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Proceedings Paper

Close-range sensors for small unmanned bottom vehicles
Author(s): Charles L. Bernstein
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Paper Abstract

The Surf Zone Reconnaissance Project is developing sensor for small, autonomous, Underwater Bottom-crawling Vehicles (UBVs) for detection and classification of images and obstacles on the ocean bottom in depths between 0 and 20 feet. The challenge is to exploit many target features by using a suite of small, inexpensive, and low-power sensors. The goal is to enable the UBVs to detect and classify objects on the sea floor autonomously. A unique aspect of the project is that sensing can occur at very short ranges. The goal for detection range is two to four meters, and classification may involve direct contact between the sensor and the target. The techniques under development include mechanical impulse response, surface profiling, magnetic anomaly sensing, pulse-induction sensing, shape tracing, and imaging. Initial studies have confirmed the usefulness of several of these techniques. Specific behaviors, termed microbehaviors, are being developed to support each sensor by exploiting the vehicle's mobility. Project plans for FY99 and FY00 include construction of a prototype sensor suite and collection of a signature database. The database will be used to develop fusion, detection, and classification algorithms that will be demonstrated over the next four years for the Office of Naval Research.

Paper Details

Date Published: 23 July 1999
PDF: 11 pages
Proc. SPIE 3711, Information Systems for Navy Divers and Autonomous Underwater Vehicles Operating in Very Shallow Water and Surf Zone Regions, (23 July 1999); doi: 10.1117/12.354644
Show Author Affiliations
Charles L. Bernstein, Naval Surface Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 3711:
Information Systems for Navy Divers and Autonomous Underwater Vehicles Operating in Very Shallow Water and Surf Zone Regions
Jody L. Wood-Putnam, Editor(s)

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