| Summary: | 碩士 === 國立虎尾科技大學 === 資訊工程研究所 === 100 === Traffic accident usually occurred is at the driver’s negligence. On the expressway, because the speed of vehicle is faster, it is easy to cause of the traffic accidents. In order to restore the situation of the traffic accident, the most direct way is to check the record screen of the camera. However, it is not that every the section of road has a camera. Therefore, people will want to install the camera on the vehicle, this camera is called event data recorder. Now, there have a lot of drivers to install the event data recorder to record traffic condition. The event data recorder has gradually become the standard equipment of the vehicle.
In recent years, due to the image processing techniques and hardware computing power advances, based on computer vision technology is applied to the research of the driving environment also significantly increment. However, in practical application, there are many difficulties to be resolved. Therefore, the related research still has a lot of space for improvement. However, the current research literature, it the focus of study in the daytime, few vehicles, and lane marking pure driving environment. In the case of more vehicles and lane marking complex driving environment, it’s the variability of driving environment will significantly increased. Therefore, the related research papers also less.
This research paper is the detection and recognition of the lane marking for major study focus. The experimental datum used of the movie of the event data recorder. First, this study will input the original image to down-sampling to reduce the processing time. Then, the road caused by the intensity of the light of grayscale value, in order to obtain the important recognition region dividing line, to reduce the interference of the complex environment. Therefore, it is by reducing the processing time of the edge detection and Otsu threshold algorithm, in order to correct recognition of lane markings of remind driver to pay attention to the transformation of the lane markings. This research will use the region of interest, edge detection, morphology, and Otsu threshold algorithm to obtain the texture features of the markings to let the computer correct recognition. In this research paper the design of algorithms, can be improve the recognition accuracy and increase the feasibility of driver assistance. The experimental results show that our proposed method can achieve good recognition accuracy of marking.
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