A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction
暂无分享,去创建一个
Vladimir Pavlovic | Mubbasir Kapadia | Muhammad Usman | Sejong Yoon | Samuel S. Sohn | Mihee Lee | Seonghyeon Moon | Gang Qiao | V. Pavlovic | Mubbasir Kapadia | Muhammad Usman | Mihee Lee | Seonghyeon Moon | Sejong Yoon | Gang Qiao
[1] Dinesh Manocha,et al. A statistical similarity measure for aggregate crowd dynamics , 2012, ACM Trans. Graph..
[2] Florian Buettner,et al. Generative Models , 2009, Encyclopedia of Database Systems.
[3] Elsevier Sdol,et al. Transportation Research Part C: Emerging Technologies , 2009 .
[4] Wang Bing-Hong,et al. Evacuation behaviors at exit in CA model with force essentials: A comparison with social force model , 2006 .
[5] Yang An,et al. From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting , 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[6] Honglak Lee,et al. Learning Structured Output Representation using Deep Conditional Generative Models , 2015, NIPS.
[7] Silvio Savarese,et al. Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes , 2016, ECCV.
[8] Fei-Fei Li,et al. Socially-Aware Large-Scale Crowd Forecasting , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Marco Pavone,et al. The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Christoph Hölscher,et al. Taxonomy of Human Wayfinding Tasks: A Knowledge-Based Approach , 2009, Spatial Cogn. Comput..
[11] Ying Nian Wu,et al. Multi-Agent Tensor Fusion for Contextual Trajectory Prediction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] A. Schadschneider,et al. Enhanced Empirical Data for the Fundamental Diagram and the Flow Through Bottlenecks , 2008, 0810.1945.
[13] Dani Lischinski,et al. Crowds by Example , 2007, Comput. Graph. Forum.
[14] Petros Faloutsos,et al. Evaluating and optimizing level of service for crowd evacuations , 2015, MIG.
[15] Vladimir Pavlovic,et al. Laying the Foundations of Deep Long-Term Crowd Flow Prediction , 2020, ECCV.
[16] Jean Oh,et al. Social Attention: Modeling Attention in Human Crowds , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[17] Marco Pavone,et al. Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data , 2020, ECCV.
[18] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[19] Rachid Alami,et al. Human-aware robot navigation: A survey , 2013, Robotics Auton. Syst..
[20] Dinesh Manocha,et al. Reciprocal n-Body Collision Avoidance , 2011, ISRR.
[21] Luc Van Gool,et al. WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] J. Malik,et al. It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction , 2020, ECCV.
[23] Harry Gifford. Crowd Simulation , 2013 .
[24] Michael K. McBeath,et al. Right-Handers and Americans Favor Turning to the Right , 2002, Hum. Factors.
[25] Dariu M. Gavrila,et al. Human motion trajectory prediction: a survey , 2019, Int. J. Robotics Res..
[26] Silvio Savarese,et al. Social LSTM: Human Trajectory Prediction in Crowded Spaces , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Silvio Savarese,et al. Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[28] Glenn Reinman,et al. SteerBench: a benchmark suite for evaluating steering behaviors , 2009, Comput. Animat. Virtual Worlds.
[29] Helbing,et al. Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[30] Mubbasir Kapadia,et al. Fusion-Based Wayfinding Prediction Model for Multiple Information Sources , 2019, 2019 22th International Conference on Information Fusion (FUSION).
[31] Nuria Pelechano,et al. Simulating Heterogeneous Crowds with Interactive Behaviors , 2014, Eurographics.
[32] Luc Van Gool,et al. You'll never walk alone: Modeling social behavior for multi-target tracking , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[33] Gonzalo Ferrer,et al. Social-aware robot navigation in urban environments , 2013, 2013 European Conference on Mobile Robots.
[34] Hideki Nakamura,et al. Application of social force model to pedestrian behavior analysis at signalized crosswalk , 2014 .
[35] Alexandre Alahi,et al. Human Trajectory Forecasting in Crowds: A Deep Learning Perspective , 2020, IEEE Transactions on Intelligent Transportation Systems.
[36] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[37] Norman I. Badler,et al. Virtual Crowds: Steps Toward Behavioral Realism , 2015, Virtual Crowds: Steps Toward Behavioral Realism.
[38] Zhi Yan,et al. Online learning for human classification in 3D LiDAR-based tracking , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[39] H. Van Dyke Parunak,et al. A Survey of Environments and Mechanisms for Human-Human Stigmergy , 2005, E4MAS.