Driver Assistance System for Lane Departure Prevention and Collision Avoidance with Night Vision
Date Issued
2004
Date
2004
Author(s)
Wang, Chun-Che
DOI
en-US
Abstract
In Taiwan, more than 2,500 people die in the fatal traffic accidents per year, of which 53% traffic accidents happen in the nighttime. Besides, the major cause of traffic accidents is “Improper Driving” due to driver’s inattention or fatigue. For this reason, we develop a vision based driver assistance system which has capabilities of lane departure prevention and collision avoidance at night.
The objectives of this paper are to detect the lane boundaries and vehicles by use of computer vision techniques. In lane recognition, three procedures including Gaussian filter, Peak-Finding Algorithm, and Line-Segment Grouping, based on three properties, brightness, slenderness, and continuity, are used to detect land markers successfully and effectively. In vehicle recognition, taillight features are first stood out and the proposed taillight pairing algorithm is used to search vehicle candidates effectively. Besides, in this paper, we also provide an automatic method to calculate the tilt and the pan of the camera according to the position of vanishing point in the image.
The proposed system is shown to work well on highway in the nighttime. The detection rate in lane detection is nearly 95%, and vehicle recognition is higher than 87%. Besides, the computation cost of our approach is low and our system can process the image in almost real time.
Subjects
消失點
夜間
車道偵測
智慧型運輸系統
駕駛輔助系統
電腦視覺
汽車辨識
車尾燈
相機校正
Vehicle Recognition
ITS
Vanishing Point
Driver Assitance System
Night Vision
Lane Detection
SDGs
Type
thesis
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