Recurrent LSTM-based UAV Trajectory Prediction with ADS-B Information-Reference-Cited by-同舟云学术

Recurrent LSTM-based UAV Trajectory Prediction with ADS-B Information

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Zhang Yifan¹,Jia Ziye¹,Dong Chao¹,Liu Yuntian¹,Zhang Lei¹,Wu Qihui¹

Affiliation:

1. Nanjing University of Aeronautics and Astronautics,The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology

Funder

Primary Research & Developement Plan of Jiangsu Province

Natural Science Foundation of Jiangsu Province of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10000919.pdf?arnumber=10000919

Reference18 articles.

1. ST-Seq2Seq: A Spatio-Temporal Feature-Optimized Seq2Seq Model for Short-Term Vessel Trajectory Prediction

2. Vehicle Trajectory Prediction based on Social Generative Adversarial Network for Self-Driving Car Applications

3. Trajectory prediction of UAV Based on LSTM

4. Trajectory Prediction of UAV Swarm based on Neural Relational Inference Model without Physical Control Law

5. Learning to Forget: Continual Prediction with LSTM

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