Advances in Intelligent Vehicles

Advances in Intelligent Vehicles

1st Edition - December 2, 2013

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  • Authors: Yaobin Chen, Lingxi Li
  • Hardcover ISBN: 9780123971999
  • eBook ISBN: 9780123973276

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Advances in Intelligent Vehicles presents recent advances in intelligent vehicle technologies that enhance the safety, reliability, and performance of vehicles and vehicular networks and systems. This book provides readers with up-to-date research results and cutting-edge technologies in the area of intelligent vehicles and transportation systems. Topics covered include virtual and staged testing scenarios, collision avoidance, human factors, and modeling techniques. The Series in Intelligent Systems publishes titles that cover state-of-the-art knowledge and the latest advances in research and development in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications.

Key Features

  • Provides researchers and engineers with up-to-date research results and state-of-the art technologies in the area of intelligent vehicles and transportation systems
  • Covers hot topics, including driver assistance systems; cooperative vehicle-highway systems; collision avoidance; pedestrian protection; image, radar and lidar signal processing; and V2V and V2I communications


Electrical and Electronic Engineers; Mechanical Engineers; Computer Engineers; Intelligent Systems specialists.

Table of Contents

  • Intelligent Systems Series


    Editorial Board Members


    Chapter 1. Modeling and Control of a New Narrow Vehicle


    1.1 Introduction

    1.2 Modeling of the UW-Car

    1.3 Velocity Control Using a Sliding Mode Approach

    1.4 Stabilization of an Inverted Pendulum Cart by Consistent Trajectories in Acceleration Behavior

    1.5 Simulation Study

    1.6 Conclusion



    Chapter 2. Testing of Intelligent Vehicles Using Virtual Environments and Staged Scenarios



    2.1 Introduction

    2.2 Procedure

    2.3 Virtual Sensors and Scenarios

    2.4 Conclusions


    Chapter 3. Mathematical Modeling of Connected Vehicles


    3.1 Connected Vehicle Technology

    3.2 The Modeling Approach

    3.3 Field Theory

    3.4 Applications of Field Theory


    Chapter 4. Guaranteed Collision Avoidance with Discrete Observations and Limited Actuation


    4.1 Introduction

    4.2 Preliminaries

    4.3 Control Framework

    4.4 Collision Avoidance Analysis

    4.5 Avoiding Deadlocks

    4.6 Examples

    4.7 Conclusions


    Chapter 5. Effect of Human Factors on Driver Behavior



    5.1 Introduction

    5.2 Study Approach

    5.3 Experimental Equipment

    5.4 Effect of Human Factors

    5.5 Objective and Subjective Evaluation


    Chapter 6. Comparative Analysis and Modeling of Driver Behavior Characteristics



    6.1 Introduction

    6.2 Study Approach

    6.3 Vehicle Factors

    6.4 Road Factors

    6.5 Driving States

    6.6 Driver Behavior Modeling


    Chapter 7. The Human Factor and Its Handling


    7.1 Introduction to Problems

    7.2 The Human Factor

    7.3 Control of the Human Factor in Management and Engineering

    7.4 Conclusion


    Chapter 8. Robust Road Environment Perception for Navigation in Challenging Scenarios


    8.1 Introduction

    8.2 Use of Geometric Properties of the Road

    8.3 Drivable Road Region Detection and Tracking

    8.4 Painted Lane Boundary Detection and Tracking

    8.5 Road Correlation

    8.6 Conclusions


    Chapter 9. V2I-Based Multi-Objective Driver Assistance System for Intersection Support



    9.1 Introduction

    9.2 Structure of IDAS

    9.3 IDAS Algorithm

    9.4 Simulation of IDAS

    9.5 Real Vehicle Test

    9.6 Field Test and Results

    9.7 Conclusion and Discussion


    Chapter 10. Letting Drivers Know What is Going on in Traffic


    10.1 Introduction

    10.2 The Time Issue

    10.3 Modality Issues

    10.4 False Alarm and Driver Acceptance

    10.5 Time-Critical Factors and Automation

    10.6 Ethnic Differences

    10.7 From Warning to Information Presentation

    10.8 Conclusion



Product details

  • No. of pages: 336
  • Language: English
  • Copyright: © Academic Press 2013
  • Published: December 2, 2013
  • Imprint: Academic Press
  • Hardcover ISBN: 9780123971999
  • eBook ISBN: 9780123973276

About the Authors

Yaobin Chen

Affiliations and Expertise

Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, USA

Lingxi Li

Affiliations and Expertise

Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, USA

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