Results 111 to 120 of about 1,232 (173)

Leveraging learned monocular depth prediction for pose estimation and mapping on unmanned underwater vehicles. [PDF]

open access: yesFront Robot AI
Job M   +6 more
europepmc   +1 more source

Underwater Robots and Key Technologies for Operation Control. [PDF]

open access: yesCyborg Bionic Syst
Sun L   +5 more
europepmc   +1 more source
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Are universal beamformers passive cognitive sonar systems?

The Journal of the Acoustical Society of America, 2022
Cognitive sonars dynamically tune system parameters to improve performance in pursuit of specific goals. Most research on cognitive sonar focuses on active sonar, varying the transmitted waveform and ping rate. Although passive sonar also faces the challenges of pursuing goals in varying and unknown environments, little research has been done exploring
John R. Buck   +2 more
openaire   +1 more source

Sonar Operator Performance Considerations in Passive Sonar Systems

Proceedings of the Human Factors Society Annual Meeting, 1975
Because of rapid developments in passive sonar technology, man-machine interface problems continue to demand human factors studies. This paper discusses display problems, operator variables, and research considerations. Data are presented from a recent study conducted by the authors comparing performance with photographic and static stimulus materials
R. J. Hornick   +3 more
openaire   +1 more source

Receiver depth selection for passive sonar systems

IEEE Journal of Oceanic Engineering, 1991
Since tactical acoustic systems such as towed arrays can be deployed at various depths, the authors address the question of what depth is optimal. This question is considered principally from the point of view of optimum propagation conditions, employing two deep-water scenarios representing summer and winter conditions in the western Mediterranean ...
C. Ferla, M.B. Porter
openaire   +1 more source

Underwater acoustic sensor fault detection for passive sonar systems

2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 2016
In this paper, an underwater acoustic sensor fault detection method is proposed that determines whether or not each sensor of multi-channel line array hydrophones malfunctions for passive sonar systems. To this end, the proposed method first measures a short-time root mean square (RMS) value of input signal for each channel.
Yong Guk Kim   +5 more
openaire   +1 more source

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