000 03729cam a2200601 i 4500
001 9781003144281
003 FlBoTFG
005 20220724194448.0
006 m d u
007 cr |||||||||||
008 200828t20212021flua ob 000 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781000346596
_qelectronic book
020 _a1000346595
_qelectronic book
020 _a9781003144281
_qelectronic book
020 _a1003144284
_qelectronic book
020 _a9781000346619
_q(electronic bk. : EPUB)
020 _a1000346617
_q(electronic bk. : EPUB)
020 _a9781000346602
_q(electronic bk. : Mobipocket)
020 _a1000346609
_q(electronic bk. : Mobipocket)
020 _z9780367695781
_qhardcover
024 7 _a10.1201/9781003144281.
_2doi
035 _a(OCoLC)1193559916
035 _a(OCoLC-P)1193559916
050 0 4 _aTC1662
_b.Y834 2021
072 7 _aCOM
_x012000
_2bisacsh
072 7 _aTEC
_x000000
_2bisacsh
072 7 _aTEC
_x009000
_2bisacsh
072 7 _aTHR
_2bicssc
082 0 0 _a623.82/05
_223
100 1 _aYu, Junzhi
_c(Writer on robotics),
_eauthor.
245 1 0 _aVisual perception and control of underwater robots /
_cJunzhi Yu, Xingyu Chen, and Shihan Kong.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2021.
264 4 _c©2021
300 _a1 online resource (xiii, 235 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _a"This book covers theories and applications from aquatic visual perception and underwater robotics. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed. More specifically, the book includes adversarial critic learning for visual restoration, NSGA-II-based calibration for binocular measurement, prior knowledge refinement for object detection, analysis of temporal detection performance, as well as the effect of the aquatic data domain on object detection. With the aid of visual perception technologies, two up-to-date underwater robot systems are demonstrated. The first system focuses on underwater robotic operation for the task of object collection in sea. The other one is an untethered biomimetic robotic fish with a camera stabilizer, its control methods based on visual tracking. The authors provide a self-contained and comprehensive guide to understand underwater visual perception and control. Bridging the gap between theory and practice in underwater vision, the book features implementable algorithms, numerical examples, and tests, where codes are publicly available. Meanwhile, the mainstream technologies that are covered in the book include deep learning, adversarial learning, evolutionary computation, robust control, and underwater bionics. Researchers, senior undergraduate and graduate students, and engineers dealing with underwater visual perception and control will benefit from the book"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aRemote submersibles.
650 0 _aRobots
_xControl systems.
650 0 _aRobot vision.
650 7 _aCOMPUTERS / Computer Graphics / General
_2bisacsh
650 7 _aTECHNOLOGY / General
_2bisacsh
650 7 _aTECHNOLOGY / Engineering / General
_2bisacsh
700 1 _aChen, Xingyu
_c(Writer on robotics),
_eauthor.
700 1 _aKong, Shihan,
_eauthor.
856 4 0 _3Read Online
_uhttps://www.taylorfrancis.com/books/9781003144281
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _2lcc
_cEBK
999 _c17880
_d17880