The Handbook of Intelligent Vehicles provides a complete coverage of the fundamentals, new technologies, and sub-areas essential to the development of intelligent vehicles. Intended for engineering practitioners, researchers, and graduate students, the book's chapters cover fundamentals, methods, algorithms and also includes how software/hardware are implemented, and demonstrates the advances along with their present challenges.

Table of Contents

• Preface
• Biography
• Acknowledgments
• List of Contributors
• 1 Introduction to Intelligent Vehicles Azim Eskandarian
• Section 1 Overview of Intelligent Vehicle Systems and Approaches Bart van Arem
• 2 A Strategic Approach to Intelligent Functions in Vehicles Bart van Arem
• 3 Sensing and Actuation in Intelligent Vehicles Angelos Amditis; Panagiotis Lytrivis; Evangelia Portouli
• 4 Situational Awareness in Intelligent Vehicles Zoltán Papp
• 5 Hierarchical, Intelligent and Automatic Controls Bart De Schutter; Jeroen Ploeg; Lakshmi Dhevi Baskar; Gerrit Naus; Henk Nijmeijer
• 6 Behavioral Adaptation and Acceptance Marieke H. Martens; Gunnar D. Jenssen
• 7 Simulation Approaches to Intelligent Vehicles Bart van Arem; Martijn van Noort; Bart Netten
• Section 2 Vehicle Longitudinal and Lateral Control Systems Azim Eskandarian
• 8 Vehicle Longitudinal Control Jihua Huang
• 9 Adaptive and Cooperative Cruise Control Fanping Bu; Ching-Yao Chan
• 10 Vehicle Lateral and Steering Control Damoon Soudbakhsh; Azim Eskandarian
• Section 3 Special Vehicular Systems Ernst Pucher, Alfred Pruckner, Ralf Stroph and Peter Pfeffer
• 11 Drive-By-Wire Alfred Pruckner; Ralf Stroph; Peter Pfeffer
• 12 Energy and Powertrain Systems in Intelligent Automobiles Ernst Pucher; Luis Cachón; Wolfgang Hable
• Section 4 Positioning, Navigation, and Trajectory Control Peter Handel
• 13 Global Navigation Satellite Systems: An Enabler for In-Vehicle Navigation John-Olof Nilsson; Dave Zachariah; Isaac Skog
• 14 Enhancing Vehicle Positioning Data Through Map-Matching Mohammed A. Quddus; Nagendra R. Velagay
• 15 Situational Awareness and Road Prediction for Trajectory Control Applications Christian Lundquist; Thomas B. Schön; Fredrik Gustafsson
• 16 Navigation and Tracking of Road-Bound Vehicles Using Map Support Fredrik Gustafsson; Umut Orguner; Thomas B. Schön; Per Skoglar; Rickard Karlsson
• 17 State-of-the-Art In-Car Navigation: An Overview Isaac Skog; Peter Händel
• 18 Evolution of in-car Navigation Systems Koichi Nagaki
• Section 5 Driver Assistance Azim Eskandarian
• 19 Fundamentals of Driver Assistance Azim Eskandarian
• 20 Driver Behavior Modeling Samer Hamdar
• 21 Using Naturalistic Driving Research to Design, Test and Evaluate Driver Assistance Systems Gregory M. Fitch; Richard J. Hanowski
• 22 Intelligent Speed Adaptation (ISA) Jeremy J. Blum; Azim Eskandarian; Stephen A. Arhin
• Section 6 Safety and Comfort Systems Werner Huber and Klaus Kompass
• 23 Safety and Comfort Systems: Introduction and Overview Klaus Kompass; Werner Huber; Thomas Helmer
• 24 Adaptive Cruise Control Hermann Winner
• 25 Forward Collision Warning and Avoidance Markus Maurer
• 26 Lane Departure and Lane Keeping Jens E. Gayko
• 27 Integral Safety Klaus Kompass; Christian Domsch; Ronald E. Kates
• 28 Lane Change Assistance Arne Bartels; Marc-Michael Meinecke; Simon Steinmeyer
• 29 Steering and Evasion Assist Thao Dang; Jens Desens; Uwe Franke; Dariu Gavrila; Lorenz Schäfers; Walter Ziegler
• 30 Proactive Pedestrian Protection Stefan Schramm; Franz Roth; Johann Stoll; Ulrich Widmann
• 31 Parking Assist Michael Seiter; Hans-Jörg Mathony; Peter Knoll
• 32 Post-crash Support Systems Jeffrey S. Augenstein; George T. Bahouth
• 33 Map Data for ADAS John Craig
• Section 7 Drowsy and Fatigued Driver Detection, Monitoring, Warning Azim Eskandarian
• 34 Advances in Drowsy Driver Assistance Systems Through Data Fusion Darrell S. Bowman; William A. Schaudt; Richard J. Hanowski
• 35 Drowsy Driver Posture, Facial, and Eye Monitoring Methods Jixu Chen; Qiang Ji
• 36 Drowsy and Fatigued Driving Problem Significance and Detection Based on Driver Control Functions Azim Eskandarian; Ali Mortazavi; Riaz Akbar Sayed
• 37 Drowsy and Fatigued Driver Warning, Counter Measures, and Assistance Riaz Akbar Sayed; Azim Eskandarian; Ali Mortazavi
• Section 8 Vision-based Systems Alberto Broggi
• 38 Image Processing for Vehicular Applications Massimo Bertozzi
• 39 Camera Technologies Paolo Grisleri
• 40 Perception Tasks: Lane Detection Luca Mazzei; Paolo Zani
• 41 Perception Tasks: Obstacle Detection Stefano Debattisti
• 42 Perception Tasks: Traffic Sign Recognition Pier Paolo Porta
• 43 Vision-Based ACC Matteo Panciroli
• 44 Vision-Based Blind Spot Monitoring Elena Cardarelli
• Section 9 Vehicular Communications Systems Scott Andrews
• 45 Vehicular Communications Requirements and Challenges Scott Andrews
• 46 Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) Communications and Cooperative Driving Scott Andrews
• 47 Probes and Intelligent Vehicles Christopher Wilson
• 48 Threat Model, Authentication, and Key Management Stan Pietrowicz
• 49 Security, Privacy, Identifications William Whyte
• Section 10 Fully Autonomous Driving Christian Laugier
• 50 Autonomous Driving: Context and State-of-the-Art Javier Ibañez-Guzmán; Christian Laugier; John-David Yoder; Sebastian Thrun
• 51 Modeling and Learning Behaviors Dizan Vasquez; Christian Laugier
• 52 Vision and IMU Data Fusion: Closed-Form Determination of the Absolute Scale, Speed, and Attitude Agostino Martinelli; Roland Siegwart
• 53 Vision-Based Topological Navigation: An Implicit Solution to Loop Closure Youcef Mezouar; Jonathan Courbon; Philippe Martinet
• 54 Awareness of Road Scene Participants for Autonomous Driving Anna Petrovskaya; Mathias Perrollaz; Luciano Oliveira; Luciano Spinello; Rudolph Triebel; Alexandros Makris; John D. Yoder; Christian Laugier; Urbano Nunes; Pierre Bessiere
• 55 Iterative Motion Planning and Safety Issue Thierry Fraichard; Thomas M. Howard
• 56 Risk Based Navigation Decisions Anne Spalanzani; Jorge Rios-Martinez; Christian Laugier; Sukhan Lee
• 57 Probabilistic Vehicle Motion Modeling and Risk Estimation Christopher Tay; Kamel Mekhnacha; Christian Laugier
• Section 11 A Look to the Future of Intelligent Vehicles Michael Parent
• 58 Legal Issues of Driver Assistance Systems and Autonomous Driving Tom Michael Gasser
• 59 Intelligent Vehicle Potential and Benefits Claude Laurgeau
• 60 Applications and Market Outlook Michel Parent