A lane boundary detection method based on high dynamic range image

Every year many vehicle departure accidents happen due to the driver's 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 can't be used in real-time LDWS. We proposed an improved method based on exposure fusion to reduce the computational time of the system.