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020 _a9783031595318
_9978-3-031-59531-8
050 4 _aTJ212-225
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_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aTJFM
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082 0 4 _a629.8
_223
245 1 0 _aScanning Technologies for Autonomous Systems
_h[electronic resource] /
_cedited by Julio C. Rodríguez-Quiñonez, Wendy Flores-Fuentes, Moises J. Castro-Toscano, Oleg Sergiyenko.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXIX, 438 p. 305 illus., 271 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart 1 Scanning Technologies for Navigation and Area Mapping -- Chapter 1 Methodology of Assigning Terrain Objects Images to the Class of Landmarks for Autonomous Mobile Robots -- Chapter 2 Scanning Systems for Environment Perception in Autonomous Navigation -- Chapter 3 Autonomous Visual 3D Mapping of the Ocean Floor by Underwater Robots Equipped with a Single Photo Camera -- Chapter 4 Flexible Multi-Camera Virtual Focal Plane: A Light-Field Dynamic Homography Approach -- Part 2 Scanning Technologies for Medical and Industrial Applications -- Chapter 5 US Scanning Technologies and AI -- Chapter 6 Optical 3D Scanning System in Medical Applications -- Chapter 7 Depth Measurement with a Rotating Camera System for Robotic Applications -- Part 3 Innovative Data Processing Solutions for Scanning Technologies -- Chapter 8 Investigating the Effects of Subsampling Processes to Point Cloud Data on the Generation of 3D Models of Archaeological Monuments -- Chapter 9 Approach to Background Suppression in Scanning Machine Vision Systems -- Chapter 10 Point Cloud Optimization Employing Multisensory Vision -- Part 4 Sensing Applications across Systems, Technological Advancements -- Chapter 11 Person-Centric Sensing in Indoor Environments -- Chapter 12 Machine Vision for Solid Waste Detection -- Chapter 13 Developing a Hardware and Software Complex for Measuring the Three-Dimensional Ice Geometry on Object Surface.
520 _aThis book provides the theory, methodology, and uses of scanning technologies for the application of autonomous systems. The authors provide readers with an understanding of different technologies and methods to perform scanning technologies and their optimal application depending on the kind of autonomous system. Also, the book presents a compilation of original high-quality contributions and research results from worldwide authors on emerging new autonomous systems based on different scanning technologies. This book is a valuable reference for engineering professionals and the scientific community. Presents novel research results in scanning technologies for autonomous systems; Includes detailed explanations of established mature information around navigation, area mapping and data processing; Provides scanning technologies and methodologies for a variety of applications.
541 _fUABC ;
_cPerpetuidad
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 0 _aPattern recognition systems.
650 0 _aMachine learning.
650 1 4 _aControl, Robotics, Automation.
650 2 4 _aAutomated Pattern Recognition.
650 2 4 _aMachine Learning.
700 1 _aRodríguez-Quiñonez, Julio C.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aFlores-Fuentes, Wendy.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCastro-Toscano, Moises J.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSergiyenko, Oleg.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031595301
776 0 8 _iPrinted edition:
_z9783031595325
776 0 8 _iPrinted edition:
_z9783031595332
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-59531-8
912 _aZDB-2-INR
912 _aZDB-2-SXIT
942 _cLIBRO_ELEC
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