Results 41 to 50 of about 1,085 (178)

Performance Comparison of Control Design for Unmanned Underwater Vehicle

한국해양공학회지, 2018
In this paper, we propose an adaptive backstepping controller to control the exact position and orientation of a remotely operated underwater vehicle with parametric model uncertainty.
Sung-Hyeon Joo, Seon-Je Yang, Tae-Yong Kuc, Jong-Koo Park, Yong-Serk Kim, Nak-Yong Ko, Yong-Seon Moon   +6 more
doaj   +1 more source

Implementing an Adaptive Thrust Distribution Algorithm on the Robust Control System for Serial Split-Hull Underwater Vehicles

IEEE Access, 2022
This paper discusses designing and implementing an adaptive thrust distribution algorithm on the already robust control system for serial split-hull underwater vehicles to maximise operational efficiency.
Vishakh S. Kumar, Prabhu Rajagopal
doaj   +1 more source

FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets

Journal of Field Robotics, EarlyView.
ABSTRACT Visibility underwater is challenging and degrades as the distance between the subject and the camera increases. That is why forward‐looking underwater computer vision tasks are difficult. We have collected underwater forward‐looking stereovision and visual–inertial image sets using two underwater imaging platforms, a stereo camera rig, and an ...
Yelena Randall, Ori Lifschitz, Tali Treibitz   +2 more
wiley   +1 more source

Performance Analysis of a Micro Underwater Remotely Operated Vehicle (ROV)

Jurnal Ilmiah SINERGI
Underwater Remote Operated Vehicle (ROV) is a tethered marine robot that are widely employed for scientific and commercial applications. Several industries are working on underwater robots to increase the productivity, monitoring and surveillance ...
Fauzal Naim Zohedi, Chan Yeow Chuan, Mohd Shahrieel Mohd Aras, Alias Khamis, Zairi Ismael Rizman   +4 more
doaj   +1 more source

Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers

Remote Sensing in Ecology and Conservation, EarlyView.
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni, Giovanna Jona Lasinio, Daniele Poggio, Gianluca Mastrantonio, Alessio Pollice, Arnold Rakaj, Midhun Mohan, Stefano Moro, Edoardo Casoli, Daniele Ventura   +9 more
wiley   +1 more source

Adaptive recurrent neural network motion control for observation class remotely operated vehicle manipulator system with modeling uncertainty

Advances in Mechanical Engineering, 2018
Precise motion control of remotely operated vehicles plays an important role in a great number of submarine missions. However, the high-performance operations are difficult to realize due to the uncertainty in system modeling with self-disturbance.
Hai Huang, Jiyong Li, Guocheng Zhang, Qirong Tang, Lei Wan   +4 more
doaj   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Design and Control of Unmanned Underwater Vehicle

Sukkur IBA Journal of Emerging Technologies, 2019
Unmanned Underwater Vehicles (UUV) are the robots that are used to monitor underwater environment at remote distance, either for inspection of underwater wreckage or for surveillance of underwater environment.
Kamran Ahmed Shahani, Rehan Akbar Arain, Nooruddin Khaskheli, Faizan ur Rehman   +3 more
doaj   +1 more source

Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas

Remote Sensing in Ecology and Conservation, EarlyView.
Seabed landers, when equipped with a range of biotic and abiotic sensors, offer a non‐invasive and cost‐effective solution for ecosystem‐scale monitoring of Essential Biodiversity Variables (EBVs) and Essential Ocean Variables (EOVs) in dynamic shallow seas.
Arienne Calonge, Roeland Develter, Carlota Muñiz, Clea Parcerisas, Jan Reubens, Wieter Boone, Klaas Deneudt, Elisabeth Debusschere   +7 more
wiley   +1 more source

Deep blueprint: A literature review and guide to automated image classification for ecologists

Journal of Animal Ecology, EarlyView.
A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game, Nils Piechaud, Kerry L. Howell   +2 more
wiley   +1 more source