Vehicle Trajectory Prediction with Gaussian Process Regression in Connected Vehicle Environment$\star$-Reference-Cited by-同舟云学术

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Vehicle Trajectory Prediction with Gaussian Process Regression in Connected Vehicle Environment$\star$

Published:2018-06 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Goli Sepideh Afkhami,Far Behrouz H.,Fapojuwo Abraham O.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8472796/8500355/08500614.pdf?arnumber=8500614

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VSFL: Trajectory prediction framework based on validity-aware semi-asynchronous federated learning in internet of vehicles;Computer Communications;2024-08

2. Multidimensional graph transformer networks for trajectory prediction in urban road intersections;Journal of Membrane Computing;2024-07-09

3. Incremental Learning-Based Real-Time Trajectory Prediction for Autonomous Driving via Sparse Gaussian Process Regression;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

4. Federated Gaussian Process: Convergence, Automatic Personalization and Multi-Fidelity Modeling;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-06

5. Expressway Vehicle Trajectory Prediction Considering Historical Path Dependencies;Sustainability;2024-05-31

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