Path planning optimization in unmanned aerial vehicles using meta-heuristic algorithms: A systematic review

HS Yahia, AS Mohammed - Environmental Monitoring and Assessment, 2023 - Springer
Unmanned aerial vehicles (UAVs) have recently been increasingly popular in various areas,
fields, and applications. Military, disaster management, rescue operations, public services …

UAV path planning using optimization approaches: A survey

A Ait Saadi, A Soukane, Y Meraihi… - … Methods in Engineering, 2022 - Springer
Path planning is one of the most important steps in the navigation and control of Unmanned
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …

Path planning for UAV communication networks: Related technologies, solutions, and opportunities

J Luo, Z Wang, M Xia, L Wu, Y Tian, Y Chen - ACM Computing Surveys, 2023 - dl.acm.org
Path planning has been a hot and challenging field in unmanned aerial vehicles (UAV). With
the increasing demand of society and the continuous progress of technologies, UAV …

Drone-surveillance for search and rescue in natural disaster

B Mishra, D Garg, P Narang, V Mishra - Computer Communications, 2020 - Elsevier
Due to the increasing capability of drones and requirements to monitor remote areas, drone
surveillance is becoming popular. In case of natural disaster, it can scan the wide affected …

A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning

C Qu, W Gai, M Zhong, J Zhang - Applied soft computing, 2020 - Elsevier
Unmanned aerial vehicles (UAVs) have been used in wide range of areas, and a high-
quality path planning method is needed for UAVs to satisfy their applications. However …

A 64-mw dnn-based visual navigation engine for autonomous nano-drones

D Palossi, A Loquercio, F Conti… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Fully miniaturized robots (eg, drones), with artificial intelligence (AI)-based visual navigation
capabilities, are extremely challenging drivers of Internet-of-Things edge intelligence …

Maritime search and rescue based on group mobile computing for unmanned aerial vehicles and unmanned surface vehicles

T Yang, Z Jiang, R Sun, N Cheng… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Accidents often occur at sea, so effective maritime search and rescue is essential. In the
current process of sea search and rescue, the operation efficiency of large search and …

Private blockchain-envisioned security framework for AI-enabled IoT-based drone-aided healthcare services

M Wazid, B Bera, A Mitra, AK Das, R Ali - Proceedings of the 2nd ACM …, 2020 - dl.acm.org
Internet of Drones (IoD) architecture is designed to support a co-ordinated access for the
airspace using the unmanned aerial vehicles (UAVs) known as drones. Recently, IoD …

UAV stocktaking task-planning for industrial warehouses based on the improved hybrid differential evolution algorithm

H Liu, Q Chen, N Pan, Y Sun, Y An… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Tobacco industry companies need to conduct a regular inventory of finished products and
raw and auxiliary materials, and drones with radio frequency identification (RFID) readers …

Link-based multi-verse optimizer for text documents clustering

AK Abasi, AT Khader, MA Al-Betar, S Naim… - Applied Soft …, 2020 - Elsevier
Text document clustering (TDC) represents a key task in text mining and unsupervised
machine learning, which partitions a specific documents' collection into varied K-groups …