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Abstract. In recent years, pose measurement based on vision system has become a research focus. As pose measurement based on monocular vision is simple and stable with low cost and high calculation speed, it has been widely applied in reality. This paper summarizes the pose measurement based on monocular vision, and emphasizes on pose measurement based on characteristic points, lines and advanced geometry features, with analysing each advantages and disadvantages. Ultimately, it makes a brief analysis on the future of pose measurement based on monocular vision in order to provide references on research on pose measurement.

Purpose of this paper raise a vehicle lane departure warning system based on the machine vision. It does not need to use the parameters of the camera which do the road marking recognition system installed in the interior of the camera by algorithms. Regarding the time line of the intelligent transport system, it is to solve the various problems possibly arising from driving on the road. This system is mainly for the warning of the unexpected departure of vehicle. The method is to use the digital camera to capture continuous images and identify the vehicle moving direction by the detection of the left and right markings, as well as forecast the driving direction of the vehicle for the reference of vehicle departure warning. In this paper, the used algorithms include brightness adjustment, binarization, dilation, erosion, and edge detection image processing techniques.

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