Perception, Scene Reconstruction And World Modeling For Unmanned Underwater Vehicles

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Perception, Scene Reconstruction And World Modeling For Unmanned Underwater Vehicles

1993
Series: MITSG ; 92-94

[PDF-872.23 KB]

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Details:

NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; Sea Grant

OAR (Oceanic and Atmospheric Research) ; Sea Grant Less -
Sea Grant Program:

MIT (MIT Sea Grant)
Description:

This report is a compilation of synopses of presentations given at an MIT Sea Grant Collegium workshop in January, 1993. Topics include, but are not limited to, development and application of polarized vision systems, object recognition and classification using neural networks, sonar data fusion for 3-D scene reconstruction, map representation and interrogation for AUV navigation, and environmental models and information assimilation for autonomous systems. A bibliography is included.
Series:

MITSG ; 92-94
Sea Grant Document Number:

MIT-W-93-001
Document Type:

Conference Proceeding
Rights Information:

Public Domain
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:3682952a7a152416e115f4f9c0d915b2506c8d9462be9c822a790f8d6bdbcc1f
Download URL:

https://repository.library.noaa.gov/view/noaa/42192/noaa_42192_DS1.pdf
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Perception, Scene Reconstruction And World Modeling For Unmanned Underwater Vehicles

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