Results 11 to 20 of about 17,694,616 (233)

Autonomous Collision avoidance for Unmanned aerial systems [PDF]

open access: yes, 2014
Unmanned Aerial System (UAS) applications are growing day by day and this will lead Unmanned Aerial Vehicle (UAV) in the close future to share the same airspace of manned aircraft.This implies the need for UAS to define precise safety standards ...
Melega, Marco
core   +7 more sources

A Method to Support the Requirements Trade-Off of Integrated Vehicle Health Management for Unmanned Aerial Systems [PDF]

open access: yes, 2014
he digital revolution in the latter part of the twentieth century has resulted in the increased use and development of Cyber-Physical Systems. Two of which are Unmanned Aerial Systems (UAS) and Integrated Vehicle Health Management (IVHM).
Heaton, Andrew Edward
core   +7 more sources

Verifiable control of a swarm of unmanned aerial vehicles [PDF]

open access: yes, 2009
This article considers the distributed control of a swarm of unmanned aerial vehicles (UAVs) investigating autonomous pattern formation and reconfigurability.
Bennet, D. J., McInnes, C.R.
core   +4 more sources

Autonomous three-dimensional formation flight for a swarm of unmanned aerial vehicles [PDF]

open access: yes, 2011
This paper investigates the development of a new guidance algorithm for a formation of unmanned aerial vehicles. Using the new approach of bifurcating potential fields, it is shown that a formation of unmanned aerial vehicles can be successfully ...
Uchiyama, Kenji   +3 more
core   +4 more sources

Assessing use of and reaction to unmanned aerial systems in gray and harbor seals during breeding and molt in the UK [PDF]

open access: yes, 2015
This work was supported by UK NERC National Environmental Research Council National Capability funding to SMRU, NERC grant No. GE08-001358 to PP, through UK DEFRA support to SMRU, and by development grants from MASTS and Chester Zoo.Wildlife biology ...
Pomeroy, Patrick   +2 more
core   +1 more source

Fast Hyperspectral Image Classification with Strong Noise Robustness Based on Minimum Noise Fraction

open access: yesRemote Sensing
A fast hyperspectral image classification algorithm with strong noise robustness is proposed in this paper, aiming at the hyperspectral image classification problems under noise interference. Based on the Fast 3D Convolutional Neural Network (Fast-3DCNN),
Hongqiao Wang   +5 more
doaj   +1 more source

Industry (UAPASTF) Response to Pesticide Regulators’ “State of the Knowledge” Review of Drone Use for Pesticide Application: Best Practices for Safe and Effective Application of Pesticides

open access: yesDrones
The Organization of Economic Cooperation and Development Working Party on Pesticides (OECD WPP) Drone/UAV Subgroup published a “state of the knowledge” report on pesticide application using unmanned aerial vehicles (UAV) in 2021.
Hector Portillo   +12 more
doaj   +1 more source

Cascaded fast terminal sliding mode control for UAV electric braking system

open access: yesXibei Gongye Daxue Xuebao, 2023
The anti-skid braking system of unmanned aerial vehicle has the characteristics of high-order nonlinearity, strong coupling, and time-varying parameters, which will seriously affect the taxiing performance of the unmanned aerial vehicle.
LI Yuren   +6 more
doaj   +1 more source

Dynamic Task Allocation for Heterogeneous Multi-UAVs in Uncertain Environments Based on 4DI-GWO Algorithm

open access: yesDrones
As the missions and environments of unmanned aerial vehicles (UAVs) become increasingly complex in both space and time, it is essential to investigate the dynamic task assignment problem of heterogeneous multi-UAVs aiming at ground targets in an ...
Hanqiao Huang   +3 more
doaj   +1 more source

Underground unmanned aerial vehicles cluster system for monitoring and its key technologies

open access: yesGong-kuang zidonghua, 2019
Underground monitoring and control system is usually fixed and has limited range, so it is difficult to fully meet dynamic monitoring requirements of underground safety production.
YANG Wei, SHAN Chunyan, LIU Junbo
doaj   +1 more source

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