mlsanityData to 7 Oct 2026

Diffusion-Based Environment-Aware Trajectory Prediction

arXiv 2403.11643 ↗First posted 18 Mar 2024cs.CV cs.LG cs.ROcited by 14

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Abstract (arXiv)

The ability to predict the future trajectories of traffic participants is crucial for the safe and efficient operation of autonomous vehicles. In this paper, a diffusion-based generative model for multi-agent trajectory prediction is proposed. The model is capable of capturing the complex interactions between traffic participants and the environment, accurately learning the multimodal nature of the data. The effectiveness of the approach is assessed on large-scale datasets of real-world traffic scenarios, showing that our model outperforms several well-established methods in terms of prediction accuracy. By the incorporation of differential motion constraints on the model output, we illustrate that our model is capable of generating a diverse set of realistic future trajectories. Through the use of an interaction-aware guidance signal, we further demonstrate that the model can be adapted to predict the behavior of less cooperative agents, emphasizing its practical applicability under uncertain traffic conditions.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 61 of its 88 references that are in the map. First posted on arXiv 18 Mar 2024.

Builds on

61 of 88 references.

References · 61

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  4. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  5. 2020Denoising Diffusion Implicit Modelscited by 9,655
  6. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  7. 2017Graph Attention Networkscited by 8,854
  8. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  9. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  10. 2022Classifier-Free Diffusion Guidancecited by 5,717
  11. 2016SGDR: Stochastic Gradient Descent with Warm Restartscited by 4,993
  12. 2018Neural Ordinary Differential Equationscited by 3,733
38 more
  1. 2016Gaussian Error Linear Units (GELUs)cited by 3,431
  2. 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 2,994
  3. 2019Fast Graph Representation Learning with PyTorch Geometriccited by 2,414
  4. 2014On the Properties of Neural Machine Translation: Encoder-Decoder Approachescited by 1,303
  5. 2022Diffusion Models: A Comprehensive Survey of Methods and Applicationscited by 1,107
  6. 2022Human Motion Diffusion Modelcited by 1,062
  7. 2021How Attentive are Graph Attention Networks?cited by 818
  8. 2022MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Modelcited by 768
  9. 2018Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networkscited by 687
  10. 2019DropEdge: Towards Deep Graph Convolutional Networks on Node Classificationcited by 679
  11. 2022Equivariant Diffusion for Molecule Generation in 3Dcited by 666
  12. 2021Action-Conditioned 3D Human Motion Synthesis with Transformer VAEcited by 497
  13. 2020Learning Lane Graph Representations for Motion Forecastingcited by 380
  14. 2021Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecastingcited by 332
  15. 2021AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecastingcited by 327
  16. 2018SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraintscited by 296
  17. 2018Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networkscited by 289
  18. 2018The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systemscited by 276
  19. 2016A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehiclescited by 251
  20. 2018Convolutional Social Pooling for Vehicle Trajectory Predictioncited by 221
  21. 2022FLAME: Free-form Language-based Motion Synthesis & Editingcited by 217
  22. 2021Multimodal Motion Prediction with Stacked Transformerscited by 207
  23. 2022Diffusion-based Time Series Imputation and Forecasting with Structured State Space Modelscited by 195
  24. 2022Scalable Adaptive Computation for Iterative Generationcited by 190
  25. 2022Stochastic Trajectory Prediction via Motion Indeterminacy Diffusioncited by 184
  26. 2023Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusioncited by 137
  27. 2019Multi-Agent Tensor Fusion for Contextual Trajectory Predictioncited by 131
  28. 2021Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversalscited by 112
  29. 2023DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Modelscited by 81
  30. 2019Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANscited by 78
  31. 2021Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Drivingcited by 73
  32. 2020Diverse and Admissible Trajectory Forecasting through Multimodal Context Understandingcited by 68
  33. 2022Human Trajectory Prediction via Neural Social Physicscited by 66
  34. 2022SocialVAE: Human Trajectory Prediction using Timewise Latentscited by 65
  35. 2023PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputationcited by 62
  36. 2023Scenario Diffusion: Controllable Driving Scenario Generation With Diffusioncited by 46
  37. 2019Graph Neural Networks for Modelling Traffic Participant Interactioncited by 42
  38. 2021Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Trackingcited by 35

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Citing papers per year: 2024: 5; 2025: 6; 2026: 3.

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  1. 2024Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting
  2. 2024Intention-aware Denoising Diffusion Model for Trajectory Prediction
  3. 2023A Diffusion-Model of Joint Interactive Navigation
  4. 2025CoPlanner: An Interactive Motion Planner with Contingency-Aware Diffusion for Autonomous Driving
  5. 2026Uncertainty-Aware Diffusion Model for Multimodal Highway Trajectory Prediction via DDIM Sampling
  6. 2025EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations
  7. 2021Scene Transformer: A unified architecture for predicting multiple agent trajectories
  8. 2024Versatile Behavior Diffusion for Generalized Traffic Agent Simulation