Empirical Comparison of Different Pedestrian Trajectory Prediction Methods at High Densities
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7976-9_29
Reference14 articles.
1. Schadschneider, A., Chraibi, M., Seyfried, A., Tordeux, A., & Zhang, J. Pedestrian dynamics: From empirical results to modeling. Crowd Dynamics, Volume 1 (pp. 63–102). Birkhäuser, Cham. (2018)
2. Chraibi, M., Tordeux, A., Schadschneider, A., & Seyfried, A. (2018). Modelling of pedestrian and evacuation dynamics. Encyclopedia of complexity and systems science, 1–22.
3. Hughes, R. A continuum theory for the flow of pedestrians. Transportation Research Part B: Methodological. 36, 507-535 (2002)
4. Korbmacher, R. & Tordeux, A. Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-Based Approaches. IEEE Transactions on Intelligent Transportation Systems. (2022)
5. Alahi, A., Goel, K., Ramanathan, V., Robicquet, A., Fei-Fei, L. & Savarese, S. Social LSTM: Human Trajectory Prediction in Crowded Spaces. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 961–971 (2016)
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