Description
This dataset contains sonar image data collected from various locations in Bath and Bristol, UK. It was collected using an autonomous uncrewed surface vessel (USV) equipped with Blueprint Subsea StarFish 450 and StarFish 990 side scanning sonar.
The higher resolution images were used to train convolutional neural networks (CNNs) for autonomous detection of a sunken mannequin, used as a proxy for a drowning victim in missing persons scenarios.
The higher resolution images were used to train convolutional neural networks (CNNs) for autonomous detection of a sunken mannequin, used as a proxy for a drowning victim in missing persons scenarios.
| Date made available | 30 Oct 2024 |
|---|---|
| Publisher | University of Bath |
| Date of data production | 5 Oct 2017 - 8 Apr 2022 |
| Geographical coverage | Kennet and Avon Canal, UK. Minerva Bath Rowing Club, Bath, UK. Underfall Yard, Bristol, UK. |
Research output
- 2 Article
-
Automated Recognition of Submerged Body-like Objects in Sonar Images Using Convolutional Neural Networks
Nga, Y. Z., Rymansaib, Z., Anthony Treloar, A. & Hunter, A. J., 1 Nov 2024, In: Remote Sensing. 16, 21, 4036.Research output: Contribution to journal › Article › peer-review
Open Access4 Link opens in a new tab Citations (SciVal) -
A prototype autonomous robot for underwater crime scene investigation and emergency response
Rymansaib, Z., Thomas, B., Treloar, A. A., Metcalfe, B., Wilson, P. & Hunter, A., 1 Aug 2023, In: Journal of Field Robotics. 40, 5, p. 983-1002 20 p.Research output: Contribution to journal › Article › peer-review
Open Access10 Link opens in a new tab Citations (SciVal)
Projects
- 1 Active
-
Human-Machine Learning of Ambiguities to Support Safe, Effective, and Legal Decision Making
Hunter, A. (PI)
Engineering and Physical Sciences Research Council
15/06/23 → 14/06/26
Project: Research council
Cite this
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