Results 61 to 70 of about 5,062 (222)

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

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

Virtual platform of a remotely operated vehicle [PDF]

, 2015
A remotely operated vehicle (ROV) carrying an underwater manipulator plays an important role in underwater operations. In this paper, we develop a virtual platform of a ROV to animate operation tasks under the sea.
Li S(李硕), Li Y(李岩), Zhang J(张进), Li W(李伟), Yu JC(俞建成), Chen, Genshe   +5 more
core  

Attention points from ROV survey ARTofMELT2023/1_22-6 on 2023-06-02, survey 3 [PDF]

, 2023
Attention points as logged by the operators in the recording software Spot.On for remotely operated vehicle (ROV) surveys during the ARTofMELT2023 expedition in May and June ...
Nicolaus, Marcel, Schiller, Martin, Anhaus, Philipp, Planat, Noémie, Katlein, Christian   +4 more
core   +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

Attention points from ROV survey ARTofMELT2023/1_20-2 on 2023-05-19, survey 2 [PDF]

, 2023
Attention points as logged by the operators in the recording software Spot.On for remotely operated vehicle (ROV) surveys during the ARTofMELT2023 expedition in May and June ...
Nicolaus, Marcel, Schiller, Martin, Anhaus, Philipp, Planat, Noémie, Katlein, Christian   +4 more
core   +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

Attention points from ROV survey ARTofMELT2023/1_20-1 on 2023-05-18, survey 1 [PDF]

, 2023
Attention points as logged by the operators in the recording software Spot.On for remotely operated vehicle (ROV) surveys during the ARTofMELT2023 expedition in May and June ...
Nicolaus, Marcel, Schiller, Martin, Anhaus, Philipp, Planat, Noémie, Katlein, Christian   +4 more
core   +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