Researches on Inattentive Driving Warning and Adaptive Cruise Control Systems
Date Issued
2007
Date
2007
Author(s)
Wang, Chieh
DOI
en-US
Abstract
The objective of this study is to develop an integrated ASV (advanced safety vehicle) on-board system that combines inattentive driving warning systems (IDWS) and adaptive cruise control system (ACCS). By applying image processing technology as the data acquiring medium, this study processes the acquired data and further calculates values of different parameters for the use of IDWS and ACCS.
In chapter one we introduce the background, motivation, objectives, and structure of this study. In chapter two we address the details of research fundamentals such as data collection, camera calibration, and system configuration. Chapter three, we show the inattentive driving warning system, including lane departure warning system (LDWS) and rear-end collision warning system (RCWS) in detail. Moreover, for the LDWS and RCWS, we have off-line tests to see if these systems work. In chapter four, the concepts and theories of the adaptive cruise control system (ACCS) are defined. We have an off-line simulation for the ACCS as well. In chapter five, we have real-time experiments for the IDWS that really put our equipments on the vehicle and run the systems.
The results of off-line and real-time experiments turned to be good that for off-line systems: LDWS had 100% accuracy; RCWS 96.43%. For real-time experiments, the LDWS had a precision of 89.29% and RCWS 80%. Both off-line and real-time experiments’ results were excellent, which is saying that the system developed in this study is a robust system.
Subjects
先進安全車輛
車道偏離
追撞
適應性控制
類神經網路
模糊邏輯
ASV
lane departure
rear-end collision
adaptive control
neural networks
fuzzy logic
Type
thesis