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A Deep Learning Approach to Drone Monitoring

A Deep Learning Approach to Drone Monitoring

4 December 2017
Yueru Chen
Pranav Aggarwal
Jongmoo Choi
C.-C. Jay Kuo
ArXiv (abs)PDFHTML

Papers citing "A Deep Learning Approach to Drone Monitoring"

4 / 4 papers shown
Title
MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature
  Drone Threats
MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats
Shenghai Yuan
Yizhuo Yang
T. Nguyen
Thien-Minh Nguyen
Jianfei Yang
Fen Liu
Jianping Li
Han Wang
Lihua Xie
79
19
0
06 Feb 2024
DronePose: The identification, segmentation, and orientation detection
  of drones via neural networks
DronePose: The identification, segmentation, and orientation detection of drones via neural networks
S. Scholes
Alice Ruget
Germán Mora-Martín
Feng Zhu
Istvan Gyongy
Jonathan Leach
91
2
0
10 Dec 2021
Sim2Air - Synthetic aerial dataset for UAV monitoring
Sim2Air - Synthetic aerial dataset for UAV monitoring
A. Barišić
Frano Petrić
Stjepan Bogdan
89
22
0
11 Oct 2021
A Comprehensive Approach for UAV Small Object Detection with
  Simulation-based Transfer Learning and Adaptive Fusion
A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion
Rui Chen
Youwei Guo
Huafei Zheng
Hongyu Jiang
82
15
0
04 Sep 2021
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