VTGNet: A Vision-Based Trajectory Generation Network for Autonomous Vehicles in Urban Environments-Reference-Cited by-同舟云学术

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VTGNet: A Vision-Based Trajectory Generation Network for Autonomous Vehicles in Urban Environments

Published:2021-09 Issue:3 Volume:6 Page:419-429
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Cai Peide^ORCID,Sun Yuxiang^ORCID,Wang Hengli^ORCID,Liu Ming^ORCID

Funder

National Natural Science Foundation of China

Collaborative Research Fund by Research Grants Council Hong Kong

HKUST-SJTU Joint Research Collaboration Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/9523423/09240067.pdf?arnumber=9240067

Cited by 36 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

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2. Forecasting Semantic Bird-Eye-View Maps for Autonomous Driving;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. PID-like IT2FLC-Based Autonomous Vehicle Control in Urban Areas;Arabian Journal for Science and Engineering;2024-05-14

4. Gaussian Backbone-Based Spherical Evolutionary Algorithm with Cross-search for Engineering Problems;Journal of Bionic Engineering;2024-03

5. DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection;Knowledge-Based Systems;2024-02

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