Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Warren A. Connors"'
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4359 (2021)
This paper describes a novel technique for estimating how many mines remain after a full or partial underwater mine hunting operation. The technique applies Bayesian fusion of all evidence from the heterogeneous sensor systems used for detection, cla
Externí odkaz:
https://doaj.org/article/a60030bfff1a48cbb7a1461bdbbdf71e
Publikováno v:
Human factors.
Objective To determine how changing and informing a user of the false alarm (FA) rate of an automated target recognition (ATR) system affects the user’s trust in and reliance on the system and their performance during an underwater mine detection t
Publikováno v:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV.
Many NATO navies are in the process of replacing their dedicated minehunting vessels with systems of heterogeneous, unmanned modules. While traditional ship-based assets prosecute sonar contacts in sequence through to neutralisation, modern systems e
Publikováno v:
Hunter, A J, Connors, W A & Dugelay, S 2018, ' An operational concept for correcting navigation drift during sonar surveys of the seafloor ', IEEE Journal of Oceanic Engineering, vol. 43, no. 4, pp. 913-926 . https://doi.org/10.1109/JOE.2017.2767798
The accumulation of navigation errors (drift) is a problem in many applications of autonomous underwater vehicles (AUVs), particularly during long-duration underwater surveys. Traditional methods for correcting drift require either surfacing of the v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4de1f83a7016497f7a7ffe3d85f1e6e8
https://purehost.bath.ac.uk/ws/files/160098345/Hunter_IEEE_J_OE_2017_Preprint.pdf
https://purehost.bath.ac.uk/ws/files/160098345/Hunter_IEEE_J_OE_2017_Preprint.pdf
Autor:
Warren A. Connors, Anna Crawford
Publikováno v:
OCEANS 2018 MTS/IEEE Charleston.
This paper describes an evaluation of a 3-D sidescan sonar system, the Ping DSP 3DSS, for mine countermeasures (MCM) applications. Testing trials were performed over seabed and moored mid-water targets, with the mid-water targets being the focus as t
Autor:
Warren A. Connors, Alan J. Hunter
Publikováno v:
Hunter, A J & Connors, W A 2017, ' Statistics of an autoregressive correlated random walk along a return path ', Electronics Letters, vol. 53, no. 23, pp. 1550-1552 . https://doi.org/10.1049/el.2017.2692
A closed-form analytical solution is derived for the statistical outcome of a random walk along a return path. The random walk is generated from the cumulative sum of correlated samples in a Gaussian-distributed autoregressive sequence. The outcome e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac05b28e64f4b918175b1853e8229c73
https://purehost.bath.ac.uk/ws/files/157852947/IET_EL_RandomWalk.pdf
https://purehost.bath.ac.uk/ws/files/157852947/IET_EL_RandomWalk.pdf
Autor:
Warren A. Connors, Thomas Trappenberg
Publikováno v:
Cognitive Computation. 5:295-306
Dynamic neural fields have been used extensively to model brain functions. These models coupled with the mechanisms of path integration have further been used to model idiothetic updates of hippocampal head and place representations, motor functions
Autor:
Oivind Midtgaard, Stig Asle Vaksvik Synnes, Warren A. Connors, Roy Edgar Hansen, Samantha Dugelay, Torstein Olsmo Saebo, Marc Geilhufe
Publikováno v:
OCEANS 2015 - MTS/IEEE Washington.
The adoption of autonomous underwater vehicles equipped with high-resolution side-looking sonars in mine countermeasures (MCM) operations has resulted in a requirement to quantify the effectiveness of these platforms; e. g., by the probability of cor
Autor:
Glen Rice, Yan Pailhas, James L. Prater, Roy Edgar Hansen, Warren A. Connors, Anthony P. Lyons
Publikováno v:
The Journal of the Acoustical Society of America. 141:4004-4004
Large linear structures (tens of meters by several meters) have been observed recently in seafloor imagery and bathymetry collected with both synthetic aperture sonar (SAS) and multibeam echosounder (MBES) systems. It has been suggested [Hansen, et a
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783642210426
Canadian Conference on AI
Canadian Conference on AI
Advances in high frequency sonar have provided increasing resolution of sea bottom objects, providing higher fidelity sonar data for automated target recognition tools. Here we investigate if advanced techniques in the field of visual object recognit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9594cb703d576d922756957e4f20948d
https://doi.org/10.1007/978-3-642-21043-3_21
https://doi.org/10.1007/978-3-642-21043-3_21