CN107167815A - The automatic creation system and method for a kind of highway road surface line number evidence - Google Patents
The automatic creation system and method for a kind of highway road surface line number evidence Download PDFInfo
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- 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
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
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Abstract
The invention provides a kind of automatic creation system of road surface line number evidence and method, wherein system includes:Laser radar, the laser radar is used for the cloud data for obtaining above-ground route;Data handling system, the data handling system is used for the cloud data of above-mentioned acquisition, and the ground noodles point in cloud data carries out data modeling and elevation interpolation obtains above-ground route;Check and editing system, the inspection and editing system are used to be drawn the above-ground route of the acquisition in visualized graphs environment, by being superimposed LiDAR point cloud and DOM data, visual inspection and editor are carried out to the above-ground route of generation, the system of the present invention can be designed the fast automatic extraction of above-ground route, and realize that lidar measurement is integrated with construction of the highway G- Design;In the more areas of structure, the above-ground route of system generation compare digital-to-analogue interpolation method for, more accurately reflect the real earth's surface information of microrelief.
Description
Technical field
The present invention relates to survey field, and in particular to automatic creation system and side to a kind of highway road surface line number evidence
Method.
Background technology
Obtain that above-ground route information efficiency is low, precision is low in current highway survey and design.The method of current main flow is using complete
The first setting-out of instrument or the real-time requiring technology (rael-time kinematic, RTK) of standing goes out middle stake, then recycles RTK to measure
The elevation in each cross section.However, this mode is measured using single-contact, cause its operating speed slower, simultaneously because surveying
The limitation of the natural conditions such as weather, traffic and landform degree of difficulty in region is surveyed, it is not high to easily cause surveying and mapping result precision, work
Phase is difficult to ensure that, surveys the adverse consequences of added cost.
The content of the invention
In order to solve the above technical problems, the invention provides a kind of automatic creation system of road surface line number evidence and side
Method, system of the invention can be designed the fast automatic extraction of above-ground route, improve the efficiency of Highway Investigation Design, save outer
Industry measurement cost, and realize that lidar measurement is integrated with construction of the highway G- Design.
The invention provides a kind of automatic creation system of road surface line number evidence, including:
Laser radar, the laser radar is used for the cloud data for obtaining above-ground route;
Data handling system, the data handling system is used for the cloud data of above-mentioned acquisition, and according to
Ground noodles point in cloud data carries out data modeling and elevation interpolation obtains above-ground route;
Check and editing system, the inspection and editing system are used for the above-ground route of the acquisition in visualized graphs ring
Drawn in border, by being superimposed LiDAR point cloud and DOM data, visual inspection and editor are carried out to the above-ground route of generation, most
Throughout one's life data Layer, service layer and client layer are connected with into above-ground route data, the inspection and editing system.
Above-mentioned generation system, wherein, the cloud data that the laser radar is used to obtain above-ground route includes:Determine route
Scheme, the determination route plan is expressed by several coordinate of mid-peg points;
The center line of each circuit is generated according to above-mentioned coordinate of mid-peg, is generated along the direction of advance of route by corresponding interval
Perpendicular to the rectangle grid of route.
Above-mentioned generation system, wherein, the data handling system is used for the cloud data of above-mentioned acquisition, with
And the ground noodles point in cloud data carries out data modeling and elevation interpolation obtains above-ground route and included:
The hatching line of above-ground route is generated according to the coordinate of mid-peg of offer, threshold value T1 is set, cross section hatching line plane separation is extracted
From laser spots after the classification less than T1, and it is used as the alternative point of generation above-ground route.
Above-mentioned generation system, wherein, the ground noodles point in cloud data is carried out in data modeling and elevation
Inserting acquisition above-ground route includes:
It will extract to cross section hatching line plan range and be less than laser spots in the range of T1 earthward line section in the plane
Line makees vertical line, according to the size given threshold T2 (T2 of vertical line distance<T1), by the point to hatching distance in the range of T2, with
The plan-position of intersection point point and the elevation of laser spots generate initial above-ground route as the point on above-ground route;
Look for pressing on initial above-ground route above-ground route direction sequencing and be scanned, if finding empty large area,
Projected to and be filled on above-ground route hatching by the ground point to hatching distance in [T2, T1], its elevation is then by surrounding
The ground point modeling interpolation extracted, conventional 3-dimensional digital ground model has Triangulated irregular network model and grid model, adopted
Terrain modeling is carried out to the ground point near each above-ground route respectively with Triangulation Network Model, it is high to carry out point according to triangulation network interpolation method
The interpolation of journey, finally output design above-ground route.
Above-mentioned generation system, wherein, the data Layer includes the LiDAR point cloud number that airborne LiDAR system acquisitions are obtained
According to DOM data, and the middle stake information data that design is wanted;The service layer on visual graphic platform, for
Family provides point cloud classifications processing, data reduction processing, above-ground route generation and simplifies service;Client layer is by data interaction and ginseng
Number sets the data for calling the various functions of service layer and service to come in processing data layer, and is intuitively shown in view window.
Above-mentioned generation system, wherein, the inspection and editing system also by above-ground route data and LiDAR point cloud data and
DOM data are directly overlapped display, and then make further check to the above-ground route data of generation by a cloud and DOM images
And editing, and then generate the more accurate above-ground route data for more meeting real surface.
A kind of another side of the present invention, automatic generation method of road surface line number evidence comprises the following steps:
The cloud data of above-ground route is obtained based on laser radar;
The cloud data of above-mentioned acquisition is handled;
Ground noodles point in cloud data carries out data modeling and elevation interpolation obtains above-ground route;
The above-ground route of the acquisition is drawn in visualized graphs environment, by being superimposed LiDAR point cloud and DOM numbers
According to carrying out visual inspection and editor to the above-ground route of generation, ultimately generate above-ground route data.
Above-mentioned method, wherein, it is described based on laser radar obtain above-ground route cloud data the step of include:
Route plan is determined, the determination route plan is expressed by several coordinate of mid-peg points;
The center line of each circuit is generated according to above-mentioned coordinate of mid-peg, is generated along the direction of advance of route by corresponding interval
Perpendicular to the rectangle grid of route.
Above-mentioned method, wherein, the step of cloud data to above-mentioned acquisition is handled includes:
The hatching line of above-ground route is generated according to the coordinate of mid-peg of offer, threshold value T1 is set, cross section hatching line plane separation is extracted
From laser spots after the classification less than T1, and it is used as the alternative point of generation above-ground route.
Above-mentioned method, wherein, the ground noodles point in cloud data carries out data modeling and elevation interpolation is obtained
The step of obtaining above-ground route includes:
It will extract to cross section hatching line plan range and be less than laser spots in the range of T1 earthward line section in the plane
Line makees vertical line, according to the size given threshold T2 (T2 of vertical line distance<T1), by the point to hatching distance in the range of T2, with
The plan-position of intersection point point and the elevation of laser spots generate initial above-ground route as the point on above-ground route;
Look for pressing on initial above-ground route above-ground route direction sequencing and be scanned, if finding empty large area,
Projected to and be filled on above-ground route hatching by the ground point to hatching distance in [T2, T1], its elevation is then by surrounding
The ground point modeling interpolation extracted, conventional 3-dimensional digital ground model has Triangulated irregular network model and grid model, adopted
Terrain modeling is carried out to the ground point near each above-ground route respectively with Triangulation Network Model, it is high to carry out point according to triangulation network interpolation method
The interpolation of journey, finally output design above-ground route.
The present invention has advantages below:
1st, system of the invention can be designed the fast automatic extraction of above-ground route, improve the effect of Highway Investigation Design
Rate, saves field operation measurement cost, and realize that lidar measurement is integrated with construction of the highway G- Design;It is relatively more in structure
Area, the system generation above-ground route compare digital-to-analogue interpolation method for, more accurately reflect microrelief real
Earth's surface information;The system generates the alternative artificial actual measurement of method of section above-ground route, and this article method generates 23550 sections and examined
Looking into only needs 1~2h, and one people of fieldwork can only measure 40 sections for one day, and efficiency is greatly improved;Difficult complicated
Area, utilizes ground of the conventional method needed for it still can not accurately gather Road Design in the case of spending a large amount of human and material resources
Table information, and the system can overcome the influence of dense vegetation based on high-precision LiDAR data, accurate obtain meets highway
Reorganization and expansion close mapping and the earth's surface information of construction drawing design requirement.
Brief description of the drawings
By reading the detailed description made with reference to the following drawings to non-limiting example, the present invention and its feature, outside
Shape and advantage will become more apparent upon.Identical mark indicates identical part in whole accompanying drawings.Not deliberately proportionally
Draw accompanying drawing, it is preferred that emphasis is the purport of the present invention is shown.
A kind of structured flowchart of the automatic creation system for road surface line number evidence that Fig. 1 provides for the present invention.
A kind of schematic flow sheet of the automatic generation method for road surface line number evidence that Fig. 2 provides for the present invention.
Embodiment
In the following description, a large amount of concrete details are given to provide more thorough understanding of the invention.So
And, it is obvious to the skilled person that the present invention can be able to without one or more of these details
Implement.In other examples, in order to avoid obscuring with the present invention, do not enter for some technical characteristics well known in the art
Row description.
In order to thoroughly understand the present invention, detailed step and detailed structure will be proposed in following description, so as to
Explain technical scheme.Presently preferred embodiments of the present invention is described in detail as follows, but in addition to these detailed descriptions, this
Invention can also have other embodiment.
Shown in reference picture 1- Fig. 2, the invention provides a kind of automatic creation system of road surface line number evidence, including:
Laser radar, the laser radar is used for the cloud data for obtaining above-ground route, including:Determine route plan,
The determination route plan is expressed by several coordinate of mid-peg points;Each circuit is generated according to above-mentioned coordinate of mid-peg
Center line, rectangle grid of the corresponding interval generation perpendicular to route is pressed along the direction of advance of route, further, when user carries out sky
Between when inquiring about, except that can be inquired about according to the coordinate and scope of point, can also be inquired about by pile No., be follow-up work
The rapid extraction of middle laser point cloud data provides basis.
Data handling system, the data handling system is used for the cloud data of above-mentioned acquisition, and according to
Ground noodles point in cloud data carries out data modeling and elevation interpolation obtains above-ground route, that is to say, that due to LiDAR point cloud number
According to density is big, precision is high the features such as, the ground point that ground line morphology can be directly around above-ground route is expressed, point cloud carry
Take on the basis of point cloud after sorting, according to the hatching line of the coordinate of mid-peg file generated above-ground route of offer, threshold value T1 is set, extracted
It is less than laser spots after T1 classification to cross section hatching line plan range, and is used as the alternative point of generation above-ground route.
Further, the ground noodles point in cloud data carries out data modeling and elevation interpolation obtains above-ground route, specifically
Including:Will extract to cross section hatching line plan range be less than T1 in the range of laser spots in the plane earthward line hatching make
Vertical line, according to the size given threshold T2 (T2 of vertical line distance<T1), by the point to hatching distance in the range of T2, with intersection point
The plan-position of point and the elevation of laser spots generate initial above-ground route as the point on above-ground route;
Look for pressing on initial above-ground route above-ground route direction sequencing and be scanned, if finding empty large area,
Projected to and be filled on above-ground route hatching by the ground point to hatching distance in [T2, T1], its elevation is then by surrounding
The ground point modeling interpolation extracted, conventional 3-dimensional digital ground model has Triangulated irregular network model and grid model, adopted
Terrain modeling is carried out to the ground point near each above-ground route respectively with Triangulation Network Model, it is high to carry out point according to triangulation network interpolation method
The interpolation of journey, finally output design above-ground route.
Check and editing system, the inspection and editing system are used for the above-ground route of the acquisition in visualized graphs ring
Drawn in border, by being superimposed LiDAR point cloud and DOM data, visual inspection and editor are carried out to the above-ground route of generation, most
Throughout one's life into above-ground route data, including:The design object of above-ground route automatic extracting system is by making full use of LiDAR point cloud
Data high accuracy, highdensity feature, realization quickly automatically extract above-ground route, and can be in visible environment to above-ground route data
Carry out quick inspection and freely edit.According to the target of system design, system is divided into data Layer, service layer and client layer, entered
Preferably, data Layer is mainly includes LiDAR point cloud data and DOM data that airborne LiDAR system acquisitions are obtained to one step, Yi Jishe
The data such as the middle stake information required for meter;Service layer is main on visual graphic platform, provides the user at point cloud classifications
Reason, data reduction processing, above-ground route generation and simplify etc. service;Client layer is mainly adjusted by data interaction and parameter setting etc.
With the various functions and service of service layer come the data in processing data layer, and intuitively shown in view window.
In an of the invention preferred but unrestricted embodiment, the inspection and editing system also by above-ground route data and
LiDAR point cloud data and DOM data are directly overlapped display, and then pass through the ground line number of a cloud and DOM images to generation
Checked and editing according to work is further, and then generate the more accurate above-ground route data for more meeting real surface, and this hair
It is bright the above-ground route of any middle stake any direction to be acquired, according to the demand of actual design in parameter setting, it is configured
The scope and width of upper thread collection, and sorted cloud data is extracted according to the ground hatching of generation, obtain standby
Reconnaissance data, further preferably, according to the alternative point data extracted, the system can further fast automatic generation ground line number
According to its above-ground route achievement exported is mainly text formatting and represented, utilizes the data-interface of MicroStation platforms, the system
Also above-ground route data and LiDAR point cloud data and DOM data display be can be directly overlapped, and then a cloud and DOM shadows passed through
As the above-ground route data to generation make further inspection and editing, and then the more accurate ground for more meeting real surface of generation
Upper thread data.
A kind of another side of the present invention, automatic generation method of road surface line number evidence comprises the following steps:
Step S1:The cloud data of above-ground route is obtained based on laser radar, including:Route plan is determined, it is described true
Fixed line scheme is expressed by several coordinate of mid-peg points;The center line of each circuit is generated according to above-mentioned coordinate of mid-peg,
Further, looked into along the direction of advance of route by corresponding interval generation perpendicular to the rectangle grid of route when user carries out space
It during inquiry, except that can be inquired about according to the coordinate and scope of point, can also be inquired about by pile No., be to swash in follow-up work
The rapid extraction of light cloud data provides basis.
Step S2:The cloud data of above-mentioned acquisition is handled, including:Generate ground according to the coordinate of mid-peg of offer
The hatching line of upper thread, sets threshold value T1, extracts laser spots after classification of the cross section hatching line plan range less than T1, and be used as generation
The alternative point of above-ground route, that is to say, that because LiDAR point cloud data have the features such as density is big, precision is high, ground line morphology can
Ground point directly around above-ground route is expressed, and data reduction is put on the basis of cloud after sorting, according to the middle stake of offer
Coordinate file generates the hatching line of above-ground route, sets threshold value T1, swashs after extracting classification of the cross section hatching line plan range less than T1
Luminous point, and it is used as the alternative point of generation above-ground route.
Step S3:Ground noodles point in cloud data carries out data modeling and elevation interpolation obtains above-ground route, specifically
Including:Will extract to cross section hatching line plan range be less than T1 in the range of laser spots in the plane earthward line hatching make
Vertical line, according to the size given threshold T2 (T2 of vertical line distance<T1), by the point to hatching distance in the range of T2, with intersection point
The plan-position of point and the elevation of laser spots generate initial above-ground route as the point on above-ground route;
Look for pressing on initial above-ground route above-ground route direction sequencing and be scanned, if finding empty large area,
Projected to and be filled on above-ground route hatching by the ground point to hatching distance in [T2, T1], its elevation is then by surrounding
The ground point modeling interpolation extracted, conventional 3-dimensional digital ground model has Triangulated irregular network model and grid model, adopted
Terrain modeling is carried out to the ground point near each above-ground route respectively with Triangulation Network Model, it is high to carry out point according to triangulation network interpolation method
The interpolation of journey, finally output design above-ground route.
Step S4:The above-ground route of the acquisition is drawn in visualized graphs environment, by being superimposed LiDAR point cloud
With DOM data, visual inspection and editor are carried out to the above-ground route of generation, above-ground route data are ultimately generated, including:Ground
The design object of line automatic extracting system is by making full use of LiDAR point cloud data high accuracy, highdensity feature, realizing fast
Fast automatically extracts above-ground route, and in visible environment above-ground route data can be carried out with quick inspection and freely edited.According to being
The target for design of uniting, is divided into data Layer, service layer and client layer by system, further preferably, and data Layer mainly includes airborne
LiDAR point cloud data and DOM data that LiDAR system acquisitions are obtained, and the data such as the middle stake information wanted of design;Service
Layer is main on visual graphic platform, provides the user point cloud classifications processing, data reduction processing, above-ground route generation and letter
The service such as change;Client layer is mainly calls the various functions of service layer and service to handle by data interaction and parameter setting etc.
Data in data Layer, and intuitively shown in view window.
A specific embodiment is enumerated according to the present invention:
By taking the Expressway Extension Project of Liuzhou to Nanning as an example, in the 10km sections of vegetative coverage especially severe point
Not Li Yong the software and digital-to-analogue interpolation generate two groups of above-ground routes, and fieldwork inspection is carried out, by two groups of sections and fieldwork
Section is contrasted, and the design above-ground route precision of information of the Software Create is improved significantly, and generation section qualification rate is also up to
99.6%, fully meet the requirement of highway reconstruction and expansion survey and design close mapping and construction drawing design;Pass through comparative analysis, present invention system
System, which automatically extracts design above-ground route data, has advantages below:
1) precision is high.In the more areas of structure, the above-ground route of system generation compares the method for digital-to-analogue interpolation
For, more accurately reflect the real earth's surface information of microrelief.
2) efficiency high.This method generates the alternative artificial actual measurement of method of section above-ground route, this article method generation 23 550
Individual section simultaneously checks and only needs 1~2h, and one people of fieldwork can only measure 40 sections for one day, and efficiency is greatly improved.
3), still can not be accurate in the case where spending a large amount of human and material resources using conventional method in difficult complex area
The earth's surface information needed for Road Design is gathered, and this method can overcome the influence of dense vegetation based on high-precision LiDAR data,
Accurate obtain meets highway extension project close mapping and the earth's surface information of construction drawing design requirement.
Presently preferred embodiments of the present invention is described above.It is to be appreciated that the invention is not limited in above-mentioned
Particular implementation, wherein the equipment and structure be not described in detail to the greatest extent are construed as giving reality with the common mode in this area
Apply;Any those skilled in the art, without departing from the scope of the technical proposal of the invention, all using the disclosure above
Methods and techniques content make many possible variations and modification to technical solution of the present invention, or be revised as equivalent variations etc.
Embodiment is imitated, this has no effect on the substantive content of the present invention.Therefore, every content without departing from technical solution of the present invention, foundation
The technical spirit of the present invention still falls within the present invention to any simple modifications, equivalents, and modifications made for any of the above embodiments
In the range of technical scheme protection.
Claims (10)
1. a kind of automatic creation system of road surface line number evidence, it is characterised in that including:
Laser radar, the laser radar is used for the cloud data for obtaining above-ground route;
Data handling system, the data handling system is used for the cloud data of above-mentioned acquisition, and according to a cloud
Ground noodles point in data carries out data modeling and elevation interpolation obtains above-ground route;
Check and editing system, the inspection and editing system are used for the above-ground route of the acquisition in visualized graphs environment
Drawn, by being superimposed LiDAR point cloud and DOM data, visual inspection and editor are carried out to the above-ground route of generation, most throughout one's life
Into above-ground route data, the inspection and editing system are connected with data Layer, service layer and client layer.
2. a kind of automatic creation system of road surface line number evidence as claimed in claim 1, it is characterised in that the laser thunder
Include up to the cloud data for obtaining above-ground route:
Route plan is determined, the determination route plan is expressed by several coordinate of mid-peg points;
The center line of each circuit is generated according to above-mentioned coordinate of mid-peg, it is vertical by corresponding interval generation along the direction of advance of route
In the rectangle grid of route.
3. a kind of automatic creation system of road surface line number evidence as claimed in claim 2, it is characterised in that at the data
Reason system is used for the cloud data of above-mentioned acquisition, and the ground noodles point in cloud data carries out data modeling
Obtaining above-ground route with elevation interpolation includes:
The hatching line of above-ground route is generated according to the coordinate of mid-peg of offer, threshold value T1 is set, cross section hatching line plan range is extracted small
In laser spots after T1 classification, and it is used as the alternative point of generation above-ground route.
4. a kind of automatic creation system of road surface line number evidence as claimed in claim 3, it is characterised in that described according to point
Ground noodles point in cloud data carries out data modeling and elevation interpolation obtains above-ground route and included:
Will extract to cross section hatching line plan range be less than T1 in the range of laser spots in the plane earthward line hatching make
Vertical line, according to the size given threshold T2 (T2 of vertical line distance<T1), by the point to hatching distance in the range of T2, with intersection point
The plan-position of point and the elevation of laser spots generate initial above-ground route as the point on above-ground route;
Look for pressing on initial above-ground route above-ground route direction sequencing and be scanned, if finding empty large area, by
Ground point of the hatching distance in [T2, T1] is projected to be filled on above-ground route hatching, and its elevation is then extracted by around
The ground point modeling interpolation gone out, conventional 3-dimensional digital ground model has Triangulated irregular network model and grid model, using three
Angle pessimistic concurrency control carries out terrain modeling to the ground point near each above-ground route respectively, and point height is carried out according to triangulation network interpolation method
Interpolation, finally output design above-ground route.
5. a kind of automatic creation system of road surface line number evidence as claimed in claim 4, it is characterised in that the data Layer
The LiDAR point cloud data and DOM data obtained including airborne LiDAR system acquisitions, and the middle stake Information Number that design is wanted
According to;The service layer provides the user point cloud classifications processing, data reduction processing, above-ground route on visual graphic platform
Generation and simplified service;Client layer is to call the various functions of service layer and service to handle by data interaction and parameter setting
Data in data Layer, and intuitively shown in view window.
6. a kind of automatic creation system of road surface line number evidence as described in claim any one of 1-5, it is characterised in that institute
State inspection and editing system and above-ground route data and LiDAR point cloud data and DOM data are directly also overlapped display, Jin Ertong
Cross some clouds and DOM images and further inspection and editing are made to the above-ground route data of generation, and then generation is more accurately more accorded with
Close the above-ground route data of real surface.
7. a kind of automatic generation method of road surface line number evidence, it is characterised in that comprise the following steps:
The cloud data of above-ground route is obtained based on laser radar;
The cloud data of above-mentioned acquisition is handled;
Ground noodles point in cloud data carries out data modeling and elevation interpolation obtains above-ground route;
The above-ground route of the acquisition is drawn in visualized graphs environment, by being superimposed LiDAR point cloud and DOM data,
Visual inspection and editor are carried out to the above-ground route of generation, above-ground route data are ultimately generated.
8. a kind of automatic generation method of road surface line number evidence as claimed in claim 7, it is characterised in that described based on sharp
The step of optical radar obtains the cloud data of above-ground route includes:
Route plan is determined, the determination route plan is expressed by several coordinate of mid-peg points;
The center line of each circuit is generated according to above-mentioned coordinate of mid-peg, it is vertical by corresponding interval generation along the direction of advance of route
In the rectangle grid of route.
9. a kind of automatic generation method of road surface line number evidence as claimed in claim 8, it is characterised in that described to above-mentioned
The step of cloud data of acquisition is handled includes:
The hatching line of above-ground route is generated according to the coordinate of mid-peg of offer, threshold value T1 is set, cross section hatching line plan range is extracted small
In laser spots after T1 classification, and it is used as the alternative point of generation above-ground route.
10. a kind of automatic generation method of road surface line number evidence as claimed in claim 9, it is characterised in that the basis
The step of ground noodles point in cloud data carries out data modeling and elevation interpolation acquisition above-ground route includes:
Will extract to cross section hatching line plan range be less than T1 in the range of laser spots in the plane earthward line hatching make
Vertical line, according to the size given threshold T2 (T2 of vertical line distance<T1), by the point to hatching distance in the range of T2, with intersection point
The plan-position of point and the elevation of laser spots generate initial above-ground route as the point on above-ground route;
Look for pressing on initial above-ground route above-ground route direction sequencing and be scanned, if finding empty large area, by
Ground point of the hatching distance in [T2, T1] is projected to be filled on above-ground route hatching, and its elevation is then extracted by around
The ground point modeling interpolation gone out, conventional 3-dimensional digital ground model has Triangulated irregular network model and grid model, using three
Angle pessimistic concurrency control carries out terrain modeling to the ground point near each above-ground route respectively, and point height is carried out according to triangulation network interpolation method
Interpolation, finally output design above-ground route.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108898681A (en) * | 2018-06-26 | 2018-11-27 | 中煤航测遥感集团有限公司 | Digital elevation model processing method and processing device |
CN109029347A (en) * | 2018-09-05 | 2018-12-18 | 上海华测导航技术股份有限公司 | The measuring system and method for landslide displacement sedimentation based on Beidou Automatic monitoring systems |
CN109141350A (en) * | 2018-09-05 | 2019-01-04 | 上海华测导航技术股份有限公司 | Beidou high-precision automatic monitoring system for landslide displacement settlement measurement |
CN109633665A (en) * | 2018-12-17 | 2019-04-16 | 北京主线科技有限公司 | The sparse laser point cloud joining method of traffic scene |
CN111105496A (en) * | 2019-12-19 | 2020-05-05 | 昆明能讯科技有限责任公司 | High-precision DEM construction method based on airborne laser radar point cloud data |
CN112630798A (en) * | 2019-09-24 | 2021-04-09 | 北京百度网讯科技有限公司 | Method and apparatus for estimating ground |
CN113610909A (en) * | 2021-09-07 | 2021-11-05 | 中国电建集团昆明勘测设计研究院有限公司 | Point cloud profile generation system and method based on distance search |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB0704368D0 (en) * | 2007-03-07 | 2007-04-11 | Kokkas Nikolaos | Geodata fusion for automated 3D city modelling |
CN101814102A (en) * | 2010-03-16 | 2010-08-25 | 中交第二公路勘察设计研究院有限公司 | Road survey and design method based on high-resolution satellite image |
CN102445186A (en) * | 2011-09-28 | 2012-05-09 | 中交第二公路勘察设计研究院有限公司 | Method for generating road design surface information by laser radar scan |
CN102620721A (en) * | 2012-03-14 | 2012-08-01 | 广东省公路勘察规划设计院股份有限公司 | Fine digital terrain model based road surveying method |
CN102661736A (en) * | 2012-05-17 | 2012-09-12 | 天津市星际空间地理信息工程有限公司 | Highway reorganization and expansion surveying method |
CN103711050A (en) * | 2013-12-31 | 2014-04-09 | 中交第二公路勘察设计研究院有限公司 | Laser radar road reconstruction and expansion exploratory survey design method |
WO2015039375A1 (en) * | 2013-09-17 | 2015-03-26 | 中国科学院深圳先进技术研究院 | Method and system for automatically optimizing quality of point cloud data |
-
2017
- 2017-04-28 CN CN201710291095.0A patent/CN107167815A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB0704368D0 (en) * | 2007-03-07 | 2007-04-11 | Kokkas Nikolaos | Geodata fusion for automated 3D city modelling |
CN101814102A (en) * | 2010-03-16 | 2010-08-25 | 中交第二公路勘察设计研究院有限公司 | Road survey and design method based on high-resolution satellite image |
CN102445186A (en) * | 2011-09-28 | 2012-05-09 | 中交第二公路勘察设计研究院有限公司 | Method for generating road design surface information by laser radar scan |
CN102620721A (en) * | 2012-03-14 | 2012-08-01 | 广东省公路勘察规划设计院股份有限公司 | Fine digital terrain model based road surveying method |
CN102661736A (en) * | 2012-05-17 | 2012-09-12 | 天津市星际空间地理信息工程有限公司 | Highway reorganization and expansion surveying method |
WO2015039375A1 (en) * | 2013-09-17 | 2015-03-26 | 中国科学院深圳先进技术研究院 | Method and system for automatically optimizing quality of point cloud data |
CN103711050A (en) * | 2013-12-31 | 2014-04-09 | 中交第二公路勘察设计研究院有限公司 | Laser radar road reconstruction and expansion exploratory survey design method |
Non-Patent Citations (1)
Title |
---|
岑敏仪: "《高速铁路精密测量理论及测绘新技术应用国际学术研讨会论文集》", 31 August 2010, 西南大学出版社 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108898681A (en) * | 2018-06-26 | 2018-11-27 | 中煤航测遥感集团有限公司 | Digital elevation model processing method and processing device |
CN108898681B (en) * | 2018-06-26 | 2022-07-05 | 中煤航测遥感集团有限公司 | Digital elevation model processing method and device |
CN109029347A (en) * | 2018-09-05 | 2018-12-18 | 上海华测导航技术股份有限公司 | The measuring system and method for landslide displacement sedimentation based on Beidou Automatic monitoring systems |
CN109141350A (en) * | 2018-09-05 | 2019-01-04 | 上海华测导航技术股份有限公司 | Beidou high-precision automatic monitoring system for landslide displacement settlement measurement |
CN109633665A (en) * | 2018-12-17 | 2019-04-16 | 北京主线科技有限公司 | The sparse laser point cloud joining method of traffic scene |
CN112630798A (en) * | 2019-09-24 | 2021-04-09 | 北京百度网讯科技有限公司 | Method and apparatus for estimating ground |
CN112630798B (en) * | 2019-09-24 | 2022-11-29 | 北京百度网讯科技有限公司 | Method and apparatus for estimating ground |
CN111105496A (en) * | 2019-12-19 | 2020-05-05 | 昆明能讯科技有限责任公司 | High-precision DEM construction method based on airborne laser radar point cloud data |
CN113610909A (en) * | 2021-09-07 | 2021-11-05 | 中国电建集团昆明勘测设计研究院有限公司 | Point cloud profile generation system and method based on distance search |
CN113610909B (en) * | 2021-09-07 | 2023-10-20 | 中国电建集团昆明勘测设计研究院有限公司 | Point cloud profile generation system and method based on distance search |
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