Julio C. Rodríguez-Quiñonez,
Wendy Flores-Fuentes,
Moises J. Castro-Toscano,
Oleg Sergiyenko
e.a.
Springer Nature Switzerland
e druk, 2025
9783031595332
Scanning Technologies for Autonomous Systems
Specificaties
Paperback, blz.
|
Engels
Springer Nature Switzerland |
e druk, 2025
ISBN13: 9783031595332
Rubricering
Levertijd ongeveer 8 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783031595332
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Switzerland
Inhoudsopgave
<p>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.</p>