Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization
暂无分享,去创建一个
Vladimir Pavlovic | Petros Faloutsos | Sejong Yoon | Mubbasir Kapadia | Kaidong Hu | P. Faloutsos | V. Pavlovic | M. Kapadia | Sejong Yoon | Kaidong Hu
[1] Vladlen Koltun,et al. Computer-generated residential building layouts , 2010, SIGGRAPH 2010.
[2] Norman I. Badler,et al. Virtual Crowds: Steps Toward Behavioral Realism , 2015, Virtual Crowds: Steps Toward Behavioral Realism.
[3] Donald H. House,et al. Modeling architectural design objectives in physically based space planning , 2002 .
[4] Jeremy J. Michalek,et al. Architectural layout design optimization , 2002 .
[5] Petros Faloutsos,et al. Interactive Architectural Design with Diverse Solution Exploration , 2021, IEEE Transactions on Visualization and Computer Graphics.
[6] Daniel G. Aliaga,et al. Urban Walkability Design Using Virtual Population Simulation , 2018, Comput. Graph. Forum.
[7] Yoshua Bengio,et al. Maxout Networks , 2013, ICML.
[8] I-Cheng Yeh,et al. Architectural layout optimization using annealed neural network , 2006 .
[9] Per Galle. An algorithm for exhaustive generation of building floor plans , 1981, CACM.
[10] Dinesh Manocha,et al. PLEdestrians: a least-effort approach to crowd simulation , 2010, SCA '10.
[11] Pradyumn Kumar Shukla. Genetically Optimized Architectural Designs for Control of Pedestrian Crowds , 2009, ACAL.
[12] Glenn Reinman,et al. Footstep navigation for dynamic crowds , 2011, SI3D.
[13] Jeremy J. Michalek,et al. Interactive design optimization of architectural layouts , 2002 .
[14] Romualdas Bausys,et al. Optimization of architectural layout by the improved genetic algorithm , 2005 .
[15] Marshall F. Tappen,et al. Learning pedestrian dynamics from the real world , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[16] Rahul Narain,et al. Aggregate dynamics for dense crowd simulation , 2009, SIGGRAPH 2009.
[17] Dinesh Manocha,et al. Interactive Crowd Content Generation and Analysis Using Trajectory-Level Behavior Learning , 2015, 2015 IEEE International Symposium on Multimedia (ISM).
[18] Leslie K. Norford,et al. A design optimization tool based on a genetic algorithm , 2002 .
[19] Norman I. Badler,et al. Multi-domain real-time planning in dynamic environments , 2013, SCA '13.
[20] Rodrigo C. Barros,et al. CrowdEst: a method for estimating (and not simulating) crowd evacuation parameters in generic environments , 2019, The Visual Computer.
[21] Yun Kyu Yi,et al. Performance based architectural design optimization: Automated 3D space layout using simulated annealing , 2014 .
[22] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[23] Cécile Appert-Rolland,et al. Modeling crowd dynamics through coarse-grained data analysis. , 2018, Mathematical biosciences and engineering : MBE.
[24] Dinesh Manocha,et al. Parameter estimation and comparative evaluation of crowd simulations , 2014, Comput. Graph. Forum.
[25] Norman I. Badler,et al. Evaluating and Optimizing Evacuation Plans for Crowd Egress , 2017, IEEE Computer Graphics and Applications.
[26] Johannes Wallner,et al. Architectural geometry , 2007, Comput. Graph..
[27] Marcelo Kallmann,et al. Navigation meshes and real-time dynamic planning for virtual worlds , 2014, SIGGRAPH '14.
[28] Marcelo Kallmann,et al. Geometric and discrete path planning for interactive virtual worlds , 2016, SIGGRAPH Courses.
[29] Helbing,et al. Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[30] Dinesh Manocha,et al. Crowd Simulation Model Integrating "Physiology-Psychology-Physics" Factors , 2018, ArXiv.
[31] Dong-Ming Yan,et al. Computational network design from functional specifications , 2015, ACM Trans. Graph..
[32] Adrien Treuille,et al. Continuum crowds , 2006, SIGGRAPH 2006.
[33] Dinesh Manocha,et al. ClearPath: highly parallel collision avoidance for multi-agent simulation , 2009, SCA '09.
[34] Yiorgos Chrysanthou,et al. A Data‐Driven Framework for Visual Crowd Analysis , 2014, Comput. Graph. Forum.
[35] Petros Faloutsos,et al. Egocentric affordance fields in pedestrian steering , 2009, I3D '09.
[36] Petros Faloutsos,et al. CODE: Crowd‐optimized design of environments , 2017, Comput. Animat. Virtual Worlds.
[37] Dinesh Manocha,et al. Interactive Crowd-Behavior Learning for Surveillance and Training , 2016, IEEE Computer Graphics and Applications.
[38] Simon Breslav,et al. Simulating use scenarios in hospitals using multi-agent narratives , 2017 .
[39] Stephen J. Guy,et al. Crowd space , 2018, ACM Trans. Graph..
[40] Jessica K. Hodgins,et al. Reactive pedestrian path following from examples , 2004, The Visual Computer.
[41] Dinesh Manocha,et al. Reciprocal Velocity Obstacles for real-time multi-agent navigation , 2008, 2008 IEEE International Conference on Robotics and Automation.
[42] Dimitris N. Metaxas,et al. Eurographics/ Acm Siggraph Symposium on Computer Animation (2007) Group Behavior from Video: a Data-driven Approach to Crowd Simulation , 2022 .
[43] Larry D. Hostetler,et al. The estimation of the gradient of a density function, with applications in pattern recognition , 1975, IEEE Trans. Inf. Theory.
[44] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[45] Vladimir Pavlovic,et al. Characterizing the relationship between environment layout and crowd movement using machine learning , 2017, MIG.
[46] David Jason Gerber,et al. Designing-in performance: A framework for evolutionary energy performance feedback in early stage design , 2014 .
[47] Yong-Liang Yang,et al. Constraint-aware interior layout exploration for pre-cast concrete-based buildings , 2013, The Visual Computer.
[48] Dinesh Manocha,et al. Reciprocal Collision Avoidance and Multi-Agent Navigation for Video Games , 2012, MAPF@AAAI.
[49] Norman I. Badler,et al. GPU-based dynamic search on adaptive resolution grids , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[50] Wenjie Yang,et al. Performance-driven architectural design and optimization technique from a perspective of architects , 2013 .
[51] Norman I. Badler,et al. Dynamic search on the GPU , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[52] Glenn Reinman,et al. An Open Framework for Developing, Evaluating, and Sharing Steering Algorithms , 2009, MIG.
[53] Kun Zhou,et al. Crowd-driven mid-scale layout design , 2016, ACM Trans. Graph..
[54] Chi-Keung Tang,et al. Make it home: automatic optimization of furniture arrangement , 2011, SIGGRAPH 2011.
[55] Carol O'Sullivan,et al. Trending Paths: A New Semantic-Level Metric for Comparing Simulated and Real Crowd Data , 2017, IEEE Transactions on Visualization and Computer Graphics.
[56] Norman I. Badler,et al. Controlling individual agents in high-density crowd simulation , 2007, SCA '07.
[57] Norman I. Badler,et al. Planning approaches to constraint‐aware navigation in dynamic environments , 2015, Comput. Animat. Virtual Worlds.
[58] Alban Bassuet,et al. Computational and Optimization Design in Geometric Acoustics , 2014 .
[59] Norman I. Badler,et al. Path planning for coherent and persistent groups , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[60] John Locke,et al. Project discover: an application of generative design for architectural space planning , 2017 .
[61] Craig W. Reynolds,et al. A Distributed Behavioral Model , 1987 .
[62] Jan Knippers,et al. Advances in Architectural Geometry 2014 , 2014 .
[63] Dani Lischinski,et al. Crowds by Example , 2007, Comput. Graph. Forum.
[64] P. Torrens,et al. Building Agent‐Based Walking Models by Machine‐Learning on Diverse Databases of Space‐Time Trajectory Samples , 2011 .
[65] Michael W. Whittle,et al. Gait Analysis: An Introduction , 1986 .