CN106781476B - Vehicle dynamic position analysis method in traffic accident - Google Patents

Vehicle dynamic position analysis method in traffic accident Download PDF

Info

Publication number
CN106781476B
CN106781476B CN201611197921.7A CN201611197921A CN106781476B CN 106781476 B CN106781476 B CN 106781476B CN 201611197921 A CN201611197921 A CN 201611197921A CN 106781476 B CN106781476 B CN 106781476B
Authority
CN
China
Prior art keywords
accident
vehicle
plane
grid
coordinate system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201611197921.7A
Other languages
Chinese (zh)
Other versions
CN106781476A (en
Inventor
聂瑞
段傲文
尹志勇
王芳
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.)
Third Affiliated Hospital of TMMU
Original Assignee
Third Affiliated Hospital of TMMU
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 Third Affiliated Hospital of TMMU filed Critical Third Affiliated Hospital of TMMU
Priority to CN201611197921.7A priority Critical patent/CN106781476B/en
Publication of CN106781476A publication Critical patent/CN106781476A/en
Application granted granted Critical
Publication of CN106781476B publication Critical patent/CN106781476B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications

Abstract

The present invention provides vehicle dynamic position analysis methods in a kind of traffic accident, include the following steps: S1, are taken photo by plane mode by scene, carry out comprehensive data acquisition in ground survey road dimensions and floor line length;S2, obtain monitor video data, road surface grid coordinate system is formed, calibration processing and error evaluation are carried out to grid coordinate system, grid is carried out to the monitor video image comprising several accident vehicles and measures the accurate location for determining accident vehicle in single width monitor video image;S3, analyze driving trace, speed variation, brake safe distance, traveling lane and the driving direction variation of several accident vehicles, by several accident vehicles by grid coordinate system positioning, temporally dot sequency is plotted to take photo by plane and just penetrates top view and analyze, and obtains the integrated information of traffic accident.By the scene photo of take photo by plane figure and the scene of the accident scene situation that shoot the later period by drawing mesh coordinate, the running track of vehicle during traffic accident can be accurately depicted.

Description

Vehicle dynamic position analysis method in traffic accident
Technical field
The present invention relates to vehicle dynamic position analysis sides in video image analysis field more particularly to a kind of traffic accident Method.
Background technique
Traffic accident happens occasionally, the fixed monitor video with the awareness of safety and social development of people, on road Covering surface is more and more wider, and the equipment such as automobile data recorder on vehicle can all record accident generating process.Traffic accident occurs Afterwards, the analyses such as driving trace, speed before traffic police needs that accident vehicle accident occurs in fix duty, make confirmation of responsibility.It is existing Some analysis methods include: to analyze etc. by ground trace.But existing main problem is, some are after the accident Face trace is limited, is difficult to be caused final according to the change in location relationship between a little ground trace accurate judgement incident vehicle in front Difficulty in confirmation of responsibility.This just needs those skilled in the art and solves corresponding technical problem.
Summary of the invention
The present invention is directed at least solve the technical problems existing in the prior art, a kind of traffic thing is especially innovatively proposed Therefore middle vehicle dynamic position analysis method.
In order to realize above-mentioned purpose of the invention, the present invention provides vehicle dynamic position analysis sides in a kind of traffic accident Method includes the following steps:
S1 is taken photo by plane mode by scene, scene of the accident Aerial Images is obtained, in ground survey road dimensions and floor line Length carries out comprehensive data acquisition;
S2, obtains monitor video data, and it is flat to choose monitor video image Road for the monitor video image during interception accident Two pairs of orthogonal parallel marking lines carry out grid dividing on face, form road surface grid coordinate system, determine grid coordinate system Mark processing and error evaluation carry out grid to the monitor video image comprising several accident vehicles and measure determining accident vehicle in list Accurate location in width monitor video image;
S3 analyzes driving trace, speed variation, brake safe distance, traveling lane and the traveling of several accident vehicles Direction change, by several accident vehicles by grid coordinate system positioning, temporally dot sequency is plotted to take photo by plane and just penetrates top view pair Position is answered to be analyzed, to obtain the integrated information of traffic accident.
Above-mentioned technical proposal has the beneficial effect that showing by take photo by plane figure and the scene of the accident scene situation that shoot the later period Field figure can accurately depict the running track of vehicle during traffic accident by drawing mesh coordinate.
Vehicle dynamic position analysis method in the traffic accident, it is preferred that the S1 includes:
Unmanned plane accident section, size, the floor line length data of measurement road;It is just being penetrated using unmanned plane high-altitude It takes photo by plane accident section, obtains clear, the complete scene of the accident and overlook panorama sketch.
Vehicle dynamic position analysis method in the traffic accident, it is preferred that the S1 further include:
Scene of the accident reconstruction process acquires the floor line and road dimensions data in incident crossing section, infrared rays survey Measurement accuracy evaluation criterion as monitor video image lattice measured value is utilized unmanned plane accident section, processing by value Unmanned plane sequence image obtains the Three-dimension Reconstruction Model of accident section, measures to the graticule distance in reconstruction model, Threedimensional model measured value and site infrare line measured value are used as the reference frame of monitor video image lattice measured value simultaneously;
Scene of the accident road surface size is measured, is overlooked in the scene of the accident taken photo by plane and carries out scene of the accident road in panorama sketch The intersection of crossing and side curb is established road surface coordinate system as coordinate origin first, then measures accident by face size marking The width of each runway in scene, the length of floor line.
Vehicle dynamic position analysis method in the traffic accident, it is preferred that the S2 includes:
S2-A chooses in monitor video and is parallel to each other and vertical graticule for visible two groups, according to Cross ration invariability and disappears It loses point principle and establishes road plane grid coordinate system in monitor video image, in the grid coordinate system plane, grid is parallel The distance between line is equal;
S2-B calibrates grid coordinate system measured value, is corrected, fixed with the grid measured value of in grid one visible graticule It is designated as actual length value, reaches the absolute measured value calibration of the vertical and horizontal to grid measurement coordinate system, obtains road plane Measurable actual length grid coordinate system, for subsequent accident vehicle position;
S2-C, grid coordinate system plane survey precision test, by the actual measured value of roadmarking and video pictures grid Coordinate system calculated value is compared;The length of three groups or more floor lines is surveyed in accident section, is surveyed using road plane grid Corresponding length is measured, the relative error of measured value and actual value is calculated, determines the measurement error range of grid coordinate system plane;
Having the beneficial effect that for above-mentioned technical proposal is portrayed by the way that the video frame of monitor video is carried out mesh coordinate, is drawn Need to measure the image of video frame position.
Vehicle dynamic position analysis method in the traffic accident, it is preferred that the S3 includes:
S3-1 intercepts the time series frame image of a wherein accident vehicle in monitor video picture, chooses a thing Therefore the fixed subpoint of one or more of the vehicle on road surface reads mark point pixel coordinate position and analyzes this as mark point Accident vehicle enters the driving trace after accident section, measures an accident vehicle tracing point using the grid coordinate system of foundation Coordinate on ground;
S3-2, intercept another vehicle of accident monitoring video frame time series frame image, analyze another vehicle into Driving trace after entering accident section, using another vehicle ground one or more subpoints as mark point, analysis Another vehicle measures another track of vehicle point on ground in driving trace before the accident happened, using the grid coordinate system of foundation The coordinate in face;
S3-3, the when m- distance change trend of analysis accident vehicle mark point to reference axis, to obtain accident vehicle The driving status such as speed, traveling lane, driving direction;
Accident vehicle is collected with the video frame images a scene of the accident, obtains the two vehicles by S3-4 Relative positional relationship,
The non-security braking Distance Calculation formula of another vehicle is as follows at this time:
Wherein, s1For another non-security braking distance of vehicle, g is acceleration of gravity, and μ is another vehicle and ground Face coefficient of friction, k are coefficient of friction correction factor, and t is brake reaction time;
S3-5 takes photo by plane and just penetrates top view mark vehicle location, m- position when according to the accident vehicle of grid coordinate system measurement Relationship is transformed into take photo by plane and just penetrate on top view, marks the accident vehicle position opposite with road surface of equidimension, spacing sequentially in time Set relational graph.
Having the beneficial effect that for above-mentioned technical proposal can carry out accurate position point to the traffic accident with monitor video Analysis, and combine to take photo by plane and just take the photograph top view mark accident material time point accident vehicle position, more intuitively, clearly express accident Change in process, is conducive to traffic control department confirmation of responsibility and all parties understand accident and pass through.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
Traffic accident generating process is mainly solved, the change in location process between accident vehicle provides accident duty for traffic police Appoint the judgment basis assert.Accurate position analysis can be carried out to the traffic accident with monitor video, and is combined and taken photo by plane just Top view mark accident material time point accident vehicle position is taken the photograph, more intuitively, clearly expression accident process changes, and is conducive to hand over Pipe portion door confirmation of responsibility and all parties understand accident and pass through.
Additional aspect and advantage of the invention will be set forth in part in the description, and will partially become from the following description Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage will become from the description of the embodiment in conjunction with the following figures Obviously and it is readily appreciated that, in which:
Fig. 1 is flow diagram of the present invention;
Fig. 2 is that the present invention takes photo by plane and just penetrates top view;
Fig. 3 is that accident vehicle crosses the grid instrumentation plan of moment corresponding position in monitor video image of the present invention;
Fig. 4 be the present invention take photo by plane just penetrate top view mark vehicle dynamic position variation schematic diagram.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached The embodiment of figure description is exemplary, and for explaining only the invention, and is not considered as limiting the invention.
In the description of the present invention, it is to be understood that, term " longitudinal direction ", " transverse direction ", "upper", "lower", "front", "rear", The orientation or positional relationship of the instructions such as "left", "right", "vertical", "horizontal", "top", "bottom" "inner", "outside" is based on attached drawing institute The orientation or positional relationship shown, is merely for convenience of description of the present invention and simplification of the description, rather than the dress of indication or suggestion meaning It sets or element must have a particular orientation, be constructed and operated in a specific orientation, therefore should not be understood as to limit of the invention System.
In the description of the present invention, unless otherwise specified and limited, it should be noted that term " installation ", " connected ", " connection " shall be understood in a broad sense, for example, it may be mechanical connection or electrical connection, the connection being also possible to inside two elements can , can also indirectly connected through an intermediary, for the ordinary skill in the art to be to be connected directly, it can basis Concrete condition understands the concrete meaning of above-mentioned term.
After Accident occurs, the process under having fixed monitor video to shoot before the accident happened needs during processing Relative positional relationship before accident vehicle making contact is confirmed.Since monitoring camera is angled with ground, It is difficult to see road lines clearly in video;
Understand that accident vehicle in the relative positional relationship of driving trace and vehicle and road before the accident happened, needs to analyze Video is analyzed, be measured.
Solution: 1, scene is taken photo by plane and data acquire: unmanned plane accident section, the size of measurement road, ground The data such as graticule length;Accident section of taking photo by plane just is penetrated using unmanned plane high-altitude, obtains bowing for clear, complete scene of the accident section Depending on panorama sketch.
2, monitor video is handled:
1) accident process image is intercepted according to monitor video, establishes road surface examination network and chooses ground two to orthogonal Parallel marking line (when without suitable graticule, can put four index points at the scene and artificially make, then transfer the picture) is as grid Partitioning standards.And coordinate value (x, y) is marked to place where the accident occurred point;
2) grid dividing: road plane grid can be marked off according to Cross ration invariability and end point principle, utilize parallel lines Distance grid is demarcated, thereby determine that road plane pixel represent actual size.
3) position of the analysis vehicle on road surface
According to network analysis measurement in the subpoint position on ground, determine measurement in the physical location on road surface.
4) vehicle driving trace is analyzed
The video image of vehicle is intercepted, chooses a certain fixed point of vehicle on the ground as mark point, continuous analysis should The position of mark point, the variation of final tracing point can be considered as track of vehicle variation.
5) top view of taking photo by plane marks vehicle location
It according to the actual value that grid measures, is transformed into vertical view and takes photo by plane on figure, mark equidimension, vehicle and the road surface phase of spacing To relational graph.
As shown in Figure 1, the present invention provides vehicle dynamic position analysis methods in a kind of traffic accident, including walk as follows It is rapid:
S1 is taken photo by plane mode by scene, scene of the accident Aerial Images is obtained, in ground survey road dimensions and floor line Length carries out comprehensive data acquisition;
S2, obtains monitor video data, and it is flat to choose monitor video image Road for the monitor video image during interception accident Two pairs of orthogonal parallel marking lines carry out grid dividing on face, form road surface grid coordinate system, determine grid coordinate system Mark processing and error evaluation carry out grid to the monitor video image comprising several accident vehicles and measure determining accident vehicle in list Accurate location in width monitor video image;
S3 analyzes driving trace, speed variation, brake safe distance, traveling lane and the traveling of several accident vehicles Direction change, by several accident vehicles by grid coordinate system positioning, temporally dot sequency is plotted to take photo by plane and just penetrates top view pair Position is answered to be analyzed, to obtain the integrated information of traffic accident.
Above-mentioned technical proposal has the beneficial effect that showing by take photo by plane figure and the scene of the accident scene situation that shoot the later period Field figure can accurately depict the running track of vehicle during traffic accident by drawing mesh coordinate.
Vehicle dynamic position analysis method in the traffic accident, it is preferred that the S1 includes:
Unmanned plane accident section, size, the floor line length data of measurement road;It is just being penetrated using unmanned plane high-altitude It takes photo by plane accident section, obtains clear, the complete scene of the accident and overlook panorama sketch.
Fig. 2 is that the present invention takes photo by plane and just penetrates top view and (take photo by plane and answer zero defects vehicle inside schematic diagram, because after taking photo by plane and being accident Acquisition, traffic police are seldom just used in the scene of the accident and are taken photo by plane);
Vehicle dynamic position analysis method in the traffic accident, it is preferred that the S1 further include:
Scene of the accident reconstruction process acquires the floor line and road dimensions data in incident crossing section, infrared rays survey Measurement accuracy evaluation criterion as monitor video image lattice measured value is utilized unmanned plane accident section, processing by value Unmanned plane sequence image obtains the Three-dimension Reconstruction Model of accident section, measures to the graticule distance in reconstruction model, Threedimensional model measured value and site infrare line measured value are used as the reference frame of monitor video image lattice measured value simultaneously;
Scene of the accident road surface size is measured, is overlooked in the scene of the accident taken photo by plane and carries out scene of the accident road in panorama sketch The intersection of crossing and side curb is established road surface coordinate system as coordinate origin first, then measures accident by face size marking The width of each runway in scene, the length of floor line.
As shown in figure 3, vehicle dynamic position analysis method in the traffic accident, it is preferred that the S2 includes:
S2-A chooses in monitor video and is parallel to each other and vertical graticule for visible two groups, according to Cross ration invariability and disappears It loses point principle and establishes road plane grid coordinate system in monitor video image, in the grid coordinate system plane, grid is parallel The distance between line is equal;
S2-B calibrates grid coordinate system measured value, is corrected, fixed with the grid measured value of in grid one visible graticule It is designated as actual length value, reaches the absolute measured value calibration of the vertical and horizontal to grid measurement coordinate system, obtains road plane Measurable actual length grid coordinate system, for subsequent accident vehicle position;
S2-C, grid coordinate system plane survey precision test, by the actual measured value of roadmarking and video pictures grid Coordinate system calculated value is compared;The length of three groups or more floor lines is surveyed in accident section, is surveyed using road plane grid Corresponding length is measured, the relative error of measured value and actual value is calculated, determines the measurement error range of grid coordinate system plane;
Having the beneficial effect that for above-mentioned technical proposal is portrayed by the way that the video frame of monitor video is carried out mesh coordinate, is drawn Need to measure the image of video frame position.
As shown in figs. 4 a-4 c, vehicle dynamic position analysis method in the traffic accident, it is preferred that the S3 includes:
S3-1 intercepts the time series frame image of a wherein accident vehicle in monitor video picture, chooses a thing Therefore the fixed subpoint of one or more of the vehicle on road surface reads mark point pixel coordinate position and analyzes this as mark point Accident vehicle enters the driving trace after accident section, measures an accident vehicle tracing point using the grid coordinate system of foundation Coordinate on ground;
S3-2, intercept another vehicle of accident monitoring video frame time series frame image, analyze another vehicle into Driving trace after entering accident section, using another vehicle ground one or more subpoints as mark point, analysis Another vehicle measures another track of vehicle point on ground in driving trace before the accident happened, using the grid coordinate system of foundation The coordinate in face;
S3-3, the when m- distance change trend of analysis accident vehicle mark point to reference axis, to obtain accident vehicle The driving status such as speed, traveling lane, driving direction;
Accident vehicle is collected with the video frame images a scene of the accident, obtains the two vehicles by S3-4 Relative positional relationship,
The non-security braking Distance Calculation formula of another vehicle is as follows at this time:
Wherein, s1For another non-security braking distance of vehicle, g is acceleration of gravity, and μ is another vehicle and ground Face coefficient of friction, k are coefficient of friction correction factor, and t is brake reaction time;
S3-5 takes photo by plane and just penetrates top view mark vehicle location, m- position when according to the accident vehicle of grid coordinate system measurement Relationship is transformed into take photo by plane and just penetrate on top view, marks the accident vehicle position opposite with road surface of equidimension, spacing sequentially in time Set relational graph.
Having the beneficial effect that for above-mentioned technical proposal can carry out accurate position point to the traffic accident with monitor video Analysis, and combine to take photo by plane and just take the photograph top view mark accident material time point accident vehicle position, more intuitively, clearly express accident Change in process, is conducive to traffic control department confirmation of responsibility and all parties understand accident and pass through.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any One or more embodiment or examples in can be combined in any suitable manner.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that: not A variety of change, modification, replacement and modification can be carried out to these embodiments in the case where being detached from the principle of the present invention and objective, this The range of invention is defined by the claims and their equivalents.

Claims (5)

1. vehicle dynamic position analysis method in a kind of traffic accident, which comprises the steps of:
S1 is taken photo by plane mode by scene, scene of the accident Aerial Images is obtained, in ground survey road dimensions and floor line length Carry out comprehensive data acquisition;
S2, obtains monitor video data, and the monitor video image during interception accident is chosen in the plane of monitor video image Road Two pairs of orthogonal parallel marking lines carry out grid dividing, form road surface grid coordinate system, carry out at calibration to grid coordinate system Reason and error evaluation carry out grid to the monitor video image comprising several accident vehicles and measure determining accident vehicle in single width prison Control the accurate location in video image;
S3 analyzes driving trace, speed variation, brake safe distance, traveling lane and the driving direction of several accident vehicles Variation, by several accident vehicles by grid coordinate system positioning, temporally dot sequency is plotted to take photo by plane and just penetrates top view and correspond to position It sets and is analyzed, to obtain the integrated information of traffic accident.
2. vehicle dynamic position analysis method in traffic accident according to claim 1, which is characterized in that the S1 packet It includes:
Unmanned plane accident section, size, the floor line length data of measurement road;It is just penetrated and is taken photo by plane using unmanned plane high-altitude Accident section obtains clear, the complete scene of the accident and overlooks panorama sketch.
3. vehicle dynamic position analysis method in traffic accident according to claim 2, which is characterized in that the S1 is also wrapped It includes:
Scene of the accident reconstruction process, acquires the floor line and road dimensions data in incident crossing section, and infrared rays survey value will Measurement accuracy evaluation criterion as monitor video image lattice measured value handles nobody using unmanned plane accident section Machine is taken photo by plane sequence image, is obtained the Three-dimension Reconstruction Model of accident section, is measured to the graticule distance in reconstruction model, three-dimensional Model measurement value and site infrare line measured value are used as the reference frame of monitor video image lattice measured value simultaneously;
Scene of the accident road surface size is measured, is overlooked in the scene of the accident taken photo by plane and carries out scene of the accident road surface ruler in panorama sketch The intersection of crossing and side curb is established road surface coordinate system as coordinate origin first, then measures the scene of the accident by very little mark The width of each runway, the length of floor line.
4. vehicle dynamic position analysis method in traffic accident according to claim 1, which is characterized in that the S2 packet It includes:
S2-A chooses in monitor video and is parallel to each other and vertical graticule for visible two groups, according to Cross ration invariability and end point Principle establishes road plane grid coordinate system in monitor video image, in the grid coordinate system plane, grid parallel lines it Between be equidistant;
S2-B calibrates grid coordinate system measured value, is corrected, and is with the grid measured value calibration of in grid one visible graticule Actual length value, reaches the absolute measured value calibration of the vertical and horizontal to grid measurement coordinate system, and obtain road plane can The grid coordinate system for measuring actual length is positioned for subsequent accident vehicle;
S2-C, grid coordinate system plane survey precision test, by the actual measured value of roadmarking and video pictures mesh coordinate It is that calculated value is compared;The length of three groups or more floor lines is surveyed in accident section, utilizes the measurement pair of road plane grid Length is answered, the relative error of measured value and actual value is calculated, determines the measurement error range of grid coordinate system plane.
5. vehicle dynamic position analysis method in traffic accident according to claim 1, which is characterized in that the S3 packet It includes:
S3-1 intercepts the time series frame image of a wherein accident vehicle in monitor video picture, chooses an accident vehicle The fixed subpoints of one or more on road surface are used as mark point, and reading mark point pixel coordinate position analyzes an accident Vehicle enters the driving trace after accident section, measures an accident vehicle tracing point on ground using the grid coordinate system of foundation The coordinate in face;
S3-2 intercepts the time series frame image of another vehicle of accident monitoring video frame, analyzes another vehicle and enter thing Therefore the driving trace behind section, using another vehicle ground one or more subpoints as mark point, it is another to analyze this One vehicle measures another track of vehicle point on ground in driving trace before the accident happened, using the grid coordinate system of foundation Coordinate;
S3-3, the when m- distance change trend of analysis accident vehicle mark point to reference axis, to obtain the speed of accident vehicle The driving status such as degree, traveling lane, driving direction;
Accident vehicle is collected with the video frame images a scene of the accident, obtains the opposite of the two vehicles by S3-4 Positional relationship,
The non-security braking Distance Calculation formula of another vehicle is as follows at this time:
Wherein, s1For another non-security braking distance of vehicle, g is acceleration of gravity, and μ is that another vehicle rubs with ground Coefficient is wiped, k is coefficient of friction correction factor, and t is brake reaction time;
S3-5 takes photo by plane and just penetrates top view mark vehicle location, and m- position is closed when according to the accident vehicle of grid coordinate system measurement System, is transformed into take photo by plane and just penetrate on top view, marks equidimension, the accident vehicle of spacing and road surface relative position sequentially in time Relational graph.
CN201611197921.7A 2016-12-22 2016-12-22 Vehicle dynamic position analysis method in traffic accident Expired - Fee Related CN106781476B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611197921.7A CN106781476B (en) 2016-12-22 2016-12-22 Vehicle dynamic position analysis method in traffic accident

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611197921.7A CN106781476B (en) 2016-12-22 2016-12-22 Vehicle dynamic position analysis method in traffic accident

Publications (2)

Publication Number Publication Date
CN106781476A CN106781476A (en) 2017-05-31
CN106781476B true CN106781476B (en) 2019-08-20

Family

ID=58897145

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611197921.7A Expired - Fee Related CN106781476B (en) 2016-12-22 2016-12-22 Vehicle dynamic position analysis method in traffic accident

Country Status (1)

Country Link
CN (1) CN106781476B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
IT202100002741A1 (en) * 2021-02-08 2022-08-08 Think2Future S R L METHOD OF RECONSTRUCTION OF THE DYNAMICS OF ROAD ACCIDENTS

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107292282B (en) * 2017-07-04 2019-10-11 西安交通大学 A kind of vehicle checking method updated based on semantic reasoning and space-time memory
CN109323691B (en) * 2017-07-31 2022-08-09 华为技术有限公司 Positioning system and positioning method
CN108320348A (en) * 2018-02-07 2018-07-24 广州道安信息科技有限公司 The generation method and computer installation of traffic accident dynamic image, computer readable storage medium
CN108830767A (en) * 2018-05-21 2018-11-16 尹云镭 Accident vehicle travel speed and accident origin cause of formation aided analysis method
CN108777070A (en) * 2018-06-14 2018-11-09 浙江希仁通信技术有限公司 The road method of real-time and system sampled based on track grid and vehicle
CN108877237B (en) * 2018-07-27 2020-07-14 长安大学 Vehicle running speed integrated resolving system and method based on monitoring video image
CN110211177A (en) * 2019-06-05 2019-09-06 视云融聚(广州)科技有限公司 Camera picture linear goal refers to northern method, electronic equipment and storage medium
CN110286248A (en) * 2019-06-26 2019-09-27 贵州警察学院 A kind of vehicle speed measuring method based on video image
CN111047712A (en) * 2019-12-18 2020-04-21 南京诺联计算机科技有限公司 Method for synthesizing road design drawing and aerial photography real-scene special effect
CN110969875B (en) * 2019-12-19 2022-06-24 深圳市哈工大交通电子技术有限公司 Method and system for road intersection traffic management
CN111341097B (en) * 2020-02-13 2022-05-20 中交第一公路勘察设计研究院有限公司 Traffic data acquisition method based on unmanned aerial vehicle video
CN111383462A (en) * 2020-03-19 2020-07-07 天津职业技术师范大学(中国职业培训指导教师进修中心) New traffic accident scene video speed measurement method based on four-point plane homography
CN111768339A (en) * 2020-06-29 2020-10-13 广西翼界科技有限公司 Rapid splicing method for aerial images of unmanned aerial vehicle
CN112035518B (en) * 2020-08-28 2022-07-15 深圳平安医疗健康科技服务有限公司 Method and device for judging major accident occurrence place and computer equipment
CN112053572A (en) * 2020-09-07 2020-12-08 重庆同枥信息技术有限公司 Vehicle speed measuring method, device and system based on video and distance grid calibration
CN112487907B (en) * 2020-11-23 2022-12-20 北京理工大学 Dangerous scene identification method and system based on graph classification
CN113658144B (en) * 2021-08-20 2023-06-27 中国公路工程咨询集团有限公司 Method, device, equipment and medium for determining geometric information of pavement diseases
CN115729269B (en) * 2022-12-27 2024-02-20 深圳市逗映科技有限公司 Unmanned aerial vehicle intelligent recognition system based on machine vision
CN116740660B (en) * 2023-08-11 2023-11-21 深圳市明世弘生电子科技有限公司 Vehicle data processing method and system based on AI technology

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5628033A (en) * 1995-09-28 1997-05-06 Triodyne, Inc. Accident investigation and reconstruction mapping with aerial photography
JP2001188986A (en) * 1999-12-30 2001-07-10 Hiroshi Tanaka Method for measuring vehicle travel speed and traffic volume on road by aerial photography
CN1734519A (en) * 2004-08-12 2006-02-15 现代奥途纳特株式会社 Emergency safety service system and method using telematics system
CN103400498A (en) * 2013-08-14 2013-11-20 中国人民解放军第三军医大学第三附属医院 Accident spot map generation method based on electronic map and data acquisition system
CN103366555B (en) * 2013-07-01 2015-06-17 中国人民解放军第三军医大学第三附属医院 Aerial image-based traffic accident scene image rapid generation method and system
US9103671B1 (en) * 2007-11-29 2015-08-11 American Vehicular Sciences, LLC Mapping techniques using probe vehicles

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5628033A (en) * 1995-09-28 1997-05-06 Triodyne, Inc. Accident investigation and reconstruction mapping with aerial photography
JP2001188986A (en) * 1999-12-30 2001-07-10 Hiroshi Tanaka Method for measuring vehicle travel speed and traffic volume on road by aerial photography
CN1734519A (en) * 2004-08-12 2006-02-15 现代奥途纳特株式会社 Emergency safety service system and method using telematics system
US9103671B1 (en) * 2007-11-29 2015-08-11 American Vehicular Sciences, LLC Mapping techniques using probe vehicles
CN103366555B (en) * 2013-07-01 2015-06-17 中国人民解放军第三军医大学第三附属医院 Aerial image-based traffic accident scene image rapid generation method and system
CN103400498A (en) * 2013-08-14 2013-11-20 中国人民解放军第三军医大学第三附属医院 Accident spot map generation method based on electronic map and data acquisition system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
UAV序列图像在交通事故场景重建中的应用研究;聂瑞;《万方数据知识服务平台》;20161103;正文第7-23页 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
IT202100002741A1 (en) * 2021-02-08 2022-08-08 Think2Future S R L METHOD OF RECONSTRUCTION OF THE DYNAMICS OF ROAD ACCIDENTS

Also Published As

Publication number Publication date
CN106781476A (en) 2017-05-31

Similar Documents

Publication Publication Date Title
CN106781476B (en) Vehicle dynamic position analysis method in traffic accident
US20200344414A1 (en) Three dimensional image capture system for imaging building facades using a digital camera, a near-infrared camera, and laser range finder
CN103778681B (en) A kind of vehicle-mounted highway cruising inspection system and data acquisition and disposal route
CN104567708B (en) Full section of tunnel high speed dynamical health detection means and method based on active panoramic vision
CN104164829B (en) Detection method of road-surface evenness and intelligent information of road surface real-time monitoring system based on mobile terminal
CN104575003B (en) A kind of vehicle speed detection method based on traffic surveillance videos
US20140336928A1 (en) System and Method of Automated Civil Infrastructure Metrology for Inspection, Analysis, and Information Modeling
CN103630088B (en) High accuracy tunnel cross-section detection method based on bidifly light belt and device
CN104021676A (en) Vehicle positioning and speed measuring method based on dynamic video feature of vehicle
CN103837087B (en) Pantograph automatic testing method based on active shape model
CN101915852B (en) Velocity measurement method based on stereoscopic vision
CN109118776A (en) A method of vehicular load spatial distribution is identified based on bridge monitoring data
CN101694084A (en) Ground on-vehicle mobile detecting system
CN107818685A (en) A kind of method that state of motion of vehicle is obtained based on Vehicular video
CN106571038A (en) Method for fully automatically monitoring road
CN106296814A (en) Highway maintenance detection and virtual interactive interface method and system
CN103913600A (en) Device and method for detecting speed measurement errors of speedometer of motor vehicle
CN108107462A (en) The traffic sign bar gesture monitoring device and method that RTK is combined with high speed camera
CN103758017A (en) Detection method and detection system for three-dimensional pavement elevation grid numerical value
CN102306284B (en) Digital reconstruction method of traffic accident scene based on monitoring videos
CN106803350A (en) A kind of vehicle speed detection method and device based on camera shooting time difference
CN102506744A (en) High-rise structure dynamic displacement monitoring method based on digital image
CN105839505A (en) Three-dimensional visual detection method and detection device for road surface damage information
CN101777261B (en) Method for measuring vehicle speed based on CMOS digital camera with roll-type shutter
CN109556521B (en) Railway steel rail displacement detection method based on unmanned aerial vehicle

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
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20190820

Termination date: 20191222

CF01 Termination of patent right due to non-payment of annual fee