Intelligent Vehicle Technologies

Opis

'Intelligent Vehicle Technologies' covers the growing field of intelligent technologies, from intelligent control systems to intelligent sensors. Systems such as in-car navigation devices and cruise control are already being introduced into modern vehicles, but manufacturers are now racing to develop systems such as 'smart' cruise control, on-vehicle driver information systems, collision avoidance systems, vision enhancement and roadworthiness diagnostics systems.

aimed specifically at the automotive industry
packed with practical examples and applications
in-depth treatment written in a text book style (rather than a theoretical specialist text style)

Spis treści

Front Cover 2
Intelligent Vehicle Technologies: Theory and Application 5
Copyright Page 6
Contents 7
Preface 15
Acknowledgements 19
List of Contributors 21
Part One: Introduction 23
- Chapter 1. The car of the future 25
  - 1.1 Such a wonderful product... 25
  - 1.2 Difficulties now and ahead 26
  - 1.3 Emerging technologies 35
- Part Two: Intelligent vehicle sensor technologies 41
  - Chapter 2. The CAN bus 43
    - 2.1 Introduction 43

Front Cover 2
Intelligent Vehicle Technologies: Theory and Application 5
Copyright Page 6
Contents 7
Preface 15
Acknowledgements 19
List of Contributors 21
Part One: Introduction 23
- Chapter 1. The car of the future 25
  - 1.1 Such a wonderful product... 25
  - 1.2 Difficulties now and ahead 26
  - 1.3 Emerging technologies 35
- Part Two: Intelligent vehicle sensor technologies 41
  - Chapter 2. The CAN bus 43
    - 2.1 Introduction 43
    - 2.2 Functional concepts 48
    - 2.3 Hierarchical organization 53
    - 2.4 Implementations 74
    - 2.5 CAN applications 77
    - 2.6 CAN-related standards 82
    - 2.7 The future of CAN 84
    - References 86
  - Chapter 3. Microcontrollers and micro-electronic technology 87
    - 3.1 Introduction 87
    - 3.2 Microcontrollers – an embedded microcomputer 87
    - 3.3 Microprocessor or microcontroller? 91
    - 3.4 Product design using a microcontroller 92
    - 3.5 Microtechnology 93
    - References 107
    - 3.6 Conclusion 107
  - Chapter 4. Vehicle optical sensor 109
    - 4.1 Introduction 109
    - 4.2 Laser radar 109
    - 4.3 Non-contact ground velocity detecting sensor 112
    - 4.4 Road surface recognition sensor 118
    - 4.5 Vehicle sensors for ETC systems 125
    - References 133
    - 4.6 Conclusion 133
  - Chapter 5. Towards intelligent automotive vision systems 135
    - 5.1 Introduction and motivation 135
    - 5.2 Applications of vision in driver assistance systems 138
    - 5.3 Operating principles 140
    - 5.4 Applications and results 144
    - 5.5 Conclusions 149
    - References 150
    - Acknowledgements 150
  - Chapter 6. From door to door – principles and applications of computer vision for driver assistant systems 153
    - 6.1 Introduction 153
    - 6.2 Driver assistance on highways 156
    - 6.3 Driver assistance in urban traffic 169
    - 6.4 Object recognition as a classification problem 183
    - 6.5 Building intelligent systems 199
    - 6.6 Summary 207
    - References 208
  - Chapter 7. Radio communication technologies for vehicle information systems 211
    - 7.1 Introduction 211
    - 7.2 ITS communication systems 218
    - 7.3 Vehicle–vehicle and road-vehicle communication systems 228
    - 7.4 Device technologies 241
    - References 249
  - Chapter 8. Global positioning technology in the intelligent transportation space 251
    - 8.1 History of GPS 251
    - 8.2 The NAVSTAR GPS system 253
    - 8.3 Fundamentals of satellite-based positioning 256
    - 8.4 GPS receiver technology 264
    - 8.5 Applications for GPS technology 271
    - 8.6 Conclusion 276
    - Further reading 276
  - Part Three: Intelligent vehicle decision and control technologies 279
    - Chapter 9. Adaptive control system techniques 281
      - 9.1 Automatic control of highway traffic and moving vehicles 281
      - 9.2 Adaptive control of highway traffic and moving vehicles 284
      - 9.3 Conventional control schemes 285
      - 9.4 Adaptive control – an overview 286
      - 9.5 System models for adaptive control 289
      - 9.6 Design of self-tuning controllers 293
      - References 306
      - 9.7 Concluding remarks 306
    - Chapter 10. Fuzzy control 311
      - 10.1 Introduction 311
      - 10.2 Fuzzy control systems – theoretical background 316
      - 10.4 Fuzzy control of distance and tracking 329
      - 10.3 Fuzzy control systems – design steps 329
      - 10.5 Conclusion 347
      - 10.6 Abbreviations 348
      - References 349
    - Chapter 11. Decisional architectures for motion autonomy 355
      - 11.1 Introduction 355
      - 11.2 Robot control architectures and motion autonomy 356
      - 11.3 Sharp control and decisional architecture for autonomous vehicles 370
      - 11.4 Experimental results 382
      - 11.5 Motion planning for car-like vehicles 386
      - References 408
    - Chapter 12. Brake modelling and control 415
      - 12.1 Brake modelling 415
      - 12.2 Brake control 434
      - 12.3 Conclusions 443
      - References 444
    - Chapter 13. ACC systems – overview and examples 445
      - 13.1 ACC overview 445
      - 13.2 Systems based on ACC 450
      - 13.3 Impact of ACC on traffic and drivers 455
      - References 462
    - Part Four: Case study 465
      - Chapter 14. ARGO prototype vehicle 467
        
        14.1 Introduction: the ARGO project 467
        
        14.2 The GOLD system 468
        
        14.3 The ARGO prototype vehicle 490
        
        14.4 The MilleMiglia in Automatico test 499
        
        References 515
      - Index 517

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Afiljacja autora

Ljubo Vlacic: Griffith University, Brisbane, Australia
M. Parent: INRIA, France

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