Mobile underwater debris survey system (MUDSS)

Carroll, P; Lathrop, John D.; McCormick, J.F.; Summey, Delbert C.

doi:10.1109/igarss.1998.699528

Cited by 3 publications

(1 citation statement)

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“…Indeed, as mentioned before, millions of acres of ponds, lakes, rivers, estuaries and coastal ocean areas are scattered with munitions, especially in the case they are adjacent to active and former military installations. One of the first modern accounts of this kind of systems appeared in [11], where the authors presented MUDSS (Mobile Underwater Debris Survey System), i.e., a multi-sensor system for the surveying of underwater OEW. In particular, they resorted to a combination of two different sonars with a laser line scanner, capable of 6 mm resolution, and a gradiometer.…”

Section: Related Workmentioning

confidence: 99%

An integrated low-cost system for object detection in underwater environments

Foresti¹,

Scagnetto²

2022

ICA

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We propose a novel low-cost integrated system prototype able to recognize objects/lifeforms in underwater environments. The system has been applied to detect unexploded ordnance materials in shallow waters. Indeed, small and agile remotely controlled vehicles with cameras can be used to detect unexploded bombs in shallow waters, more effectively and freely than complex, costly and heavy equipment, requiring several human operators and support boats. Moreover, visual techniques can be easily combined with the traditional use of magnetometers and scanning imaging sonars, to improve the effectiveness of the survey. The proposed system can be easily adapted to other scenarios (e.g., underwater archeology or visual inspection of underwater pipelines and implants), by simply replacing the Convolutional Neural Network devoted to the visual identification task. As a final outcome of our work we provide a large dataset of images of explosive materials: it can be used to compare different visual techniques on a common basis.

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Section: Related Workmentioning

confidence: 99%

An integrated low-cost system for object detection in underwater environments

Foresti¹,

Scagnetto²

2022

ICA

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Mobile Underwater Debris Survey System (MUDSS)

Summey¹,

McCormick²,

Carroll³

Oceans '99. MTS/IEEE. Riding the Crest Into the 21st Century. Conference and Exhibition. Conference Proceedings (IEEE Cat. No.9

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This paper reports on the development of MUDSS, a multi-sensor system for the surveying of underwater ordinance and explosive waste (OEW) in shallow water (10' to 200'). The MUDSS concept and mode of operation are described and operational performance of the MUDSS state-of-the-art (SOA) sensors is presented from preliminary tests against a range of OEW targets. MUDSS employs achcanced real-time processing and data fusion techniques to improve target detection in the presence of clutter, a significant problem in many shallow water sites of interest. MUDSS is expected to provide a substantial and unmatched capability to accurately swey underwater sites as the first step to remediation.

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