CN107704667A - Simulate crowd movement's emulation mode, the device and system of sociability - Google Patents

Simulate crowd movement's emulation mode, the device and system of sociability Download PDF

Info

Publication number
CN107704667A
CN107704667A CN201710854185.6A CN201710854185A CN107704667A CN 107704667 A CN107704667 A CN 107704667A CN 201710854185 A CN201710854185 A CN 201710854185A CN 107704667 A CN107704667 A CN 107704667A
Authority
CN
China
Prior art keywords
individual
sociability
speed
information
change value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710854185.6A
Other languages
Chinese (zh)
Other versions
CN107704667B (en
Inventor
张桂娟
黄丽君
陆佃杰
刘弘
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.)
Shandong Normal University
Original Assignee
Shandong Normal University
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 Shandong Normal University filed Critical Shandong Normal University
Priority to CN201710854185.6A priority Critical patent/CN107704667B/en
Publication of CN107704667A publication Critical patent/CN107704667A/en
Application granted granted Critical
Publication of CN107704667B publication Critical patent/CN107704667B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T13/00Animation
    • G06T13/203D [Three Dimensional] animation
    • G06T13/403D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The present invention relates to a kind of crowd movement's emulation mode for simulating sociability, including:Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual information includes the position coordinates of individual, the velocity attitude and velocity amplitude of individual;The sociability factor of influence of presenting set cluster moderate is set, each individual sociability direction change value is calculated according to sociability factor of influence and individual information;The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, the individual speed direction after being updated, according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude generation crowd movement's emulation.

Description

Simulate crowd movement's emulation mode, the device and system of sociability
Technical field
The present invention relates to a kind of crowd movement's emulation mode, device and system for simulating sociability.
Background technology
Large-scale public place accident takes place frequently, how quickly, safety evacuation crowd be security fields research focus Problem.Crowd movement's emulation has instructing crowd evacuation, formulate urgent prediction scheme, Scenario Design and video display amusement etc. It is widely applied.At present, crowd simulation emulation be largely focused on how to carry out large-scale crowd collision avoid, Yi Jiru In terms of what improves simulation efficiency, the modeling of the social feature of crowd movement, such as sociability have ignored.Although based on video Method extracts colony's individual movement behavior from real video, but can not describe the mass motion form of whole colony.Sociability The social feature of generally existing in group movement, show as individual assemble in groups, cause individual will fade away and The behavior of cluster will is deferred to, self-organizing, self-coordinating are showed inside colony and mutually merges, move consistent characteristic.Therefore, How to emulate sociability turns into the study hotspot of group movement behavior simulation.
The content of the invention
The present invention is in order to solve the above problems, it is proposed that a kind of crowd movement's emulation mode for simulating sociability, constructs Crowd movement's framework of sociability is simulated, establishes the sociability model of crowd movement, and it is coupled with crowd movement, is obtained A kind of emulation mode that can simulate sociability crowd movement.
To achieve these goals, the present invention uses following scheme:
A kind of crowd movement's emulation mode for simulating sociability, including:
Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual Information includes the position coordinates of individual, the velocity attitude and velocity amplitude of individual;
The sociability factor of influence of presenting set cluster moderate is set, calculated according to sociability factor of influence and individual information every The sociability direction change value of one individual;
The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, after being updated Individual speed direction, crowd movement is generated according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude Emulation.
Further, each individual sociability direction change value bag is calculated according to sociability factor of influence and individual information Include:
The first sociability direction change value between individual and adjacent individual is calculated first, is imitated according to the propagation between individual Should, changed by the first sociability direction and be worth to individual the second sociability direction change value between secondary adjacent individual, repeatedly Iteration calculates N number of sociability direction and changed until obtaining the N sociabilities direction change value between individual and border individual The expectation of value, obtain the sociability direction change value of individual.
Further, the first sociability direction change value calculated between individual and adjacent individual includes:
The circle region using unit distance as radius is set, includes the individual and some adjoining in unique center in the round region Individual, the velocity attitude phasor difference between all of its neighbor individual and center individual is calculated, above-mentioned velocity attitude phasor difference is obtained and exists Expectation in circle region on all individuals, the expectation is made to multiply with sociability factor of influence, obtains the first sociability direction and changes Variate.
Further, calculating individual the second sociability direction change value between secondary adjacent individual includes:
The circle region using 2 times of unit distances as radius is set, unique center individual, Ruo Ganlin are included in the round region Connect individual and abut individual several times, the First Speed direction vector calculated between all of its neighbor individual and center individual is poor, institute The second speed direction vector for having secondary adjoining individual between each adjacent individual is poor, and First Speed direction vector is poor and second is fast Degree direction vector difference, which is added, obtains that third speed direction vector is poor, for representing the speed of all adjacent individuals and centers individual Direction vector is poor, expectation of the third speed direction vector difference in circle region on all individuals is obtained, by the expectation and cluster Property factor of influence make multiply, obtain the second sociability direction change value.
Sociability factor of influence in above-mentioned technical proposal reduces with the increase of distance between individual, for representing cluster Concentration degree is gradually reduced with distance increase between individual.
Further, the velocity amplitude obtains in the following way:
Desired speed, maximal rate and peak acceleration are set, individual institute is calculated using maximal rate and peak acceleration There is candidate's speed, it would be desirable to which speed obtains optimum speed as velocity amplitude compared with all candidate's speed.
Further, it would be desirable to which compared with all candidate's speed, obtain optimum speed includes speed as velocity amplitude:
Each individual expectation collision time is set, and user-defined weight is set for the expectation collision time Value, according to the individual expectation collision time under user-defined weighted value and individual desired speed, obtain the punishment of individual Measurement, the minimum value for punishing measurement according to individual determine optimum speed.
In above-mentioned technical scheme, time step can be set, update an individual speed side in each time step To, individual position coordinates and velocity amplitude, animation frame is generated, form crowd movement by each animation frame emulates.
The invention also provides a kind of storage device, is stored with a plurality of instruction, and the instruction is loaded and performed by processor Handle below:
Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual Information includes the position coordinates of individual, the velocity attitude and velocity amplitude of individual;
The sociability factor of influence of presenting set cluster moderate is set, calculated according to sociability factor of influence and individual information every The sociability direction change value of one individual;
The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, after being updated Individual speed direction, crowd movement is generated according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude Emulation.
The present invention has also been proposed a kind of crowd movement's analogue system for simulating sociability, including display, imitative for showing Real movement is drawn;Processor, for realizing each instruction;And storage device, for storing a plurality of instruction, the instruction is added by processor Carry and perform following processing:
Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual Information includes the position coordinates of individual, the velocity attitude and velocity amplitude of individual;
The sociability factor of influence of presenting set cluster moderate is set, calculated according to sociability factor of influence and individual information every The sociability direction change value of one individual;
The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, after being updated Individual speed direction, crowd movement is generated according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude Emulation.
Beneficial effects of the present invention:
The present invention proposes a kind of emulation mode and system for simulating crowd movement's sociability, and the present invention transports true crowd Cluster features during dynamic are incorporated in crowd movement's emulation, construct crowd movement's framework of simulation sociability:Establish crowd The sociability model of motion, and it is coupled with crowd movement, simulation result render finally by Realistic Rendering defeated Go out.This method can more really carry out the emulation of crowd movement, embody the cluster features during group movement, enhancing The sense of reality of crowd simulation result.
Brief description of the drawings
Fig. 1 is the flow chart that the present invention simplifies.
Embodiment:
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
It is noted that described further below is all exemplary, it is intended to provides further instruction to the application.It is unless another Indicate, all technologies used herein and scientific terminology are with usual with the application person of an ordinary skill in the technical field The identical meanings of understanding.
It should be noted that term used herein above is merely to describe embodiment, and be not intended to restricted root According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative It is also intended to include plural form, additionally, it should be understood that, when in this manual using term "comprising" and/or " bag Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
As shown in figure 1, a kind of exemplary embodiments of the present invention are a kind of crowd movement's emulation modes for simulating sociability, it is main Comprise the following steps:
Scene information is initialized first, then builds sociability crowd movement's model;By sociability crowd movement model with Individual information is combined, and is updated individual information, generation crowd movement's emulation, is obtained the realistic analogue simulation rendered.
It is main to include initializing scene information initialization and individual information for initializing scene information.
The positional information of scene barrier is initialized, there is shown the position coordinates of barrier.Secondly, according to obstacle Thing information is drawn to be initialized to Scene Semantics, draws the Roadmap figures of scene.This patent carrys out approximate retouch using Roadmap Scene Semantics information is stated, is used for the region representation for not having barrier in scene into figure (Graph) structure by Roadmap figures The topological diagram of cut-through thing is described.The topological diagram forms G=(V, E) by summit and side, wherein, V represents the set on summit, should Roadmap summits are the random coordinates points that avoiding obstacles generate in scene;The set on E expression Roadmap sides, this patent are any Two distances are l and line is connected to become Roadmap sides without the random point of barrier, are expressed as e (v1,v2) ∈ E, summit v1And vertex v2It is side e two end points.
Individual information include individual speed direction, individual position coordinates and individual velocity amplitude, individual position coordinates be Avoiding obstacles generate the position coordinates of individual at random in scene domain.
Then each individual sociability direction change value is calculated according to sociability factor of influence and individual information:
The first sociability direction change value between individual and adjacent individual is calculated first, is imitated according to the propagation between individual Should, changed by the first sociability direction and be worth to individual the second sociability direction change value between secondary adjacent individual, repeatedly Iteration calculates N number of sociability direction and changed until obtaining the N sociabilities direction change value between individual and border individual The expectation of value, obtain the sociability direction change value of individual.
First sociability direction change value is included unique by setting the circle region using unit distance as radius in circle region The individual and some adjacent individual in center, calculate the velocity attitude phasor difference between all of its neighbor individual and center individual, obtain Expectation of the above-mentioned velocity attitude phasor difference in circle region on all individuals, it would be desirable to make to multiply with sociability factor of influence, obtain First sociability direction change value.
Then individual the second sociability direction change value between secondary adjacent individual is calculated:Setting is with 2 times of unit distances For the circle region of radius, include that unique center is individual, some adjoining are individual and adjacent several times individual in circle region, calculating institute There is the First Speed direction vector between adjacent individual and center individual poor, all adjoinings are individual between each adjacent individual Second speed direction vector it is poor, First Speed direction vector difference with second speed direction vector is poor is added to obtain third speed side To phasor difference, for representing the velocity attitude phasor difference of all adjacent individuals and center individual, third speed direction arrow is obtained Expectation of the amount difference in circle region on all individuals, the expectation is made to multiply with sociability factor of influence, obtains the second sociability Direction change value.
In the present embodiment, can realize in accordance with the following steps:
The first step:In different scenes, different clustering capabilitys is presented in crowd movement.The application defines sociability influence Factor z is simultaneously initialized to it, and its value is arranged in (0,1), with reference to actual scene, the colonization of adjustment z value control crowds It is set to be consistent with real motion.
Second step:An adjacent distance L is defined, the relation for other individuals and center individual around describing.For appointing Anticipated individual i, and the border circular areas using i positions as the center of circle, using distance d as radius is defined as to i neighborhood, obtained in neighborhood I neighborhood NL(i) (L=1), the adjacent distance of neighbours' individual and i in contiguous range is L=1.
3rd step:Velocity attitude change value x is defined, is calculated according to formula (1) when abutting distance L=1, neighbours' individual j ∈NL(i) to the influence value of i velocity attitude.
4th step:When individual k is not i neighbours, this patent is defined between it can be in by the transmission between neighbours' individual with i Correlation is connect, the number of individuals that its neighbour passes through in for i to k transmittance process, L>1.Use NL(i) (L > 1) is represented and individual i Between adjacent distance be L all groups of individuals.Because sociability can decay in transmittance process, and consider successively The complexity of transmission, therefore it is L=5 that this patent, which sets the largest contiguous transmitted distance, it is believed that work as L>When 5, i of the individual to center The influence of individual is 0.The neighborhood N of L distances when calculating all L≤5L(i)。
5th step:As 1 < L≤5, the cluster direction change value influenceed indirectly is calculated according to formula (2)
6th step:Comprehensive all L are calculated final apart from influence of neighbours' individual to center individual i according to formula (3) I velocity attitude change value xi
Process 3:Crowd movement calculates, and sociability is added into crowd movement in this course calculates, and controls that crowd's is whole Body motion morphology.
Wherein, sociability factor of influence could be arranged to reduce with the increase of distance between individual, for representing cluster Concentration degree is gradually reduced with distance increase between individual, more embodies Realistic Rendering.
Velocity amplitude in above-described embodiment is using following specific computational methods:
To all individual Vpref、ω、VmaxAnd amaxInitialized, wherein, VprefBe individual desired speed, VmaxIt is The maximal rate of individual, amaxIt is the peak acceleration of individual, ω represents User Defined weight, for weighing the optimal of individual Candidate's speed.
1) maximal rate V is utilizedmaxWith peak acceleration amaxCandidate's speed collection V of individual is obtained according to formula (4)cand
Wherein, ViIndividual i present speed is represented,Individual i j-th candidates speed is represented,Represent individual The size of i j-th candidates speed,Represent candidate's speed relative to the size of the changing value of present speed, t tables Show time step,Represent maximal rate changing value in the unit interval.In formula, the size of candidate's speed is by maximal rate VmaxWith peak acceleration amaxRestriction.Therefore,It should be greater than 0 and be less than maximum speed value Vmax, and its velocity variations valueAlso should be less than
(2) according to the change value x for the individual i velocity attitudes being calculated in process twoiTo calculate new desired speed side To Dpref
(3) updated according to formula (5) and it is expected velocity attitude
(4) desired speed V is utilizedprefThe new speed v of subsequent time is updated according to formula (6)t+1
Wherein, penalty is penalty factor, and ω is User Defined weight,Represent it is expected collision time,Represent the variable quantity between desired speed and candidate's speed.In this step, we select to cause penalty factor Candidate's speed minimum penaltyNew speed v as subsequent timet+1
Judge whether individual reaches target, if individual returns to second step, continue to calculate lower a period of time without target is reached Carve new speed;Otherwise, individual reaches target, stop motion.
The present invention can be set to be walked by interlude of the set time, and individual information is updated in each time step, raw Into animation frame, crowd movement's result of calculation is generated by animation frame, in conjunction with Realistic Rendering technology, by crowd movement's result of calculation Rendered to obtain crowd evacuation emulation animation.
The present invention proposes a kind of emulation mode for simulating crowd movement's sociability, and this method is by true crowd movement's process In cluster features incorporate crowd movement emulation in.In order to realize this method, the present invention constructs crowd's fortune of simulation sociability Dynamic framework:The sociability model of crowd movement is established, and it is coupled with crowd movement, finally by Realistic Rendering to emulation As a result carry out rendering output.This method can more really carry out the emulation of crowd movement, during embodying group movement Cluster features, enhance the sense of reality of crowd simulation result.
In order to realize the above method, the invention also provides a kind of storage device, be stored with a plurality of instruction, the instruction by Processor loads and performs following processing:
Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual Information includes the position coordinates of individual, the velocity attitude and velocity amplitude of individual;
The sociability factor of influence of presenting set cluster moderate is set, calculated according to sociability factor of influence and individual information every The sociability direction change value of one individual;
The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, after being updated Individual speed direction, crowd movement is generated according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude Emulation.
During concrete application, also include this display being connected with processor, emulation animation can be shown, use Artistic Render component, crowd movement is emulated and carries out Realistic Rendering.
The present invention constructs crowd movement's framework of simulation sociability:Establish the sociability model of crowd movement, and by its Coupled with crowd movement, simulation result is carried out finally by Realistic Rendering to render output.This method can be more real The emulation of crowd movement is carried out, the cluster features during group movement is embodied, enhances the sense of reality of crowd simulation result.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, model not is protected to the present invention The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not Need to pay various modifications or deformation that creative work can make still within protection scope of the present invention.

Claims (10)

  1. A kind of 1. crowd movement's emulation mode for simulating sociability, it is characterised in that including:
    Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual information The velocity attitude and velocity amplitude of position coordinates including individual, individual;
    The sociability factor of influence of presenting set cluster moderate is set, each is calculated according to sociability factor of influence and individual information The sociability direction change value of body;
    The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, the individual after being updated Velocity attitude, according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude generation crowd movement's emulation.
  2. 2. according to the method for claim 1, it is characterised in that calculated according to sociability factor of influence and individual information each The sociability direction change value of individual includes:
    The first sociability direction change value between individual and adjacent individual is calculated first, according to the propagation effect between individual, Changed by the first sociability direction and be worth to individual the second sociability direction change value between secondary adjacent individual, iterated Until obtaining the N sociabilities direction change value between individual and border individual, N number of sociability direction change value is calculated It is expected, obtain the sociability direction change value of individual.
  3. 3. according to the method for claim 2, it is characterised in that calculate the first sociability side between individual and adjacent individual Include to change value:
    The circle region using unit distance as radius is set, includes the individual and some adjoining in unique center in the round region Body, the velocity attitude phasor difference between all of its neighbor individual and center individual is calculated, obtains above-mentioned velocity attitude phasor difference in circle Expectation in region on all individuals, the expectation is made to multiply with sociability factor of influence, obtains the change of the first sociability direction Value.
  4. 4. according to the method for claim 2, it is characterised in that calculate individual the second sociability between secondary adjacent individual Direction change value includes:
    Set the circle region using 2 times of unit distances as radius, include that unique center is individual, some adjoinings in the round region Body and several times adjacent individual, the First Speed direction vector calculated between all of its neighbor individual and center individual is poor, Suo Youci The adjacent individual second speed direction vector between each adjacent individual is poor, First Speed direction vector difference and second speed side It is added to obtain that third speed direction vector is poor to phasor difference, for representing the velocity attitudes of all adjacent individuals and centers individual Phasor difference, expectation of the third speed direction vector difference in circle region on all individuals is obtained, by the expectation and sociability shadow Ring the factor to make to multiply, obtain the second sociability direction change value.
  5. 5. according to the method any one of claim 1-4, it is characterised in that the sociability factor of influence is with individual Between distance increase and reduce, for represent cluster concentration degree between individual distance increase and be gradually reduced.
  6. 6. according to the method for claim 1, it is characterised in that the velocity amplitude obtains in the following way:
    Desired speed, maximal rate and peak acceleration are set, and calculating individual ownership using maximal rate and peak acceleration waits Select speed, it would be desirable to which speed obtains optimum speed as velocity amplitude compared with all candidate's speed.
  7. 7. according to the method for claim 6, it is characterised in that by desired speed compared with all candidate's speed, obtain Include to optimum speed as velocity amplitude:
    Each individual expectation collision time is set, and user-defined weighted value, root are set for the expectation collision time According to the individual expectation collision time under user-defined weighted value and individual desired speed, the punishment measurement of individual is obtained, Optimum speed is determined according to the minimum value of individual punishment measurement.
  8. 8. according to the method any one of claim 1-7, it is characterised in that set time step, each time step Individual speed direction of interior renewal, individual position coordinates and velocity amplitude, generate animation frame, and crowd's fortune is formed by each animation frame Dynamic emulation.
  9. 9. a kind of storage device, it is characterised in that be stored with a plurality of instruction, the instruction is loaded by processor and performed following Reason:
    Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual information The velocity attitude and velocity amplitude of position coordinates including individual, individual;
    The sociability factor of influence of presenting set cluster moderate is set, each is calculated according to sociability factor of influence and individual information The sociability direction change value of body;
    The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, the individual after being updated Velocity attitude, according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude generation crowd movement's emulation.
  10. 10. a kind of crowd movement's analogue system for simulating sociability, it is characterised in that including display, for showing that emulation is dynamic Draw;Processor, for realizing each instruction;And storage device, for storing a plurality of instruction, the instruction is loaded simultaneously by processor Perform following handle:
    Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual information The velocity attitude and velocity amplitude of position coordinates including individual, individual;
    The sociability factor of influence of presenting set cluster moderate is set, each is calculated according to sociability factor of influence and individual information The sociability direction change value of body;
    The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, the individual after being updated Velocity attitude, according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude generation crowd movement's emulation.
CN201710854185.6A 2017-09-20 2017-09-20 Crowd movement simulation method, device and system for simulating clustering Active CN107704667B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710854185.6A CN107704667B (en) 2017-09-20 2017-09-20 Crowd movement simulation method, device and system for simulating clustering

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710854185.6A CN107704667B (en) 2017-09-20 2017-09-20 Crowd movement simulation method, device and system for simulating clustering

Publications (2)

Publication Number Publication Date
CN107704667A true CN107704667A (en) 2018-02-16
CN107704667B CN107704667B (en) 2021-01-08

Family

ID=61173059

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710854185.6A Active CN107704667B (en) 2017-09-20 2017-09-20 Crowd movement simulation method, device and system for simulating clustering

Country Status (1)

Country Link
CN (1) CN107704667B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110956684A (en) * 2019-11-27 2020-04-03 山东师范大学 Crowd movement evacuation simulation method and system based on residual error network
CN111165395A (en) * 2020-01-08 2020-05-19 清华大学 Experimental method for simulating crowd flow by using zebra fish
CN112016660A (en) * 2020-07-03 2020-12-01 浙江大学 Physical force and data combined driven three-dimensional cluster behavior simulation method
CN112001937B (en) * 2020-09-07 2023-05-23 中国人民解放军国防科技大学 Group chase and escape method and device based on visual field perception

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040059548A1 (en) * 2002-09-09 2004-03-25 Marios Kagarlis Method of simulating movement of an autonomous entity through an environment
CN101714185A (en) * 2009-12-22 2010-05-26 中国建筑科学研究院建筑防火研究所 Automatic simulation method for building disaster evacuation
CN104008562A (en) * 2014-06-06 2014-08-27 东南大学 User-oriented planned virtual crowd simulation framework
CN104732014A (en) * 2015-02-26 2015-06-24 北京交通大学 Hierarchical crowd simulation method and system used for complex scene
US9159152B1 (en) * 2011-07-18 2015-10-13 Motion Reality, Inc. Mapping between a capture volume and a virtual world in a motion capture simulation environment
CN107016358A (en) * 2017-03-24 2017-08-04 上海电力学院 Intermediate density scene microcommunity real-time detection method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040059548A1 (en) * 2002-09-09 2004-03-25 Marios Kagarlis Method of simulating movement of an autonomous entity through an environment
CN101714185A (en) * 2009-12-22 2010-05-26 中国建筑科学研究院建筑防火研究所 Automatic simulation method for building disaster evacuation
US9159152B1 (en) * 2011-07-18 2015-10-13 Motion Reality, Inc. Mapping between a capture volume and a virtual world in a motion capture simulation environment
CN104008562A (en) * 2014-06-06 2014-08-27 东南大学 User-oriented planned virtual crowd simulation framework
CN104732014A (en) * 2015-02-26 2015-06-24 北京交通大学 Hierarchical crowd simulation method and system used for complex scene
CN107016358A (en) * 2017-03-24 2017-08-04 上海电力学院 Intermediate density scene microcommunity real-time detection method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
BOLEI ZHOU ET AL: "Measuring Crowd Collectiveness", 《 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE》 *
胡清梅: "大型公共建筑环境中人群拥挤机理及群集行为特性的研究", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110956684A (en) * 2019-11-27 2020-04-03 山东师范大学 Crowd movement evacuation simulation method and system based on residual error network
CN111165395A (en) * 2020-01-08 2020-05-19 清华大学 Experimental method for simulating crowd flow by using zebra fish
CN112016660A (en) * 2020-07-03 2020-12-01 浙江大学 Physical force and data combined driven three-dimensional cluster behavior simulation method
CN112016660B (en) * 2020-07-03 2023-11-14 浙江大学 Physical force and data combined driving three-dimensional cluster behavior simulation method
CN112001937B (en) * 2020-09-07 2023-05-23 中国人民解放军国防科技大学 Group chase and escape method and device based on visual field perception

Also Published As

Publication number Publication date
CN107704667B (en) 2021-01-08

Similar Documents

Publication Publication Date Title
CN111260762B (en) Animation implementation method and device, electronic equipment and storage medium
CN107704667A (en) Simulate crowd movement's emulation mode, the device and system of sociability
CN107667331B (en) Shared haptic interaction and user safety in shared space multi-person immersive virtual reality
CN103679264B (en) Crowd evacuation paths planning method based on artificial fish-swarm algorithm
CN107480320B (en) Crowd evacuation simulation method and system based on topological map and visual influence
CN111223170B (en) Animation generation method and device, electronic equipment and storage medium
CN109543285B (en) Crowd evacuation simulation method and system integrating data driving and reinforcement learning
CN104599305B (en) A kind of two three-dimensional animation producing methods combined
CN101893935A (en) Cooperative construction method for enhancing realistic table-tennis system based on real rackets
CN104462686A (en) Network museum visiting system and realization method thereof
CN107665269A (en) Quick crowd evacuation emulation method and device based on geography information
WO2020236201A1 (en) Modification of animated characters
CN106780707A (en) The method and apparatus of global illumination in simulated scenario
Song et al. Virtual Reality (VR) technology and landscape architecture
CN103310478A (en) Generation method of diversified virtual crowds
CN103793552A (en) Real-time dynamic generating method for local particle spring model with deformed soft tissues
CN107563490A (en) A kind of crowd's diversity emulation mode based on concern power model
Prima et al. Virtual camera movement with particle swarm optimization and local regression
CN115222847A (en) Animation data generation method and device based on neural network and related products
Hocevar et al. From their environment to their behavior: a procedural approach to model groups of virtual agents
CN107767433A (en) A kind of system of exploitation and composition 3D animations
Torrens Geographical agents in three dimensions
Jæger et al. Can't see the Forest for the Trees: Perceiving Realism of Procedural Generated Trees in First-Person Games.
US20230419607A1 (en) Simulation of rigid bodies
CN104680576A (en) Operation room roaming system based on EON

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