TY  - BOOK
AU  - Chen,Jian
AU  - Zhang,Kaixiang
AU  - Jia,Bingxi
ED  - Taylor and Francis.
TI  - Multi-view geometry based visual perception and control of robotic systems
SN  - 9780429951237 (e-book: PDF)
AV  - TJ211.35 .C44 2017
U1  - 629.8/92637 23
PY  - 2018///
CY  - Boca Raton, FL
PB  - CRC Press, an imprint of Taylor and Francis
KW  - ElectricalEngineeringnetBASE
KW  - Intelligent Systems
KW  - Linear control systems
KW  - Neural computers
KW  - Robotics
KW  - Systems & Controls
KW  - CRC/IHC Default Subject Code
KW  - bisacsh
KW  - TECHNOLOGY & ENGINEERING / Electronics / General
KW  - TECHNOLOGY & ENGINEERING / Robotics
KW  - Compter vision
KW  - Robots
KW  - Control systems
N1  - part PART I: FOUNDATIONS -- chapter 1 Robotics -- chapter 2 Multiple-View Geometry -- chapter 3 Vision-Based Robotic Systems -- part PART II: VISUAL PERCEPTION OF ROBOTICS -- chapter 4 Introduction to Visual Perception -- chapter 5 Road Scene 3D Reconstruction -- chapter 6 Recursive Road Detection with Shadows -- chapter 7 Range Identification of Moving Objects -- chapter 8 Motion Estimation of Moving Objects -- part PART III: VISUAL CONTROL OF ROBOTICS -- chapter 9 Introduction to Visual Control -- chapter 10 Visual Tracking Control of General Robotic Systems -- chapter 11 Robust Moving Object Tracking Control -- chapter 12 Visual Control with Field-of-View Constraints -- chapter 13 Visual Control of Mobile Robots -- chapter 14 Trifocal Tensor Based Visual Control of Mobile Robots -- chapter 15 Unified Visual Control of Mobile Robots with Euclidean Reconstruction
N2  - This book describes visual perception and control methods for robotic systems that need to interact with the environment. Multiple view geometry is utilized to extract low-dimensional geometric information from abundant and high-dimensional image information, making it convenient to develop general solutions for robot perception and control tasks. In this book, multiple view geometry is used for geometric modeling and scaled pose estimation. Then Lyapunov methods are applied to design stabilizing control laws in the presence of model uncertainties and multiple constraints
UR  - https://www.taylorfrancis.com/books/9780429951237
ER  -