mlsanityData to 14 Oct 2026

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction

arXiv 2411.16457 ↗First posted 25 Nov 2024cs.RO cs.AIcited by 0

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Abstract (arXiv)

In this paper, we present a novel trajectory prediction model for autonomous driving, combining a Characterized Diffusion Module and a Spatial-Temporal Interaction Network to address the challenges posed by dynamic and heterogeneous traffic environments. Our model enhances the accuracy and reliability of trajectory predictions by incorporating uncertainty estimation and complex agent interactions. Through extensive experimentation on public datasets such as NGSIM, HighD, and MoCAD, our model significantly outperforms existing state-of-the-art methods. We demonstrate its ability to capture the underlying spatial-temporal dynamics of traffic scenarios and improve prediction precision, especially in complex environments. The proposed model showcases strong potential for application in real-world autonomous driving systems.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 32 of its 53 references that are in the map. First posted on arXiv 25 Nov 2024.

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32 of 53 references.

References · 32

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
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  4. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,585
  5. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,355
  6. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
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  10. 2017DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agentscited by 310
  11. 2018The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systemscited by 277
  12. 2022Diffusion Probabilistic Modeling for Video Generationcited by 238
20 more
  1. 2018Convolutional Social Pooling for Vehicle Trajectory Predictioncited by 221
  2. 2019Multiple Futures Predictioncited by 178
  3. 2019Multi-Agent Tensor Fusion for Contextual Trajectory Predictioncited by 131
  4. 2017Imitating Driver Behavior with Generative Adversarial Networkscited by 93
  5. 2018An LSTM Network for Highway Trajectory Predictioncited by 81
  6. 2018Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMscited by 77
  7. 2020Diverse and Admissible Trajectory Forecasting through Multimodal Context Understandingcited by 68
  8. 2020Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimationcited by 57
  9. 2017Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Networkcited by 56
  10. 2018An Introductory Survey on Attention Mechanisms in NLP Problemscited by 32
  11. 2023GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Modelscited by 32
  12. 2023BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Drivingcited by 28
  13. 2019Uncertainty-Aware Driver Trajectory Prediction at Urban Intersectionscited by 26
  14. 2021Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidancecited by 21
  15. 2024A Cognitive-Based Trajectory Prediction Approach for Autonomous Drivingcited by 20
  16. 2024Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environmentscited by 13
  17. 2020Multi-Head Attention based Probabilistic Vehicle Trajectory Predictioncited by 12
  18. 2024MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Drivingcited by 12
  19. 2024A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environmentcited by 10
  20. 2021Hierarchical Motion Encoder-Decoder Network for Trajectory Forecastingcited by 4

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