CN108088448A - The matching process and device of a kind of high-precision track group and traditional road - Google Patents

The matching process and device of a kind of high-precision track group and traditional road Download PDF

Info

Publication number
CN108088448A
CN108088448A CN201711163391.9A CN201711163391A CN108088448A CN 108088448 A CN108088448 A CN 108088448A CN 201711163391 A CN201711163391 A CN 201711163391A CN 108088448 A CN108088448 A CN 108088448A
Authority
CN
China
Prior art keywords
track group
traditional road
road
connecting line
precision
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.)
Granted
Application number
CN201711163391.9A
Other languages
Chinese (zh)
Other versions
CN108088448B (en
Inventor
罗跃军
严小坚
魏利芬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan Zhonghai Data Technology Co Ltd
Original Assignee
Wuhan Zhonghai Data Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Wuhan Zhonghai Data Technology Co Ltd filed Critical Wuhan Zhonghai Data Technology Co Ltd
Priority to CN201711163391.9A priority Critical patent/CN108088448B/en
Publication of CN108088448A publication Critical patent/CN108088448A/en
Application granted granted Critical
Publication of CN108088448B publication Critical patent/CN108088448B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/28Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • G01C21/30Map- or contour-matching
    • G01C21/32Structuring or formatting of map data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases

Abstract

The present invention relates to a kind of high-precision track group and the matching process and device of traditional road, method comprises the following steps:Obtain the vector quantization data of a plurality of traditional road in the vector quantization data of a plurality of track group connecting line and conventional navigation map in high-precision map;The a plurality of track group connecting line is intersected into computing with a plurality of traditional road work successively, establishes the corresponding traditional road set intersected with it of track group connecting line described in each item;The traditional road set is filtered, obtains group connecting line matched traditional road in track described in each;According to track group connecting line and the matching relationship of traditional road, the matching relationship of high-precision track group and traditional road is established.Complicated mathematical computations dimension can be reduced to plane level by the present invention in the range of trueness error, using the relation of simple line segment and line segment, calculate the matching relationship of high-precision track group and traditional road.Algorithm is implemented simple and practicable, it is readily appreciated that.

Description

The matching process and device of a kind of high-precision track group and traditional road
Technical field
The present invention relates to digital map navigation and technical field of data processing, and in particular to a kind of height in high-precision map Precision track group and the matching process and device of the traditional road in traditional map.
Background technology
With the progressively application towards active safety and unpiloted next-generation high-precision navigation map, map datum from The navigation on basis, guiding function progressively move towards the Premium Features of Body Control and active safety, the Route guiding work(of track rank The advanced automatic Pilot of vehicle can be fully applicable to, active safety and unpiloted primary demand are met with this.
In high-precision map manufacturing process, the point (such as laser point cloud data) gathered from real road can be sweared Quantification treatment finally constitutes the digital map data for sailing out of.Track rank data bulk after vector quantization is carried out is very huge Greatly, it is unfavorable for quickly carrying out topological calculating, how efficiently obtains the problem of route guidance information of track rank is one important. At this stage, solution has associated traditional data with track level data predominantly when making High-precision vehicle track data by hand Come, using mature road computing technique, further calculate the guidance information of track rank.This method needs manual association The map datum of two kinds of acquisition specifications, cannot meet the processing of mass data in producing efficiency and accuracy.
Related terms are explained:
1. high-precision track group
For completely describing to be located at a road section, the set in the track with identical travel direction.As shown in Figure 2.
2. High-precision vehicle road shape coordinate points
For completely describing the set put necessary to a track, each point must have X, Y-coordinate.X, Y-coordinate can To be the X of the latitude and longitude coordinates under sphere centre coordinate system or the rectangular coordinate system under projected coordinate system, Y-coordinate.Such as Fig. 6 It is shown.
3. high-precision track node shape coordinate point
For completely describing a point of two or more high-precision track connection relation, this point must have X, Y-coordinate.X, Y-coordinate can be the latitude and longitude coordinates under sphere centre coordinate system or the rectangular co-ordinate under projected coordinate system The X of system, Y-coordinate.As shown in Figure 2.
4. high-precision track group connecting line shape coordinate point
For completely describing the set put necessary to the connection relation of two groups or more high-precision track group, each Point must have X, Y-coordinate.X, Y-coordinate can be under the latitude and longitude coordinates under sphere centre coordinate system or projected coordinate system Rectangular coordinate system X, Y-coordinate.As shown in Fig. 3,6.
5. the adjacent track group of high-precision
For completely describing the high-precision track group in the left side of one group of high-precision track group or right side.As shown in Figure 4.
6. road shape coordinate points
For completely describing the set put necessary to a road, each point must have X, Y-coordinate.X, Y-coordinate can To be the X of the latitude and longitude coordinates under sphere centre coordinate system or the rectangular coordinate system under projected coordinate system, Y-coordinate.Such as Fig. 7 It is shown.
7. circuit node shape coordinate point
For completely describe two or two or more road connection relation a point, this point must have X, Y Coordinate.X, Y-coordinate can be the latitude and longitude coordinates under sphere centre coordinate system or the rectangular coordinate system under projected coordinate system X, Y-coordinate.As shown in Figure 5.
8. vector quantization data
By from the road of acquired original, track shape coordinate point, carrying out manually (or automatic) identification, extraction can keep Road, the coordinate points of track shape have front and rear logical relation between each coordinate points.It is just achieved after the completion of road digitalization Road, the vector quantization data in track.
The content of the invention
The present invention is directed to technical problem in the prior art, provides of a kind of high-precision track group and traditional road Method of completing the square and device in acceptable accuracy requirement, space requirement, time range of needs, effectively calculate High-precision vehicle The matching relationship of road group and traditional road.
The technical solution that the present invention solves above-mentioned technical problem is as follows:
One aspect of the present invention provides the matching process of a kind of high-precision track group and traditional road, it is characterised in that:Including Following steps:
Step 1, obtain more in the vector quantization data of a plurality of track group connecting line and conventional navigation map in high-precision map The vector quantization data of traditional road;
Step 2, a plurality of track group connecting line is intersected into computing with a plurality of traditional road work successively, establishes each item The corresponding traditional road set intersected with it of the track group connecting line;
Step 3, the traditional road set is filtered, obtains group connecting line matched tradition in track described in each Road;
Step 4, the track group connecting line and the matching relationship of traditional road obtained according to step 3, establishes high-precision track Group and the matching relationship of traditional road.
Further, it is more in the vector quantization data of a plurality of track group connecting line and conventional navigation map in the high-precision map The vector quantization data of traditional road include describing the coordinate point data of the track group connection wire shaped and for describing The coordinate point data of the traditional road shape.
Further, the coordinate points data include sphere centre coordinate or projection coordinate.
Further, in the step 2, a plurality of track group connecting line is intersected with a plurality of traditional road work successively Computing is established the corresponding traditional road set intersected with it of track group connecting line described in each item, is comprised the following steps:
Step 201, by road direction of advance, a track group connecting line C for not carrying out intersecting computing is taken successivelyp, obtain Two extreme coordinates and line of the track group connecting line, obtain line segment
Step 202, a traditional road R for not carrying out intersecting computing is takenq, it is used to describe traditional road shape according to described Coordinate points, obtain traditional road RqCoordinate point set:Rq={ P1,P2,...,Pn}q, and according to the coordinate point set, It connects two adjacent coordinate points and forms line segment, obtain and traditional road RqCorresponding line segment aggregate:{L1,L2,...,Ln-1, In,
Li={ Pi,Pi+1}i∈[1,n-1];
Step 203, line segment is judgedWhether with line segment aggregate { L1,L2,...,Ln-1Any one line segment intersection, if phase Friendship then records CpIntersect at Rq
Step 204, judge whether also exist not with line segmentThe traditional road of intersecting computing is carried out, if being jumped in the presence of if Step 202, step 205 is otherwise performed;
Step 205, judge whether also there is the track group connecting line for not carrying out intersecting computing, if in the presence of jumping to step Rapid 201, otherwise terminate intersecting computing, obtain the corresponding traditional road set intersected with it of each track group connecting line.
Further, in the step 3, the traditional road set is filtered, track group described in each is obtained and connects The matched traditional road of wiring, comprises the following steps:
Step 301, for the corresponding traditional road set intersected with it of every track group connecting line, if element in set Quantity is more than 1, then travels through the road attribute of all traditional roads in set, retains one and road category where the group connecting line of track Property consistent traditional road, delete the other elements in set;
Step 302, repeat step 301, obtain all track group connecting lines and with its one-to-one traditional road Road.
Further, in the step 4, the track group connecting line and the matching relationship of traditional road that are obtained according to step 3 are built The matching relationship of vertical high-precision track group and traditional road, including:
The head end track group connecting line of each high-precision track group and tail end track group in high-precision map is obtained successively to connect Wiring, according to head end track group connecting line and the corresponding traditional road of tail end track group connecting line, establish high-precision track group with The matching relationship of traditional road.
The beneficial effects of the invention are as follows:In the range of trueness error, complicated mathematical computations dimension can be reduced to flat Face grade using the relation of simple line segment and line segment, calculates the matching relationship of high-precision track group and traditional road.Algorithm is real It applies simple and practicable, it is readily appreciated that.
Another aspect of the present invention provides the coalignment of a kind of high-precision track group and traditional road, including:
Data acquisition module, for obtaining the vector quantization data and conventional pilot of a plurality of track group connecting line in high-precision map The vector quantization data of a plurality of traditional road in boat map;
Gather generation module, for successively mutually shipping a plurality of track group connecting line with a plurality of traditional road It calculates, establishes the corresponding traditional road set intersected with it of track group connecting line described in each item;
Matching relationship filtering module for being filtered to the traditional road set, obtains track group described in each The matched traditional road of connecting line;
Matching relationship generation module for the matching relationship according to track group connecting line and traditional road, establishes high-precision The matching relationship of track group and traditional road.
Further, it is more in the vector quantization data of a plurality of track group connecting line and conventional navigation map in the high-precision map The vector quantization data of traditional road include describing the coordinate point data of the track group connection wire shaped and for describing The coordinate point data of the traditional road shape.
Further, the coordinate points data include sphere centre coordinate or projection coordinate.
The beneficial effects of the invention are as follows:In the range of trueness error, complicated mathematical computations dimension can be reduced to flat Face grade using the relation of simple line segment and line segment, calculates the matching relationship of high-precision track group and traditional road.Algorithm is real It applies simple and practicable, it is readily appreciated that.
Description of the drawings
The process flow of the matching process of a kind of Fig. 1 high-precision track groups provided in an embodiment of the present invention and traditional road Figure;
Fig. 2 high-precisions track group, track shape, the definition graph of track node;
The definition graph of Fig. 3 high-precisions track group connecting line;
The definition graph of the adjacent track group of Fig. 4 high-precisions;
The definition graph of Fig. 5 roads circuit node;
The definition graph of the phasor coordinate point set in Fig. 6 tracks group connecting line and track;
The definition graph of the phasor coordinate point set of Fig. 7 roads;
The definition graph of the method for the representative line segment of Fig. 8 construction track group connecting lines;
The definition graph of the method for Fig. 9 construction road line segment aggregates;
Figure 10 filters the definition graph for not meeting match information;
Figure 11 establishes the definition graph of high-precision track group and the match information of road;
Figure 12 establishes the definition graph of adjacent track group and the match information of road;
The coalignment structure diagram of a kind of Figure 13 high-precision track groups provided in an embodiment of the present invention and traditional road.
Specific embodiment
The principle of the present invention and feature are described below in conjunction with example, the given examples are served only to explain the present invention, and It is non-to be used to limit the scope of the present invention.
As shown in Figure 1, on the one hand the embodiment of the present invention provides the matching process of a kind of high-precision track group and traditional road, Its specific embodiment, comprises the following steps:
1. high-precision track group connecting line data are read in:Read in the vector after the group connecting line digitized processing of high-precision track Change data.
After reading in data, therefore, to assure that vector quantization data are ordered into.Context and real generation i.e. between coordinate points Boundary is consistent.The collection of note high-precision track group connecting line vector quantization coordinate points is combined into { P1,P2,P3...Pn, as shown in Figure 6;
Traditional road data are read in:Read in road digitalization treated vector quantization data.
After reading in data, therefore, to assure that vector quantization data are ordered into.Context and real generation i.e. between coordinate points Boundary is consistent.The collection of note traditional road vector quantization coordinate points is combined into { P1',P2',P3'...Pn', as shown in Figure 7;
2. high-precision track group connecting line intersects computing with traditional road.
2.1) high-precision track group connecting line C is obtained1First shape coordinate point P1With the last one shape coordinate point Pn, remember by point P1With point PnThe line segment of composition is L, as shown in Figure 8.
2.2) traditional road R is obtainedaShape coordinate point, it is assumed that the collection of road vectors coordinate points is combined into { P1',P2', P3'...Pn', line segment then is formed with adjacent two coordinate points, obtains line segment L1{P1',P2', line segment L2{P2',P3' ... line segment Ln-1{Pn-1',Pn', as shown in Figure 9.
2.3) ask line segment L whether with line segment aggregate { L1,L2,L3...Ln-1Any one section of intersecting, record C1Intersect at Ra
2.4) step 2.2, step 2.3 are repeated, finds all traditional road line segments intersected with line segment L.Record C1It is intersecting In road set { Ra,Rb,Rc...}。
2.5) repeat the above steps, calculate all high-precision track group connecting lines and traditional road intersects information.Note Record C1Intersect at road set { Ra,Rb,Rc...}、C2Intersect at road set { Rd,Re...}、…、CnIntersect at road set {Rx,Ry...}。
3. establish high-precision track group connecting line and traditional road overlapping relation.
3.1) information that obtaining step 2 records, such as:C1Intersect at road set { Ra,Rb,Rc...}.If collective number Have overhead section above road more than 1, where illustrating high-precision track group connecting line or lower section have tunnel road etc. other Some cases, it is necessary to according to track group connect line attribute and road attribute filter incongruent section (such as:Road number, road Road grade, link name, track quantity, road type etc.), it only leaves a road and is connected lines matching with the high-precision track group. Such as:Record C1Intersect at road Ra, as shown in Figure 10.
3.2) step 3.1 is repeated, calculates the matching relationship of all high-precision track group connecting lines and traditional road.Such as: Record C1Intersect at road Ra、C2Intersect at road Rd、…、CnIntersect at road Ry
4. establish high-precision track group and traditional road matching relationship.
4.1) the head end connecting line A of high-precision track group A is obtained1And tail end connecting line A2B1, it is obtained according to step 3 Set of records ends finds track group connecting line A respectively1、A2B1Intersecting road as shown in figure 11, is recorded as road set { R1, R1}.Establish high-precision track group A and road R1Matching relationship.Road set is also likely to be a plurality of different road, is such as schemed Shown in 11, track group B and road R1、R2、R3Establish matching relationship.
4.2) step 4.1 is repeated, travels through all high-precision track groups, calculates all high-precision tracks group and road Matching relationship.
4.3) if there is there is high-precision track group that cannot match with any road, attempt to find its adjoining track group The matched road of institute.Such case is present in offline unseparated situation on traditional road, and as shown in figure 12, track group B can be just It cannot can often be believed with road R matchings, track group A with any path adaptation by the matching of the adjoining track group B of track group A Breath establishes the matching relationship of track group A and road R.
On the other hand the embodiment of the present invention provides the coalignment of a kind of high-precision track group and traditional road, such as Figure 13 institutes Show, including:
Data acquisition module, for obtaining the vector quantization data of a plurality of track group connecting line and a plurality of biography in high-precision map The vector quantization data of system road;
Gather generation module, for successively mutually shipping a plurality of track group connecting line with a plurality of traditional road It calculates, establishes the corresponding traditional road set intersected with it of track group connecting line described in each item;
Matching relationship filtering module for being filtered to the traditional road set, obtains track group described in each The matched traditional road of connecting line;
Matching relationship generation module for the matching relationship according to track group connecting line and traditional road, establishes high-precision The matching relationship of track group and traditional road.
A plurality of tradition in the vector quantization data of a plurality of track group connecting line and conventional navigation map in the high-precision map The vector quantization data of road include describing the coordinate point data of the track group connection wire shaped and for describing the biography The coordinate point data of system road shape.
The coordinate points data include sphere centre coordinate or projection coordinate.
Complicated mathematical computations dimension can be reduced to plane level by the present invention in the range of trueness error, using simple Line segment and line segment relation, calculate the matching relationship of high-precision track group and traditional road.Algorithm implements simple and practicable, appearance It is readily understood.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and Within principle, any modifications, equivalent replacements and improvements are made should all be included in the protection scope of the present invention.

Claims (10)

1. the matching process of a kind of high-precision track group and traditional road, it is characterised in that:Comprise the following steps:
Step 1, a plurality of biography in the vector quantization data of a plurality of track group connecting line and conventional navigation map is obtained in high-precision map The vector quantization data of system road;
Step 2, a plurality of track group connecting line is intersected into computing with a plurality of traditional road work successively, established described in each item The corresponding traditional road set intersected with it of track group connecting line;
Step 3, the traditional road set is filtered, obtains the matched traditional road of track group connecting line described in each Road;
Step 4, the track group connecting line and the matching relationship of traditional road obtained according to step 3, establish high-precision track group with The matching relationship of traditional road.
2. the matching process of a kind of high-precision track group and traditional road according to claim 1, it is characterised in that:The height In precision map in the vector quantization data of a plurality of track group connecting line and conventional navigation map a plurality of traditional road vector quantization number According to the seat including the coordinate point data for being used to describe the track group connection wire shaped and for describing the traditional road shape Punctuate data.
3. the matching process of a kind of high-precision track group and traditional road according to claim 2, it is characterised in that:The seat Punctuate data include sphere centre coordinate or projection coordinate.
4. the matching process of a kind of high-precision track group and traditional road according to Claims 2 or 3, it is characterised in that:Institute It states in step 2, a plurality of track group connecting line is intersected into computing with a plurality of traditional road work successively, is established described in each item The corresponding traditional road set intersected with it of track group connecting line, comprises the following steps:
Step 201, by road direction of advance, a track group connecting line C for not carrying out intersecting computing is taken successivelyp, obtain the track Two extreme coordinates and line of group connecting line, obtain line segment
Step 202, a traditional road R for not carrying out intersecting computing is takenq, according to the seat for being used to describe traditional road shape Punctuate obtains traditional road RqCoordinate point set:Rq={ P1,P2,...,Pn}q, and according to the coordinate point set, connection Two adjacent coordinate points form line segment, obtain and traditional road RqCorresponding line segment aggregate:{L1,L2,...,Ln-1, wherein,
Li={ Pi,Pi+1} i∈[1,n-1];
Step 203, line segment is judgedWhether with line segment aggregate { L1,L2,...,Ln-1Any one line segment intersection, if intersecting Record CpIntersect at Rq
Step 204, judge whether also exist not with line segmentThe traditional road of intersecting computing is carried out, if jumping to step in the presence of if 202, otherwise perform step 205;
Step 205, judge whether also there is the track group connecting line for not carrying out intersecting computing, if in the presence of jumping to step 201, otherwise terminate intersecting computing, obtain the corresponding traditional road set intersected with it of each track group connecting line.
5. the matching process of a kind of high-precision track group and traditional road according to claim 4, it is characterised in that:The step In rapid 3, the traditional road set is filtered, obtains the matched traditional road of track group connecting line described in each Road comprises the following steps:
Step 301, for the corresponding traditional road set intersected with it of every track group connecting line, if number of elements in set More than 1, then the road attribute of all traditional roads in set is traveled through, retain one and road attribute one where the group connecting line of track The traditional road of cause deletes the other elements in set;
Step 302, repeat step 301, obtain all track group connecting lines and with its one-to-one traditional road.
6. the matching process of a kind of high-precision track group and traditional road according to claim 5, it is characterised in that:The road Road attribute includes the one or more in road number, category of roads, link name, track quantity, road type.
7. according to a kind of high-precision track group of claim 5 or 6 and the matching process of traditional road, it is characterised in that:Institute State in step 4, the track group connecting line and the matching relationship of traditional road obtained according to step 3, establish high-precision track group with The matching relationship of traditional road, including:
The head end track group connecting line of each high-precision track group and tail end track group connecting line in high-precision map are obtained successively, According to head end track group connecting line and the corresponding traditional road of tail end track group connecting line, high-precision track group and traditional road are established The matching relationship on road.
8. the coalignment of a kind of high-precision track group and traditional road, it is characterised in that:Including
Data acquisition module, for obtaining in high-precision map the vector quantization data of a plurality of track group connecting line and conventional navigation The vector quantization data of a plurality of traditional road in figure;
Gather generation module, for a plurality of track group connecting line to be intersected computing with a plurality of traditional road work successively, Establish the corresponding traditional road set intersected with it of track group connecting line described in each item;
Matching relationship filtering module for being filtered to the traditional road set, obtains group connection in track described in each The traditional road of lines matching;
Matching relationship generation module for the matching relationship according to track group connecting line and traditional road, establishes high-precision track Group and the matching relationship of traditional road.
9. the coalignment of a kind of high-precision track group and traditional road according to claim 7, it is characterised in that:The height In precision map in the vector quantization data of a plurality of track group connecting line and conventional navigation map a plurality of traditional road vector quantization number According to the seat including the coordinate point data for being used to describe the track group connection wire shaped and for describing the traditional road shape Punctuate data.
10. the matching process of a kind of high-precision track group and traditional road according to claim 8, it is characterised in that:It is described Coordinate points data include sphere centre coordinate or projection coordinate.
CN201711163391.9A 2017-11-21 2017-11-21 Method and device for matching high-precision lane group with traditional road Active CN108088448B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711163391.9A CN108088448B (en) 2017-11-21 2017-11-21 Method and device for matching high-precision lane group with traditional road

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711163391.9A CN108088448B (en) 2017-11-21 2017-11-21 Method and device for matching high-precision lane group with traditional road

Publications (2)

Publication Number Publication Date
CN108088448A true CN108088448A (en) 2018-05-29
CN108088448B CN108088448B (en) 2020-04-21

Family

ID=62172333

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711163391.9A Active CN108088448B (en) 2017-11-21 2017-11-21 Method and device for matching high-precision lane group with traditional road

Country Status (1)

Country Link
CN (1) CN108088448B (en)

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108871368A (en) * 2018-08-06 2018-11-23 武汉中海庭数据技术有限公司 Construction method, system and the memory of a kind of high-precision map lane transverse direction topological relation
CN109631916A (en) * 2018-10-31 2019-04-16 百度在线网络技术(北京)有限公司 Ground drawing generating method, device, equipment and storage medium
CN109631873A (en) * 2018-11-01 2019-04-16 百度在线网络技术(北京)有限公司 Road generation method, device and the readable storage medium storing program for executing of high-precision map
CN109635066A (en) * 2018-12-14 2019-04-16 广东星舆科技有限公司 A kind of generation method, memory and the system of map symbol graticule
CN109798903A (en) * 2018-12-19 2019-05-24 广州文远知行科技有限公司 A kind of method and device obtaining road information from map datum
CN110763242A (en) * 2018-07-25 2020-02-07 易图通科技(北京)有限公司 High-precision map and two-dimensional map matching method and device and electronic equipment
CN111238505A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Road segment drawing method, device and related system of road map
CN111238502A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Road map generation method, device and related system
CN111238500A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Map generation method, device and system for road segments of road map area
CN111238497A (en) * 2018-11-29 2020-06-05 华为技术有限公司 High-precision map construction method and device
CN111238499A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Road map generation method and device and related system
CN111238498A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Lane-level display road map generation method and device and related system
CN111238503A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Road segment map generation method, device and related system
CN111696170A (en) * 2020-06-05 2020-09-22 百度在线网络技术(北京)有限公司 Map drawing method, map drawing device, map drawing equipment and map drawing medium
WO2021017723A1 (en) * 2019-08-01 2021-02-04 华为技术有限公司 Cooperative vehicle-infrastructure method and device
CN112418035A (en) * 2020-11-12 2021-02-26 武汉光庭信息技术股份有限公司 Automatic evaluation method and system for medium-precision map data
CN112857375A (en) * 2019-11-28 2021-05-28 阿里巴巴集团控股有限公司 Road matching method, device and system
CN113157843A (en) * 2021-04-21 2021-07-23 天时地理(深圳)智能科技有限公司 Geographic spatial data management method based on spatial gridding index
CN113280824A (en) * 2020-02-20 2021-08-20 北京四维图新科技股份有限公司 High-precision map and standard map association method and equipment
EP3869485A4 (en) * 2018-10-15 2022-04-06 Mitsubishi Electric Corporation Lane link generation device, lane link generation program, and lane link generation method
CN116630447A (en) * 2023-07-24 2023-08-22 成都海风锐智科技有限责任公司 Weather prediction method based on image processing

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11272165A (en) * 1998-03-19 1999-10-08 Buyodo Seisanbu:Kk Method for eliminating discontinuity of plural map sheets and plural continued map sheets
US5991427A (en) * 1996-07-31 1999-11-23 Aisin Seiki Kabushiki Kaisha Method and apparatus for detecting a lane on a road
CN102102992A (en) * 2009-12-22 2011-06-22 山东省计算中心 Multistage network division-based preliminary screening method for matched roads and map matching system
CN105043403A (en) * 2015-08-13 2015-11-11 武汉光庭信息技术有限公司 High precision map path planning system and method
CN106203278A (en) * 2016-06-28 2016-12-07 中国人民解放军信息工程大学 A kind of extract the method and device of two-track road on map
CN106886604A (en) * 2017-03-03 2017-06-23 东南大学 A kind of intersection road net model suitable for track level navigator fix

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5991427A (en) * 1996-07-31 1999-11-23 Aisin Seiki Kabushiki Kaisha Method and apparatus for detecting a lane on a road
JPH11272165A (en) * 1998-03-19 1999-10-08 Buyodo Seisanbu:Kk Method for eliminating discontinuity of plural map sheets and plural continued map sheets
CN102102992A (en) * 2009-12-22 2011-06-22 山东省计算中心 Multistage network division-based preliminary screening method for matched roads and map matching system
CN105043403A (en) * 2015-08-13 2015-11-11 武汉光庭信息技术有限公司 High precision map path planning system and method
CN106203278A (en) * 2016-06-28 2016-12-07 中国人民解放军信息工程大学 A kind of extract the method and device of two-track road on map
CN106886604A (en) * 2017-03-03 2017-06-23 东南大学 A kind of intersection road net model suitable for track level navigator fix

Cited By (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110763242A (en) * 2018-07-25 2020-02-07 易图通科技(北京)有限公司 High-precision map and two-dimensional map matching method and device and electronic equipment
CN110763242B (en) * 2018-07-25 2021-06-11 易图通科技(北京)有限公司 High-precision map and two-dimensional map matching method and device and electronic equipment
CN108871368B (en) * 2018-08-06 2020-12-29 武汉中海庭数据技术有限公司 Method and system for constructing transverse topological relation of high-precision map lane and memory
CN108871368A (en) * 2018-08-06 2018-11-23 武汉中海庭数据技术有限公司 Construction method, system and the memory of a kind of high-precision map lane transverse direction topological relation
US11182624B2 (en) 2018-08-06 2021-11-23 Wuhhan Kotel Big Date Corporation Method, system and memory for constructing transverse topological relationship of lanes in high-definition map
EP3869485A4 (en) * 2018-10-15 2022-04-06 Mitsubishi Electric Corporation Lane link generation device, lane link generation program, and lane link generation method
CN109631916A (en) * 2018-10-31 2019-04-16 百度在线网络技术(北京)有限公司 Ground drawing generating method, device, equipment and storage medium
CN109631873A (en) * 2018-11-01 2019-04-16 百度在线网络技术(北京)有限公司 Road generation method, device and the readable storage medium storing program for executing of high-precision map
CN111238500B (en) * 2018-11-29 2022-07-26 沈阳美行科技股份有限公司 Map generation method, device and system for road segments of road map area
CN111238499B (en) * 2018-11-29 2023-04-07 沈阳美行科技股份有限公司 Road map generation method and device and related system
CN111238499A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Road map generation method and device and related system
CN111238498A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Lane-level display road map generation method and device and related system
CN111238503A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Road segment map generation method, device and related system
US11933627B2 (en) 2018-11-29 2024-03-19 Huawei Technologies Co., Ltd. High-definition map building method and apparatus
CN111238500A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Map generation method, device and system for road segments of road map area
CN111238497A (en) * 2018-11-29 2020-06-05 华为技术有限公司 High-precision map construction method and device
CN111238505B (en) * 2018-11-29 2023-11-24 沈阳美行科技股份有限公司 Road line segment drawing method, device and related system of road map
CN111238497B (en) * 2018-11-29 2022-05-06 华为技术有限公司 High-precision map construction method and device
CN111238498B (en) * 2018-11-29 2023-09-29 沈阳美行科技股份有限公司 Road map generation method, device and related system for lane-level display
CN111238502A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Road map generation method, device and related system
CN111238502B (en) * 2018-11-29 2023-09-29 沈阳美行科技股份有限公司 Road map generation method, device and related system
EP3869157A4 (en) * 2018-11-29 2022-04-27 Huawei Technologies Co., Ltd. Method and device for constructing high-resolution map
CN111238505A (en) * 2018-11-29 2020-06-05 沈阳美行科技有限公司 Road segment drawing method, device and related system of road map
CN111238503B (en) * 2018-11-29 2022-12-02 沈阳美行科技股份有限公司 Map generation method, device and related system for road segments
CN109635066A (en) * 2018-12-14 2019-04-16 广东星舆科技有限公司 A kind of generation method, memory and the system of map symbol graticule
CN109798903A (en) * 2018-12-19 2019-05-24 广州文远知行科技有限公司 A kind of method and device obtaining road information from map datum
CN109798903B (en) * 2018-12-19 2021-03-30 广州文远知行科技有限公司 Method and device for acquiring road information from map data
WO2021017723A1 (en) * 2019-08-01 2021-02-04 华为技术有限公司 Cooperative vehicle-infrastructure method and device
CN112857375A (en) * 2019-11-28 2021-05-28 阿里巴巴集团控股有限公司 Road matching method, device and system
CN113280824A (en) * 2020-02-20 2021-08-20 北京四维图新科技股份有限公司 High-precision map and standard map association method and equipment
CN111696170A (en) * 2020-06-05 2020-09-22 百度在线网络技术(北京)有限公司 Map drawing method, map drawing device, map drawing equipment and map drawing medium
CN112418035A (en) * 2020-11-12 2021-02-26 武汉光庭信息技术股份有限公司 Automatic evaluation method and system for medium-precision map data
CN113157843B (en) * 2021-04-21 2022-03-22 天时地理(深圳)智能科技有限公司 Geographic spatial data management method based on spatial gridding index
CN113157843A (en) * 2021-04-21 2021-07-23 天时地理(深圳)智能科技有限公司 Geographic spatial data management method based on spatial gridding index
CN116630447A (en) * 2023-07-24 2023-08-22 成都海风锐智科技有限责任公司 Weather prediction method based on image processing
CN116630447B (en) * 2023-07-24 2023-10-20 成都海风锐智科技有限责任公司 Weather prediction method based on image processing

Also Published As

Publication number Publication date
CN108088448B (en) 2020-04-21

Similar Documents

Publication Publication Date Title
CN108088448A (en) The matching process and device of a kind of high-precision track group and traditional road
CN109186617A (en) A kind of view-based access control model crowdsourcing data automatically generate method, system and the memory of lane grade topological relation
CN108871368B (en) Method and system for constructing transverse topological relation of high-precision map lane and memory
CN104899357B (en) A kind of topological data extracting method based on AutoCAD level-crossing engineering drawings
CN109163730B (en) High-precision map data gridding management method and device for automatic driving
CN106840176B (en) GPS time-space data increment road network real-time updating and track matching system
CN109059944B (en) Motion planning method based on driving habit learning
CN110633342B (en) Lane topology network generation method
CN110715671B (en) Three-dimensional map generation method and device, vehicle navigation equipment and unmanned vehicle
CN113155139B (en) Vehicle track deviation rectifying method and device and electronic equipment
CN110207716B (en) Reference driving line rapid generation method, system, terminal and storage medium
CN110287904A (en) A kind of lane line extracting method, device and storage medium based on crowdsourcing data
CN109084798A (en) Network issues the paths planning method at the control point with road attribute
CN110906940B (en) Lane sideline aggregation method based on track direction
CN109256028A (en) A method of it is automatically generated for unpiloted high-precision road network
CN111443730B (en) Unmanned aerial vehicle track automatic generation method and device for power transmission line inspection
CN109214314B (en) Automatic fusion matching algorithm for lane lines
CN106871902A (en) A kind of method of Navigation of Pilotless Aircraft, device and system
CN109443357B (en) Method for calculating optimal path between obstacles based on full convex hull expansion algorithm
CN108801289A (en) Induce arrow planing method, device, navigation system and storage medium
CN108389502A (en) A kind of method and device for drawing traffic network
CN109871016A (en) A kind of steered reference line generation method, device, vehicle and server
CN110530392A (en) A kind of paths planning method and device combined based on traditional map and high-precision map
CN109101743A (en) A kind of construction method of high-precision road net model
CN111858810A (en) Modeling elevation point screening method for road DEM construction

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
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A matching method and device between high-precision Lane Group and traditional road

Effective date of registration: 20210909

Granted publication date: 20200421

Pledgee: Wuhan Jiangxia sub branch of Bank of Communications Co., Ltd

Pledgor: WUHHAN KOTEL BIG DATE Corp.

Registration number: Y2021980009115