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Autonomous Nested Search for Hydrothermal Venting

Authors :
Seewald, Jeffrey S
Hand, Kevin P
Bowen, Andrew D
Kinsey, James C
Chien, Steve
German, Christopher R
Jakuba, Michael V
Guangyu, Xu
Branch, Andrew
Publication Year :
2018
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2018.

Abstract

Ocean Worlds in the outer solar system represent one of the best chances for the discovery of extra-terrestrial life. Bodies, such as Europa and Enceladus, are thought to harbor liquid oceans, often encased in a thick icy shell. In order to further investigate these oceans, a new mission concept needs to be developed, a submersible craft. This vehicle would be required to traverse the icy shell and travel hundreds or even thousands of kilometers to survey the ocean below. In doing this, the vehicle might be out of contact for weeks or months at a time. The vehicle must be able to autonomously detect,locate, and study features of interest. One potential target is hydrothermal venting, due to their unique ecosystems on Earth. We have developed an autonomous, nested search strategy to locate sources of hydrothermal venting based on currently used methods. To test this search technique a simulation environment was developed using a hydrothermal plume dispersion simulation and a vehicle model. We show the effectiveness of the search method in this environment.

Details

Language :
English
Database :
NASA Technical Reports
Publication Type :
Report
Accession number :
edsnas.20210008556
Document Type :
Report