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By performing a Floquet analysis, we find that short-wavelength secondary instabilities are damped by a moving ground but are amplified by a stationary ground.
In this paper, we present several UAV technologies we developed that enable a team of UAVs to autonomously search, detect, and locate stationary ground targets using airborne sensors.
In general, traffic monitoring is mainly based on data from conventional stationary ground measurement systems such as inductive loops, radar sensors or terrestrial cameras.
A system with parallel stationary ground radars is discussed and SIFT feature matching is suggested as a way to estimate the constant overlaps between the scans.
Conventional stationary ground measurement systems such as inductive loops, radar sensors or terrestrial cameras are able to deliver precise traffic data punctually with high temporal resolution, but their spatial distribution is still limited to selected motorways or main roads.
Both time-averaged and instantaneous near wake structures and the associated distribution of slipstream velocity are compared for two ground configurations, i.e., stationary ground (SG) and moving ground (MG) conditions.
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Differential G.P.S. uses stationary ground-based receivers to monitor the signals from the constellation of G.P.S. satellites.
Gliders are often launched using a stationary ground-based winch mounted on a heavy vehicle.
The chapter assumes the non-stationary ground motion to be expressed as the product of a deterministic envelope function and another probabilistic function representing the frequency content.
In most of the previous investigations on probabilistic critical excitation problems, the envelope functions of non-stationary ground motions were fixed and the critical frequency contents were found.
A non-stationary ground motion is assumed to be expressed as the product of an envelope function representing the temporal amplitude modulation and another function representing the frequency content of a stationary random process.
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