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001449278 001__ 1449278
001449278 003__ OCoLC
001449278 005__ 20230310004352.0
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001449278 019__ $$a1343719226
001449278 020__ $$a9783031093968$$q(electronic bk.)
001449278 020__ $$a3031093968$$q(electronic bk.)
001449278 020__ $$z303109395X
001449278 020__ $$z9783031093951
001449278 0247_ $$a10.1007/978-3-031-09396-8$$2doi
001449278 035__ $$aSP(OCoLC)1343899581
001449278 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ
001449278 049__ $$aISEA
001449278 050_4 $$aTA1650
001449278 08204 $$a006.4/2$$223/eng/20220907
001449278 1001_ $$aTsintotas, Konstantinos A.,$$eauthor.
001449278 24510 $$aOnline appearance-based place recognition and mapping :$$btheir role in autonomous navigation /$$cKonstantinos A. Tsintotas, Loukas Bampis, Antonios Gasteratos.
001449278 264_1 $$aCham :$$bSpringer,$$c[2022]
001449278 264_4 $$c©2022
001449278 300__ $$a1 online resource (xxi, 111 pages) :$$billustrations (chiefly color).
001449278 336__ $$atext$$btxt$$2rdacontent
001449278 337__ $$acomputer$$bc$$2rdamedia
001449278 338__ $$aonline resource$$bcr$$2rdacarrier
001449278 4901_ $$aSpringer tracts in advanced robotics ;$$vvolume 133
001449278 504__ $$aIncludes bibliographical references.
001449278 5050_ $$aThe revisiting problem in simultaneous localization and mapping -- Benchmarking -- Probabilistic appearance-based place recognition through hierarchical mapping -- Dynamic places denition for sequence-based visual place recognition -- Modest-vocabulary loop-closure detection with incremental bag of Tracked words -- Open challenges and conclusion.
001449278 506__ $$aAccess limited to authorized users.
001449278 520__ $$aThis book introduces several appearance-based place recognition pipelines based on different mapping techniques for addressing loop-closure detection in mobile platforms with limited computational resources. The motivation behind this book has been the prospect that in many contemporary applications efficient methods are needed that can provide high performance under run-time and memory constraints. Thus, three different mapping techniques for addressing the task of place recognition for simultaneous localization and mapping (SLAM) are presented. The book at hand follows a tutorial-based structure describing each of the main parts needed for a loop-closure detection pipeline to facilitate the newcomers. It mainly goes through a historical review of the problem, focusing on how it was addressed during the years reaching the current age. This way, the reader is initially familiarized with each part while the place recognition paradigms follow.
001449278 588__ $$aDescription based on print version record.
001449278 650_0 $$aOptical pattern recognition.
001449278 650_0 $$aAutomation.
001449278 655_0 $$aElectronic books.
001449278 7001_ $$aBampis, Loukas,$$eauthor.
001449278 7001_ $$aGasteratos, Antonios,$$eauthor.
001449278 77608 $$iPrint version:$$aTSINTOTAS, KONSTANTINOS A.$$tONLINE APPEARANCE-BASED PLACE RECOGNITION AND MAPPING.$$d[Place of publication not identified] : SPRINGER, 2022$$z303109395X$$w(OCoLC)1322367936
001449278 830_0 $$aSpringer tracts in advanced robotics ;$$vv. 133.
001449278 852__ $$bebk
001449278 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-09396-8$$zOnline Access$$91397441.1
001449278 909CO $$ooai:library.usi.edu:1449278$$pGLOBAL_SET
001449278 980__ $$aBIB
001449278 980__ $$aEBOOK
001449278 982__ $$aEbook
001449278 983__ $$aOnline
001449278 994__ $$a92$$bISE