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A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends,
  Vision , and Challenges

A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges

25 October 2023
O. Pal
Md Sakib Hossain Shovon
M. F. Mridha
Jungpil Shin
ArXivPDFHTML

Papers citing "A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges"

6 / 6 papers shown
Title
BlabberSeg: Real-Time Embedded Open-Vocabulary Aerial Segmentation
BlabberSeg: Real-Time Embedded Open-Vocabulary Aerial Segmentation
Haechan Mark Bong
Ricardo de Azambuja
Giovanni Beltrame
VLM
38
0
0
16 Oct 2024
Autonomous Advanced Aerial Mobility -- An End-to-end Autonomy Framework
  for UAVs and Beyond
Autonomous Advanced Aerial Mobility -- An End-to-end Autonomy Framework for UAVs and Beyond
Sakshi Mishra
Praveen Palanisamy
31
16
0
08 Nov 2023
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude
  Traffic Surveillance
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance
Ilker Bozcan
Erdal Kayacan
49
136
0
31 Jan 2020
Using Deep Networks for Drone Detection
Using Deep Networks for Drone Detection
Cemal Aker
Sinan Kalkan
ObjD
41
184
0
18 Jun 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
315
36,381
0
25 Aug 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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