Diff-rntraj: A structure-aware diffusion model for road network-constrained trajectory generation

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Deep learning for trajectory data management and mining: A survey and beyond

W Chen, Y Liang, Y Zhu, Y Chang, K Luo… - arxiv preprint arxiv …, 2024 - arxiv.org
Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …
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A survey on diffusion models for time series and spatio-temporal data

Y Yang, M **, H Wen, C Zhang, Y Liang, L Ma… - arxiv preprint arxiv …, 2024 - arxiv.org
The study of time series data is crucial for understanding trends and anomalies over time,
enabling predictive insights across various sectors. Spatio-temporal data, on the other hand …
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A gentle introduction and tutorial on deep generative models in transportation research

S Choi, Z **, SW Ham, J Kim, L Sun - arxiv preprint arxiv:2410.07066, 2024 - arxiv.org
Deep Generative Models (DGMs) have rapidly advanced in recent years, becoming
essential tools in various fields due to their ability to learn complex data distributions and …
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Diffusion models for intelligent transportation systems: A survey

M Peng, K Chen, X Guo, Q Zhang, H Lu… - arxiv preprint arxiv …, 2024 - arxiv.org
Intelligent Transportation Systems (ITS) are vital in modern traffic management and
optimization, significantly enhancing traffic efficiency and safety. Recently, diffusion models …
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TrajAgent: An Agent Framework for Unified Trajectory Modelling

Y Du, J Feng, J Zhao, Y Li - arxiv preprint arxiv:2410.20445, 2024 - arxiv.org
Trajectory modeling, which includes research on trajectory data pattern mining and future
prediction, has widespread applications in areas such as life services, urban transportation …
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A Survey of Generative Techniques for Spatial-Temporal Data Mining

Q Zhang, H Wang, C Long, L Su, X He, J Chang… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper focuses on the integration of generative techniques into spatial-temporal data
mining, considering the significant growth and diverse nature of spatial-temporal data. With …
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FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction

J You, R Gan, W Tang, Z Huang, J Liu, Z Jiang… - arxiv preprint arxiv …, 2024 - arxiv.org
Vehicle trajectory prediction is crucial for advancing autonomous driving and advanced
driver assistance systems (ADAS). Although deep learning-based approaches-especially …
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Automated Trajectory Generation for Robotic Surgical Tasks

Z Yang, R Zhang, J Chen, X Zhou… - 2024 International …, 2024 - ieeexplore.ieee.org
Robots nowadays have been widely adopted in Minimally Invasive Surgery (MIS), and task
autonomy is one of the key steps towards autonomous robotic surgery. In surgical tasks, the …
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