@book{
 title = {A virtual reality framework for multimodal imagery for vessels in polar regions},
 type = {book},
 year = {2017},
 source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
 identifiers = {[object Object]},
 volume = {10133 LNCS},
 id = {b6632d64-7c12-31ae-b298-d2576f67d579},
 created = {2018-01-25T21:12:04.934Z},
 file_attached = {false},
 profile_id = {5cd3e5c4-6fbf-3497-86a2-c05887b8b938},
 last_modified = {2018-01-25T21:12:04.934Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {© Springer International Publishing AG 2017. Maintaining total awareness when maneuvering an icebreaking vessel is key to its safe operation. Camera systems are commonly used to augment the capabilities of those piloting the vessel, but rarely are these camera systems used beyond simple video feeds. To aid in visualization for decision making and operation, we present a scheme for combining multiple modalities of imagery into a cohesive Virtual Reality application which provides the user with an immersive, real scale, view of conditions around a research vessel operating in polar waters. The system incorporates imagery from a 360◦ Long-wave Infrared camera as well as an optical band stereo camera system. The Virtual Reality application allows the operator multiple natural ways of interacting with and observing the data, as well as provides a framework for further inputs and derived observations.},
 bibtype = {book},
 author = {Sorensen, S. and Kolagunda, A. and Mahoney, A.R. and Zitterbart, D.P. and Kambhamettu, C.}
}

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