๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Advanced Motion Control and Sensing for Intelligent Vehicles

โœ Scribed by Li Li, Fei-Yue Wang


Publisher
Springer
Year
2007
Tongue
English
Leaves
458
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Advanced Motion Control and Sensing for Intelligent Vehicles provides the latest information in intelligent vehicle control, sensing, and intelligent transportation. It addresses the growing need for safe, comfortable, time and energy-efficient modes of transportation with emphasis on the latest key findings, current trends, and likely future developments in this rapidly expanding field.

Highlights:

  • Discusses individual vehicle dynamics, sensory and multiple ground-vehicle interactions
  • Includes systematic review of past and current research achievements
  • Presents case studies in cutting-edge directions such as vehicle steering motion, vehicle vision systems, cooperative driving, intersection safety, and tire pressure monitoring
  • Assesses the likely future developments of this field

ย 

This book is useful for both practicing engineers and researchers in the automotive industry.

โœฆ Table of Contents


Table of Contents......Page 5
Preface......Page 9
1.1 Intelligent Vehicles for Intelligent Transportation Systems
......Page 12
1.2 Issues in Intelligent Vehicles Research and Development
......Page 16
1.3 Book Organization......Page 20
1.4 Beyond Current Discussion......Page 24
1.5 References......Page 30
2.1 Introduction......Page 43
2.2.1 Longitudinal Tire/Road Friction Characteristics......Page 45
2.2.2 Representative Longitudinal Tire/Road Friction IVIodels......Page 47
2.3.1 Lateral Tire/Road Friction Models......Page 56
2.3.2 Bicycle Model......Page 59
2.4.1 Integrated Tire/Road Friction Characteristics......Page 63
2.4.2 Empirical and Semi-Empirical Integrated Models......Page 65
2.4.3 Analytical Integrated Models......Page 66
2.5.1 Scheme for Tire/Road Friction {Monitors......Page 68
2.5.2 Identification of Empirical Longitudinal Friction Models......Page 70
2.6 Summary......Page 77
2.7 Reference......Page 78
3.1 Introduction......Page 87
3.2 Steer-By-Wire Systems......Page 88
3.3 Vehicle Lateral Motion Modeling and Control Strategies
......Page 94
3.4 Vehicle Lateral Motion Monitors......Page 96
3.5.1 Vehicle Lateral Motion Control Objectives......Page 103
3.5.2 Robust Vehicle Steering Controllers......Page 104
3.5.3 Sliding Mode Steering Controllers......Page 123
3.6 Summary......Page 130
3.7 Reference......Page 131
4.1 Introduction......Page 145
4.2.1 Advanced Engine Control......Page 147
4.2.2 Advanced Vehicle Transmission Control......Page 157
4.3 Vehicle Aerodynamics......Page 161
4.4 Advanced Vehicle Tracking and Braking Control......Page 163
4.4.1 Advanced Vehicle Tracking and Braking Control......Page 164
4.4.2 Anti-Lock Braking System Design......Page 172
4.5 Adaptive Cruise Control......Page 180
4.6 Summary......Page 183
4.7 Reference......Page 184
5.1 Introduction......Page 195
5.2 Road Roughness Modeling......Page 197
5.3.1 LTI Suspension Controllers......Page 200
5.3.2 Robust Suspension Controllers......Page 207
5.3.3 Fuzzy Suspension Controllers......Page 210
5.4 Parameter Estimation and Fault Detection of Suspension Systems......Page 215
5.5 Rollover Avoidance......Page 223
5.7 References......Page 226
6.1 Introduction......Page 233
6.2 Vehicle Path/Trajectory Planning......Page 236
6.3 Vehicle Parking Problems......Page 251
6.4 Longitudinal/LateralA/ertical Vehicle Motion Control......Page 263
6.5 Reference......Page 272
7.1 Introduction......Page 279
7.2 Inter-Vehicle Communication......Page 280
7.3 Vehicle Platoon Control......Page 282
7.4.1 Vehicle Lane Changing Control......Page 287
7.4.2 Vehicle Lane Merging Control......Page 299
7.5.1 Uncooperative Driving at Intersections......Page 304
7.5.2 Cooperative Driving at Intersections......Page 308
7.6 Summary......Page 320
7.7 Reference......Page 322
8,1 Introduction......Page 333
8.2.1 Lane/Road Detection Using CMOS/CCD Camera/Radars......Page 335
8.2.2 Lane/Road Detection Using LiDAR and Laser Sensors......Page 346
8.2.3 Integration of Lane/Departure Detection and Localization......Page 350
8.3.1 Vehicle Detection Using CMOS/CCD Cameras......Page 351
8.3.2 Vehicle Detection Using FMCW Radars......Page 360
8.3.3 Vehicle Detection Using LiDAR or Laser Sensors......Page 367
8.4.1 Pedestrian Detection Using CCD/CIVIOS Cameras......Page 368
8.4.2 Pedestrian Detection Using Infrared Cameras......Page 372
8.5 Advances in Vision Based Traffic Sign Detection......Page 373
8.6 Advances in Vision Based Driver Monitors......Page 376
8.6.1 Driver/Passenger Position/Gesture Detection......Page 377
8.6.2 Driver Fatigue Analysis......Page 379
8.6.3 Driving Actions Analysis......Page 380
8.7.1 Multiple Vision Sensor Fusion......Page 381
8.7.2 Vision Sharing......Page 382
8.7.3 Traffic Infrastructures and Vehicle Vision Systems......Page 384
8.7.4 Vision Sensor Design, Calibration and Fault Detection......Page 385
8.7.5 Vision Based Environment Detection and Adoption......Page 387
8.8 Reference......Page 388
9.1 Introduction......Page 410
9.2.1 Tire Surface Inspection......Page 412
9.2.2 Tire Ply/Belt Inspection......Page 414
9.2.3 Tire Bearing Inspection......Page 416
9.3 Advances in Online Tire Monitoring......Page 419
9.3.1 SAW Tire Sensors......Page 420
9.3.2 Tire Rolling/Rotation Analysis and Pressure Monitoring......Page 431
9.3.3 Other Tire Deformation/Pressure Monitoring Sensors......Page 434
9.4 Further Discussions......Page 436
9.5 Reference......Page 438


๐Ÿ“œ SIMILAR VOLUMES


Advanced Motion Control and Sensing for
โœ Li Li, Fei-Yue Wang ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

<P>This book provides the latest information in intelligent vehicle control and intelligent transportation. Detailed discussions of vehicle dynamics and ground-vehicle interactions are provided for the modeling, simulation and control of vehicles. It includes an extensive review of past and current

Advanced Motion Control and Sensing for
โœ Dr. Li Li, Dr. Fei-Yue Wang (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer US ๐ŸŒ English

<p><P><STRONG>Advanced Motion Control and Sensing for Intelligent Vehicles</STRONG> provides the latest information in intelligent vehicle control, sensing, and intelligent transportation. It addresses the growing need for safe, comfortable, time and energy-efficient modes of transportation with emp

Robust Environmental Perception and Reli
โœ Huihui Pan, Jue Wang, Xinghu Yu, Weichao Sun, Huijun Gao ๐Ÿ“‚ Library ๐Ÿ“… 2023 ๐Ÿ› Springer ๐ŸŒ English

<span>This book presents the most recent state-of-the-art algorithms on robust environmental perception and reliability control for intelligent vehicle systems. By integrating object detection, semantic segmentation, trajectory prediction, multi-object tracking, multi-sensor fusion, and reliability

Sensing and Control for Autonomous Vehic
โœ Fossen, Thor I.;Nijmeijer, Henk;Pettersen, Kristin Y ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Springer International Publishing ๐ŸŒ English

This edited volume includes thoroughly collected on sensing and control for autonomous vehicles. Guidance, navigation and motion control systems for autonomous vehicles are increasingly important in land-based, marine and aerial operations. Autonomous underwater vehicles may be used for pipeline ins

Sensing and Control for Autonomous Vehic
โœ Thor I. Fossen, Kristin Y. Pettersen, Henk Nijmeijer (eds.) ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Springer International Publishing ๐ŸŒ English

This edited volume includes thoroughly collected on sensing and control for autonomous vehicles. <br>Guidance, navigation and motion control systems for autonomous vehicles are increasingly important in land-based, marine and aerial operations. Autonomous underwater vehicles may be used for pipeline

Decision Making, Planning, and Control S
โœ Haotian Cao, Mingjun Li, Song Zhao, Xiaolin Song ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› Springer ๐ŸŒ English

<p><span>The intelligent vehicle will play a crucial and essential role in the development of the future intelligent transportation system, which is developing toward the connected driving environment, ultimate driving safety, and comforts, as well as green efficiency. While the decision making, pla