the mobile terminal comprises an image acquisition module and a navigation positioning module; the cloud server comprises an image identification module, a cloud storage module and a data comparison module; the mobile terminal is in communication connection with the cloud server; the navigation positioning module is connected with the image acquisition module; when the positioning check is carried out, the image acquisition module is opened through the navigation positioning module, and the surrounding image acquisition is carried out; transmitting the collected environmental text information and the current positioning position information to a cloud server for processing, and identifying peripheral text information in the environmental text information and the current positioning position information by an image identification system in the cloud server; the peripheral character information is compared with the map information stored in the cloud storage module through the data comparison module; and the cloud server compares the text information with the map data information stored by the text information to confirm or correct the current positioning position and returns the confirmed or corrected result to the navigation positioning module of the mobile terminal.
Furthermore, the positioning verification system also comprises a control module, and the control module is connected with the navigation positioning module; when the user considers that the surrounding environment is unfamiliar and can not determine the positioning accuracy, the positioning verification function is started through the control module.
Preferably, the control module is a voice control module, and the user wakes up the control module through voice to start the auxiliary positioning.
Further, the data comparison module in the cloud server preferentially compares the user surrounding identification text information identified by the image identification module with surrounding information of the current positioning position of the navigation positioning module, determines that the current positioning is accurate if the current positioning is matched with the surrounding information of the current positioning, and returns a determination result to the navigation positioning module; if the current positioning peripheral information is not matched with the image acquisition information, the surrounding matched place information is searched out according to the image acquisition information, and the place information is used as the correction positioning to be transmitted to the navigation positioning module.
Further, the image recognition module uses a neural network technology to recognize and segment and recognize the character information in the image. Image recognition techniques or modules are now common; the accuracy is also higher, and merchant's sign and signpost in general surrounding environment adopt the typeface of comparison rule, and it is easier to discern, and neural network machine learning's mode is more common character recognition technology, and the technique is also more mature.
Furthermore, the invention also provides a network appointment big data positioning and checking system based on the peripheral information of the user, wherein the system comprises a mobile terminal, a vehicle-mounted terminal and a cloud server; the mobile terminal comprises an image acquisition module and a first navigation positioning module; the vehicle-mounted end comprises a second navigation positioning module; the cloud server comprises an image identification module, a cloud storage module and a data comparison module; the vehicle-mounted end and the mobile end are in communication connection with the cloud server; the first navigation positioning module is connected with the image acquisition module; when the positioning check is carried out, the image acquisition module is opened through the navigation positioning module, and the surrounding image acquisition is carried out; transmitting the collected environmental text information and the current positioning position information to a cloud server for processing, and identifying peripheral text information in the environmental text information and the current positioning position information by an image identification system in the cloud server; the peripheral character information is compared with the map information stored in the cloud storage module through the data comparison module; and the cloud server compares the text information with the map data information stored by the text information to confirm or correct the current positioning position and returns the confirmed or corrected result to the first navigation positioning system of the mobile terminal and the second navigation positioning module of the vehicle-mounted terminal.
Compared with the prior art, the invention has the beneficial effects that: a big data positioning and checking system based on peripheral information; by collecting image information around a mobile terminal user, useful text information and azimuth information are automatically extracted and identified and input into a cloud service, and corresponding position range information is matched in map data through a cloud server to assist in correcting positioning deviation. The effect of double verification of automatic positioning and environment matching is achieved. The system has simple structure model and extremely high verification and automatic identification efficiency. The ultra-large storage capacity and the ultra-strong computing capacity of the existing camera device and the positioning module of the mobile terminal and the cloud server terminal are fully utilized; the accuracy of user positioning is greatly improved, and the navigation efficiency is guaranteed.
The invention also provides a network appointment big data positioning and checking system based on the peripheral information of the user, wherein the system comprises a vehicle-mounted end, a mobile end and a cloud server; automatically checking the peripheral information of the user through a cloud server, and simultaneously sending the checking result to navigation positioning modules of a vehicle-mounted end and a mobile end; correcting the positioning deviation; the service efficiency of travel and network car booking is guaranteed.
Description of the drawings:
FIG. 1 is a schematic diagram of a connection of a big data positioning and checking system based on peripheral information.
Fig. 2 is a schematic system connection diagram of a network appointment big data positioning and checking system based on user peripheral information.
FIG. 3 is a schematic view of positioning verification.
Detailed Description
The present invention will be described in further detail with reference to test examples and specific embodiments. It should be understood that the scope of the above-described subject matter is not limited to the following examples, and any techniques implemented based on the disclosure of the present invention are within the scope of the present invention.
The invention provides a big data positioning and checking system based on peripheral information; the method comprises the steps that character label information in the surrounding environment of a user is collected through a mobile terminal camera, collected picture information is transmitted to a cloud server, character information extraction, map surrounding environment information matching and the like are completed through the cloud server, the positioning position in a navigation positioning module is corrected in an auxiliary mode through the surrounding environment information, and an auxiliary positioning result is returned to a user terminal. The effect of double verification of automatic positioning and environment matching is achieved. The process is automatically completed by the system, the identification speed is high, and the verification reliability is high.
In order to achieve the above purpose, the invention provides the following technical scheme: the big data positioning and checking system based on the peripheral information comprises a mobile terminal and a cloud server shown in figure 1; the mobile terminal comprises an image acquisition module and a navigation positioning module; the cloud server comprises an image identification module, a cloud storage module and a data comparison module; the mobile terminal is in communication connection with the cloud server; the navigation positioning module is connected with the image acquisition module; when the positioning check is carried out, the image acquisition module is opened through the navigation positioning module, and the surrounding image acquisition is carried out; transmitting the collected environmental text information and the current positioning position information to a cloud server for processing, and identifying peripheral text information in the environmental text information and the current positioning position information by an image identification system in the cloud server; the peripheral character information is compared with the map information stored in the cloud storage module through the data comparison module; and the cloud server compares the text information with the map data information stored by the text information to confirm or correct the current positioning position and returns the confirmed or corrected result to the navigation positioning module of the mobile terminal.
Furthermore, the auxiliary positioning module also comprises a control module, and the control module is connected with the navigation system; when the user considers that the surrounding environment is unfamiliar and can not determine the positioning accuracy, the auxiliary positioning function is started through the control module. Through the control module, a user can select whether to start auxiliary positioning, and positioning verification is started only when the positioning is inaccurate and the user does not know whether the positioning is accurate, so that system resources are saved, and energy consumption is reduced; service efficiency is improved.
Preferably, the control module is a voice control module, and the user wakes up the control module through voice to start the auxiliary positioning. The voice control is convenient and quick to use. And at present, the voice recognition technology is mature, the cost is low, and the efficiency is extremely high.
Further, the data comparison module in the cloud server preferentially compares the user surrounding identification text information identified by the image identification module with surrounding information of the current positioning position of the navigation positioning module, determines that the current positioning is accurate if the current positioning is matched with the surrounding information of the current positioning, and returns a determination result to the navigation positioning module; if the current positioning peripheral information is not matched with the image acquisition information, the surrounding matched place information is searched out according to the image acquisition information, and the place information is used as the correction positioning to be transmitted to the navigation positioning module.
Further, the image recognition module uses a neural network technology to recognize and segment and recognize the character information in the image. Image recognition techniques or modules are now common; the accuracy is also higher, and merchant's sign and signpost in general surrounding environment adopt the typeface of comparison rule, and it is easier to discern, and neural network machine learning's mode is more common character recognition technology, and the technique is also more mature.
Furthermore, the invention also provides a network appointment big data positioning and checking system based on the peripheral information of the user, wherein the system comprises a mobile terminal, a vehicle-mounted terminal and a cloud server; the mobile terminal comprises an image acquisition module and a first navigation positioning module; the vehicle-mounted end comprises a second navigation positioning module; the cloud server comprises an image identification module, a cloud storage module and a data comparison module; the vehicle-mounted end and the mobile end are in communication connection with the cloud server; the first navigation positioning module is connected with the image acquisition module; when the positioning check is carried out, the image acquisition module is opened through the navigation positioning module, and the surrounding image acquisition is carried out; transmitting the collected environmental text information and the current positioning position information to a cloud server for processing, and identifying peripheral text information in the environmental text information and the current positioning position information by an image identification system in the cloud server; the peripheral character information is compared with the map information stored in the cloud storage module through the data comparison module; and the cloud server compares the text information with the map data information stored by the text information to confirm or correct the current positioning position and returns the confirmed or corrected result to the first navigation positioning system of the mobile terminal and the second navigation positioning module of the vehicle-mounted terminal.
The realization process is as follows:
for example, a user needs to perform online car appointment positioning navigation, but is not familiar with the environment where the user is located, and cannot judge whether the current positioning of the positioning module is accurate or not. At this time, the system can be used for realizing positioning accuracy verification or positioning auxiliary correction.
Firstly, an image acquisition system transmits acquired front, back, left and right image information of an automobile to an image recognition module, if the surrounding environment comprises a merchant signboard, a guideboard and the like, the information is uploaded to a cloud server, the information is recognized by the image recognition module in the cloud server, and the information is compared and matched with map information in a cloud storage module in the server through a data comparison module. As shown in fig. 3, in the user's current environment, there is a standard card in the front of a certain way, a bank a on the left, and a restaurant B on the right; the information is processed and then input into a cloud server, and the cloud server preferably compares the auxiliary information with peripheral information of a current positioning position; and if the information can be matched, determining that the current positioning is accurate. If the current location information is not matched with the peripheral information of the current location information, if the current location information is located at the position '1' in the figure 2, the cloud server searches and compares the peripheral information of the current location information according to the signboard information, finds out the location position which accords with the peripheral environment characteristics, returns the location position to the location navigation module, and corrects the location position in the location navigation module, namely the position '2' in the figure 2.
And the cloud server sends the corrected position to a positioning navigation system of the user and a network car booking driver to finish positioning verification and correction.
Claims (6)
1. The big data positioning and checking system based on the peripheral information is characterized in that character label information in the user peripheral environment is collected through a mobile end camera, the collected picture information is transmitted to a cloud server, the cloud server extracts the character information and matches the map peripheral environment information, and then positioning position checking or correcting is carried out.
2. The system of claim 1, wherein the system comprises a mobile terminal and a cloud server; the mobile terminal comprises an image acquisition module and a navigation positioning module;
the cloud server comprises an image identification module, a cloud storage module and a data comparison module; the mobile terminal is in communication connection with the cloud server; the navigation positioning module is connected with the image acquisition module; when the positioning check is carried out, the image acquisition module is opened through the navigation positioning module, and the surrounding image acquisition is carried out; transmitting the collected environmental text information and the current positioning position information to a cloud server for processing, and identifying peripheral text information in the environmental text information and the current positioning position information by an image identification system in the cloud server;
the peripheral character information is compared with the map information stored in the cloud storage module through the data comparison module;
and the cloud server compares the text information with the map data information stored by the text information to confirm or correct the current positioning position and returns the confirmed or corrected result to the navigation positioning module of the mobile terminal.
3. The system of claim 2, wherein the location verification system further comprises a control module, the control module coupled to the navigational positioning module; when the user starts the positioning and checking function through the control module.
4. The system of claim 3, wherein the control module is a voice control module.
5. The system of claim 3, wherein the image recognition module uses neural network techniques to recognize segmentation and recognize textual information in the image.
6. The system is characterized by comprising a mobile terminal, a vehicle-mounted terminal and a cloud server;
the mobile terminal comprises an image acquisition module and a first navigation positioning module;
the vehicle-mounted end comprises a second navigation positioning module;
the cloud server comprises an image identification module, a cloud storage module and a data comparison module;
the vehicle-mounted end and the mobile end are in communication connection with the cloud server;
the first navigation positioning module is connected with the image acquisition module; when the positioning check is carried out, the image acquisition module is opened through the navigation positioning module, and the surrounding image acquisition is carried out;
transmitting the collected environmental text information and the current positioning position information to a cloud server for processing, and identifying peripheral text information in the environmental text information and the current positioning position information by an image identification system in the cloud server;
the peripheral character information is compared with the map information stored in the cloud storage module through the data comparison module;
and the cloud server compares the text information with the map data information stored by the text information to confirm or correct the current positioning position and returns the confirmed or corrected result to the first navigation positioning system of the mobile terminal and the second navigation positioning module of the vehicle-mounted terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910873674.5A CN110807358A (en) | 2019-09-16 | 2019-09-16 | Big data positioning and checking system based on peripheral information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910873674.5A CN110807358A (en) | 2019-09-16 | 2019-09-16 | Big data positioning and checking system based on peripheral information |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110807358A true CN110807358A (en) | 2020-02-18 |
Family
ID=69487525
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910873674.5A Pending CN110807358A (en) | 2019-09-16 | 2019-09-16 | Big data positioning and checking system based on peripheral information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110807358A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523056A (en) * | 2020-03-25 | 2020-08-11 | 杭州优行科技有限公司 | Online taxi appointment order generation and distribution method and device |
| WO2021147927A1 (en) * | 2020-01-21 | 2021-07-29 | 北京嘀嘀无限科技发展有限公司 | Method and system for verifying vehicle |
| CN113810591A (en) * | 2020-06-15 | 2021-12-17 | 蘑菇车联信息科技有限公司 | High-precision map operating system and cloud platform |
| CN114025038A (en) * | 2021-11-05 | 2022-02-08 | 广州小鹏汽车科技有限公司 | Communication method, communication system and storage medium for child wearable device and vehicle |
-
2019
- 2019-09-16 CN CN201910873674.5A patent/CN110807358A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021147927A1 (en) * | 2020-01-21 | 2021-07-29 | 北京嘀嘀无限科技发展有限公司 | Method and system for verifying vehicle |
| CN111523056A (en) * | 2020-03-25 | 2020-08-11 | 杭州优行科技有限公司 | Online taxi appointment order generation and distribution method and device |
| CN113810591A (en) * | 2020-06-15 | 2021-12-17 | 蘑菇车联信息科技有限公司 | High-precision map operating system and cloud platform |
| CN113810591B (en) * | 2020-06-15 | 2023-11-21 | 蘑菇车联信息科技有限公司 | High-precision map operation system and cloud platform |
| CN114025038A (en) * | 2021-11-05 | 2022-02-08 | 广州小鹏汽车科技有限公司 | Communication method, communication system and storage medium for child wearable device and vehicle |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110807358A (en) | Big data positioning and checking system based on peripheral information | |
| CN111239790B (en) | Vehicle navigation system based on 5G network machine vision | |
| US20210108943A1 (en) | Map data updating method, apparatus, system and storage medium | |
| CN110351651B (en) | Vehicle track missing identification and compensation method | |
| US20150187351A1 (en) | Method and system for providing user with information in vehicle | |
| CN105318878A (en) | Vehicle control method based on wireless terminal and the wireless terminal | |
| CN108230720A (en) | Parking management method and device | |
| CN110567475A (en) | Navigation method, navigation device, computer readable storage medium and electronic equipment | |
| US11410429B2 (en) | Image collection system, image collection method, image collection device, recording medium, and vehicle communication device | |
| CN105004348A (en) | Voice navigation method and system | |
| CN107730896A (en) | Licence plate recognition method and device | |
| CN101206651A (en) | Vehicle information voice inquiry system and method | |
| CN113175938B (en) | Vehicle positioning enhancement system and method based on high-precision map | |
| CN107800747A (en) | A kind of passenger's locating and displaying processing method and processing device | |
| CN113029187A (en) | Lane-level navigation method and system fusing ADAS fine perception data | |
| CN110570867A (en) | Voice processing method and system for locally added corpus | |
| CN111831768A (en) | Method and device for correcting driving track, storage medium and electronic equipment | |
| CN109598593B (en) | Automobile returning method based on intelligent vehicle-mounted rearview mirror and shared automobile | |
| CN113155142A (en) | Method and device for determining starting point road | |
| CN104848850A (en) | Method and system for sharing map data | |
| CN112866915B (en) | Navigation information processing method and device, electronic equipment and storage medium | |
| CN114923492A (en) | Positioning information determination method and device, electronic equipment and storage medium | |
| CN110806204A (en) | Vehicle-mounted auxiliary positioning system based on big data | |
| CN114690896A (en) | Information processing apparatus, information processing method, and storage medium | |
| CN114022973A (en) | Vehicle fault processing method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200218 |
|
| WD01 | Invention patent application deemed withdrawn after publication |