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Automated robotic tracking of gelati...

Rife, Jason H.

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Automated robotic tracking of gelatinous animals in the deep ocean.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Automated robotic tracking of gelatinous animals in the deep ocean./
Author:	Rife, Jason H.
Description:	286 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5712.
Contained By:	Dissertation Abstracts International64-11B.
Subject:	Engineering, Marine and Ocean. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3111784

Automated robotic tracking of gelatinous animals in the deep ocean.
Rife, Jason H.

Automated robotic tracking of gelatinous animals in the deep ocean. - 286 p.

Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5712.

Thesis (Ph.D.)--Stanford University, 2004.

This dissertation introduces new technologies to enable autonomous robotic tracking of gelatinous animals in the deep ocean. The expense and challenge of accessing the deep ocean continue to limit long-duration observations of gelatinous marine Subjects--Topical Terms:

1019064
Engineering, Marine and Ocean.

Automated robotic tracking of gelatinous animals in the deep ocean.
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100 1 $a Rife, Jason H. $3 1950122
245 1 0 $a Automated robotic tracking of gelatinous animals in the deep ocean.
300 $a 286 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5712.
500 $a Adviser: Stephen M. Rock.
502 $a Thesis (Ph.D.)--Stanford University, 2004.
520 $a This dissertation introduces new technologies to enable autonomous robotic tracking of gelatinous animals in the deep ocean. The expense and challenge of accessing the deep ocean continue to limit long-duration observations of gelatinous marine
520 $a Automation addresses the two significant limitations associated with current-generation technologies for gelatinous-animal observation: human-pilot fatigue and infrastructure cost. To overcome these limitations, this dissertation develops a core
520 $a Key challenges in the design of a reliable jellyfish-tracking robot include the development of visual sensing and automatic control components tailored to the application. A new vision design tool, called segmentation efficiency, is introduced t
520 $a A series of dive experiments in the Monterey Bay validated the combined vision and control system under field conditions. These experiments resulted in repeated successful demonstrations of animal tracking for periods as long as 89 minutes. Addi
590 $a School code: 0212.
650 4 $a Engineering, Marine and Ocean. $3 1019064
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Biology, Ecology. $3 1017726
650 4 $a Artificial Intelligence. $3 769149
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3111784