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Scanning Technologies for Autonomous Systems / edited by Julio C. Rodríguez-Quiñonez, Wendy Flores-Fuentes, Moises J. Castro-Toscano, Oleg Sergiyenko.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

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Format:
Book
Author/Creator:
Rodríguez-Quiñonez, Julio C., author.
Contributor:
Rodríguez-Quiñonez, Julio C., editor.
Language:
English
Subjects (All):
Automatic control.
Robotics.
Automation.
Pattern recognition systems.
Machine learning.
Control, Robotics, Automation.
Automated Pattern Recognition.
Machine Learning.
Local Subjects:
Control, Robotics, Automation.
Automated Pattern Recognition.
Machine Learning.
Physical Description:
1 online resource (455 pages)
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Summary:
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.
Contents:
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.
ISBN:
3-031-59531-9

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