Sensor-based problems and techniques for Autonomous Underwater Vehicles

被引:0
|
作者
Maciel, Bernardo [1 ]
de Sousa, Joao Borges [1 ]
机构
[1] Univ Porto, Underwater Syst & Technol Lab, Dept Elect & Comp Engn, Fac Engn, Oporto, Portugal
关键词
NETWORKS;
D O I
暂无
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
We examine several problems and solutions that use active sensing and Autonomous Underwater Vehicles (AUVs). We are particularly interested in the multiple vehicles approaches or possibilities. We discuss and formulate different types of problems. These types are then classified in an original fashion, using activities (i.e., functionalities). Various limitations exist when using AUVs and underwater technologies to tackle the kinds of problems considered. We consider not only sampling issues and communication restrictions but also motion and sensing limitations. Techniques that have been proposed are then outlined. We analyze the approach, results, advantages and disadvantages and their multiple vehicles extension(s) and/or potential. The proposed classification scheme provides an informative way for structuring sensor-based problems for AUVs. The discussions on limitations and techniques allowed the identification of a problem and technique that can benefit from an expansion to multiple vehicles.
引用
收藏
页码:557 / 562
页数:6
相关论文
共 50 条
  • [31] Application of Artificial Intelligence Techniques for Fault Diagnostics of Autonomous Underwater Vehicles
    Inzartsev, Alexander
    Pavin, Alexander
    Kleschev, Alexander
    Gribova, Valeria
    Eliseenko, Grigory
    OCEANS 2016 MTS/IEEE MONTEREY, 2016,
  • [32] Using Autonomous Underwater Vehicles as Sensor Platforms for Ice-Monitoring
    Norgren, Petter
    Skjetne, Roger
    MODELING IDENTIFICATION AND CONTROL, 2014, 35 (04) : 263 - 277
  • [33] Sensor-based Road Model Estimation for Autonomous Driving
    Thomas, Julian
    Rojas, Raul
    2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), 2017, : 1764 - 1769
  • [34] Sensor-Driven Online Coverage Planning for Autonomous Underwater Vehicles
    Paull, Liam
    Saeedi, Sajad
    Seto, Mae
    Li, Howard
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2013, 18 (06) : 1827 - 1838
  • [35] Toward Sensor Fault Detection for Autonomous Underwater Vehicles: A Zonotopic Approach
    Li, Jitao
    Zhang, Yushi
    Wang, Zhenhua
    Qiu, Jianbin
    Zhang, Mingjun
    IEEE Transactions on Fuzzy Systems, 2024, 32 (12) : 6646 - 6657
  • [36] Navigation-piloting sensor fault diagnosis in autonomous underwater vehicles
    Pisarets, AM
    Zhirabok, AN
    PROCEEDINGS OF THE FIFTH (2002) ISOPE PACIFIC/ASIA OFFSHORE MECHANICS SYMPOPSIUM, 2002, : 70 - 74
  • [37] Magnetic sensor development for mine countermeasures using autonomous underwater vehicles
    Wiegert, R
    Price, B
    INFORMATION SYSTEMS FOR DIVERS AND AUTONOMOUS UNDERWATER VEHICLES OPERATING IN VERY SHALLOW WATER AND SURF ZONE REGIONS II, 2000, 4039 : 93 - 103
  • [38] A benchmarking study on single image dehazing techniques for underwater autonomous vehicles
    Perez, Javier
    Sanz, Pedro J.
    Bryson, Mitch
    Williams, Stefan B.
    OCEANS 2017 - ABERDEEN, 2017,
  • [39] Tombatossals: A humanoid torso for autonomous sensor-based tasks
    Felip, Javier
    Duran, Angel J.
    Antonelli, Marco
    Morales, Antonio
    del Pobil, Angel P.
    2015 IEEE-RAS 15TH INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), 2015, : 475 - 481
  • [40] Sensor-Based Motion Planning for Autonomous Vehicle Teams
    Kragelund, Sean
    Walton, Claire
    Kaminer, Isaac
    OCEANS 2016 MTS/IEEE MONTEREY, 2016,