A Lane Boundary Detection Method Based on High Dynamic Range Image
Every year many vehicle departure accidents happen due to the drivers carelessness. Lane Departure Warning System (LDWS) is a kind of system which can relieve the stress of the drivers and reduce traffic accidents. But most traffic scenes have greater dynamic range than the digital camera at present. It makes the accuracy of the system would be affected by the complicated lighting. Traditional lane detection methods always use a usual image taken by the camera to detect the lane boundary. In this paper, we will use three images with different exposure to merge a high dynamic range (HDR) image and detect the lane in the HDR image. The experimental results show that the high dynamic range image can improve the accuracy of the lane detection method. However, processing of merging HDR image is very time consuming. It makes HDR image cant be used in real-time LDWS. We proposed an improved method based on exposure fusion to reduce the computational time of the system.
Lane Detection HDR image Autonomous Vehicle Computer Vision
Fei Kou Weihai Chen Jianhua Wang Zhiwen Zhao
School of Automation Science and Electrical Engineering Beihang University Beijing 100191, China
国际会议
IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)
北京
英文
21-25
2012-07-25（万方平台首次上网日期，不代表论文的发表时间）