Motion Forecasting

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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.

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

12 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 88 papers with code (205 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.

• Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
  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.
• Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
  12 Jul 2022 4 repositories listed
  In this paper, we present Wayformer, a family of attention based architectures for motion forecasting that are simple and homogeneous.
• Social NCE: Contrastive Learning of Socially-aware Motion Representations
  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.
• TNT: Target-driveN Trajectory Prediction
  19 Aug 2020 4 repositories listed
  Our key insight is that for prediction within a moderate time horizon, the future modes can be effectively captured by a set of target states.
• trajdata: A Unified Interface to Multiple Human Trajectory Datasets
  26 Jul 2023 3 repositories listed
  The field of trajectory forecasting has grown significantly in recent years, partially owing to the release of numerous large-scale, real-world human trajectory datasets for autonomous vehicles (AVs) and pedestrian…
• TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
  31 May 2022 3 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  At the time of submission, TransFuser outperforms all prior work on the CARLA leaderboard in terms of driving score by a large margin.
• V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
  17 Aug 2020 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In this paper, we explore the use of vehicle-to-vehicle (V2V) communication to improve the perception and motion forecasting performance of self-driving vehicles.
• One Thousand and One Hours: Self-driving Motion Prediction Dataset
  25 Jun 2020 3 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to date, containing over 1, 000 hours of data.
• Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
  27 Feb 2020 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Better machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans.
• Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
  9 Jan 2020 3 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  Reasoning about human motion is an important prerequisite to safe and socially-aware robotic navigation.
• Argoverse: 3D Tracking and Forecasting with Rich Maps
  6 Nov 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In our baseline experiments, we illustrate how detailed map information such as lane direction, driveable area, and ground height improves the accuracy of 3D object tracking and motion forecasting.
• Motion Forecasting in Continuous Driving
  8 Oct 2024 2 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  Motion forecasting for agents in autonomous driving is highly challenging due to the numerous possibilities for each agent's next action and their complex interactions in space and time.
• Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View Datasets
  1 May 2024 2 repositories listed
  The availability of high-quality datasets is crucial for the development of behavior prediction algorithms in autonomous vehicles.
• Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
  17 Mar 2024 2 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  Traditional methods of motion forecasting primarily encode vector information of maps and historical trajectory data of traffic participants, lacking a comprehensive understanding of overall traffic semantics, which in…
• Frozen Transformers in Language Models Are Effective Visual Encoder Layers
  19 Oct 2023 2 repositories listed Syntology ran 8 of 16 samples · 8 unverified
  This paper reveals that large language models (LLMs), despite being trained solely on textual data, are surprisingly strong encoders for purely visual tasks in the absence of language.
• Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
  19 Aug 2023 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  This study explores the application of self-supervised learning (SSL) to the task of motion forecasting, an area that has not yet been extensively investigated despite the widespread success of SSL in computer vision…
• HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
  1 Jan 2022 2 repositories listed
  To tackle this challenge, we propose Hierarchical Vector Transformer (HiVT) for fast and accurate multi-agent motion prediction.
• Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
  29 Nov 2021 2 repositories listed Syntology ran 2 of 10 samples · 8 unverified
  Learning behavioral patterns from observational data has been a de-facto approach to motion forecasting.
• MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
  29 Nov 2021 2 repositories listed
  Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving.
• Are socially-aware trajectory prediction models really socially-aware?
  24 Aug 2021 2 repositories listed
  An attack is a small yet carefully-crafted perturbations to fail predictors.
• DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets
  22 Aug 2021 2 repositories listed Syntology ran 2 of 4 samples · 2 unverified
  In this work, we propose an anchor-free and end-to-end trajectory prediction model, named DenseTNT, that directly outputs a set of trajectories from dense goal candidates.
• Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
  19 Apr 2021 2 repositories listed Syntology ran 9 of 15 samples · 6 unverified
  How should representations from complementary sensors be integrated for autonomous driving?
• Learning Lane Graph Representations for Motion Forecasting
  27 Jul 2020 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  We propose a motion forecasting model that exploits a novel structured map representation as well as actor-map interactions.
• Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
  25 Sep 2019 2 repositories listed
  Nevertheless, visual monitoring of fetal motion based on displayed slices, and navigation at the level of stacks-of-slices is inefficient.
• Peeking into the Future: Predicting Future Person Activities and Locations in Videos
  11 Feb 2019 2 repositories listed Syntology ran 2 of 27 samples · 25 unverified · 22 pointer-only (licence)
  To facilitate the training, the network is learned with an auxiliary task of predicting future location in which the activity will happen.
• RetroMotion: Retrocausal Motion Forecasting Models are Instructable
  26 May 2025 1 repository listed
  Our experiments show that regular training of motion forecasting leads to the ability to follow goal-based instructions and to adapt basic directional instructions to the scene context.
• M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark
  10 May 2025 1 repository listed
  To our knowledge, M³CAD is the most comprehensive benchmark specifically tailored for cooperative multi-task autonomous driving research.
• TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows
  24 Jan 2025 1 repository listed
  At the same time, the motion of traffic participants is inherently uncertain.
• DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
  8 Oct 2024 1 repository listed
  Accurate motion forecasting for traffic agents is crucial for ensuring the safety and efficiency of autonomous driving systems in dynamically changing environments.
• MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty
  4 Oct 2024 1 repository listed
  This paper introduces a Multi-modal Diffusion model for Motion Prediction (MDMP) that integrates and synchronizes skeletal data and textual descriptions of actions to generate refined long-term motion predictions with…

Syntology lines on 17 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.