000			08115cam a22006618i 4500
001			on1284917827
003			OCoLC
005			20220711203735.0
006			m o d
007			cr |||||||||||
008			211028s2022 nju ob 001 0 eng
010			_a 2021047514
040			_aDLC _beng _erda _cDLC _dIEEEE _dDG1 _dOCLCO
019			_a1284918801
020			_a9781119747970 _q(electronic bk. : oBook)
020			_a111974797X _q(electronic bk. : oBook)
020			_a9781119747963 _q(epub)
020			_a1119747961 _q(epub)
020			_a9781119747956 _q(adobe pdf)
020			_a1119747953 _q(adobe pdf)
020			_a9781119747970 _q(electronic bk.)
020			_a111974797X _q(electronic bk.)
020			_z9781119747949 _q(cloth)
024	7		_a10.1002/9781119747970 _2doi
029	1		_aAU@ _b000070154825
035			_a(OCoLC)1284917827 _z(OCoLC)1284918801
037			_a9645932 _bIEEE
042			_apcc
050	0	0	_aTL152.8
082	0	0	_a629.04/6 _223
049			_aMAIN
100	1		_aGüvenç, Levent, _eauthor. _910450
245	1	0	_aAutonomous road vehicle path planning and tracking control / _cLevent Güvenç, Bilin Aksun-Güvenç, Sheng Zhu, Şükrü Yaren Gelbal.
263			_a2112
264		1	_aHoboken, New Jersey : _bWiley-IEEE Press, _c[2022]
264		4	_c©2022
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_aComprehensive explorations of vehicle, path, and path tracking models, model-in-the-loop simulation models, and hardware-in-the-loop models. In-depth examinations of collision free path planning and collision avoidance. Perfect for advanced undergraduate and graduate students with an interest in autonomous vehicles, Autonomous Road Vehicle Path Planning and Tracking Control is also an indispensable reference for practicing engineers working in autonomous driving technologies and the mobility groups and sections of automotive OEMs"-- _cProvided by publisher.
588			_aDescription based on print version record and CIP data provided by publisher; resource not viewed.
505	0		_aAuthor biographies -- Preface -- Abbreviations -- Chapter 1. Introduction 1 -- 1.1 Motivation and Introduction 1 -- 1.2 History of Automated Driving 4 -- 1.3 ADAS to Autonomous Driving 13 -- 1.4 Autonomous Driving Architectures 14 -- 1.5 Cybersecurity Considerations 15 -- 1.6 Organization and Scope of the Book 16 -- 1.7 Chapter Summary and Concluding Remarks 16 -- References 16 -- Chapter 2. Vehicle, Path and Path Tracking Models 21 -- 2.1 Tire Force Model 21 -- 2.1.1 Introduction 21 -- 2.1.2 Tire forces/moments and slip 22 -- 2.1.3 Longitudinal tire force modeling 25 -- 2.1.4 Lateral tire force modeling 28 -- 2.1.5 Self-aligning moment model 30 -- 2.1.6 Coupling of tire forces 32 -- 2.2 Vehicle longitudinal dynamics model 37 -- 2.3 Vehicle Lateral Dynamics Model 41 -- 2.3.1 Geometry of cornering 41 -- 2.3.2 Single track lateral vehicle model 43 -- 2.3.3 Augmented single track lateral vehicle model 47 -- 2.3.4 Linearized single track lateral vehicle model 48 -- 2.4 Path Model 52 -- 2.5 Pure Pursuit: Geometry Based Low Speed Path Tracking 58 -- 2.6 Stanley Method for Path Tracking 59 -- 2.7 Path Tracking in Reverse Driving and Parking 62 -- 2.8 Chapter Summary and Concluding Remarks 63 -- References 63 -- Chapter 3. Simulation, Experimentation and Estimation Overview 65 -- 3.1 Introduction to the Simulation Based Development and Evaluation Process 65 -- 3.2 Model-in-the-Loop Simulation 68 -- 3.2.1 Linear and Nonlinear Vehicle Simulation Models 68 -- 3.2.2 Higher Fidelity Vehicle Simulation Models 69 -- 3.3 Virtual Environments Used in Simulation 71 -- 3.3.1 Road Network Creation 71 -- 3.3.2 Driving Environment Construction 73 -- 3.3.3 Capabilities 77 -- 3.4 Hardware-in-the-Loop Simulation 82 -- 3.5 Experimental Vehicle Testbeds 84 -- 3.5.1 Unified Approach 84 -- 3.5.2 Unified AV Functions and Sensors Library 87 -- 3.6 Estimation 88 -- 3.6.1 Estimation of the Effective Tire Radius 88 -- 3.6.2 Slip Slope Method for Road Friction Coefficient Estimation 89 -- 3.6.3 Results and Discussion 92 -- 3.7 Chapter Summary and Concluding Remarks 97 -- References 97 -- Chapter 4. Path Description and Generation 100 -- 4.1 Introduction 100 -- 4.2 Discrete Waypoint Representation 100 -- 4.3 Parametric Path Description 103 -- 4.3.1 Clothoids 104 -- 4.3.2 Bezier Curves 107 -- 4.3.3 Polynomial Spline Description 108 -- 4.4 Tracking Error Calculation 113 -- 4.5 Conclusions 114 -- References 115 -- Chapter 5. Collision Free Path Planning 117 -- 5.1 Introduction 117 -- 5.2 Elastic Band Method 121 -- 5.2.1 Path Structure 121 -- 5.2.2 Calculation of Forces 121 -- 5.2.3 Reaching Equilibrium Point 124 -- 5.2.4 Selected Scenarios 125 -- 5.2.5 Results 127 -- 5.3 Path Planning with Minimum Curvature Variation 135 -- 5.3.1 Optimization based on G2-quintic Splines Path Description 135 -- 5.3.2 Reduction of Computation Cost using Lookup Tables 138 -- 5.3.3 Geometry-based Collision-free Target Points Generation 142 -- 5.3.4 Simulation Results 145 -- 5.4 Model-based Trajectory Planning 148 -- 5.4.1 Problem Formulation 148 -- 5.4.2 Parameterized Vehicle Control 149 -- 5.4.3 Constrained Optimization on Curvature Control 150 -- 5.4.4 Sampling of the Longitudinal Movements 155 -- 5.4.5 Trajectory Evaluation and Selection 157 -- 5.4.6 Integration of Road Friction Coefficient Estimation for Safety Enhancement 159 -- 5.4.7 Simulation Results in Complex Scenarios 162 -- 5.5 Chapter Summary and Concluding Remarks 169 -- References 170 -- Chapter 6. Path Tracking Model Regulation 174 -- 6.1 Introduction 174 -- 6.2 DOB Design and Frequency Response Analysis 175 -- 6.2.1 DOB Derivation and Loop Structure 175 -- 6.2.2 Application Examples 178 -- 6.2.3 Disturbance Rejection Comparison 188 -- 6.3 Q Filter Design 188 -- 6.4 Time Delay Performance 189 -- 6.5 Chapter Summary and Concluding Remarks 193 -- References 193 -- Chapter 7. Robust Path Tracking Control 195 -- 7.1 Model Predictive Control for Path Following 196 -- 7.1.1 Formulation of linear adaptive MPC problem 196 -- 7.1.2 Estimation of Lateral Velocity 198 -- 7.1.3 Experimental Results 201 -- 7.2 Design Methodology for Robust Gain-scheduling Law 204 -- 7.2.1 Problem Formulation 204 -- 7.2.2 Design via Optimization in Linear Matrix Inequalities form 205 -- 7.2.3 Parameter-space Gain-scheduling Methodology 207 -- 7.3 Robust Gain-scheduling Application to Path Tracking Control 213 -- 7.3.1 Car Steering Model and Parameter Uncertainty 213 -- 7.3.2 Controller Structure and Design Parameters 215 -- 7.3.3 Application of Parameter-space Gain-scheduling 217 -- 7.3.4 Comparative Study of LMI Design 222 -- 7.3.5 Experimental Results and Discussions 223 -- 7.4 Add-on Vehicle Stability Control for Autonomous Driving 227 -- 7.4.1 Direct Yaw Moment Control Strategies 228 -- 7.4.2 Direct Yaw Moment Distribution via Differential Braking 234 -- 7.4.3 Simulation Results and Discussion 235 -- 7.5 Chapter Summary and Concluding Remarks 238 -- References 238 -- Chapter 8. Summary and Conclusions 242 -- 8.1 Summary 242 -- 8.2 Conclusions 244.
590			_bWiley Frontlist Obook All English 2021
650		0	_aAutomated vehicles _xDesign and construction. _910451
650		0	_aAutomated vehicles _xCollision avoidance systems. _910452
650		0	_aMathematical optimization _xIndustrial applications. _910453
655		4	_aElectronic books. _93294
700	1		_aAksun-Güvenç, Bilin, _eauthor. _910454
700	1		_aZhu, Sheng _c(Mechanical engineer), _eauthor. _910455
700	1		_aGelbal, Şükrü Yaren, _eauthor. _910456
710	2		_aJohn Wiley & Sons, _epublisher. _96902
776	0	8	_iPrint version: _aGüvenç, Levent. _tAutonomous road vehicle path planning and tracking control _dHoboken, New Jersey : Wiley-IEEE Press, [2022] _z9781119747949 _w(DLC) 2021047513
856	4	0	_uhttps://doi.org/10.1002/9781119747970 _zWiley Online Library
942			_cEBK
994			_a92 _bDG1
999			_c69714 _d69714