Abstract: This research describes fundamental ways to navigate an optimal driving path within a road map image from Google. Without any usage of developed driving software and well-made test curves for a road, we seek for a path on an interesting Google Map image using basic MATLAB functions. Considering the natural driving factors of visibility and the speed limit, a proper step size is selected and a driving algorithm is established by utilizing mathematical modulus theory and Image Processing technique of color identification. The optimized driving path with the minimum angle turns at each step is sought and refined for the better smooth path. The research concludes that consideration of visibility factor is very important in the design of smooth pathways. With a corresponding USGS elevation data three dimensional terrain map is created and the virtual 3D trajectory is simulated parallel to the 2D plotting
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