Pedestrian Trajectory Prediction

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

3 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

30 shown of 47 papers with code (121 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.

• Deep Residual Learning for Image Recognition
  10 Dec 2015 484 repositories listed Syntology ran 230 of 377 samples · 147 unverified · 187 pointer-only (licence)
  Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.
• SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
  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.
• Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction
  20 Jul 2022 3 repositories listed Syntology ran 2 of 4 samples · 2 unverified
  A key idea of GP-Graph is to model both individual-wise and group-wise relations as graph representations.
• SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction
  23 Sep 2024 2 repositories listed
  Trajectory prediction is a crucial aspect of understanding human behaviors.
• EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
  20 Mar 2023 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  In motion prediction tasks, maintaining motion equivariance under Euclidean geometric transformations and invariance of agent interaction is a critical and fundamental principle.
• AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
  25 Mar 2021 2 repositories listed Syntology ran 4 of 17 samples · 13 unverified
  Instead, we would prefer a method that allows an agent's state at one time to directly affect another agent's state at a future time.
• GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought
  10 Mar 2025 1 repository listed
  While Large Language Models (LLMs) have recently shown impressive results in reasoning tasks, their application to pedestrian trajectory prediction remains challenging due to two key limitations: insufficient use of…
• Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
  4 Feb 2025 1 repository listed
  We propose the Edge-to-Edge-Node-to-Node Graph Convolution (E2E-N2N-GCN), a novel dual-graph network that jointly models explicit N2N social interactions among pedestrians and implicit E2E influence propagation across…
• DSTIGCN: Deformable Spatial-Temporal Interaction Graph Convolution Network for Pedestrian Trajectory Prediction
  16 Jan 2025 1 repository listed
  The module autonomously learns the spatial-temporal interaction relationships of pedestrians through the offset of multiple asymmetric deformable convolution kernels in both spatial and temporal dimensions, thereby…
• Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction Forecasting
  3 Jan 2025 1 repository listed
  Additionally, it is important for a forecasting model to be able to adapt to groups unseen at train time, as even the same individual behaves differently across different groups.
• Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting
  5 Dec 2024 1 repository listed
  Pedestrian trajectory prediction remains a challenge for autonomous systems, particularly due to the intricate dynamics of social interactions.
• Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
  31 Oct 2024 1 repository listed
  To address this challenge, we present TrajImpute, a pedestrian trajectory prediction dataset that simulates missing coordinates in the observed trajectory, enhancing real-world applicability.
• Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information
  23 Sep 2024 1 repository listed
  We propose RNTransformer, a generic model that utilizes crowd trip information to capture global information on social interactions.
• Snapshot: Towards Application-centered Models for Pedestrian Trajectory Prediction in Urban Traffic Environments
  3 Sep 2024 1 repository listed
  This paper explores pedestrian trajectory prediction in urban traffic while focusing on both model accuracy and real-world applicability.
• IMGCN: Interpretable Masked Graph Convolution Network for Pedestrian Trajectory Prediction
  13 Aug 2024 1 repository listed
  The IMGCN utilizes interpretable information such as the pedestrian view area, distance, and motion direction to intelligently mask interaction features, resulting in more precise modeling of social interaction and…
• SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
  27 Feb 2024 1 repository listed
  Pedestrian trajectory prediction is the key technology in many applications for providing insights into human behavior and anticipating human future motions.
• STIGCN: spatial–temporal interaction‑aware graph convolution network for pedestrian trajectory prediction
  30 Dec 2023 1 repository listed
  STIGCN considers the correlation between social interaction and pedestrian movement factors to achieve more accurate interaction modeling.
• Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
  18 Dec 2023 1 repository listed
  In many real-world applications, from robotics to pedestrian trajectory prediction, there is a need to predict multiple real-valued outputs to represent several potential scenarios.
• SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction
  9 Oct 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Analyzing and forecasting trajectories of agents like pedestrians and cars in complex scenes has become more and more significant in many intelligent systems and applications.
• TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
  11 Aug 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Firstly, the previous definitions of robustness in trajectory prediction are ambiguous.
• Trajectory Unified Transformer for Pedestrian Trajectory Prediction
  1 Jan 2023 1 repository listed
  Pedestrian trajectory prediction is an essentially connecting link to understanding human behavior.
• G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System
  15 Oct 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Navigating dynamic physical environments without obstructing or damaging human assets is of quintessential importance for social robots.
• Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems
  14 Oct 2022 1 repository listed
  These real-world CPS applications need a robust, lightweight path prediction that can provide a universal network architecture for multiple subjects (e.
• T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction
  22 Sep 2022 1 repository listed
  To support first-person view trajectory prediction research, we present T2FPV, a method for constructing high-fidelity first-person view (FPV) datasets given a real-world, top-down trajectory dataset; we showcase our…
• Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction
  12 Jun 2022 1 repository listed Syntology ran 4 of 10 samples · 6 unverified · 10 pointer-only (licence)
  Pedestrian trajectory prediction is an essential and challenging task for a variety of real-life applications such as autonomous driving and robotic motion planning.
• Social Interpretable Tree for Pedestrian Trajectory Prediction
  26 May 2022 1 repository listed
  Understanding the multiple socially-acceptable future behaviors is an essential task for many vision applications.
• Non-Probability Sampling Network for Stochastic Human Trajectory Prediction
  25 Mar 2022 1 repository listed Syntology ran 2 of 3 samples · 1 unverified
  Capturing multimodal natures is essential for stochastic pedestrian trajectory prediction, to infer a finite set of future trajectories.
• Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
  25 Mar 2022 1 repository listed
  Human behavior has the nature of indeterminacy, which requires the pedestrian trajectory prediction system to model the multi-modality of future motion states.
• SocialVAE: Human Trajectory Prediction using Timewise Latents
  15 Mar 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Predicting pedestrian movement is critical for human behavior analysis and also for safe and efficient human-agent interactions.
• Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
  6 Mar 2022 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  AMD is a metric that quantifies how close the whole generated samples are to the ground truth.

Syntology lines on 12 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.