CN109284659A - A kind of positioning of mobile object is rectified a deviation and the method for noise filtering - Google Patents
A kind of positioning of mobile object is rectified a deviation and the method for noise filtering Download PDFInfo
- Publication number
- CN109284659A CN109284659A CN201710626917.6A CN201710626917A CN109284659A CN 109284659 A CN109284659 A CN 109284659A CN 201710626917 A CN201710626917 A CN 201710626917A CN 109284659 A CN109284659 A CN 109284659A
- Authority
- CN
- China
- Prior art keywords
- mobile object
- data
- signal
- gis
- processing system
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
- G06F2218/04—Denoising
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- General Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
The invention discloses a kind of mobile object positioning rectify a deviation and noise filtering method, mobile object size used, movement speed range and conventional travel frequency are input in data processing system, and data processing system is allowed to store the GIS information with real-time calling mobile object region；Mobile object emits geographic location signal to satellite, and satellite sends a signal to data processing system；Data processing system carries out noise filtering using data transmitted by mobile object, to collected data, analyzes the track in its certain time, the trajectory diagram before being formed；It is analyzed by the GIS of mobile object region, the geography information of region, real-time traffic condition is analyzed and judged.The present invention is improved by the algorithm to wavelet transformation, can preferably adapt to the demand of present mobile object positioning, as much as possible to filter out noise, and lead is arranged to a certain extent, so as to improve the accuracy of mobile object positioning.
Description
Technical field
The present invention relates to technical field of navigation and positioning, and in particular to a kind of positioning of mobile object is rectified a deviation and the side of noise filtering
Method.
Background technique
With becoming increasingly popular for civilian mobile object positioning now, nearly all vehicle is equipped with positioning system, with side
Persons who happens to be on hand for an errand use when navigation, reduce because being unfamiliar with the problem of road conditions etc. cause.Current location technology, typically
It is positioned using navigation equipment, navigation equipment is by real-time GPS or Beidou satellite navigation, by current positioning point-rendering
On map, civilian positioning device is influenced by usage scenario, equipment performance, the positioning longitude and latitude finally obtained often with reality
There is deviation in position；GPS or big-dipper satellite positioning are a variety of by ephemeris error, ionospheric error, multipath effect and interior noise etc.
The influence of factor can usually generate 10 meters or more of error, this is little using influencing on highway, but uses in urban district, especially
It is related to the route of the short distances such as the auxiliary road of main stem or fork in the road, once there is this deviation, it is most likely that cause to go to the wrong way
Road needs that problem could be corrected long after, brings to driver greatly troublesome；As GPS positioning auxiliary, base station/
WiFi positioning is positioned point drift meeting by the multi-party reasons such as signal source density, stability, reference point locations the data precision, bring
It is more universal；For these reasons, there are problems for the prior art, and there is an urgent need to improve to change to existing location technology
It is good；Due to ephemeris error, ionospheric error, multipath effect and in terms of, these influences lead to the letter of GPS receiver
Number randomness is larger, so that clearing out the result come is superimposed the progress that a certain amount of random noise affects resolving, therefore,
In GPS Baselines money, it is therefore desirable to be pre-processed to its noise, actual signal could be obtained, reduce error with this.
Summary of the invention
In view of the above-mentioned problems, the present invention is improved by the algorithm to wavelet transformation, can preferably adapt to existing
It is as much as possible to filter out noise in the demand of mobile object positioning, and lead is set to a certain extent, so as to improve shifting
The accuracy of animal body positioning.
The technical scheme is that
A kind of positioning of mobile object is rectified a deviation and the method for noise filtering, including following content, and its step are as follows:
S1, mobile object size used, movement speed range and conventional travel frequency are input to data processing system
In, and data processing system is allowed to store the GIS information with real-time calling mobile object region；
To satellite, satellite sends a signal to data processing system for S2, mobile object transmitting geographic location signal；
S3, data processing system carry out noise filtering to collected data using data transmitted by mobile object, point
Analyse the track in its certain time, the trajectory diagram before being formed；
S4, it is analyzed by the GIS of mobile object region, geography information, real-time traffic shape to region
Condition is analyzed, and it is compared with step S2, judges whether to be consistent with regular situation, and entangled according to judging result
Processing partially；
S5, when signal it is good, and motion track stablize, also with before positioning track and speed be consistent when, be
System is without analyzing in real time and judging；
When signal is good, but motion track is unstable, and when prelocalization track is not consistent with speed therewith, Huo Zheji
When calculating the distance of its recorded roadside office and barrier etc. into GIS and be less than its own size, analysis is carried out to signal and is sentenced
It is disconnected；
When poor signal, automatically turn on correction mode, according to the speed of motion track and mobile object before,
The information of GIS road conditions judges to rectify a deviation to its position.
Further, the noise in the step S3, which is filtered, carries out noise reduction using db3 multi-scale wavelet mode, using two
Platform double-frequency GPS receiver sets vector benchmark first, is then once sampled at interval of 2s, and carrier wave is read after sampling and is seen
The double difference equation of measured data composition searches out this part since every group in equation of observed quantity has periodical jump
Data simultaneously carry out repair process, leave useful data information, and the db3 multi-scale wavelet for reusing selected decomposition scale carries out
Noise reduction carries out Floating-point Computation to the double difference observation after noise reduction using observational equation, and steps are as follows for specific calculating:
Continuous wavelet transform value is ΨA, bF (a, b), the scale parameter of continuous wavelet transformJ is signal location
Domain frequency constant, translation parametersK is definite value 1.5, obtains formula:
In the wavelet transform of finite energy signal, f (t) ∈ L2(R), above formula is substituted into obtain:
The GIS information offer that the value of more offset empirical Q, Q are increased newly by region is provided to it, is substituted into
It is obtained after above formula:
Above formula passes through Fourier transformation, obtains:
In formula, C is constant.
Further, in step s 5, the data for the size of mobile object being provided with length and width are respectively L, W, if moved
Animal body is long vertical, then is additionally provided with lubrication groove difference data N, and by above-mentioned Data Integration into GIS, it is public to form required data
Formula are as follows:
Wherein, x is the untreated data of collected real time position, and i is its timeline, and y is real time position place
It has a lot of social connections in region.
The present invention has the advantages that
1, the positioning method of the prior art is improved, creative introducing GIS allows mobile object on the way to travel
When, analysis processing can be preferably obtained, the base station without relying in city can be positioned, and Data processing is reduced
Analysis times and intensity also just consequently reduce the chance for generating data deviation, instead use big data analysis
Mode, carry out data analysis in conjunction with regular course, speed and geography information state；
2, it is improved by the noise filter method to the prior art, the mode analyzed using db3 noise, by its data
The mode of analysis is combined with actual road conditions, is further increased the efficiency of noise taking-up, is made data fidelity height.
Specific embodiment
Describe the specific embodiment of the invention below by embodiment: which show the preferred embodiment of the present invention, answer
Understand that those skilled in the art can modify invention described herein, and still realizes advantageous effects of the invention.Therefore,
Following description should be understood as the widely known of those skilled in the art, and be not intended as limitation of the present invention.
For clarity, not describing whole features of practical embodiments.In the following description, it is not described in detail well known function
And structure, because they can make the present invention chaotic due to unnecessary details.It will be understood that opening in any practical embodiments
In hair, it is necessary to make a large amount of implementation details to realize the specific objective of developer, such as according to related system or related business
Limitation, changes into another embodiment by one embodiment.Additionally, it should think that this development may be complicated and expend
Time, but to those skilled in the art it is only routines.
The present invention is more specifically described by way of example referring to attached drawing in the following passage.It is wanted according to following explanation and right
Book is sought, advantages and features of the invention are clearer.It should be noted that attached drawing is all made of very simplified form and using non-
Accurately ratio, only for the purpose of facilitating and clarifying the purpose of the embodiments of the invention.
A kind of positioning of mobile object is rectified a deviation and the method for noise filtering, including following content:
Using the truck of certain overlength, tested in the outskirts of a town in East Coastal urban district, the distribution of building herein compared with
To be at random, road conditions are general, and vehicle is relatively fewer, certain speed can be kept at the uniform velocity to advance, and have part turning.It is moved
Object positioning and rectifying and the method for noise filtering, steps are as follows:
S1, mobile object size used, movement speed range and conventional travel frequency are input to data processing system
In, and data processing system is allowed to store the GIS information with real-time calling mobile object region, used GIS information is main
It to include the information such as city map, height above sea level, latitude, longitude, building width, height and bridge, tunnel, culvert equal length；
S2, mobile object transmitting geographic location signal are to satellite, and satellite sends a signal to data processing system, at data
Reason system is able to achieve the capture of GPSL1C/A code, L1/L2P code using 5700 double-frequency GPS receiver of Trimble (Tian Bao)
With tracking etc. core functions, the pseudorange accuracy of receiver reaches 10cm, carrier phase precision has reached 1mm, meets signal acquisition
Demand；
S3, data processing system carry out noise filtering to collected data using data transmitted by mobile object, point
The track in its certain time, the trajectory diagram before being formed are analysed, and analyzes speed data and possible pace of change number when in fact
According to；
Noise filtering carries out noise reduction using db3 multi-scale wavelet mode, using two double-frequency GPS receivers, sets first
Vector benchmark has been set, has then once been sampled at interval of 2s, acquisition time is 20mn in the present embodiment, reads and carries after sampling
The double difference equation of wave observation data composition searches out this since every group in equation of observed quantity has periodical jump
Partial data simultaneously carries out repair process, leaves useful data information, reuses the db3 multi-scale wavelet of selected decomposition scale
Noise reduction is carried out, Floating-point Computation is carried out to the double difference observation after noise reduction using observational equation, steps are as follows for specific calculating:
Continuous wavelet transform value is ΨA, bF (a, b), the scale parameter of continuous wavelet transformJ is signal location
Domain frequency constant, translation parametersK is definite value 1.5, obtains formula:
In the wavelet transform of finite energy signal, f (t) ∈ L2(R), above formula is substituted into obtain:
It is introduced and increases more offset empirical Q newly, the value of Q is provided by the GIS information of region, this implementation
It is 4231 in example, is obtained after being substituted into above formula:
Above formula passes through Fourier transformation, obtains:
In formula, C is constant, and in the present embodiment, selecting the constant of C is 3.
S4, it is analyzed by the GIS of mobile object region, geography information, real-time traffic shape to region
Condition is analyzed, and it is compared with step S2, judges whether to be consistent with regular situation, and entangled according to judging result
Processing partially；
S5, when signal it is good, and motion track stablize, also with before positioning track and speed be consistent when, be
System is without analyzing in real time and judging；
When signal is good, but motion track is unstable, and when prelocalization track is not consistent with speed therewith, Huo Zheji
When calculating the distance of its recorded roadside office and barrier etc. into GIS and be less than its own size, analysis is carried out to signal and is sentenced
It is disconnected；
When poor signal, automatically turn on correction mode, according to the speed of motion track and mobile object before,
The information of GIS road conditions judges to rectify a deviation to its position；
It is respectively L, W to the data that the size of mobile object is provided with length and width, if mobile object is long vertical, also
It is provided with lubrication groove difference data N, by above-mentioned Data Integration into GIS, forms required data formula are as follows:
Wherein, x is the untreated data of collected real time position, and i is its timeline, according to the number of the present embodiment
According to y is having a lot of social connections for real time position region, and above-mentioned data and collected x, y signal are substituted into above-mentioned formula, obtain its base
The length of line is 1453m, and basic lineal vector is [1249.214,1002.145,1327.471], finally obtains the error of residual value most
Big value is 1.836m, average error value 0.215m, occurs vehicle error position in test and touches building and barrier
Situation is analyzed in time and is corrected.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention
Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (3)
1. a kind of mobile object positioning is rectified a deviation and the method for noise filtering, including following content, its step are as follows:
S1, mobile object size used, movement speed range and conventional travel frequency are input in data processing system, and
Data processing system is allowed to store the GIS information with real-time calling mobile object region；
To satellite, satellite sends a signal to data processing system for S2, mobile object transmitting geographic location signal；
S3, data processing system carry out noise filtering to collected data, analyze it using data transmitted by mobile object
Track in certain time, the trajectory diagram before being formed；
S4, analyzed by the GIS of mobile object region, to the geography information of region, real-time traffic condition into
Row analysis, and it is compared with step S2, judge whether to be consistent with regular situation, and carried out at correction according to judging result
Reason；
S5, when signal it is good, and motion track stablize, also with before positioning track and speed be consistent when, system is not
It is analyzed and is judged in real time；
When signal is good, but motion track is unstable, and when prelocalization track is not consistent with speed therewith, or calculates it
When into GIS, recorded roadside office and the distance of barrier etc. are less than its own size, signal is analyzed and determined；
When poor signal, correction mode is automatically turned on, according to the speed of motion track and mobile object before, the road GIS
The information of condition judges to rectify a deviation to its position.
2. a kind of mobile object positioning according to claim 1 is rectified a deviation and the method for noise filtering, which is characterized in that described
Noise in step S3, which is filtered, carries out noise reduction using db3 multi-scale wavelet mode, using two double-frequency GPS receivers, first
Vector benchmark is set, is then once sampled at interval of 2s, the double difference observation of carrier observations data composition is read after sampling
Amount equation searches out this partial data and carries out repair process, stay since every group in equation of observed quantity has periodical jump
Under useful data information, the db3 multi-scale wavelet for reusing selected decomposition scale carries out noise reduction, using observational equation to drop
Double difference observation after making an uproar carries out Floating-point Computation, and steps are as follows for specific calculating:
Continuous wavelet transform value is ΨA, bF (a, b), the scale parameter of continuous wavelet transformJ is signal region frequency
Rate constant, translation parametersK is definite value 1.5, obtains formula:
In the wavelet transform of finite energy signal, f (t) ∈ L2(R), above formula is substituted into obtain:
The GIS information offer that the value of more offset empirical Q, Q are increased newly by region is provided to it, is substituted into above formula
After obtain:
Above formula passes through Fourier transformation, obtains:
In formula, C is constant.
3. a kind of mobile object positioning according to claim 1 is rectified a deviation and the method for noise filtering, which is characterized in that in step
It is respectively L, W to the data that the size of mobile object is provided with length and width in rapid S5, if mobile object is long vertical, also
It is provided with lubrication groove difference data N, by above-mentioned Data Integration into GIS, forms required data formula are as follows:
Wherein, x is the untreated data of collected real time position, and i is its timeline, and y is real time position region
Have a lot of social connections.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710626917.6A CN109284659A (en) | 2017-07-22 | 2017-07-22 | A kind of positioning of mobile object is rectified a deviation and the method for noise filtering |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710626917.6A CN109284659A (en) | 2017-07-22 | 2017-07-22 | A kind of positioning of mobile object is rectified a deviation and the method for noise filtering |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109284659A true CN109284659A (en) | 2019-01-29 |
Family
ID=65185486
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710626917.6A Pending CN109284659A (en) | 2017-07-22 | 2017-07-22 | A kind of positioning of mobile object is rectified a deviation and the method for noise filtering |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109284659A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111256712A (en) * | 2020-02-24 | 2020-06-09 | 深圳市优必选科技股份有限公司 | Map optimization method and device and robot |
| CN111615061A (en) * | 2020-05-09 | 2020-09-01 | 国家计算机网络与信息安全管理中心山东分中心 | Denoising method and denoising device for track data of mobile terminal |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100332126A1 (en) * | 2009-06-30 | 2010-12-30 | O2Micro, Inc. | Inertial navigation system with error correction based on navigation map |
| CN102512161A (en) * | 2011-12-20 | 2012-06-27 | 华南理工大学 | Intraoperative motor area function localization system based on cortex electroencephalogram mu rhythm wavelet analysis |
| CN102735968A (en) * | 2012-06-13 | 2012-10-17 | 江苏省电力公司南京供电公司 | GIS (Geographic Information System) fault diagnosis system and method based on vibration signal spectrum analysis |
| CN102928816A (en) * | 2012-11-07 | 2013-02-13 | 东南大学 | High-reliably integrated positioning method for vehicles in tunnel environment |
| CN103823933A (en) * | 2014-02-26 | 2014-05-28 | 大连理工大学 | Method for processing metal cutting simulation data |
| CN104236566A (en) * | 2014-09-24 | 2014-12-24 | 深圳先进技术研究院 | Map matching method based on intelligent mobile phone |
| CN104570011A (en) * | 2014-12-26 | 2015-04-29 | 中国电子科技集团公司第二十研究所 | Relative positioning device for satellite navigation and carrier phase cycle-slip repairing method of device |
| CN105300395A (en) * | 2014-07-11 | 2016-02-03 | 北京协进科技发展有限公司 | Navigation and positioning method and device |
| CN105547288A (en) * | 2015-12-08 | 2016-05-04 | 华中科技大学 | Self-localization method and system for mobile device in underground coal mine |
| CN105759289A (en) * | 2014-12-15 | 2016-07-13 | 国际商业机器公司 | Method and system for processing GPS drift |
| CN105759720A (en) * | 2016-04-29 | 2016-07-13 | 中南大学 | Mechanical arm tracking and positioning on-line identification and correction method based on computer vision |
| CN106205114A (en) * | 2016-07-22 | 2016-12-07 | 中国科学院软件研究所 | A kind of Freeway Conditions information real time acquiring method based on data fusion |
| CN106469505A (en) * | 2015-08-20 | 2017-03-01 | 方正国际软件(北京)有限公司 | A kind of floating wheel paths method for correcting error and device |
| CN106679657A (en) * | 2016-12-06 | 2017-05-17 | 北京航空航天大学 | Method and device for navigating and positioning motion carrier |
| CN106871924A (en) * | 2017-01-26 | 2017-06-20 | 安徽中科美络信息技术有限公司 | A kind of VMT Vehicle-Miles of Travel computational methods based on satellite positioning signal |
-
2017
- 2017-07-22 CN CN201710626917.6A patent/CN109284659A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100332126A1 (en) * | 2009-06-30 | 2010-12-30 | O2Micro, Inc. | Inertial navigation system with error correction based on navigation map |
| CN102512161A (en) * | 2011-12-20 | 2012-06-27 | 华南理工大学 | Intraoperative motor area function localization system based on cortex electroencephalogram mu rhythm wavelet analysis |
| CN102735968A (en) * | 2012-06-13 | 2012-10-17 | 江苏省电力公司南京供电公司 | GIS (Geographic Information System) fault diagnosis system and method based on vibration signal spectrum analysis |
| CN102928816A (en) * | 2012-11-07 | 2013-02-13 | 东南大学 | High-reliably integrated positioning method for vehicles in tunnel environment |
| CN103823933A (en) * | 2014-02-26 | 2014-05-28 | 大连理工大学 | Method for processing metal cutting simulation data |
| CN105300395A (en) * | 2014-07-11 | 2016-02-03 | 北京协进科技发展有限公司 | Navigation and positioning method and device |
| CN104236566A (en) * | 2014-09-24 | 2014-12-24 | 深圳先进技术研究院 | Map matching method based on intelligent mobile phone |
| CN105759289A (en) * | 2014-12-15 | 2016-07-13 | 国际商业机器公司 | Method and system for processing GPS drift |
| CN104570011A (en) * | 2014-12-26 | 2015-04-29 | 中国电子科技集团公司第二十研究所 | Relative positioning device for satellite navigation and carrier phase cycle-slip repairing method of device |
| CN106469505A (en) * | 2015-08-20 | 2017-03-01 | 方正国际软件(北京)有限公司 | A kind of floating wheel paths method for correcting error and device |
| CN105547288A (en) * | 2015-12-08 | 2016-05-04 | 华中科技大学 | Self-localization method and system for mobile device in underground coal mine |
| CN105759720A (en) * | 2016-04-29 | 2016-07-13 | 中南大学 | Mechanical arm tracking and positioning on-line identification and correction method based on computer vision |
| CN106205114A (en) * | 2016-07-22 | 2016-12-07 | 中国科学院软件研究所 | A kind of Freeway Conditions information real time acquiring method based on data fusion |
| CN106679657A (en) * | 2016-12-06 | 2017-05-17 | 北京航空航天大学 | Method and device for navigating and positioning motion carrier |
| CN106871924A (en) * | 2017-01-26 | 2017-06-20 | 安徽中科美络信息技术有限公司 | A kind of VMT Vehicle-Miles of Travel computational methods based on satellite positioning signal |
Non-Patent Citations (3)
| Title |
|---|
| JIANGUO ZHANG等: "A Precise Positioning System Based on DGPS and GIS for Automatic Driving Vehicle", 《APPLIED MECHANICS AND MATERIALS》 * |
| 杨皎皎等: "车载导航系统中定位点纠偏方法的设计及实现", 《信息通信》 * |
| 王涛: "基于小波分析的GPS变形监测数据去噪方法研究", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111256712A (en) * | 2020-02-24 | 2020-06-09 | 深圳市优必选科技股份有限公司 | Map optimization method and device and robot |
| CN111615061A (en) * | 2020-05-09 | 2020-09-01 | 国家计算机网络与信息安全管理中心山东分中心 | Denoising method and denoising device for track data of mobile terminal |
| CN111615061B (en) * | 2020-05-09 | 2022-02-15 | 国家计算机网络与信息安全管理中心山东分中心 | Denoising method and denoising device for track data of mobile terminal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9341488B2 (en) | Time and/or accuracy dependent weights for network generation in a digital map | |
| CN106969764B (en) | Road matching method and device and vehicle-mounted map acquisition system | |
| DE102011017115B4 (en) | Method and device for a geographic support solution for navigation satellite systems | |
| Zielstra et al. | Using free and proprietary data to compare shortest-path lengths for effective pedestrian routing in street networks | |
| CN102708680B (en) | Commute travel mode identification method based on AGPS technology | |
| CN103344976B (en) | A kind of auxiliary satellite navigation localization method and accordingly positioning terminal | |
| US9222786B2 (en) | Methods and systems for creating digital transportation networks | |
| US8260532B2 (en) | Traffic probe in-vehicle map-based process to reduce data communications and improve accuracy | |
| CN102901505B (en) | Navigational system and road matching method and device | |
| Wang et al. | Estimating dynamic origin-destination data and travel demand using cell phone network data | |
| CN101673460B (en) | Traffic information quality evaluation method, device and system therefor | |
| US11042648B2 (en) | Quantification of privacy risk in location trajectories | |
| JP6324101B2 (en) | TRAVEL TIME DATA PREPARATION DEVICE, TRAVEL TIME DATA PREPARATION METHOD, AND PROGRAM | |
| CN111739323B (en) | Method and device for acquiring intersection information | |
| Ndoye et al. | A recursive multiscale correlation-averaging algorithm for an automated distributed road-condition-monitoring system | |
| CN108446324A (en) | A kind of GPS data reconstructing method based on long memory network LSTM in short-term | |
| US20200210718A1 (en) | Lane count estimation | |
| MX2007001250A (en) | Methods and apparatus for improving the accuracy and reach of electronic media exposure measurement systems. | |
| US10904853B2 (en) | Estimation of mobile device count | |
| CN109284659A (en) | A kind of positioning of mobile object is rectified a deviation and the method for noise filtering | |
| CN110045402A (en) | GNSS alignment quality information-pushing method, device, equipment and storage medium | |
| KR20220061092A (en) | GPS positioning method and computer program product | |
| WO2020151719A1 (en) | Determining geographic location of a mobile device using sensor data | |
| CN102496279A (en) | Method and device for system configuration of floating car | |
| EP4330632A1 (en) | Methods and systems for determining estimated travel times through a navigable network |
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 | ||
| CB02 | Change of applicant information |
Address after: 501 room 2699, block B, friendship road, No. 200000, Shanghai, Baoshan District Applicant after: Shanghai wanwei Digital Technology Co., Ltd Address before: 501 room 2699, block B, friendship road, No. 200000, Shanghai, Baoshan District Applicant before: Shanghai Rice Industry Co. Ltd. |
|
| CB02 | Change of applicant information | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190129 |
|
| WD01 | Invention patent application deemed withdrawn after publication |