Pedestrian behavior prediction model with a convolutional LSTM encoder–decoder
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DOI: 10.1016/j.physa.2020.125132
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References listed on IDEAS
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- Xu, Huanting & He, Zhaocheng & Chen, Yiyang & Wu, Zhigang & Zhu, Yiting, 2024. "Behavior recognition of non-motorized transport at intersections using dual-channel grid model based on disordered trajectory point data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 650(C).
- Korbmacher, Raphael & Dang, Huu-Tu & Tordeux, Antoine, 2024. "Predicting pedestrian trajectories at different densities: A multi-criteria empirical analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
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Keywords
Pedestrian behavior model; Trajectory prediction; Long short-term memory; Convolution; Encoder–decoder;All these keywords.
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