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008 220901s2022 sz | s |||| 0|eng d
020 _a9783031093968
024 7 _a10.1007/978-3-031-09396-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
100 1 _aTsintotas, Konstantinos A
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aOnline Appearance-Based Place Recognition and Mapping
_bTheir Role in Autonomous Navigation
_cby Konstantinos A Tsintotas, Loukas Bampis, Antonios Gasteratos
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XXI, 111 páginas)
_b40 ilustraciones, 35 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSpringer Tracts in Advanced Robotics
_x1610-742X
_v133
505 0 _aThe revisiting problem in simultaneous localization and mapping -- Benchmarking -- Probabilistic appearance-based place recognition through hierarchical mapping -- Dynamic places' definition for sequence-based visual place recognition -- Modest-vocabulary loop-closure detection with incremental bag of Tracked words -- Open challenges and conclusion.
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.
700 1 _aBampis, Loukas
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aGasteratos, Antonios
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9783031093951
776 0 8 _iPrinted edition:
_z9783031093975
776 0 8 _iPrinted edition:
_z9783031093982
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-09396-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Robotics_2022
999 _c393885
_d393885