CN204946114U - Unmanned plane assists vehicle mounted road to gather 3 d modeling system - Google Patents
Unmanned plane assists vehicle mounted road to gather 3 d modeling system Download PDFInfo
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- CN204946114U CN204946114U CN201520525755.3U CN201520525755U CN204946114U CN 204946114 U CN204946114 U CN 204946114U CN 201520525755 U CN201520525755 U CN 201520525755U CN 204946114 U CN204946114 U CN 204946114U
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Abstract
The utility model discloses a kind of unmanned plane assists vehicle mounted road to gather 3 d modeling system, the problem such as solve existing road collection and 3 d modeling system modeling is not accurate enough, degree of accuracy is not high.This unmanned plane assists vehicle mounted road collection 3 d modeling system to comprise: carrier car; Unmanned plane; Data acquisition system (DAS), data acquisition system (DAS) comprises vehicle-mounted LIDAR, vehicle-mounted SLAM and airborne LIDAR; Data analysis system, puts cloud after obtaining precision optimizing; Vehicle-mounted LIDAR point cloud after precision optimizing, airborne LIDAR point cloud and SLAM data being spliced by merging border, being formed the locating information of integration by data splicing system mutually; Road 3 d modeling system, is undertaken integrated by hillside and tunnel internal module outside road guard, side slope, overline bridge, bridge bottom, tunnel, forms road three-dimensional model.The utility model is based on vehicle-mounted LIDAR, and unmanned plane is auxiliary, and vehicle-mounted LIDAR can realize the comprehensive collection to target road data in conjunction with unmanned plane.
Description
Technical field
The utility model relates to a kind of road collection and 3 d modeling system, specifically, relates to a kind of unmanned plane and assists vehicle mounted road to gather 3 d modeling system.
Background technology
Current road collection and 3 d modeling system, the following two kinds of technical schemes of main employing:
(1) by means of the shooting of satellite shadow figure, the image photographed then is utilized to build three-dimensional map.The defect of the method is, to the process of the simulated data of image and the construction work amount of map very huge, and the three-dimensional map of display is difficult to reach enough clear and approach reality, cannot obtain data in the tunnel of road.
(2) adopt onboard system to gather road data, then build up road three-dimensional model according to the data gathered.The defect of the method is, comprehensive not to the collection of road information, the infrastructures such as the pier stud of such as bridge cannot gather, and therefore modeling is not accurate enough.
In addition, above-mentioned two schemes, all needs to adopt the global position system such as GPS or Beidou navigation, for the region without satellite-signal in tunnel, cannot realize location, therefore cannot set up the three-dimensional model in tunnel.
Utility model content
The purpose of this utility model is to overcome above-mentioned defect, provide a kind of can carry out road fast data acquisition and the man-machine aid vehicle of modeling carry road and gather 3 d modeling system.
A kind of unmanned plane assists vehicle mounted road to gather 3 d modeling system, comprising:
Carrier car;
Unmanned plane;
Data acquisition system (DAS), described data acquisition system (DAS) comprises and is arranged on vehicle-mounted LIDAR on described carrier car and vehicle-mounted SLAM, is arranged on the airborne LIDAR on described unmanned plane;
Data analysis system, puts cloud according to after the data acquisition precision optimizing of described data acquisition system;
Vehicle-mounted LIDAR point cloud after precision optimizing, airborne LIDAR point cloud and SLAM data being spliced by merging border, being formed the locating information of integration by data splicing system mutually;
Road 3 d modeling system, is undertaken integrated by hillside and tunnel internal module outside road guard, side slope, overline bridge, bridge bottom, tunnel, forms road three-dimensional model.
Further, described carrier car comprises car body, is arranged on the intrinsic power-supply system of described car, the intrinsic afterbody of described car is provided with unmanned plane and parks and charging platform, described unmanned plane is parked and charging platform is connected with described power-supply system, parks and charge for described unmanned plane; Described vehicle-mounted LIDAR and vehicle-mounted SLAM is arranged on the top of described car body.
Compared with prior art, the utility model has following beneficial effect:
(1) the utility model is based on vehicle-mounted LIDAR, unmanned plane is auxiliary, vehicle-mounted LIDAR can realize the comprehensive collection to target road data in conjunction with unmanned plane, effectively overcome road information in prior art and gather incomplete defect, and unmanned plane only carries out the collection of bridge lower data, the requirement of unmanned plane during flying time is reduced.
(2) the integrated SLAM technology of the utility model, reduces the degree of dependence to satellite-signal, can realize precise positioning and data acquisition to the region that classic method in tunnel cannot be located.
(3) compared with prior art, the utility model acquisition speed is fast, the automaticity integral production efficiency that is high, three-dimensional modeling of data processing is high, and therefore, the project development cost carrying out road three-dimensional modeling is relatively low; On the other hand, vehicle-mounted mobile laser scanning measurement adopts the mode of driving can complete the measurement of road, and datamation degree is high, can save project development cost greatly.
Accompanying drawing explanation
Fig. 1 is schematic flow sheet of the present utility model.
Fig. 2 is the system chart of data acquisition system (DAS) in the utility model.
Fig. 3 is the structural representation of carrier car part in the utility model.
Wherein, the title that Reference numeral is corresponding is as follows: 1-car body, and 2-power-supply system, 3-unmanned plane is parked and charging platform.
Embodiment
Below in conjunction with embodiment, the utility model is described in further detail, and embodiment of the present utility model includes but not limited to the following example.
Embodiment
As shown in Figure 1, 2, present embodiments providing a kind of unmanned plane assists vehicle mounted road to gather 3 d modeling system, this modeling based on carrier car and on subsystem, unmanned plane and on subsystem be auxiliary, its reason carrier car and on subsystem carry out the data acquisition of road fast, then utilize the data genaration road three-dimensional model of collection.The infrastructure information such as the pier stud of bridge cannot be gathered due to vehicle mounted road data acquisition system (DAS), therefore adopt unmanned plane precisely scan infrastructure letters such as the pier studs of bridge and gather, obtain the three-dimensional data of bridge bottom.Simultaneously, integrated SLAM system in vehicle carried data collecting module, the precise positioning in the place that satellite-signal cannot arrive can be realized, three-dimensional data in precise acquisition tunnel, and splice mutually with the gps satellite information outside tunnel, realize complete road three-dimensional information collection and modelling, final realization, by less cost, faster speed and lower workload, realizes three-dimensional road map complete, true to nature.Advantage of the present utility model be mainly to road data gather integrality and accuracy.
In the present embodiment, carrier car owner will be provided with vehicle-mounted LIDAR and vehicle-mounted SLAM two subsystems, unmanned plane is provided with airborne LIDAR subsystem, vehicle-mounted LIDAR, vehicle-mounted SLAM and airborne LIDAR composition data acquisition system.Before collection, verification is carried out to vehicle-mounted LIDAR, airborne LIDAR and vehicle-mounted SLAM and runs, realize the parameter calibration to each system equipment.Then, walk and gather in the enterprising every trade of target road, when running into bridge, by unmanned plane, the infrastructures such as bridge pier column are taken photo by plane, when running into tunnel, open SLAM system teaching display stand and locate and obtain tunnel information, final acquisition comprises the road raw data achievement of LIDAR point cloud and image.Specifically:
Overline bridge information, road slope information, tunnel portal hillside information and road sign information is worn under obtaining driving trace information, track, road surface and width information, pavement texture information, road surface elevation information, intersection information, road guard information, roadside greening information, road by vehicle-mounted LIDAR;
Vehicle travels when running into bridge, obtains abutment information, bridge pier outward appearance geometry information, bridge concrete just appearance information at the bottom of face texture information and Bridge Beam by unmanned plane and airborne LIDAR;
When vehicle travels into tunnel, open vehicle-mounted SLAM, obtain vehicle location trace information, tunnel outer information, tunnel road surface elevation information, ditch cover plate information, the information that stops in emergency, garage's Pedestrian Crosswalk information, tunnel concrete just face texture information and surface geometry dimension information.
Data collection steps is as follows: first, travelled in target road by carrier car, under obtaining driving trace information, track, road surface and width information, pavement texture information, road surface elevation information, intersection information, road guard information, roadside greening information, road by vehicle-mounted LIDAR subsystem, wear overline bridge information, road slope information, tunnel portal hillside information and road sign information.When vehicle travels to Bridge position, car is parked in safe position, the unmanned plane that will be loaded with LIDAR is opened, and controls the flight of unmanned plane by wireless telemetry, obtains abutment information, bridge pier outward appearance geometry information, bridge concrete just appearance information at the bottom of face texture information and Bridge Beam.After bridge data collection terminates, unmanned plane flies in car, and vehicle moves on.When vehicle travels into tunnel, open vehicle-mounted SLAM system, obtain vehicle location trace information, tunnel outer information, tunnel road surface elevation information, ditch cover plate information, the information that stops in emergency, garage's Pedestrian Crosswalk information, tunnel concrete just face texture information and surface geometry dimension information.
The information collected carries out analysis optimization through data analysis system, namely according to LIDAR point cloud generating principle, sets up the error model of some cloud system, for rejecting repetition and invalid information, to obtain vehicle-mounted LIDAR point cloud, airborne LIDAR point cloud after precision optimizing.Put cloud after obtaining precision optimizing, but these information be scattered, lack systematic, now, need be spliced above-mentioned information by data splicing system.
Data splicing system, the wheelpath obtained with vehicle-mounted LIDAR and vehicle-mounted SLAM and altitude figures are for three-dimensional coordinate system, vehicle-mounted LIDAR point cloud after precision optimizing, airborne LIDAR point cloud and SLAM data being spliced mutually by merging border, forming the locating information of integration.
Road 3 d modeling system, based on the three-dimensional road module that data splicing system obtains, to merge bound technique for supporting, LIDAR photo data acquisition obtained, image incorporate three-dimensional road module, comprise the following steps:
First, ground point filtered classification is carried out to putting cloud after precision optimizing, identify ground point cloud, with ground point cloud for non-ground points filtered classification is carried out in reference, identify non-ground points cloud, form the disparate modules of road guard, side slope, overline bridge, bridge bottom, tunnel portal hillside and tunnel internal respectively, carry out the extraction that the effective analysis area of atural object and atural object corresponding point are converged.Then, under 3 d modeling system, according to atural object parameter model storehouse, carry out the high-precision three-dimensional modeling of atural object under ground point cloud and photo fusion mode after precision optimizing, generate road high definition model.Finally, hillside and tunnel internal module outside road guard, side slope, overline bridge, bridge bottom, tunnel are carried out integrated, form road high definition three-dimensional model.
Concrete, LIDAR laser point cloud data is adopted to make the coordinate system layer including coordinate system informations, make the earth's surface elevation layer of reaction ground level, earth's surface elevation layer presents landform, the morphologic characteristics of objective road area, is presented the high and low fluctuating situation on ground by map.The three-D profile of ground and neighbouring object of reference is made according to the other contour of building line of LIDAR laser point cloud data, LIDAR image data and road.The road information recorded according to road earth's surface photo makes the road surface layer of pavement of road information including floor line, road texture, curb-to-curb width, and road surface layer embodies the actual characteristic on road surface.Make the road surface layer comprising pavement of road information respectively; Comprise the auxiliary layer of guardrail, side slope, gutter; Comprise the bridge layer of bridge beam body, pier shaft, bent cap, binder; Comprise the tunnel layer of gutter, cover plate, electromechanical facility in tunnel portal, hole and comprise the object of reference layer etc. of road side building, massif, finally above-mentioned each layer being carried out the Three-dimensional Numeric Map model of fusion treatment establishing target road on map publishing platform.
In the present embodiment, data analysis system, data splicing system and road 3 d modeling system all can adopt existing data analysis, splicing and modeling, and and therefore not to repeat here.
According to above-described embodiment, just the utility model can be realized well.What deserves to be explained is; under prerequisite based on above-mentioned design concept; for solving same technical matters; even if some making on architecture basics disclosed in the utility model are without substantial change or polishing; the essence of the technical scheme adopted is still the same with the utility model, therefore it also should in protection domain of the present utility model.
Claims (3)
1. unmanned plane assists vehicle mounted road to gather a 3 d modeling system, it is characterized in that, comprising:
Carrier car;
Unmanned plane;
Data acquisition system (DAS), described data acquisition system (DAS) comprises and is arranged on vehicle-mounted LIDAR on described carrier car and vehicle-mounted SLAM, and is arranged on the airborne LIDAR on described unmanned plane;
Data analysis system, puts cloud according to after the data acquisition precision optimizing of described data acquisition system;
Vehicle-mounted LIDAR point cloud after precision optimizing, airborne LIDAR point cloud and SLAM data being spliced by merging border, being formed the locating information of integration by data splicing system mutually;
Road 3 d modeling system, is undertaken integrated by hillside and tunnel internal module outside road guard, side slope, overline bridge, bridge bottom, tunnel, forms road three-dimensional model.
2. unmanned plane according to claim 1 assists vehicle mounted road to gather 3 d modeling system, it is characterized in that, described carrier car comprises car body (1), be arranged on the power-supply system (2) in described car body (1), afterbody in described car body (1) is provided with unmanned plane and parks and charging platform (3), described unmanned plane parks and charging platform (3) is connected with described power-supply system (2), parks and charge for described unmanned plane.
3. unmanned plane according to claim 2 assists vehicle mounted road to gather 3 d modeling system, and it is characterized in that, described vehicle-mounted LIDAR and vehicle-mounted SLAM is arranged on the top of described car body (1).
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104992467A (en) * | 2015-07-20 | 2015-10-21 | 四川隧唐科技股份有限公司 | Unmanned aerial vehicle assisted vehicle-mounted road acquisition three-dimensional modeling system and realization method thereof |
| US20220198699A1 (en) * | 2020-12-22 | 2022-06-23 | Here Global B.V. | Method and apparatus for detecting a start location and end location of a bridge |
| US11602974B2 (en) | 2019-08-29 | 2023-03-14 | Here Global B.V. | System and method for generating map data associated with road objects |
-
2015
- 2015-07-20 CN CN201520525755.3U patent/CN204946114U/en active Active
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104992467A (en) * | 2015-07-20 | 2015-10-21 | 四川隧唐科技股份有限公司 | Unmanned aerial vehicle assisted vehicle-mounted road acquisition three-dimensional modeling system and realization method thereof |
| CN104992467B (en) * | 2015-07-20 | 2018-08-21 | 四川隧唐科技股份有限公司 | Unmanned plane assists vehicle mounted road acquisition 3 d modeling system and its implementation |
| US11602974B2 (en) | 2019-08-29 | 2023-03-14 | Here Global B.V. | System and method for generating map data associated with road objects |
| US20220198699A1 (en) * | 2020-12-22 | 2022-06-23 | Here Global B.V. | Method and apparatus for detecting a start location and end location of a bridge |
| US11610332B2 (en) * | 2020-12-22 | 2023-03-21 | Here Global B.V. | Method and apparatus for detecting a start location and end location of a bridge |
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