000 03322nam a22005055i 4500
001 978-3-642-32015-6
003 DE-He213
005 20200420221258.0
007 cr nn 008mamaa
008 120822s2013 gw | s |||| 0|eng d
020 _a9783642320156
_9978-3-642-32015-6
024 7 _a10.1007/978-3-642-32015-6
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aGelin, Chrystel.
_eauthor.
245 1 2 _aA High-Rate Virtual Instrument of Marine Vehicle Motions for Underwater Navigation and Ocean Remote Sensing
_h[electronic resource] /
_cby Chrystel Gelin.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXVIII, 98 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping,
_x2194-8445 ;
_v1
505 0 _aIntroduction.-Instrumentation and data acquisition system -- Data processing -- ADCP Processing -- At-sea experiment of data acquisition system.
520 _aDead-Reckoning aided with Doppler velocity measurement has been the most common method for underwater navigation for small vehicles. Unfortunately DR requires frequent position recalibrations and underwater vehicle navigation systems are limited to periodic position update when they surface. Finally standard Global Positioning System (GPS) receivers are unable to provide the rate or precision required when used on a small vessel. To overcome this, a low cost high rate motion measurement system for an Unmanned Surface Vehicle (USV) with underwater and oceanographic purposes is proposed. The proposed onboard system for the USV consists of an Inertial Measurement Unit (IMU) with accelerometers and rate gyros, a GPS receiver, a flux-gate compass, a roll and tilt sensor and an ADCP. Interfacing all the sensors proved rather challenging because of their different characteristics. The proposed data fusion technique integrates the sensors and develops an embeddable software package, using real time data fusion methods, for a USV to aid in navigation and control as well as controlling an onboard Acoustic Doppler Current Profiler (ADCP). While ADCPs non-intrusively measure water flow, the vessel motion needs to be removed to analyze the data and the system developed provides the motion measurements and processing to accomplish this task.
650 0 _aEngineering.
650 0 _aOceanography.
650 0 _aComputer-aided engineering.
650 0 _aControl engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aOceanography.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642320149
830 0 _aSpringer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping,
_x2194-8445 ;
_v1
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-32015-6
912 _aZDB-2-ENG
942 _cEBK
999 _c53018
_d53018