Multi-scale conditional transition map: Modeling spatial-temporal dynamics of human movements with local and long-term correlations
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[1] Takayuki Kanda,et al. Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept , 2012, Robotics: Science and Systems.
[2] Wolfram Burgard,et al. Occupancy Grid Models for Robot Mapping in Changing Environments , 2012, AAAI.
[3] Jari Saarinen,et al. Conditional transition maps: Learning motion patterns in dynamic environments , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[4] Maja J. Mataric,et al. Temporal occupancy grids: a method for classifying the spatio-temporal properties of the environment , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[5] Sven Koenig,et al. Fast replanning for navigation in unknown terrain , 2005, IEEE Transactions on Robotics.
[6] Martial Hebert,et al. Activity Forecasting , 2012, ECCV.
[7] Jari Saarinen,et al. Independent Markov chain occupancy grid maps for representation of dynamic environment , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[8] Kai Oliver Arras,et al. I want my coffee hot! Learning to find people under spatio-temporal constraints , 2011, 2011 IEEE International Conference on Robotics and Automation.
[9] Yoshua Bengio,et al. Markovian Models for Sequential Data , 2004 .
[10] Sebastian Thrun,et al. Probabilistic robotics , 2002, CACM.
[11] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[12] Wolfram Burgard,et al. Learning Motion Patterns of People for Compliant Robot Motion , 2005, Int. J. Robotics Res..
[13] Yoshua Bengio,et al. Input-output HMMs for sequence processing , 1996, IEEE Trans. Neural Networks.
[14] Hans P. Moravec,et al. High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.
[15] Mohan M. Trivedi,et al. A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[16] L. R. Rabiner,et al. An introduction to the application of the theory of probabilistic functions of a Markov process to automatic speech recognition , 1983, The Bell System Technical Journal.
[17] Jari Saarinen,et al. 3D normal distributions transform occupancy maps: An efficient representation for mapping in dynamic environments , 2013, Int. J. Robotics Res..
[18] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[19] Rares Ambrus,et al. Modeling motion patterns of dynamic objects by IOHMM , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[20] Kai Oliver Arras,et al. Place-dependent people tracking , 2011, Int. J. Robotics Res..
[21] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[22] Hugh F. Durrant-Whyte,et al. A solution to the simultaneous localization and map building (SLAM) problem , 2001, IEEE Trans. Robotics Autom..