Advances in Intelligent Vehicles
- 1st Edition - December 3, 2013
- Latest edition
- Authors: Yaobin Chen, Lingxi Li
- Language: English
Advances in Intelligent Vehicles presents recent advances in intelligent vehicle technologies that enhance the safety, reliability, and performance of vehicles and vehicular… Read more
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.
- 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.
Intelligent Systems Series
Editor-in-Chief
Editorial Board Members
Preface
Chapter 1. Modeling and Control of a New Narrow Vehicle
Abstract
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
Appendix
References
Chapter 2. Testing of Intelligent Vehicles Using Virtual Environments and Staged Scenarios
Abstract
Acknowledgments
2.1 Introduction
2.2 Procedure
2.3 Virtual Sensors and Scenarios
2.4 Conclusions
References
Chapter 3. Mathematical Modeling of Connected Vehicles
Abstract
3.1 Connected Vehicle Technology
3.2 The Modeling Approach
3.3 Field Theory
3.4 Applications of Field Theory
References
Chapter 4. Guaranteed Collision Avoidance with Discrete Observations and Limited Actuation
Abstract
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
References
Chapter 5. Effect of Human Factors on Driver Behavior
Abstract
Acknowledgments
5.1 Introduction
5.2 Study Approach
5.3 Experimental Equipment
5.4 Effect of Human Factors
5.5 Objective and Subjective Evaluation
References
Chapter 6. Comparative Analysis and Modeling of Driver Behavior Characteristics
Abstract
Acknowledgments
6.1 Introduction
6.2 Study Approach
6.3 Vehicle Factors
6.4 Road Factors
6.5 Driving States
6.6 Driver Behavior Modeling
References
Chapter 7. The Human Factor and Its Handling
Abstract
7.1 Introduction to Problems
7.2 The Human Factor
7.3 Control of the Human Factor in Management and Engineering
7.4 Conclusion
References
Chapter 8. Robust Road Environment Perception for Navigation in Challenging Scenarios
Abstract
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
References
Chapter 9. V2I-Based Multi-Objective Driver Assistance System for Intersection Support
Abstract
Acknowledgments
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
References
Chapter 10. Letting Drivers Know What is Going on in Traffic
Abstract
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
References
Index
- Edition: 1
- Latest edition
- Published: December 3, 2013
- Language: English
YC
Yaobin Chen
Affiliations and expertise
Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, USALL
Lingxi Li
Affiliations and expertise
Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, USARead Advances in Intelligent Vehicles on ScienceDirect