The Surf Zone Reconnaissance Project is developing sensors for small, autonomous, underwater bottom-crawling vehicles 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. 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 for the Office of Naval Research.


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    Title :

    Close-range sensors for small unmanned bottom vehicles


    Contributors:


    Publication date :

    1999


    Size :

    11 Seiten, 5 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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