15.3.1.1 Underwater Autonomous Vehicles

Chapter Contents (Back)
Autonomous Vehicles. Autonomous Vehicle, Systems. Underwater Vehicles.

Foresti, G.L.[Gian Luca], Gentili, S.[Stefania], Zampato, M.[Massimo],
Autonomous underwater vehicle guidance by integrating neural networks and geometric reasoning,
IJIST(10), No. 5, 1999, pp. 385-396. 0001
BibRef

Kumar, R., Stover, J.A.,
A Behavior-Based Intelligent Control Architecture with Application to Coordination of Multiple Underwater Vehicles,
SMC-A(30), No. 6, December 2000, pp. 767-784.
IEEE Top Reference. 0101
BibRef

Dudek, G.[Gregory], Giguere, P.[Philippe], Prahacs, C.[Chris], Saunderson, S.[Shane], Sattar, J.[Junaed], Torres-Mendez, L.A.[Luz-Abril], Jenkin, M.R.M.[Michael R.M.], German, A.[Andrew], Hogue, A.[Andrew], Ripsman, A.[Arlene], Zacher, J.[Jim], Milios, E.E.[Evangelos E.], Liu, H.[Hui], Zhang, P.F.[Pi-Fu], Buehler, M.[Marti], Georgiades, C.[Christina],
AQUA: An Amphibious Autonomous Robot,
Computer(40), No. 1, January 2007, pp. 46-53.
IEEE DOI 0701
BibRef

Cortés-Pérez, N., Torres-Méndez, L.A.,
A Low-Cost Mirror-Based Active Perception System for Effective Collision Free Underwater Robotic Navigation,
CVVT16(61-68)
IEEE DOI 1612
BibRef

Sattar, J.[Junaed], Dudek, G.[Gregory],
A Vision-Based Control and Interaction Framework for a Legged Underwater Robot,
CRV09(329-336).
IEEE DOI 0905
BibRef

Stutters, L., Liu, H., Tiltman, C., Brown, D.J.,
Navigation Technologies for Autonomous Underwater Vehicles,
SMC-C(38), No. 4, July 2008, pp. 581-589.
IEEE DOI 0806
BibRef

West, M.E.[Michael E.], Schmidt, B.[Britney], Spears, A.[Anthony],
Autonomous underwater vehicle for advanced exploration of polar environments,
SPIE(Newsroom), June 24, 2015.
DOI Link 1507
The prototype of a small, lightweight, and modular robotic vehicle has been deployed through the McMurdo ice shelf in Antarctica. BibRef

Carrera, A.[Arnau], Palomeras, N.[Narcís], Hurtós, N.[Natàlia], Kormushev, P.[Petar], Carreras, M.[Marc],
Cognitive system for autonomous underwater intervention,
PRL(67, Part 1), No. 1, 2015, pp. 91-99.
Elsevier DOI 1511
Learning by demonstration BibRef

Gao, J., Proctor, A.A., Shi, Y., Bradley, C.,
Hierarchical Model Predictive Image-Based Visual Servoing of Underwater Vehicles With Adaptive Neural Network Dynamic Control,
Cyber(46), No. 10, October 2016, pp. 2323-2334.
IEEE DOI 1610
autonomous underwater vehicles BibRef

Cui, R., Yang, C., Li, Y., Sharma, S.,
Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning,
SMCS(47), No. 6, June 2017, pp. 1019-1029.
IEEE DOI 1706
Adaptation models, Adaptive control, Artificial neural networks, Control design, Mathematical model, Trajectory tracking, Underwater autonomous vehicles, Vehicle dynamics, Adaptive control, autonomous underwater vehicle (AUV), neural network (NN), trajectory, tracking BibRef

Rakos, K., Ruffino, A., Li, C., Mao, K., McBee, L., McBee, R., Molo, M., Shah, S., Sibley, I., Stagge, T.,
Purdue University Team Tackles Global Underwater-Vehicle Competition,
Computer(50), No. 9, 2017, pp. 106-110.
IEEE DOI 1710
educational institutions, educational robots, educational technology, marine vehicles, mobile robots, telerobotics, Marine advanced technology education center, BibRef

Peng, Z., Wang, J.,
Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks,
SMCS(48), No. 4, April 2018, pp. 535-544.
IEEE DOI 1804
Kinetic theory, Marine vehicles, Neural networks, Observers, Surges, Uncertainty, Vehicle dynamics, Autonomous underwater vehicles, projection neural networks BibRef

Zwolak, K.[Karolina], Wigley, R.[Rochelle], Bohan, A.[Aileen], Zarayskaya, Y.[Yulia], Bazhenova, E.[Evgenia], Dorshow, W.[Wetherbee], Sumiyoshi, M.[Masanao], Sattiabaruth, S.[Seeboruth], Roperez, J.[Jaya], Proctor, A.[Alison], Wallace, C.[Craig], Sade, H.[Hadar], Ketter, T.[Tomer], Simpson, B.[Benjamin], Tinmouth, N.[Neil], Falconer, R.[Robin], Ryzhov, I.[Ivan], Abou-Mahmoud, M.E.[Mohamed Elsaied],
The Autonomous Underwater Vehicle Integrated with the Unmanned Surface Vessel Mapping the Southern Ionian Sea. The Winning Technology Solution of the Shell Ocean Discovery XPRIZE,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Chu, Z.Z.[Zhen-Zhong], Sun, B.[Bo], Zhu, D.[Daqi], Zhang, M.J.[Ming-Jun], Luo, C.M.[Chao-Min],
Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm,
IET-ITS(14), No. 7, July 2020, pp. 764-774.
DOI Link 2006
BibRef

Salhaoui, M.[Marouane], Molina-Molina, J.C.[J. Carlos], Guerrero-González, A.[Antonio], Arioua, M.[Mounir], Ortiz, F.J.[Francisco J.],
Autonomous Underwater Monitoring System for Detecting Life on the Seabed by Means of Computer Vision Cloud Services,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef


Dawkins, M.[Matthew], Sherrill, L.[Linus], Fieldhouse, K.[Keith], Hoogs, A.[Anthony], Richards, B.[Benjamin], Zhang, D.[David], Prasad, L.[Lakshman], Williams, K.[Kresimir], Lauffenburger, N.[Nathan], Wang, G.A.[Gao-Ang],
An Open-Source Platform for Underwater Image and Video Analytics,
WACV17(898-906)
IEEE DOI 1609
Code, AVU. Computer vision, Detectors, MATLAB, Open source software, Pipelines, Streaming, media BibRef

Spears, A.[Anthony], Howard, A.M.[Ayanna M.], West, M.[Michael], Collins, T.[Thomas],
Determining underwater vehicle movement from sonar data in relatively featureless seafloor tracking missions,
WACV14(909-916)
IEEE DOI 1406
Adaptive optics BibRef

Girdhar, Y.[Yogesh], Dudek, G.[Gregory],
Exploring Underwater Environments with Curiosity,
CRV14(104-110)
IEEE DOI 1406
Cameras BibRef

Mazlan, A.N.A., McGookin, E.,
Modelling and control of a biomimetic autonomous underwater vehicle,
ICARCV12(88-93).
IEEE DOI 1304
BibRef

Speers, A.[Andrew], Topol, A.[Anna], Zacher, J.[James], Codd-Downey, R.[Robert], Verzijlenberg, B.[Bart], Jenkin, M.R.M.[Michael R.M.],
Monitoring Underwater Sensors with an Amphibious Robot,
CRV11(153-159).
IEEE DOI 1105
BibRef

Horgan, J., Toal, D.,
Review of Machine Vision Applications in Unmanned Underwater Vehicles,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Hallset, J.O.,
A Vision System For An Autonomous Underwater Vehicle,
ICPR92(I:320-323).
IEEE DOI BibRef 9200

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Autonomous Vehicles, Surveys, Collections, Overviews .


Last update:Oct 19, 2020 at 15:02:28