Results 31 to 40 of about 1,481 (177)

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

Deep-Sea Fish Fauna on the Seamounts of Southern Japan with Taxonomic Notes on the Observed Species

Journal of Marine Science and Engineering, 2021
Several volcanic islands and submarine volcanoes exist in the sea connecting the Izu-Bonin Islands with the Mariana Islands, with trenches and islands formed by the submergence of the Pacific Plate under the Philippine Sea Plate. Although designated as a
Keita Koeda, Soutarou Takashima, Takehisa Yamakita, Shinji Tsuchida, Yoshihiro Fujiwara   +4 more
doaj   +1 more source

Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti, Saverio Iacoponi, Saif Alameri, Mohamed El Hanbaly, Mohammed Tarnini, Cesare Stefanini, Giulia De Masi, Federico Renda   +7 more
wiley   +1 more source

Development of shroud remotely operated vehicle for ultrasonic testing (Formulation of design requirements and development of a vehicle for internal surface operations of shrouds)

Nihon Kikai Gakkai ronbunshu
This paper presents the development and application of phased array ultrasonic testing (PAUT) and a remotely operated vehicle (ROV) for the in-vessel inspection of boiling water reactor (BWR) internals.
Yasuhiro YUGUCHI, Tetsuro NAKAGAWA, Takeshi MAEHARA, Ikuko KAMEYAMA, Tomomi KUBO   +4 more
doaj   +1 more source

Dumpsite Seabed Characterization of the San Pedro Basin, CA, From Autonomous Vehicle Observations

Journal of Field Robotics, EarlyView.
ABSTRACT A wide‐area seabed survey was conducted using autonomous underwater vehicles (AUVs) in a known dumpsite off the coast of Southern California that has been found to have widespread sediment contamination from the chemical dichlorodiphenyltrichloroethane (DDT).
Ryan A. McCarthy, Dylan Kriegman, Sophia T. Merrifield, Heidi Batchelor, Eric J. Terrill   +4 more
wiley   +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

Design and Modeling of an Experimental ROV with Six Degrees of Freedom

Drones, 2021
With the development of underwater technology, it is important to develop a wide range of autonomous and remotely operated underwater vehicles for various tasks.
Aleksey Kabanov, Vadim Kramar, Igor Ermakov   +2 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

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

Operational failure assessment of Remotely Operated Vehicle (ROV) in harsh offshore environments

Pomorstvo, 2021
For an effective integrity assessment of marine robotic in offshore environments, the elements’ failure characteristics need to be understood. A structured probabilistic methodology is proposed for the operational failure assessment (OFA) characteristics of ROV.
Nitonye, Samson, Adumene, Sidum, Orji, Charles Ugochukwu, Effiong Udo, Anietie   +3 more
openaire   +2 more sources