Browse State-of-the-Art › Trajectory Prediction
Trajectory Prediction
341 papers with code · 32 benchmarks · 35 datasets archive 2025-07-28
Trajectory Prediction is the problem of predicting the short-term (1-3 seconds) and long-term (3-5 seconds) spatial coordinates of various road-agents such as cars, buses, pedestrians, rickshaws, and animals, etc. These road-agents have different dynamic behaviors that may correspond to aggressive or conservative driving styles.
Source: Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
32 leaderboard tables shown for this task, 32 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 32 until expanded.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
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
35 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 35 until expanded.
Subtasks archive 2025-07-28
3 subtasks in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 341 papers with code (1,004 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 2021 4 repositories listed Syntology ran 0 of 7 samples · 7 unverified · 2 pointer-only (licence)Meanwhile, we use a sparse directed temporal graph to model the motion tendency, thus to facilitate the prediction based on the observed direction.
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21 Dec 2020 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Learning socially-aware motion representations is at the core of recent advances in multi-agent problems, such as human motion forecasting and robot navigation in crowds.
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20 Nov 2020 4 repositories listedWith the advancement in computer vision deep learning, systems now are able to analyze an unprecedented amount of rich visual information from videos to enable applications such as autonomous driving, socially-aware…
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19 Aug 2020 4 repositories listedOur key insight is that for prediction within a moderate time horizon, the future modes can be effectively captured by a set of target states.
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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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17 Jul 2019 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Despite the advancement in the technology of autonomous driving cars, the safety of a self-driving car is still a challenging problem that has not been well studied.
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18 Sep 2018 4 repositories listedAutonomous driving presents one of the largest problems that the robotics and artificial intelligence communities are facing at the moment, both in terms of difficulty and potential societal impact.
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19 Jun 2023 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)We introduce RedMotion, a transformer model for motion prediction in self-driving vehicles that learns environment representations via redundancy reduction.
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27 Sep 2022 3 repositories listed Syntology ran 3 of 15 samples · 12 unverifiedPredicting multimodal future behavior of traffic participants is essential for robotic vehicles to make safe decisions.
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6 Sep 2022 3 repositories listedThen, the behaviors of traffic light violations in SIND are recorded.
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20 Jul 2022 3 repositories listed Syntology ran 2 of 4 samples · 2 unverifiedA key idea of GP-Graph is to model both individual-wise and group-wise relations as graph representations.
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31 Dec 2021 3 repositories listedThe maneuver recognition model is realized by means of hidden Markov model, which could guarantee the accuracy of long-term prediction, and an IMM is adopted to guarantee the accuracy of both short-term prediction and…
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27 Feb 2020 3 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedBetter machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans.
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9 Jan 2020 3 repositories listed Syntology ran 4 of 6 samples · 2 unverifiedReasoning about human motion is an important prerequisite to safe and socially-aware robotic navigation.
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23 Nov 2019 3 repositories listed Syntology ran 0 of 8 samples · 8 unverifiedWe instead frame the trajectory prediction problem as classification over a diverse set of trajectories.
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15 May 2018 3 repositories listed Syntology ran 1 of 9 samples · 8 unverifiedForecasting the motion of surrounding vehicles is a critical ability for an autonomous vehicle deployed in complex traffic.
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14 Apr 2017 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)DESIRE effectively predicts future locations of objects in multiple scenes by 1) accounting for the multi-modal nature of the future prediction (i.
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18 Apr 2025 2 repositories listedService mobile robots are often required to avoid dynamic objects while performing their tasks, but they usually have only limited computational resources.
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18 Dec 2024 2 repositories listedAccurate human activity and trajectory prediction are crucial for ensuring safe and reliable human-robot interactions in dynamic environments, such as industrial settings, with mobile robots.
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23 Sep 2024 2 repositories listedTrajectory prediction is a crucial aspect of understanding human behaviors.
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1 May 2024 2 repositories listedThe availability of high-quality datasets is crucial for the development of behavior prediction algorithms in autonomous vehicles.
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12 Apr 2024 2 repositories listedWe identified the structural constraints and the use of large and strict rigid clusters as the main pitfall of the current approaches and we propose a novel clustering approach that allows for combination of overlapping…
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11 Feb 2024 2 repositories listedHowever, creating such a model is challenging when the integrity of trajectory features is compromised, i.
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18 Jul 2023 2 repositories listed Syntology ran 7 of 9 samples · 2 unverifiedIn this paper, we present EigenTrajectory (𝔼𝕋), a trajectory prediction approach that uses a novel trajectory descriptor to form a compact space, known here as 𝔼𝕋 space, in place of Euclidean space, for representing…
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11 Apr 2023 2 repositories listedThis research investigates the performance of various motion models in combination with numerical solvers for the prediction task.
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20 Mar 2023 2 repositories listed Syntology ran 1 of 2 samples · 1 unverifiedIn motion prediction tasks, maintaining motion equivariance under Euclidean geometric transformations and invariance of agent interaction is a critical and fundamental principle.
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10 Mar 2023 2 repositories listedWe introduce the \emph{Carolinas Highway Dataset (CHD\footnote{\emph{CHD} available at: \url{https://github.
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1 Feb 2023 2 repositories listedEnabling resilient autonomous motion planning requires robust predictions of surrounding road users' future behavior.
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30 Apr 2022 2 repositories listedBased on these observations, we propose Heterogeneous Driving Graph Transformer (HDGT), a backbone modelling the driving scene as a heterogeneous graph with different types of nodes and edges.
Syntology lines on 14 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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