Browse State-of-the-Art › Multi-future Trajectory Prediction
Multi-future Trajectory Prediction
9 papers with code · 0 benchmarks · 4 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (10 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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29 Mar 2018 8 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 4 pointer-only (licence)Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments.
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4 Apr 2020 4 repositories listedIn this work, we present Predicted Endpoint Conditioned Network (PECNet) for flexible human trajectory prediction.
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6 Mar 2022 1 repository listed Syntology ran 0 of 9 samples · 9 unverifiedAMD is a metric that quantifies how close the whole generated samples are to the ground truth.
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25 Mar 2021 1 repository listedWe propose to predict the future trajectories of observed agents (e.
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29 Jul 2020 1 repository listedBiTraP estimates the goal (end-point) of trajectories and introduces a novel bi-directional decoder to improve longer-term trajectory prediction accuracy.
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26 May 2020 1 repository listedUnderstanding human motion behaviour is a critical task for several possible applications like self-driving cars or social robots, and in general for all those settings where an autonomous agent has to navigate inside a…
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17 May 2020 1 repository listedAnticipating human motion in crowded scenarios is essential for developing intelligent transportation systems, social-aware robots and advanced video surveillance applications.
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13 Dec 2019 1 repository listed Syntology ran 2 of 3 samples · 1 unverifiedThe first contribution is a new dataset, created in a realistic 3D simulator, which is based on real world trajectory data, and then extrapolated by human annotators to achieve different latent goals.
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20 Apr 2019 1 repository listedWe show through experiments on real and synthetic data that the proposed method leads to generate more diverse samples and to preserve the modes of the predictive distribution.
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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