Particle-based pedestrian path prediction using LSTM-MDL models

G. Kitagawa, “Monte carlo filter and smoother for non-gaussian nonlinear state space models,” Journal of computational and graphical statistics , vol. 5, no. 1, pp. 1–25, 1996

1996

Earlier work this paper cites.

S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural computation , vol. 9, no. 8, pp. 1735–1780, 1997

1997

Earlier work this paper cites.

R. S. Sutton and A. G. Barto, Reinforcement learning: An introduction . MIT press Cambridge, 1998, vol. 1

1998

Earlier work this paper cites.

M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, “A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking,” IEEE Transactions on signal processing , vol. 50, no. 2, pp. 174–188, 2002

2002

Earlier work this paper cites.

C. M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics) . Secaucus, NJ, USA: Springer-Verlag New York, Inc., 2006

2006

Earlier work this paper cites.

J. D. Hol, T. B. Schon, and F. Gustafsson, “On resampling algorithms for particle filters,” in Nonlinear Statistical Signal Processing Workshop, 2006 IEEE . IEEE, 2006, pp. 79–82

2006

Earlier work this paper cites.

A. Lerner, Y. Chrysanthou, and D. Lischinski, “Crowds by example,” in Computer Graphics Forum , vol. 26, no. 3. Wiley Online Library, 2007, pp. 655–664

2007

Earlier work this paper cites.

S. Pellegrini, A. Ess, K. Schindler, and L. Van Gool, “You’ll never walk alone: Modeling social behavior for multi-target tracking,” in Computer Vision, 2009 IEEE 12th International Conference on . IEEE, 2009, pp. 261–268

2009

Cited alongside, same era.

K. M. Kitani, B. D. Ziebart, J. A. Bagnell, and M. Hebert, “Activity forecasting,” in European Conference on Computer Vision . Springer, 2012, pp. 201–214

2012

Cited alongside, same era.

A. Graves, “Generating sequences with recurrent neural networks,” arXiv preprint arXiv:1308.0850 , 2013

Original

2013

Cited alongside, same era.

G. Fishman, Monte Carlo: concepts, algorithms, and applications . Springer Science & Business Media, 2013

2013

Cited alongside, same era.

K. Cho, B. Van Merriënboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio, “Learning phrase representations using rnn encoder-decoder for statistical machine translation,” arXiv preprint arXiv:1406.1078 , 2014

A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese, “Social lstm: Human trajectory prediction in crowded spaces,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 961–971

2016

Later among the works it cites.

A. Robicquet, A. Sadeghian, A. Alahi, and S. Savarese, “Learning social etiquette: Human trajectory understanding in crowded scenes,” in European conference on computer vision . Springer, 2016, pp. 549–565

2016

Later among the works it cites.

F. Bartoli, G. Lisanti, L. Ballan, and A. Del Bimbo, “Context-aware trajectory prediction,” arXiv preprint arXiv:1705.02503 , 2017

Original

2017

Later among the works it cites.

N. Lee, W. Choi, P. Vernaza, C. B. Choy, P. H. Torr, and M. Chandraker, “Desire: Distant future prediction in dynamic scenes with interacting agents,” 2017

2017

Later among the works it cites.