000			03048cam a2200445Ii 4500
001			9780429489211
008			180727s2018 flu b ob 001 0 eng d
020			_a9780429951237 (e-book: PDF) _q(e-book : PDF)
035			_a(OCoLC)1034629579
050		4	_aTJ211.35 _b.C44 2017
072		7	_aTEC _x007000 _2bisacsh
072		7	_aTEC _x008000 _2bisacsh
072		7	_aTEC _x037000 _2bisacsh
072		7	_aTJFM1 _2bicscc
082	0	4	_a629.8/92637 _223
100	1		_aChen, Jian, _eauthor.
245	1	0	_aMulti-view geometry based visual perception and control of robotic systems / _cby Jian Chen, Bingxi Jia and Kaixiang Zhang.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press, an imprint of Taylor and Francis, _c2018.
300			_a1 online resource (360 pages)
505	0		_apart 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.
520	3		_aThis 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.
650		0	_aElectricalEngineeringnetBASE.
650		0	_aIntelligent Systems.
650		0	_aLinear control systems.
650		0	_aNeural computers.
650		0	_aRobotics.
650		0	_aSystems & Controls.
650		7	_aCRC/IHC Default Subject Code. _2bisacsh
650		7	_aTECHNOLOGY & ENGINEERING / Electronics / General. _2bisacsh
650		7	_aTECHNOLOGY & ENGINEERING / Robotics. _2bisacsh
650		0	_aCompter vision.
650		0	_aRobots _xControl systems.
700	1		_aZhang, Kaixiang, _eauthor.
700	1		_aJia, Bingxi, _eauthor.
710	2		_aTaylor and Francis.
776	0	8	_iPrint version: _z9780815365983 _w(DLC) 2018008526
856	4	0	_uhttps://www.taylorfrancis.com/books/9780429951237 _zClick here to view.
942			_2lcc _cEBK
999			_c17650 _d17650