Advances in Platforms and Algorithms for High Resolution Mapping in the Marine Environment
| Autor: | Jeffrey W. Kaeli, R. Thomas Sayre-McCord, Chris Murphy, Peter Kimball, Clayton Kunz, Hanumant Singh |
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| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science business.industry High resolution Robotics 02 engineering and technology 01 natural sciences Beam pattern Underwater vehicle Underwater imaging 0202 electrical engineering electronic engineering information engineering Systems engineering ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS 020201 artificial intelligence & image processing Artificial intelligence Underwater business 0105 earth and related environmental sciences Data transmission |
| Zdroj: | Sensing and Control for Autonomous Vehicles ISBN: 9783319553719 |
| DOI: | 10.1007/978-3-319-55372-6_5 |
| Popis: | A confluence of technologies is changing the manner in which we approach the use of Autonomous Underwater Vehicles (AUVs) in the marine environment. In this paper we review the role of several of these technologies and the way interactions between them will now enable the use of adaptive methodologies for mapping and exploring the underwater environment. We focus primarily on imaging sensors but these methodologies are widely applicable for other types of sensing modalities as well. We look at the role of acoustic telemetry, multi-hop underwater data transmission, in-situ machine learning techniques, and mapping in highly dynamic environments such as under sea ice. In addition, we discuss the role of “hobby” robotics for surface and aerial vehicles in the marine environment. |
| Databáze: | OpenAIRE |
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