Autonomous adaptive environmental assessment and feature tracking via autonomous underwater vehicles

Autonomous adaptive environmental assessment and feature tracking via autonomous underwater vehicles

In the underwater environment, spatiotemporally dynamic environmental conditions pose challenges to the detection and tracking of hydrographic features. A useful tool in combating these challenge is Autonomous Adaptive Environmental Assessment (AAEA) employed on board Autonomous Underwater Vehicles...

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Bibliographic Details
Main Authors: Petillo, Stephanie Marie (Contributor), Balasuriya, Arjuna Prabhath (Contributor), Schmidt, Henrik (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Massachusetts Institute of Technology. Department of Ocean Engineering (Contributor), Massachusetts Institute of Technology. Laboratory for Autonomous Marine Sensing Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2013-09-25T19:47:10Z.
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