Results 161 to 170 of about 49,392 (306)
Comparative optimization of electric robo-taxi (eRT) and electric unmanned aerial vehicle (eUAV) systems. [PDF]
Seo H, Kim S, Shin B, Lee U.
europepmc +1 more source
Velocity field path-planning for single and multiple unmanned ariel vehicles
Unmanned aerial vehicles (UAV) have seen a rapid growth in utilisation for reconnaissance, mostly using single UAVs. However, future utilisation of UAVs for applications such as bistatic synthetic aperture radar and stereoscopic imaging, will require the
McInnes, C.R.
core
ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley +1 more source
A bayesian network approach for systemic risk analysis in unmanned aerial vehicle (UAV) operations. [PDF]
Wang L, Zhu M, Li N.
europepmc +1 more source
Monitoring GPS‐collared moose by ground versus drone approaches: efficiency and disturbance effects
Efficient wildlife management requires precise monitoring methods, for example to estimate population density, reproductive success, and survival. Here, we compared the efficiency of drone (equipped with a RGB camera) and ground approaches to detect and observe GPS‐collared female moose Alces alces and their calves. We also quantified how drone (n = 42)
Martin Mayer +8 more
wiley +1 more source
Roe deer is a species that hides their neonates as an anti‐predator strategy. This may prove efficient against mammalian predators, such as the red fox; however, it might be an ecological trap as large numbers of fawns are killed by tractors with harvesters each year during grass harvest.
Thomas Vogler +2 more
wiley +1 more source
Fault-tolerant control of quadrotor unmanned aerial vehicle by using adaptive fuzzy T-S and linear matrix inversion approach. [PDF]
Taimoor M +7 more
europepmc +1 more source
Swarm-inspired solution strategy for the search problem of unmanned aerial vehicles [PDF]
Learning from the emergent behaviour of social insects, this research studies the influences of environment to collective problem-solving of insect behaviour and distributed intelligent systems.
Li, Xingbo
core
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin +4 more
wiley +1 more source

