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51 results for “ROV”
FIGURE 4 in New carnivorous sponges from the Great Barrier Reef, Queensland, Australia collected by ROV from the RV FALKOR
FIGURE 4. Abyssocladia falkor sp. nov. A. The holotype and paratype underwater in vivo. B. Paratype QM G339307 fixed. C. Holotype QM G339306 on deck. D. Filaments emerging from the edge of the sponge body. E. Surface of the sponge body. F. Stem. G. Root like appendages.
FIGURE 12 in New carnivorous sponges from the Great Barrier Reef, Queensland, Australia collected by ROV from the RV FALKOR
FIGURE 12. Axoniderma wanda sp. nov. Holotype QM G339384. A. Tridentate 'unguiferate' anisochelae. B. Sigmancistra. C. Large mycalostyles. D. Magnified ends of the mycalostyle illustrated in C. E. Medium sized mycalostyle. F. Magnified ends of the mycalostyle illustrated in E. G. Lure style. H. Magnified ends of the lure style illustrated in G. I. Strongyle. J. Magnified ends of the strongyle illustrated in I.
FIGURE 10 in New carnivorous sponges from the Great Barrier Reef, Queensland, Australia collected by ROV from the RV FALKOR
FIGURE 10. Asbestopluma (Asbestopluma) biserialis (Ridley & Dendy, 1886). A. Large fragment of Lectotype NHMUK 1887.5.2.187. B. Two fragments of NHMUK 1887.5.2.187 magnified showing flatted stem and biserial arrangement of the filaments. C. Paralectotype NHMUK 1887.5.2.190.
FIGURE 8 in New carnivorous sponges from the Great Barrier Reef, Queensland, Australia collected by ROV from the RV FALKOR
FIGURE 8. Asbestopluma (Asbestopluma) maxisigma Ekins et al. 2020a. A. QM G339376 underwater. B–D. Close up of QM G339376 underwater as being harvested by the ROV SuBastian. E. QM G339376 fixed specimen. F. Close up of the stem and filaments. G. Scanning electron microscope of the stem showing the radial filaments. H. Ectosomal layer of the stem showing the anisochelae and sigmas, with the underlying styles. I. Filament emerging from the stem heavily encrusted with anisochelae and sigmas.
FIGURE 3 in New carnivorous sponges from the Great Barrier Reef, Queensland, Australia collected by ROV from the RV FALKOR
FIGURE 3. Chondrocladia (Chondrocladia) zygainadentonis Ekins et al., 2020a. QM G339304. A. Tridentate unguiferate isochelae. B. Large unguiferate isochelae. C. Mycalostyle. D. Close up of the mycalostyle ends in C. E. Subtylostyles. F. Close up of the subtylostyle ends in E. G. Styles in the root like appendages. H. Close up of the ends of the styles in G. I. Very thin supportive styles. J. Close up of the ends of the styles in I. K. Thin subtylostyles. L. Sigmancistras.
FIGURE 2 in New carnivorous sponges from the Great Barrier Reef, Queensland, Australia collected by ROV from the RV FALKOR
FIGURE 2. Chondrocladia (Chondrocladia) zygainadentonis Ekins et al., 2020a. A. the specimen QM G339304 underwater in vivo. B. Specimen QM G339304 fixed. C. Branch with filaments under a dissection microscope. D. Branch with filaments under scanning electron microscope. E. Filament with the ectosomal skeleton of tridentate unguiferate isochelae. F. Root like processes, showing the bundles of styles, with no specialised ectosomal layer.
Data from: Mapping coral and sponge habitats on a shelf-depth environment using multibeam sonar and ROV video observations: Learmonth Bank, northern British Columbia, Canada
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ROV-Based Multi-Sensor Dataset: Synchronized Camera and Sonar images taken in the Tropical Waters of the Red Sea, Eilat
<p><strong>Description:</strong></p> <p>This dataset consists of approximately 46,928 synchronized image pairs collected by the Blue-ROV2. The images were captured using a machine-vision camera (IDS UI-3260CP-C-HQ) and a BluePrint Oculus M1200d Forward-Looking Sonar (FLS). Both sensors were installed with the FLS tilted 15 degrees downward to achieve optimal coverage of the terrain and optimal FOV overlap.</p> <p>The data was collected to train and evaluate a comprehensive perception and obstacle avoidance framework.</p> <p> </p> <p><strong>Context:</strong></p> <p>This dataset is the second installment in our collection of synchronized multi-sensor underwater datasets, aimed at enabling advanced research in multi-modal sensor fusion, obstacle detection, and navigation for autonomous underwater vehicles (AUVs). The data was collected using the Blue-ROV2 Remotely Operated Vehicle (ROV) in the tropical waters of the Red Sea, off the coast of Eilat, Israel. This data captures diverse underwater environments and is part of a research project focused on developing fusion models for improved obstacle detection and navigation in AUVs.</p> <p> </p> <p><strong>Content:</strong></p> <p>The data encompasses several sites within the tropical waters of the Red Sea, Eilat, including corals, rocks, shipwrecks, man-made structures, piers, and caves. The ROV platform was operated by divers, ensuring accurate positioning and coverage. Data was acquired at depths ranging from 3 to 12 meters at different times from dawn to dusk.</p> <p><strong> </strong></p> <p><strong>Dataset Composition:</strong><strong><br></strong></p> <div> <table> <tbody> <tr> <td> <p>Site</p> </td> <td> <p>Recording Session</p> </td> <td> <p>Image Pairs</p> </td> <td> <p>Description</p> </td> </tr> <tr> <td> <p>Tropical Site 1</p> </td> <td> <p>20221211_092506</p> <p>20221211_133252</p> </td> <td> <p>10,915</p> <p>7,978</p> </td> <td> <p>Pier, rocks, corals</p> </td> </tr> <tr> <td> <p>Tropical Site 2</p> </td> <td> <p>20221212_095821</p> <p>20221212_141308</p> </td> <td> <p>9,900</p> <p>8,475</p> </td> <td> <p>Man-made structure, </p> <p>rocks, corals</p> </td> </tr> <tr> <td> <p>Tropical Site 3</p> </td> <td> <p>20221213_102542</p> </td> <td> <p>9,390</p> </td> <td> <p>Rocks, corals</p> </td> </tr> <tr> <td> <p>Total</p> </td> <td> </td> <td> <p>46,928 </p> </td> <td> </td> </tr> </tbody> </table> </div> <p><strong> </strong></p> <p>The dataset is organized into separate sessions, each representing a specific dive or experiment. Within each session, data is further categorized into modalities: camera (FLC images), sonar (FLS images), and depth. Each modality directory contains the corresponding data files in PNG format for images and CSV format for depth data.</p> <p><strong> </strong></p> <p>Each modality directory includes:</p> <ul> <li> <p>A `camera.csv` file for the camera modality that maps each image file to its respective timestamp.</p> </li> <li> <p>A `sonar.csv` file for the sonar modality that maps each image file to its respective timestamp.</p> </li> <li> <p>The depth data in `depth.csv` formatted with `timestamp` and `value`.</p> </li> </ul> <p>Additionally, a `samples.json` file documents the relationship between uni-modal and multi-modal samples, enabling easy association of data from different modalities.</p> <p><strong> </strong></p> <p><strong>Technical Details:</strong></p> <ul> <li> <p>Camera: IDS UI-3260CP-C-HQ</p> </li> <ul> <li> <p>Image dimensions: 1936x1216 pixels (downscaled to 968 × 608 for this dataset)</p> </li> <li> <p>Sensor type: Sony IMX249 1/1.2" CMOS</p> </li> <li> <p>Lens: Tamron M112FM06</p> </li> <li> <p>Captured bit depth: 8-bit</p> </li> <li> <p>Frame rate: 5 Hz</p> </li> </ul> <li> <p>Sonar: BluePrint Oculus M1200d</p> </li> <ul> <li> <p>Operating frequency: 1.2 MHz (low frequency mode)</p> </li> <li> <p>Maximum range: 40 m (set to 15 m for this dataset)</p> </li> <li> <p>Horizontal aperture: 130°</p> </li> <li> <p>Vertical aperture: 20°</p> </li> <li> <p>Number of beams: 512</p> </li> <li> <p>Angular resolution: 0.6°</p> </li> <li> <p>Beam separation: 0.25°</p> </li> <li> <p>Image resolution: 544x300 pixels</p> </li> <li> <p>Coordinate system: Polar</p> </li> <li> <p>Frame rate: 5 Hz</p> </li> </ul> <li> <p>Depth: Blue-Robotics Ping2 Sonar Altimeter and Echosounder</p> </li> <ul> <li> <p>Frequency: 115 kHz</p> </li> <li> <p>Source Level: 198 dB re 1µPa @ 1m</p> </li> <li> <p>Beamwidth: 25 degrees</p> </li> <li> <p>Typical Minimum Range: 0.3 m (1 ft)</p> </li> <li> <p>Typical Usable Range: 100 m (328 ft)</p> </li> <li> <p>Range Resolution: 0.5% of range</p> </li> <li> <p>Depth Rating: 300 m (984 ft)</p> </li> <li> <p>Data format: CSV</p> </li> <li> <p>Columns:</p> </li> <ul> <li> <p>timestamp: Unix timestamp (seconds)</p> </li> <li> <p>value: Depth value (meters)</p> </li> </ul> <li> <p>Sample rate: 5 Hz</p> </li> </ul> </ul> <p><strong> </strong></p> <p><strong>Example File Tree Layout:</strong></p> <p>```<br>${session}/<br>${dataset}/<br>camera/<br>camera.csv<br>00000001.png<br>00000002.png<br>…<br>sonar/<br>sonar.csv<br>00000001.png<br>00000002.png<br>…<br>depth/<br>depth.csv<br>samples.json<br>```<strong> <br><br>Example File Content:</strong></p> <p><strong> </strong>camera.csv<br>```<br>timestamp,filename<br>1644234340.181234,00000001.png<br>1644234343.375667,00000002.png<br>```</p> <p><strong> </strong>sonar.csv<br>```<br>timestamp,filename<br>1644234340.181234,00000001.png<br>1644234343.375667,00000002.png<br>```</p> <p><strong> </strong>depth.csv<br>```<br>timestamp,value<br>1644234340.181234,5.4<br>1644234343.375667,6.1<br>```</p> <p><strong> </strong>samples.json</p> <p>```<br>{<br> "samples": [<br> {<br> "camera": [<br> 0<br> ],<br> "depth": [<br> 0<br> ],<br> "sonar": [<br> 0<br> ]<br> },<br> {<br> "camera": [<br> 1<br> ],<br> "depth": [<br> 1<br> ],<br> "sonar": [<br> 1<br> ]<br> }<br>]</p> <p>```</p> <p>By providing synchronized and aligned camera, sonar imagery, and depth data, this dataset enables researchers to explore novel algorithms and techniques for multi-modal sensor fusion in the context of autonomous underwater vehicles operating in the tropical waters of the Red Sea.</p> <p><strong>Acknowledgements</strong></p> <p>The data in this repository is part of the DeeperSense project that received funding from the European Commission, Program H2020-ICT-2020-2 ICT-47-2020, Project Number: 101016958.</p>
FIGURE 1 in New carnivorous sponges from the Great Barrier Reef, Queensland, Australia collected by ROV from the RV FALKOR
FIGURE 1. Map of the cruise showing the collection locations and depths of the species described.
FIGURE 1. Sampling sites where the study material was collected. 1, ROV Dive H1435, East Wolf Seamount. 2, ROV Dive H1436, East Darwin Seamount. 3, ROV Dive H1443 in Chirostyloidean squat lobsters (Crustacea: Decapoda: Anomura) from the Galapagos Islands
FIGURE 1. Sampling sites where the study material was collected. 1, ROV Dive H1435, East Wolf Seamount. 2, ROV Dive H1436, East Darwin Seamount. 3, ROV Dive H1443, between Santiago and Isabela Islands (map downloaded from Google).
FIGURE 9 in New carnivorous sponges from the Great Barrier Reef, Queensland, Australia collected by ROV from the RV FALKOR
FIGURE 9. Asbestopluma (Asbestopluma) maxisigma Ekins et al., 2020. A. Anisochelae. B. Sigmas. C. Large mycalostyle. D. Magnified ends of the mycalostyle depicted in C. E. Smaller subtylostyle. F. Magnified ends of the subtylostyle depicted in F. G. Acanthostyles. H. Magnified ends of the acanthostyles in G.
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