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
Cai, M.X.[Ming-Xue],
Wang, Y.[Yu],
Wang, S.[Shuo],
Wang, R.[Rui],
Cheng, L.[Long],
Tan, M.[Min],
Prediction-Based Seabed Terrain Following Control for an Underwater
Vehicle-Manipulator System,
SMCS(51), No. 8, August 2021, pp. 4751-4760.
IEEE DOI
2107
Trajectory, Prediction algorithms, Sensors, Real-time systems,
Attitude control, Task analysis, UVMS
BibRef
Zhang, Y.D.[Yong-Ding],
Liu, X.F.[Xiao-Feng],
Luo, M.Z.[Min-Zhou],
Yang, C.G.[Chen-Guang],
Bio-Inspired Approach for Long-Range Underwater Navigation Using
Model Predictive Control,
Cyber(51), No. 8, August 2021, pp. 4286-4297.
IEEE DOI
2108
Navigation, Earth, Magnetosphere, Animals, Sensors, Robots,
Magnetic resonance imaging, underwater navigation
BibRef
Yu, J.Z.[Jun-Zhi],
Wu, Z.X.[Zheng-Xing],
Yang, X.[Xiang],
Yang, Y.Q.[Yue-Qi],
Zhang, P.F.[Peng-Fei],
Underwater Target Tracking Control of an Untethered Robotic Fish With
a Camera Stabilizer,
SMCS(51), No. 10, October 2021, pp. 6523-6534.
IEEE DOI
2109
Cameras, Robot vision systems, Target tracking, Oscillators, Sports,
Active visual tracking, camera stabilizer,
underwater target tracking
BibRef
Wang, S.Q.[Shuo-Qi],
Zheng, W.[Wei],
Li, Z.W.[Zhao-Wei],
Optimizing Matching Area for Underwater Gravity-Aided Inertial
Navigation Based on the Convolution Slop Parameter-Support Vector
Machine Combined Method,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Wang, R.[Rui],
Wang, S.[Shuo],
Wang, Y.[Yu],
Cheng, L.[Long],
Tan, M.[Min],
Development and Motion Control of Biomimetic Underwater Robots:
A Survey,
SMCS(52), No. 2, February 2022, pp. 833-844.
IEEE DOI
2201
Unmanned underwater vehicles, Robots, Propulsion, Motion control,
Prototypes, Turning, Biomimetic underwater robots, motion control,
undulatory propulsion
BibRef
Li, M.[Menghao],
Liu, Y.[Yang],
Liu, Y.X.[Yan-Xiong],
Chen, G.[Guanxu],
Tang, Q.[Qiuhua],
Han, Y.F.[Yun-Feng],
Wen, Y.[Yuanlan],
Simulative Evaluation of the Underwater Geodetic Network
Configuration on Kinematic Positioning Performance,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
He, Z.C.[Zi-Chen],
Dong, L.[Lu],
Sun, C.Y.[Chang-Yin],
Wang, J.W.[Jia-Wei],
Asynchronous Multithreading Reinforcement-Learning-Based Path
Planning and Tracking for Unmanned Underwater Vehicle,
SMCS(52), No. 5, May 2022, pp. 2757-2769.
IEEE DOI
2205
Planning, Trajectory tracking, Robots, Trajectory, Multithreading,
Heuristic algorithms, Task analysis, Path planning,
underwater unmanned vehicle (UUV)
BibRef
Wang, H.[Hao],
Tian, Y.[Yu],
Xu, H.L.[Hong-Li],
Neural Adaptive Command Filtered Control for Cooperative Path
Following of Multiple Underactuated Autonomous Underwater Vehicles
Along One Path,
SMCS(52), No. 5, May 2022, pp. 2966-2978.
IEEE DOI
2205
Control systems, Artificial neural networks, Uncertainty, Switches,
Robot kinematics, Stability analysis, Vehicle dynamics, uncertainties
BibRef
Liu, C.W.[Chong-Wei],
Wang, Z.H.[Zhi-Hui],
Wang, S.J.[Shi-Jie],
Tang, T.[Tao],
Tao, Y.L.[Yu-Long],
Yang, C.[Caifei],
Li, H.J.[Hao-Jie],
Liu, X.[Xing],
Fan, X.[Xin],
A New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing,
CirSysVideo(32), No. 5, May 2022, pp. 2831-2844.
IEEE DOI
2205
Object detection, Generative adversarial networks, Detectors,
Robots, Unmanned underwater vehicles, Training, Target tracking,
underwater object detection
BibRef
Verdun, J.[Jérôme],
Roussel, C.[Clément],
Cali, J.[José],
Maia, M.[Marcia],
d'Eu, J.F.[Jean-François],
Kharbou, O.[Ossama],
Poitou, C.[Charles],
Ammann, J.[Jérôme],
Durand, F.[Frédéric],
Bouhier, M.É.[Marie-Édith],
Development of a Lightweight Inertial Gravimeter for Use on Board an
Autonomous Underwater Vehicle: Measurement Principle, System Design
and Sea Trial Mission,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Dinakaran, R.[Ranjith],
Zhang, L.[Li],
Li, C.T.[Chang-Tsun],
Bouridane, A.[Ahmed],
Jiang, R.[Richard],
Robust and Fair Undersea Target Detection with Automated Underwater
Vehicles for Biodiversity Data Collection,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Liu, Y.X.[Yi-Xu],
Wang, L.[Lei],
Hu, L.L.[Liang-Liang],
Cui, H.[Haonan],
Wang, S.L.[Sheng-Li],
Analysis of the Influence of Attitude Error on Underwater Positioning
and Its High-Precision Realization Algorithm,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Yan, J.[Jing],
Guo, Z.W.[Zhi-Wen],
Yang, X.[Xian],
Luo, X.Y.[Xiao-Yuan],
Guan, X.P.[Xin-Ping],
Finite-Time Tracking Control of Autonomous Underwater Vehicle Without
Velocity Measurements,
SMCS(52), No. 11, November 2022, pp. 6759-6773.
IEEE DOI
2210
Observers, Target tracking, Velocity measurement, Uncertainty,
Convergence, Sonar, Angular velocity,
unknown velocity measurements
BibRef
Hammedi, W.[Wided],
Senouci, S.M.[Sidi-Mohammed],
Ramirez-Martinez, M.[Metzli],
Brunet, P.[Philippe],
On Reliable Awareness System for Autonomous River Vessels,
ITS(23), No. 10, October 2022, pp. 17097-17106.
IEEE DOI
2210
Object detection, Rivers, Navigation, Roads, Real-time systems,
Deep learning, Task analysis, Real-time, object detection,
lane detection
BibRef
Bobkov, V.[Valery],
Kudryashov, A.[Alexey],
Inzartsev, A.[Alexander],
A Technique to Navigate Autonomous Underwater Vehicles Using a
Virtual Coordinate Reference Network during Inspection of Industrial
Subsea Structures,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Zhao, W.L.[Wan-Long],
Zhao, H.F.[Hui-Feng],
Liu, G.L.[Gong-Liang],
Zhang, G.Y.[Guo-Yao],
ANFIS-EKF-Based Single-Beacon Localization Algorithm for AUV,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
Underwater vehicle localization
BibRef
Li, H.F.[Hong-Fei],
Xu, J.[Jing],
Yu, J.Z.[Jun-Zhi],
Discrete Event-Triggered Fault-Tolerant Control of Underwater
Vehicles Based on Takagi-Sugeno Fuzzy Model,
SMCS(53), No. 3, March 2023, pp. 1841-1851.
IEEE DOI
2302
Fault tolerant systems, Fault tolerance,
Autonomous underwater vehicles, Robots, Hydrodynamics, underwater vehicles
BibRef
Cao, X.[Xiang],
Ren, L.[Lu],
Sun, C.Y.[Chang-Yin],
Dynamic Target Tracking Control of Autonomous Underwater Vehicle
Based on Trajectory Prediction,
Cyber(53), No. 3, March 2023, pp. 1968-1981.
IEEE DOI
2302
Target tracking, Heuristic algorithms, Vehicle dynamics, Sonar,
Object detection, Feature extraction, Robots,
trajectory prediction
BibRef
Moghimi, M.K.[Mohammad Kazem],
Mohanna, F.[Farahnaz],
Reliable Object Recognition Using Deep Transfer Learning for Marine
Transportation Systems With Underwater Surveillance,
ITS(24), No. 2, February 2023, pp. 2515-2524.
IEEE DOI
2302
Feature extraction, Videos, Transfer learning, Training,
Surveillance, Support vector machines, Object recognition,
object recognition
BibRef
Gong, Y.J.[Yue-Jiao],
Huang, T.[Ting],
Ma, Y.N.[Yi-Ning],
Jeon, S.W.[Sang-Woon],
Zhang, J.[Jun],
MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous
Underwater Vehicles,
ITS(24), No. 4, April 2023, pp. 3714-3727.
IEEE DOI
2304
Trajectory, Planning, Optimization, Trajectory planning, Indexes,
Task analysis, Genetic algorithms, Ant colony system,
niching
BibRef
Zou, Z.Y.[Zhuo-Yang],
Wang, W.R.[Wen-Rui],
Wu, B.[Bin],
Ye, L.Y.[Ling-Yun],
Ochieng, W.Y.[Washington Yotto],
Tightly Coupled INS/APS Passive Single Beacon Navigation,
RS(15), No. 7, 2023, pp. 1854.
DOI Link
2304
BibRef
Wang, H.[Hao],
Wang, Z.[Zizheng],
Fu, J.[Jun],
Command Filter-Based Adaptive Practical Prescribed-Time Asymptotic
Tracking Control of Autonomous Underwater Vehicles With Limited
Communication Angles,
SMCS(53), No. 5, May 2023, pp. 2726-2736.
IEEE DOI
2305
Uncertainty, Control systems, Vehicle dynamics, Trajectory, Modems,
Formation control, Artificial neural networks,
uncertainties
BibRef
Wang, X.T.[Xiao-Tian],
Fan, X.[Xinnan],
Shi, P.F.[Peng-Fei],
Ni, J.J.[Jian-Jun],
Zhou, Z.K.[Zhong-Kai],
An Overview of Key SLAM Technologies for Underwater Scenes,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link
2306
BibRef
Herrmann, P.[Philip],
Reissmann, S.[Sylvia],
Rothenbeck, M.[Marcel],
Woelk, F.[Felix],
Köser, K.[Kevin],
Robust Human-Identifiable Markers for Absolute Relocalization of
Underwater Robots in Marine Data Science Applications,
CIAP22(III:449-460).
Springer DOI
2205
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. 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
Wheelchairs, Control, Design, Ssystem .