04682nam a22005895i 4500 978-3-031-59531-8 DE-He213 20251030112635.0 cr nn 008mamaa 240718s2024 sz | s |||| 0|eng d 9783031595318 978-3-031-59531-8 10.1007/978-3-031-59531-8 doi TJ212-225 TJ210.2-211.495 TJFM bicssc TEC007000 bisacsh TJFM thema Scanning Technologies for Autonomous Systems [electronic resource] / edited by Julio C. Rodríguez-Quiñonez, Wendy Flores-Fuentes, Moises J. Castro-Toscano, Oleg Sergiyenko. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXIX, 438 p. 305 illus., 271 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Part 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. This 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. Control engineering. Robotics. 59148 Automation. 59149 Pattern recognition systems. 65547 Machine learning. 55059 Control, Robotics, Automation. Automated Pattern Recognition. 65551 Machine Learning. 55059 Rodríguez-Quiñonez, Julio C. editor. edt http://id.loc.gov/vocabulary/relators/edt 80815 Flores-Fuentes, Wendy. editor. edt http://id.loc.gov/vocabulary/relators/edt 75520 Castro-Toscano, Moises J. editor. edt http://id.loc.gov/vocabulary/relators/edt 80816 Sergiyenko, Oleg. editor. edt http://id.loc.gov/vocabulary/relators/edt 80817 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031595301 Printed edition: 9783031595325 Printed edition: 9783031595332 https://doi.org/10.1007/978-3-031-59531-8 ZDB-2-INR ZDB-2-SXIT 61707 61707