Optimization for drone and drone-truck combined operations: A review of the state of the art and future directions
This paper surveys the state-of-the-art optimization approaches in the civil application of
drone operations (DO) and drone-truck combined operations (DTCO) including construction …
drone operations (DO) and drone-truck combined operations (DTCO) including construction …
Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey
Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with
significant market potential. UAVs may lead to substantial cost savings in, for instance …
significant market potential. UAVs may lead to substantial cost savings in, for instance …
Joint or decoupled optimization: Multi-UAV path planning for search and rescue
E Yanmaz - Ad Hoc Networks, 2023 - Elsevier
In this paper, we focus on path planning of drone teams deployed for search and rescue
missions. The goal of the mission is to detect a target, inform the rescue personnel at the …
missions. The goal of the mission is to detect a target, inform the rescue personnel at the …
A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems
This survey paper presents a holistic perspective on the state-of-the-art in the design of
guidance, navigation, and control systems for autonomous multi-rotor small unmanned …
guidance, navigation, and control systems for autonomous multi-rotor small unmanned …
Reinforcement learning-based fractional-order adaptive fault-tolerant formation control of networked fixed-wing UAVs with prescribed performance
This article investigates the fault-tolerant formation control (FTFC) problem for networked
fixed-wing unmanned aerial vehicles (UAVs) against faults. To constrain the distributed …
fixed-wing unmanned aerial vehicles (UAVs) against faults. To constrain the distributed …
Positioning aerial relays to maintain connectivity during drone team missions
E Yanmaz - Ad Hoc Networks, 2022 - Elsevier
Approaches that aim to maintain the connectivity of unmanned aerial vehicles (UAVs) or
drones either utilize cellular networks or propose to jointly optimize connectivity needs with …
drones either utilize cellular networks or propose to jointly optimize connectivity needs with …
Bio-inspired on-line path planner for cooperative exploration of unknown environment by a Multi-Robot System
This paper aims to present a cooperative and distributed navigation strategy, that is an on-
line path planner, for an autonomous multi-robot system. The robots are intended to …
line path planner, for an autonomous multi-robot system. The robots are intended to …
Gaussian process based channel prediction for communication-relay UAV in urban environments
This paper presents a learning approach to predict air-to-ground communication channel
strength to support the communication-relay mission using the unmanned aerial vehicle …
strength to support the communication-relay mission using the unmanned aerial vehicle …
Secure and efficient context-aware localization of drones in urban scenarios
Drone swarming involves multiple unmanned aerial vehicles (UAVs), which are able to
manoeuver autonomously, providing a vast range of surveillance applications such as traffic …
manoeuver autonomously, providing a vast range of surveillance applications such as traffic …
Trajectory optimization for the UAV assisted data collection in wireless sensor networks
Wireless sensor networks (WSNs) have been imperative means for the collection of
information in various fields. Integration of WSN with the latest technology like unmanned …
information in various fields. Integration of WSN with the latest technology like unmanned …