time-series-9
Trajectory Forecasting
3260 papers • 126 benchmarks • 313 datasets
Trajectory forecasting is a sequential prediction task, where a forecasting model predicts future trajectories of all moving agents (humans, vehicles, etc.) in a scene, based on their past trajectories and/or the scene context. (Illustrative figure from Social NCE: Contrastive Learning of Socially-aware Motion Representations)
(Image credit: Papersgraph)
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TrajNet++
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ActEV
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Most implemented papers
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Justin Johnson, S. Savarese, Li Fei-Fei, Alexandre Alahi, Agrim Gupta•Wed Mar 28 2018
A recurrent sequence-to-sequence model observes motion histories and predicts future behavior, using a novel pooling mechanism to aggregate information across people, and outperforms prior work in terms of accuracy, variety, collision avoidance, and computational complexity.
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