15.3.1.4 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

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.Z.[Zi-Zheng], 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

Wang, W.J.[Wen-Jin], Wen, T.[Tao], He, X.[Xiao], Xu, G.H.[Guo-Hua],
Path Following With Prescribed Performance for Under-Actuated Autonomous Underwater Vehicles Subjects to Unknown Actuator Dead-Zone,
ITS(24), No. 6, June 2023, pp. 6257-6267.
IEEE DOI 2306
Actuators, Noise measurement, Backstepping, Sonar equipment, Fuzzy logic, Propellers, Explosions, AUV, path following, dead-zone BibRef

Li, Y.[Yun], He, X.[Xinqi], Lu, Z.K.[Zhen-Kun], Jing, P.G.[Pei-Guang], Su, Y.S.[Yi-Shan],
Comprehensive Ocean Information-Enabled AUV Motion Planning Based on Reinforcement Learning,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Dai, S.J.[Shi-Jie], Wu, Z.X.[Zheng-Xing], Wang, J.[Jian], Tan, M.[Min], Yu, J.Z.[Jun-Zhi],
Barrier-Based Adaptive Line-of-Sight 3-D Path-Following System for a Multijoint Robotic Fish With Sideslip Compensation,
Cyber(53), No. 7, July 2023, pp. 4204-4217.
IEEE DOI 2307
Robots, Robot kinematics, Adaptive systems, Navigation, Solid modeling, Force, Complex systems, 3-D path-following, time-varying sideslip angle BibRef

Alawode, B.[Basit], Guo, Y.H.[Yu-Hang], Ummar, M.[Mehnaz], Werghi, N.[Naoufel], Dias, J.[Jorge], Mian, A.[Ajmal], Javed, S.[Sajid],
Utb180: A High-quality Benchmark for Underwater Tracking,
ACCV22(V:442-458).
Springer DOI 2307
BibRef

Lin, C.[Chuan], Han, G.J.[Guang-Jie], Tao, Q.[Qiuzi], Liu, L.[Li], Shah, S.B.H.[Syed Bilal Hussain], Zhang, T.W.[Tong-Wei], Li, Z.L.[Zheng-Lin],
Underwater Equipotential Line Tracking Based on Self-Attention Embedded Multiagent Reinforcement Learning Toward AUV-Based ITS,
ITS(24), No. 8, August 2023, pp. 8580-8591.
IEEE DOI 2308
Target tracking, Sensors, Pollution, Oceans, Control systems, Collaboration, Training, Autonomous underwater vehicle, intelligent transportation systems BibRef

Yan, J.[Jing], Peng, S.[Silian], Yang, X.[Xian], Luo, X.Y.[Xiao-Yuan], Guan, X.P.[Xin-Ping],
Containment Control of Autonomous Underwater Vehicles With Stochastic Environment Disturbances,
SMCS(53), No. 9, September 2023, pp. 5809-5820.
IEEE DOI 2309
BibRef

Xu, S.[Sheng], Xu, T.T.[Tian-Tian], Li, D.[Dong], Yang, C.G.[Chen-Guang], Huang, C.Y.[Chen-Yang], Wu, X.Y.[Xin-Yu],
A Robot Motion Learning Method Using Broad Learning System Verified by Small-Scale Fish-Like Robot,
Cyber(53), No. 9, September 2023, pp. 6053-6065.
IEEE DOI 2309
BibRef

Shi, Y.[Yi], Xie, W.[Wei], Xiong, M.[Minglei], Zhang, W.D.[Wei-Dong],
Neural Adaptive Quantitative Prescribed Performance Sectionalized Event-Triggered Control for Autonomous Underwater Vehicles,
ITS(24), No. 10, October 2023, pp. 10857-10868.
IEEE DOI 2310
BibRef

Nguyen, X.P.[Xuan-Phuong], Dang, X.K.[Xuan-Kien], Do, V.D.[Viet-Dung], Corchado, J.M.[Juan Manuel], Truong, H.N.[Huynh-Nhu],
Robust Adaptive Fuzzy-Free Fault-Tolerant Path Planning Control for a Semi-Submersible Platform Dynamic Positioning System With Actuator Constraints,
ITS(24), No. 11, November 2023, pp. 12701-12715.
IEEE DOI 2311
BibRef

Tao, Q.[Qiuzi], Han, G.J.[Guang-Jie], Lin, C.[Chuan], Wang, L.[Lei], Huang, S.Q.[Shu-Qiang], Lu, C.[Chang],
A Scheme for Cooperative-Escort Multi-Submersible Intelligent Transportation System Based on SDN-Enabled Underwater IoV,
ITS(24), No. 11, November 2023, pp. 13472-13485.
IEEE DOI 2311
BibRef

Zhou, X.[Xiaocong], Zheng, W.[Wei], Li, Z.W.[Zhao-Wei], Wu, P.[Panlong], Sun, Y.J.[Yong-Jin],
Enhancing Path Planning Efficiency for Underwater Gravity Matching Navigation with a Novel Three-Dimensional Along-Path Obstacle Profiling Algorithm,
RS(15), No. 23, 2023, pp. 5579.
DOI Link 2312
BibRef

Xing, T.Y.[Tian-Yu], Wang, X.[Xiaohao], Ding, K.Y.[Kai-Yang], Ni, K.[Kai], Zhou, Q.[Qian],
A Multi-Source-Data-Assisted AUV for Path Cruising: An Energy-Efficient DDPG Approach,
RS(15), No. 23, 2023, pp. 5607.
DOI Link 2312
BibRef

Er, M.J.[Meng Joo], Gong, H.[Huibin], Liu, Y.[Yi], Liu, T.[Tianhe],
Intelligent Trajectory Tracking and Formation Control of Underactuated Autonomous Underwater Vehicles: A Critical Review,
SMCS(54), No. 1, January 2024, pp. 543-555.
IEEE DOI 2312
BibRef

Cao, X.[Xiang], Sun, C.Y.[Chang-Yin], Wang, X.[Xuerao],
Threat Assessment Strategy of Human-in-the-Loop Unmanned Underwater Vehicle Under Uncertain Events,
SMCS(54), No. 1, January 2024, pp. 520-532.
IEEE DOI 2312
BibRef

Liu, Y.X.[Yi-Xu], Sun, Y.F.[Yong-Fu], Li, B.G.[Bao-Gang], Wang, X.X.[Xiang-Xin], Yang, L.[Lei],
Experimental Analysis of Deep-Sea AUV Based on Multi-Sensor Integrated Navigation and Positioning,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Yue, W.R.[Wen-Rong], Xu, F.[Feng], Yang, J.[Juan],
Tracking-by-Detection Algorithm for Underwater Target Based on Improved Multi-Kernel Correlation Filter,
RS(16), No. 2, 2024, pp. 323.
DOI Link 2402
BibRef

Wang, Z.H.[Zhi-Hao], Zhang, W.D.[Wen-Dong], Wang, R.[Renxin], He, C.[Changde], Liu, S.[Shurui], Wang, J.W.[Jing-Wen], Li, Z.[Zhaodong], Lu, X.X.[Xiao-Xing], Qin, Y.[Yun], Zhang, G.J.[Guo-Jun], Cui, J.[Jiangong], Yang, Y.H.[Yu-Hua], Jia, L.C.[Li-Cheng],
Investigation of Submerged MEMS Ultrasonic Sensors for Underwater Obstacle Avoidance Application,
RS(16), No. 3, 2024, pp. 497.
DOI Link 2402
BibRef

Wang, J.[Jian], Wu, Z.X.[Zheng-Xing], Zhang, Y.[Yang], Kong, S.[Shihan], Tan, M.[Min], Yu, J.Z.[Jun-Zhi],
Integrated Tracking Control of an Underwater Bionic Robot Based on Multimodal Motions,
SMCS(54), No. 3, March 2024, pp. 1599-1610.
IEEE DOI 2402
Robots, Tracking, Dolphins, Collision avoidance, Target tracking, Planning, Oceans, Disturbance observer (DOB), fuzzy system, underwater bionic robot BibRef

Li, J.Y.[Ji-Yong], Bian, X.Y.[Xin-Yu], Huang, H.[Hai], Jiang, T.[Tao], Liu, Y.H.[Yi-Hui], Wan, L.[Lei],
Hybrid Visual Servoing Control for Underwater Vehicle Manipulator Systems With Multiple Cameras,
SMCS(54), No. 3, March 2024, pp. 1742-1754.
IEEE DOI 2402
Cameras, Jacobian matrices, Visual servoing, Underwater vehicles, Kinematics, Manipulators, Calibration, Broyden's class method, underwater vehicle manipulator system (UVMSs) BibRef

Zalewski, J.[Jacek], Hozyn, S.[Stanislaw],
Computer Vision-Based Position Estimation for an Autonomous Underwater Vehicle,
RS(16), No. 5, 2024, pp. 741.
DOI Link 2403
BibRef

Yan, T.[Tao], Xu, Z.[Zhe], Yang, S.X.[Simon X.],
Distributed Robust Learning-Based Backstepping Control Aided With Neurodynamics for Consensus Formation Tracking of Underwater Vessels,
Cyber(54), No. 4, April 2024, pp. 2434-2445.
IEEE DOI 2403
Uncertainty, Adaptation models, Protocols, Formation control, Vehicle dynamics, Trajectory, Solid modeling, Backstepping control, underwater vessel (AUV) fleet BibRef

Chu, Z.Z.[Zhen-Zhong], Wang, Y.[Yu], Zhu, D.[Daqi],
Local 2-D Path Planning of Unmanned Underwater Vehicles in Continuous Action Space Based on the Twin-Delayed Deep Deterministic Policy Gradient,
SMCS(54), No. 5, May 2024, pp. 2775-2785.
IEEE DOI 2405
Path planning, Real-time systems, Heuristic algorithms, Planning, Sonar navigation, Market research, Training, unmanned underwater vehicles (UUVs). BibRef


Kapoor, M.[Meghna], Patra, S.[Suvam], Subudhi, B.N.[Badri Narayan], Jakhetiya, V.[Vinit], Bansal, A.[Ankur],
Underwater Moving Object Detection using an End-to-End Encoder-Decoder Architecture and GraphSage with Aggregator and Refactoring,
WiCV23(5636-5645)
IEEE DOI 2309
BibRef

Lin, X.M.[Xiao-Min], Liu, C.[Cheng], Pattillo, A.[Allen], Yu, M.[Miao], Aloimonous, Y.F.[Yi-Fannis],
SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water,
Maritime23(216-223)
IEEE DOI 2302
Training, Heuristic algorithms, Computational modeling, Vehicle dynamics, Underwater vehicles, Synthetic aperture radar, detection 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 .


Last update:May 6, 2024 at 15:50:14