2013
DOI: 10.1109/joe.2012.2227585
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Real-Time Adaptive Control of Multiple Colocated Acoustic Sensors for an Unmanned Underwater Vehicle

Abstract: In this paper, a novel approach to provide full autonomy in the control and synchronization of multiple payload sonar systems is described, facilitating the close-proximity integration and concurrent operation of multiple high-frequency acoustic sensors on an unmanned underwater vehicle. Recent advances in computational technology and real-time programming techniques afford the ability to process bathymetric data in situ to react to real-time environment data. The novel approach presented interrogates real-tim… Show more

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Cited by 4 publications
(4 citation statements)
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“…Assuming that the absolute positions of two of the sensors are known, the effectiveness of the method is verified by comparing the estimated absolute positions of other sensors with their nominal values. In [26], a novel approach to provide full autonomy in the control and synchronization of multiple payload sonar systems is described, facilitating the close-proximity integration and concurrent operation of multiple high-frequency acoustic sensors on an unmanned UW vehicle. Recent advances in computational technology and real-time programming techniques afford the ability to process bathymetric data in situ to react to real-time environment data.…”
Section: Related Workmentioning
confidence: 99%
“…Assuming that the absolute positions of two of the sensors are known, the effectiveness of the method is verified by comparing the estimated absolute positions of other sensors with their nominal values. In [26], a novel approach to provide full autonomy in the control and synchronization of multiple payload sonar systems is described, facilitating the close-proximity integration and concurrent operation of multiple high-frequency acoustic sensors on an unmanned UW vehicle. Recent advances in computational technology and real-time programming techniques afford the ability to process bathymetric data in situ to react to real-time environment data.…”
Section: Related Workmentioning
confidence: 99%
“…de Filippi et al [7] proposed single-sensor control strategies for semiactive steering damper control in two-wheeled vehicles. Thurman et al [9] explored acoustic sensors in an unmanned underwater vehicle to provide full autonomy control. Au et al [13] proposed energy-efficient classification algorithms for wearable sensor systems.…”
Section: Related Workmentioning
confidence: 99%
“…Concretely, security in wireless control networks starts to attract more and more attention [5][6][7][8][9]. Those work majorally address different contexts from WSCNs, so the solutions may not be able to tackle the aforementioned security requirements.…”
Section: Introductionmentioning
confidence: 99%
“…Navigation and environment sensing and mapping concepts are not exclusive for unmmaned ground vehicles but also for UUV (Unmanned Underwater Vehicles) [3,4] and UAV (Unmanned Aerial Vehicles) [5,6]. A basic component of any unmanned robotic vehicle is the acquisition of exteroceptive models of the environment.…”
Section: Introductionmentioning
confidence: 99%