Study on the Trajectory Positioning and Prediction Framework of Unmanned Aerial Vehicle based on Long Short-term Memory Neural Network-Reference-Cited by-同舟云学术

Study on the Trajectory Positioning and Prediction Framework of Unmanned Aerial Vehicle based on Long Short-term Memory Neural Network

Published:2022-08-24 Issue: Volume: Page:
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Container-title:2022 8th International Conference on Big Data and Information Analytics (BigDIA)
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Author:

Yang Zhanji¹,Kang Xiaolei¹,Li Shaopeng¹,Zhao Chenxi¹,Zhang Jizhu²,Gong Yuanhao³

Affiliation:

1. Naval Petty Officer Academy,Bengbu,China

2. Hangzhou Hikvision Digital Technology Co., Ltd.,Hangzhou,China

3. Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing Chongqing University of Posts and Telecommunications,Chongqing,China

Funder

National Natural Science Foundation of China

Chongqing University of Posts and Telecommunications

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9873850/9873995/09874109.pdf?arnumber=9874109

Reference17 articles.

1. Short-Term Traffic Flow Prediction Method for Urban Road Sections Based on Space–Time Analysis and GRU

2. Modeling Pilot's Sequential Maneuvering Decisions by a Multistage Influence Diagram

3. Key technology of laser's application in the low slow small target defense;han;Laser & Infrared,2013

4. Automatic Prediction of Stock Market Behavior Based on Time Series, Text Mining and Sentiment Analysis: A Systematic Review

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