Learning-based Wildfire Tracking with Unmanned Aerial Vehicles-Reference-Cited by-同舟云学术

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Learning-based Wildfire Tracking with Unmanned Aerial Vehicles

Published:2022-06-08 Issue: Volume: Page:
ISSN:
Container-title:2022 American Control Conference (ACC)
language:
Short-container-title:

Author:

Jia Qiong¹,Xin Ming¹,Hu Xiaolin²,Chao Haiyang³

Affiliation:

1. University of Missouri,Department of Mechanical and Aerospace Engineering,Columbia,MO,USA,65201

2. Georgia State University,Department of Computer Science,Atlanta,Georgia,USA,30302

3. University of Kansas,Department of Aerospace Engineering,Lawrence,Kansas,USA,66045

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867512.pdf?arnumber=9867512

Reference15 articles.

1. Hierarchical deep neural network for multivariate regression

2. Information Space Receding Horizon Control for Multisensor Tasking Problems

3. Distributed Wildfire Surveillance with Autonomous Aircraft Using Deep Reinforcement Learning

4. Unmanned Aerial Vehicles for Photography: Analysis of Orthophoto Images Over the Territory of Lithuania;visockiene;International Journal of Aerospace Engineering,2016

5. DEVS-FIRE: design and application of formal discrete event wildfire spread and suppression models

Cited by 1 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. Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation;International Journal of Remote Sensing;2023-09-17

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