[HTML][HTML] Yolo-based uav technology: A review of the research and its applications

C Chen, Z Zheng, T Xu, S Guo, S Feng, W Yao, Y Lan - Drones, 2023 - mdpi.com
In recent decades, scientific and technological developments have continued to increase in
speed, with researchers focusing not only on the innovation of single technologies but also …

DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism

AM Roy, J Bhaduri - Advanced Engineering Informatics, 2023 - Elsevier
Objective. Computer vision-based up-to-date accurate damage classification and
localization are of decisive importance for infrastructure monitoring, safety, and the …

[HTML][HTML] Drones for flood monitoring, mapping and detection: A bibliometric review

U Iqbal, MZB Riaz, J Zhao, J Barthelemy, P Perez - Drones, 2023 - mdpi.com
Floods are one of the most often occurring and damaging natural hazards. They impact the
society on a massive scale and result in significant damages. To reduce the impact of floods …

Cooperative motion planning and control for aerial-ground autonomous systems: Methods and applications

R Chai, Y Guo, Z Zuo, K Chen, HS Shin… - Progress in Aerospace …, 2024 - Elsevier
This review article offers an in-depth analysis of cooperative motion planning and control in
aerial-ground autonomous systems, emphasizing their methods and applications. It explores …

[HTML][HTML] Data-driven approaches to built environment flood resilience: a scientometric and critical review

P Rathnasiri, O Adeniyi, N Thurairajah - Advanced Engineering Informatics, 2023 - Elsevier
Environmental hazards such as floods significantly frustrate the functionality of built assets.
In addressing flood-induced challenges, data usage has become important. Despite existing …

A multi-agency coordination resource allocation and routing decision-making problem: A coordinated truck-and-drone DSS for improved wildfire detection coverage

M Momeni, H Soleimani, S Shahparvari… - International journal of …, 2023 - Elsevier
This study proposes a novel coordinated truck-drone system as a decision support system to
improve fire suppression operations. The problem in this study is formulated as a bi …

H-SwarmLoc: Efficient Scheduling for Localization of Heterogeneous MAV Swarm with Deep Reinforcement Learning

H Wang, X Chen, Y Cheng, C Wu, F Dang… - Proceedings of the 20th …, 2022 - dl.acm.org
Emergency rescue scenarios are considered to be high-risk scenarios. Using a micro air
vehicle (MAV) swarm to explore the environment can provide valuable environmental …

[HTML][HTML] Coarse-to-Fine Homography Estimation for Infrared and Visible Images

X Wang, Y Luo, Q Fu, Y He, C Shu, Y Wu, Y Liao - Electronics, 2023 - mdpi.com
Homography estimation for infrared and visible images is a critical and fundamental task in
multimodal image processing. Recently, the coarse-to-fine strategy has been gradually …

Collaboration of thermal sensors and drones in fighting wildfires; Mathematical model and heuristic approach

M Momeni, SMJM Al-e - Internet of Things, 2024 - Elsevier
The forest temperature is monitored utilizing thermal sensors. In the event of a temperature
increase, these sensors promptly notify firefighters, enabling timely intervention against fires …

A framework to enhance disaster debris estimation with AI and aerial photogrammetry

CS Cheng, L Luo, S Murphy, YC Lee, F Leite - International Journal of …, 2024 - Elsevier
This study addresses the critical need to enhance disaster preparedness and response,
focusing on hurricane impact assessment and debris estimation. Accurate assessments in …