Design and Implementation of an Embedded Lane Departure Warning System

• Main Authors: Chi-Kuan Wu, 吳祈寬
• Other Authors: Ching-Han Chen
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/70850104659285994107

碩士 === 國立中央大學 === 資訊工程學系 === 105 === The lane departure warning system is one of the main driving assistance systems to prevent traffic accidents. This study designed an embedded lane departure warning system, including image pre-processing, lane mark feature analysis, and left and right lane line extract, lane offset judgment and other four main functional modules. In this paper, the feature analysis of the lane mark is used to analyze the characteristics of the decision tree to select the candidate lane mark. The candidate lane can be further detected by the minimum squared difference to obtain the linear model of the candidate lane, and then the geometric characteristic pairing method The final lane mark, and finally according to the left and right lane line to estimate the current offset, the offset exceeds the set threshold, the system is about to be offset, the system will issue a warning to remind the driver. This method is robust in the real environment of high noise road image. In this study, the system is implemented on the Raspberry Pi3 embedded platform. The experimental results show that our system has good reliability, and the average correct rate of lane detection is more than 84% and operational efficiency of up to 30 real-time requirements per second.