CN106203335A - Sign board visibility evaluation methodology based on three-dimensional point cloud - Google Patents

Sign board visibility evaluation methodology based on three-dimensional point cloud Download PDF

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CN106203335A
CN106203335A CN201610541382.8A CN201610541382A CN106203335A CN 106203335 A CN106203335 A CN 106203335A CN 201610541382 A CN201610541382 A CN 201610541382A CN 106203335 A CN106203335 A CN 106203335A
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sign board
viewpoint
cloud
point
board
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CN106203335B (en
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王程
张善心
吴爽
温程璐
李军
杨晨晖
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Xiamen University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/35Categorising the entire scene, e.g. birthday party or wedding scene
    • G06V20/38Outdoor scenes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/25Determination of region of interest [ROI] or a volume of interest [VOI]

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The invention discloses a kind of sign board visibility evaluation methodology based on three-dimensional point cloud, invention proposes can the definition of visual field and spacing-visible degree, and using spacing-visible degree as sign board in the space observability evaluation criterion of different observation positions.In three-dimensional point cloud, four element method, alpha shape algorithm and retina image-forming principle is utilized to calculate the visual field intensity of sign board at this viewpoint;Whether the point cloud projection in view frustums is calculated for blocking a cloud by ray method;Utilizing the visibility of the sign board of the correlation calculations viewpoint position of visual field intensity and visibility, calculate traffic signs can visual field.The method automatically, directly perceived, accurately, efficiently, install at traffic mark board safeguard, billboard is thrown in, can be given in terms of roadside greening and architectural design and reasonably instruct and suggestion, has the highest actual promotional value.

Description

Sign board visibility evaluation methodology based on three-dimensional point cloud
Technical field
The present invention relates to a kind of sign board visibility evaluation methodology based on three-dimensional point cloud.
Background technology
Sign board refers to indicate feature with word or symbol, attracts the plate that pedestrian notes, the most normal in we are daily Seeing, it includes prohibitory sign board, caution sign board, tourist symbol board, speed(-)limit sign board, indicating signboard, reflecting sign board, peace Full sign boards etc., billboard is also one of its purposes amplified out.Direction board is as the marker of a kind of directiveness, it should to people Eye-catching visual impact, but in actual applications, there is the factor of its eye-catching effect of many restrictions, because of installation site and installation The most incorrect surrounding buildings caused blocks, and it is exactly one of factor wherein affecting maximum that greening-tree blocks.Traffic indication board Being blocked, driver can not see instruction information in advance, easily go to the wrong way route or because slow down find instruction information and cause unnecessary Block up and rear-end collision;Billboard is blocked, and the investment of investor can not get intended return;And for regulatory authorities For, the pruning of greening-tree can only be carried out by subjective judgement, thus causes part way stability appraisal, and part way is neglected Depending on, inefficiency and result is unsatisfactory.Therefore need one badly to evaluate sign board intuitively, exactly and wake up in actual applications The method of purpose degree, installs as to sign board, billboard throw in and the guidance method whether greening-tree pruned and Suggestion.
Summary of the invention
It is an object of the invention to overcome above-mentioned the deficiencies in the prior art, it is provided that a kind of mark based on three dimensional point cloud Board spacing-visible degree evaluation methodology.
For achieving the above object, the present invention is by the following technical solutions:
Sign board visibility evaluation methodology based on three-dimensional point cloud, comprises the following steps:
S1, calculation flag board are in the visual field intensity of benchmark of referenced viewpoints: to cross the normal at sign board center, from sign board Viewpoint on the basis of position at the d rice of center, calculates the sign board imaging area on the retina when this referenced viewpoints is observed, fixed Justice visual field intensity now is 1;
S2, calculation flag board are in the visual field intensity of viewpoint: calculate the sign board one-tenth on the retina when viewpoint is observed The ratio of sign board imaging area on the retina when image planes are long-pending and referenced viewpoints is observed, it is visual that this ratio is on this aspect Field intensity;
S3, calculation flag board are in the space visibility of viewpoint: calculated sign board center, with sign board central point and viewpoint Line is that in the plane of normal vector, sign board is not blocked the ratio between area and sign board area, and this ratio is this Space visibility on point;
S4, calculation flag board are at the spacing-visible degree of viewpoint: the spacing-visible degree of this point be this point visual field intensity with The product of the space visibility of this point;
S5, calculation flag board can visual field: calculate and store the institute that distance marker board centre distance is R according to spherical equation Having the spherical coordinate of viewpoint, repeat step S2-S4, calculate the space visibility of each viewpoint, setting up observed range is mark during R The visual field model of board.
Further, step S1 specifically includes following steps:
S11, use existing sign board extraction algorithm, a cloud scene is extracted mark pip cloud;
S12, the center of calculation flag pip cloud and the normal vector Normal of sign board plane;
S13, four element method are used to rotate to mark pip cloud normal vector with sign board planar process vector Normal as Z In the coordinate space of axle;
S14, mark pip cloud is projected to XOY plane, use alpha shape algorithm to calculate the border of point cloud projection;
S15, polygon area formula is used to calculate the area of sign board according to the border vertices of point cloud projection;
S16, calculating referenced viewpoints and the distance at sign board center, according to retina image-forming principle, calculation flag board is regarding Imaging area above nethike embrane.
Further, described step S2 specifically includes:
S21, calculate alignment amount L of line between viewpoint and sign board center, use four element method will mark pip clouds Rotate in the coordinate space with alignment amount L as Z axis;
S22, mark pip cloud is projected to XOY plane, use alpha shape algorithm to calculate the border of point cloud projection;
S23, border vertices according to point cloud projection, use polygon area formula to calculate the area of sign board;
S24, calculating viewpoint and the distance at sign board center, according to retina image-forming principle, calculation flag board is at retina Imaging area above, this imaging area is the visual field intensity at this viewpoint with the ratio of the visual field intensity of benchmark.
Further, described step S3 specifically includes:
Eye coordinates is rotated in the coordinate space with alignment amount L as Z axis by S31, repetition step S21;
In S32, coordinate space after conversion, according to the sign board border vertices coordinate calculated in step S22, even Connect the line of viewpoint and each summit, calculate the angle between the line at this line and viewpoint and sign board center, then calculate and look for Go out the angle α of maximum;
S33, in former coordinate space, with the line at viewpoint and sign board center as direction, form one with α for visual angle angle Individual view frustums, it is judged that whether the angle that the line of some cloud in viewpoint and view frustums and the line at viewpoint and sign board center are formed More than α, if > is α, give up, if≤α, carry out next step;
Putting the intersection point of the line of cloud and the place plane of sign board in S34, calculating viewpoint and view frustums, this intersection point point cloud is remembered For Cloud1, four element method are used to rotate in the coordinate space with alignment amount L as Z axis by a cloud Cloud1, coordinate transform After some cloud be designated as Cloud2;
S35, a cloud Cloud2 is projected on XOY plane, whether judge the point of Cloud2 point cloud projection by ray method The border inner of the sign board point cloud projection calculated in step S22, if this point is in inside, is considered as intersection point, otherwise gives up This point, it is thus achieved that intersection point point converge and be designated as Cloud3;
S36, use alpha shape algorithm calculate the border of some cloud Cloud3, according to the summit on the border of Cloud3, Polygon area formula is used to calculate the area of intersection point point cloud;
The area ratio of the sign board calculated in S37, calculating intersection point point cloud boundary and step S24, deducts this ratio with 1 It is the space visibility at this viewpoint.
After using technique scheme, the present invention, compared with background technology, has the advantage that
Can automatically, intuitively, accurately and efficiently to the visibility of sign board be evaluated, install at sign board safeguard, advertisement Board input, roadside greening and architectural design aspect are given and reasonably instruct and suggestion, especially can periodically make in urban road It is scanned by Vehicle-borne Laser Scanning system, thus judges the greening-tree coverage extent to sign board, prune week as greening-tree Phase and the reference of pruning rate.
Accompanying drawing explanation
Fig. 1 is that visual field model builds schematic diagram;
Fig. 2 is shelter schematic diagram during observation;
Fig. 3 is calculation process block diagram of the present invention;
Fig. 4 is the present invention visual field intensity computing block diagram;
Fig. 5 is that area of a polygon calculates schematic diagram;
Fig. 6 is retina image-forming principle schematic;
Fig. 7 is space of the present invention visibility calculation process block diagram;
Fig. 8 is that result is overlooked in intersection point point cloud computing;
Fig. 9 intersection point point cloud computing side-looking result;
Figure 10 is for blocking a cloud computing result figure;
Figure 11 is border and the result of calculation on sign board border of Cloud3;
Figure 12 is the sphere viewpoint point cloud schematic diagram of storage in embodiment;
Figure 13 be in embodiment with or without circumstance of occlusion can visual field display result.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, right The present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, and It is not used in the restriction present invention.
Embodiment
In order to represent sign board visibility in different distance, different visual angles intuitively, introduce can the definition of visual field, As it is shown in figure 1, definition can visual field be: with sign board center as the centre of sphere, with R as radius, set up a three-dimensional sphere, definition mark Hemisphere corresponding to the front of board be this sign board can visual field.
Viewpoint v that then each point on spheroid is all is R with sign board distancei, viewpoint viA cone is formed with sign board Body.Human eye to the spacing-visible degree of sign board by viewpoint viDistance and observation angle affect: when observed range one timing, for Different viewpoints, observation angle and sign board imaging area on the retina is inversely proportional to, observation angle deviation sign board normal Direction is the biggest, and retina image-forming area is the least;When observation angle one timing, observed range and sign board imaging on the retina Area is inversely proportional to, and distance is the most remote, and retina image-forming area is the least.
For stating this relation intuitively, viewpoint position is defined as visual field intensity to the impact of spacing-visible degree.For The visual field intensity of tolerance by visual field intensity normalization, defined sign board center, along sign board normal direction distance Viewpoint on the basis of the position at sign board center d rice (the usual < of d 10, depending on practical situation) place, records now sign board and exists Imaging area on retina, definition visual field intensity now is 1, then viewpoint viVisual field intensity be in viewpoint viTime Sign board imaging area on the retina and the ratio of sign board imaging area on the retina when referenced viewpoints.
Thus, each viewpoint v on hemisphereiAll have a unique visual field intensity, visual field intensity with viewpoint away from From increase and decay, with deviation sign board normal direction angle increase and decay.Visual field intensity at referenced viewpoints is 1, infinite point or visual field intensity when being 90 degree with sign board normal direction drift angle are 0.
But as in figure 2 it is shown, in the case of not considering illumination, in actual environment, in different viewpoints, sign board still can Being blocked by different objects, in figure, circular and star represents blocking of the object such as leaves, light pole.So, solely use The spacing-visible degree of sign board is evaluated being inaccurate by visual field intensity, and the position of viewpoint is different, then the mark observed The area of will board is different, and the shielded area that shelter is formed is the most different, for stating this relation intuitively, by coverage extent to sky Between the impact of visibility be labeled as space visibility, then the space visibility of viewpoint is defined as: cross sign board center, with sign board On central point and plane that viewpoint line is normal vector, the ratio that sign board is not blocked between area and the area of sign board Value.Then having, shielded area is the biggest, and space visibility is the least.
So, the spacing-visible degree of sign board is the visual field intensity product with space visibility of viewpoint, calculates visual In Chang, i.e. obtain can the spacing-visible degree of visual field for the spacing-visible degree of each viewpoint.
As it is shown on figure 3, concrete calculation procedure is as follows:
S1, calculation flag board in the visual field intensity of benchmark of referenced viewpoints, particularly as follows:
S11, use existing sign board extraction algorithm, a cloud scene is extracted mark pip cloud;
S12, the center of calculation flag pip cloud and the normal vector Normal of sign board plane;
S13, four element method are used to rotate to mark pip cloud normal vector with sign board planar process vector Normal as Z In the coordinate space of axle;
S14, mark pip cloud projects to XOY plane, and (now XOY plane i.e. crosses mark pip cloud center and sign board method The plane that line is vertical), use alpha shape algorithm to calculate the border of point cloud projection;
S15, polygon area formula is used to calculate the area of sign board according to the border vertices of point cloud projection;
S16, calculating referenced viewpoints and the distance at sign board center, according to retina image-forming principle, calculation flag board is regarding Imaging area above nethike embrane.
S2 calculation flag board in the visual field intensity of viewpoint, particularly as follows:
S21, calculate alignment amount L of line between viewpoint and sign board center, use four element method will mark pip clouds Rotate in the coordinate space with alignment amount L as Z axis;
S22, mark pip cloud projects to XOY plane, and (now XOY plane i.e. crosses mark pip cloud center and alignment amount L Vertical plane), use alpha shape algorithm to calculate the border of point cloud projection;
S23, border vertices according to point cloud projection, use polygon area formula to calculate the area of sign board;
S24, calculating viewpoint and the distance at sign board center, according to retina image-forming principle, calculation flag board is at retina Imaging area above, this imaging area is the visual field intensity at this viewpoint with the ratio of the visual field intensity of benchmark.
As shown in Figure 4 be the calculation process block diagram of step S1 and S2, can the calculation process block diagram of visual field intensity, such as figure Shown in 5 is area of a polygon calculate schematic diagram, as shown in Figure 6 be retina image-forming principle schematic.Wherein, four element Method, alpha shape and area of a polygon calculate and belong to prior art, and concrete algorithm does not repeats at this, should be noted that It is the determination that can affect border of the value of alpha, should arrange according to practical situation, the present embodiment is set to 0.1 meter.
S3, calculation flag board, in the space visibility of viewpoint, specifically include:
Eye coordinates is rotated in the coordinate space with alignment amount L as Z axis by S31, repetition step S21;
In S32, coordinate space after conversion, according to the sign board border vertices coordinate calculated in step S22, even Connect the line of viewpoint and each summit, calculate the angle between the line at this line and viewpoint and sign board center, then calculate and look for Go out the angle α of maximum;
S33, in former coordinate space, with the line at viewpoint and sign board center as direction, form one with α for visual angle angle Individual view frustums, now in view frustums some cloud be possible and sign board between produce the some cloud blocked, it is judged that viewpoint and the cone Whether the angle that the internal line of some cloud and the line at viewpoint and sign board center are formed, more than α, if > is α, is given up, if≤α Then carry out next step;
Putting the intersection point of the line of cloud and the place plane of sign board in S34, calculating viewpoint and view frustums, this intersection point point cloud is remembered For Cloud1, four element method are used to rotate in the coordinate space with alignment amount L as Z axis by a cloud Cloud1, coordinate transform After some cloud be designated as Cloud2;
S35, a cloud Cloud2 is projected on XOY plane (now XOY plane i.e. crosses mark pip cloud center and alignment amount The plane that L is vertical), judge, by ray method, the sign board whether point of Cloud2 point cloud projection calculates in step S22 The border inner of point cloud projection, if this point is in inside, is considered as intersection point, otherwise gives up this point, it is thus achieved that intersection point point converge and be designated as Cloud3;
S36, use alpha shape algorithm calculate the border of some cloud Cloud3, according to the summit on the border of Cloud3, Polygon area formula is used to calculate the area of intersection point point cloud;
The area ratio of the sign board calculated in S37, calculating intersection point point cloud boundary and step S24, deducts this ratio with 1 It is the space visibility at this viewpoint.
As shown in Figure 7 be step S3 (i.e. the calculating of space visibility) FB(flow block).Fig. 8-Figure 10 is then followed successively by step In S35: intersection point point cloud computing is overlooked result, intersection point point cloud computing side-looking result and blocks a cloud computing result figure.Figure 11 is The border of Cloud3 and the result of calculation on sign board border.
S4, calculation flag board are at the spacing-visible degree of viewpoint: the spacing-visible degree of this point is the visual field intensity of this point Product with the space visibility of this point.
S5, calculation flag board can visual field:
With sign board center as the centre of sphere, observed range R is radius, sets up sphere model, take sign board front towards Positive hemisphere face, θ,It is respectively angle both horizontally and vertically, then has according to the parametric equation of ball,
Umbilical point cloud utilize four element coordinate transformation methods umbilical point cloud rotates to the dead ahead of sign board.Storage is just The spherical coordinate of all viewpoints on hemisphere face, repeats step S2-S4, calculates the space visibility of each viewpoint, set up observed range Visual field model for sign board during R.
As shown in figure 12 be storage sphere viewpoint point cloud schematic diagram.It is can referenced viewpoints in visual field as shown in fig. 13 that Being 10 meters, can visual field radius be 13 meters, horizontal and vertical angle be the display result of 6 degree, display when left figure is unobstructed As a result, right figure is to have display result when blocking.
The above, the only present invention preferably detailed description of the invention, but protection scope of the present invention is not limited thereto, Any those familiar with the art in the technical scope that the invention discloses, the change that can readily occur in or replacement, All should contain within protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of the claims It is as the criterion.

Claims (4)

1. sign board visibility evaluation methodology based on three-dimensional point cloud, it is characterised in that comprise the following steps:
S1, calculation flag board are in the visual field intensity of benchmark of referenced viewpoints: to cross the normal at sign board center, from sign board center Viewpoint on the basis of position at d rice, calculates the sign board imaging area on the retina when this referenced viewpoints is observed, defines this Time visual field intensity be 1;
S2, point with distance marker board centre distance as R are as viewpoint, and calculation flag board is in the visual field intensity of viewpoint: calculate and exist Sign board imaging surface on the retina when sign board imaging area on the retina is observed with referenced viewpoints during viewpoint observation Long-pending ratio, this ratio is the visual field intensity on this aspect;
S3, calculation flag board are in the space visibility of viewpoint: calculated sign board center, with sign board central point and viewpoint line Not being blocked the ratio between area and sign board area for sign board in the plane of normal vector, this ratio is on this aspect Space visibility;
S4, calculation flag board are at the spacing-visible degree of viewpoint: the spacing-visible degree of this point is visual field intensity and this point of this point The product of space visibility;
S5, calculation flag board can visual field: calculating and store distance marker board centre distance according to spherical equation is that all of R regard The spherical coordinate of point, repeats step S2-S4, calculates the space visibility of each viewpoint, and setting up observed range is sign board during R Visual field model.
Sign board visibility evaluation methodology based on three-dimensional point cloud the most according to claim 1, it is characterised in that step S1 Specifically include following steps:
S11, use existing sign board extraction algorithm, a cloud scene is extracted mark pip cloud;
S12, the center of calculation flag pip cloud and the normal vector Normal of sign board plane;
S13, use four element method will mark pip cloud normal vector rotate to the coordinate space with normal vector Normal as Z axis In;
S14, mark pip cloud is projected to XOY plane, use alpha shape algorithm to calculate the border of point cloud projection;
S15, polygon area formula is used to calculate the area of sign board according to the border vertices of point cloud projection;
S16, calculating referenced viewpoints and the distance at sign board center, according to retina image-forming principle, calculation flag board is at retina Imaging area above.
Sign board visibility evaluation methodology based on three-dimensional point cloud the most according to claim 1, it is characterised in that described step Rapid S2 specifically includes:
S21, calculate alignment amount L of line between viewpoint and sign board center, use four element method to be rotated by mark pip clouds In the coordinate space with alignment amount L as Z axis;
S22, mark pip cloud is projected to XOY plane, use alpha shape algorithm to calculate the border of point cloud projection;
S23, border vertices according to point cloud projection, use polygon area formula to calculate the area of sign board;
S24, calculating viewpoint and the distance at sign board center, according to retina image-forming principle, calculation flag board face on the retina Imaging area, the ratio of this imaging area and the visual field intensity of benchmark is the visual field intensity at this viewpoint.
Sign board visibility evaluation methodology based on three-dimensional point cloud the most according to claim 1, it is characterised in that described step Rapid S3 specifically includes:
Eye coordinates is rotated in the coordinate space with alignment amount L as Z axis by S31, repetition step S21;
In S32, coordinate space after conversion, according to the sign board border vertices coordinate calculated in step S22, connection regards Point and the line on each summit, calculate the angle between the line at this line and viewpoint and sign board center, then calculate and find out Big angle α;
S33, in former coordinate space, with the line at viewpoint and sign board center as direction, form one with α for visual angle angle and regard Cone, it is judged that whether the angle that the line of some cloud in viewpoint and view frustums and the line at viewpoint and sign board center are formed is more than α, if > is α, gives up, if≤α, carries out next step;
Putting the intersection point of the line of cloud and the place plane of sign board in S34, calculating viewpoint and view frustums, this intersection point point cloud is designated as Cloud1, uses four element method to rotate in the coordinate space with alignment amount L as Z axis by a cloud Cloud1, after coordinate transform Some cloud be designated as Cloud2;
S35, a cloud Cloud2 is projected on XOY plane, judge that whether the point of Cloud2 point cloud projection is in step by ray method The border inner of the sign board point cloud projection calculated in rapid S22, if this point is in inside, is considered as intersection point, otherwise gives up this Point, it is thus achieved that intersection point point converge and be designated as Cloud3;
S36, use alpha shape algorithm calculate the border of some cloud Cloud3, according to the summit on the border of Cloud3, use Polygon area formula calculates the area of intersection point point cloud;
The area ratio of the sign board calculated in S37, calculating intersection point point cloud boundary and step S24, deducts this ratio with 1 and is Space visibility at this viewpoint.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109919157A (en) * 2019-03-28 2019-06-21 北京易达图灵科技有限公司 A kind of vision positioning method and device
CN111192322A (en) * 2019-12-31 2020-05-22 武汉中海庭数据技术有限公司 Method and system for automatically calculating height of signboard based on point cloud track
US11295147B1 (en) 2020-11-27 2022-04-05 HCL Technologies Italy S.p.A. Method and system for detecting and managing obfuscation of a road sign

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102789693A (en) * 2012-08-10 2012-11-21 深圳市路畅科技股份有限公司 Method for automatically identifying road symbols and vehicle-bone identification device
CN103955939A (en) * 2014-05-16 2014-07-30 重庆理工大学 Boundary feature point registering method for point cloud splicing in three-dimensional scanning system
CN104063898A (en) * 2014-06-30 2014-09-24 厦门大学 Three-dimensional point cloud auto-completion method
CN104484668A (en) * 2015-01-19 2015-04-01 武汉大学 Unmanned aerial vehicle multi-overlapped-remote-sensing-image method for extracting building contour line

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102789693A (en) * 2012-08-10 2012-11-21 深圳市路畅科技股份有限公司 Method for automatically identifying road symbols and vehicle-bone identification device
CN103955939A (en) * 2014-05-16 2014-07-30 重庆理工大学 Boundary feature point registering method for point cloud splicing in three-dimensional scanning system
CN104063898A (en) * 2014-06-30 2014-09-24 厦门大学 Three-dimensional point cloud auto-completion method
CN104484668A (en) * 2015-01-19 2015-04-01 武汉大学 Unmanned aerial vehicle multi-overlapped-remote-sensing-image method for extracting building contour line

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
SHUANG WU ETC.: "Using mobile LiDAR point clouds for traffic sign detection and sign visibility estimation", 《2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)》 *
朱 利等: "面向城市建筑物 3D 点云模型的快速绘制方法", 《计算机辅助设计与图形学学报》 *
陈卓等: "基于机载LiDAR数据的大型立交桥自动提取与建模方法", 《测绘学报》 *
顾汤华: "城市行道树遮挡道路交通标志问题分析", 《中 国 城 市 林 业》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109919157A (en) * 2019-03-28 2019-06-21 北京易达图灵科技有限公司 A kind of vision positioning method and device
CN111192322A (en) * 2019-12-31 2020-05-22 武汉中海庭数据技术有限公司 Method and system for automatically calculating height of signboard based on point cloud track
CN111192322B (en) * 2019-12-31 2022-09-30 武汉中海庭数据技术有限公司 Method and system for automatically calculating height of signboard based on point cloud track
US11295147B1 (en) 2020-11-27 2022-04-05 HCL Technologies Italy S.p.A. Method and system for detecting and managing obfuscation of a road sign

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