Marine robots are being increasingly deployed in environmental
sensing and ocean observation applications. The key challenges in
mobile ocean sensing are to design and control the motion of the
robots to collect Lagrangian data over a large spatial domain, and
then convert these Lagrangian data streams into Eulerian
spatial-temporal maps for scientific and operational benefits. This
monograph introduces cyber maritime cycle as a collection of
feedback loops where the flow of data is regulated by functional
blocks of autonomy. As a new development, the split between the
data-driven cycle and the geo-scientific modeling cycle allows the
separation of data streams with different time and spatial scales.
This separation allows the conversion between Lagrangian and
Eulerian data representations to happen more frequently for
navigation of marine robots. This monograph introduces the overall
systems architecture and patterns for data streams that enables
autonomy for marine robots towards environmental sensing
applications. It is an ideal reference for researchers, students or
practitioners already doing research in this field, or planning to
do so.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
