mlsanityData to 7 Oct 2026

OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets

arXiv 2010.00890 ↗First posted 2 Oct 2020cs.CVcited by 20

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Abstract (arXiv)

Human Trajectory Prediction (HTP) has gained much momentum in the last years and many solutions have been proposed to solve it. Proper benchmarking being a key issue for comparing methods, this paper addresses the question of evaluating how complex is a given dataset with respect to the prediction problem. For assessing a dataset complexity, we define a series of indicators around three concepts: Trajectory predictability; Trajectory regularity; Context complexity. We compare the most common datasets used in HTP in the light of these indicators and discuss what this may imply on benchmarking of HTP algorithms. Our source code is released on Github.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Oct 2020.

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Citing papers per year: 2021: 3; 2022: 4; 2023: 3; 2024: 2; 2025: 6; 2026: 2.

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  1. 2024UniTraj: A Unified Framework for Scalable Vehicle Trajectory Predictioncited by 51
  2. 2021Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approachescited by 30
  3. 2023trajdata: A Unified Interface to Multiple Human Trajectory Datasetscited by 25
  4. 2022A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directionscited by 21
  5. 2025Physical Plausibility-aware Trajectory Prediction via Locomotion Embodimentcited by 10
  6. 2022Under the Hood of Transformer Networks for Trajectory Forecastingcited by 8
  7. 2024Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowdscited by 6
  8. 2025TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolutioncited by 5
  9. 2025TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolutioncited by 5
  10. 2021DeepSocNav: Social Navigation by Imitating Human Behaviorscited by 3
  11. 2022SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectoriescited by 2
  12. 2021What we see and What we don't see: Imputing Occluded Crowd Structures from Robot Sensingcited by 1
8 more
  1. 2023GSGFormer: Generative Social Graph Transformer for Multimodal Pedestrian Trajectory Predictioncited by 1
  2. 2025Characterizing Structured versus Unstructured Environments based on Pedestrians' and Vehicles' Motion Trajectoriescited by 1
  3. 2025DAA*: Deep Angular A Star for Image-based Path Planningcited by 1
  4. 2022An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Predictioncited by 0
  5. 2023Development of a Realistic Crowd Simulation Environment for Fine-grained Validation of People Tracking Methodscited by 0
  6. 2025PEDRA: Evaluating the Realism of Pedestrian Dynamics in Video Generationcited by 0
  7. 2026Unveiling Transferability in Trajectory Prediction via Latent Scene Embeddingscited by 0
  8. 2026STRIDE: Automated Evaluation of Text-to-Trajectory Alignment across Diverse Contextscited by 0