Unmanned aerial vehicles for search and rescue: A survey

M Lyu, Y Zhao, C Huang, H Huang - Remote Sensing, 2023 - mdpi.com
In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their
flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) …

A review of the research and application of deep learning-based computer vision in structural damage detection

Z Lingxin, S Junkai, Z Baijie - Earthquake engineering and engineering …, 2022 - Springer
Damage detection is a key procedure in maintenance throughout structures' life cycles and
post-disaster loss assessment. Due to the complex types of structural damages and the low …

Collaborative multi-robot search and rescue: Planning, coordination, perception, and active vision

JP Queralta, J Taipalmaa, BC Pullinen, VK Sarker… - Ieee …, 2020 - ieeexplore.ieee.org
Search and rescue (SAR) operations can take significant advantage from supporting
autonomous or teleoperated robots and multi-robot systems. These can aid in map** and …

[HTML][HTML] Towards fully autonomous UAVs: A survey

T Elmokadem, AV Savkin - Sensors, 2021 - mdpi.com
Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This
has made them very popular for various military and civilian applications allowing us to …

Multi-UAV cooperative search based on reinforcement learning with a digital twin driven training framework

G Shen, L Lei, X Zhang, Z Li, S Cai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper considers the cooperative search for stationary targets by multiple unmanned
aerial vehicles (UAVs) with limited sensing range and communication ability in a dynamic …

Bridge inspection: Human performance, unmanned aerial systems and automation

S Dorafshan, M Maguire - Journal of Civil Structural Health Monitoring, 2018 - Springer
Unmanned aerial systems (UASs) have become of considerable private and commercial
interest for a variety of jobs and entertainment in the past 10 years. This paper is a literature …

Automated regional seismic damage assessment of buildings using an unmanned aerial vehicle and a convolutional neural network

C **ong, Q Li, X Lu - Automation in Construction, 2020 - Elsevier
A rapid assessment of the seismic damage to buildings can facilitate improved emergency
response and timely relief in earthquake-prone areas. In this study, an automated building …

Cooperative multi-UAV coverage mission planning platform for remote sensing applications

SD Apostolidis, PC Kapoutsis, AC Kapoutsis… - Autonomous …, 2022 - Springer
This paper proposes a novel mission planning platform, capable of efficiently deploying a
team of UAVs to cover complex-shaped areas, in various remote sensing applications …

GPS-denied UAV localization using pre-existing satellite imagery

H Goforth, S Lucey - 2019 International conference on robotics …, 2019 - ieeexplore.ieee.org
We present a method for localization of Unmanned Aerial Vehicles (UAVs) which is meant to
replace an onboard GPS system in the event of a noisy or unreliable GPS signal. Our …

Jamming detection and classification in OFDM-based UAVs via feature-and spectrogram-tailored machine learning

Y Li, J Pawlak, J Price, K Al Shamaileh, Q Niyaz… - Ieee …, 2022 - ieeexplore.ieee.org
In this paper, a machine learning (ML) approach is proposed to detect and classify jamming
attacks against orthogonal frequency division multiplexing (OFDM) receivers with …