Synthesizing a NPR navigating animation based on Route Recommendation

As science and technology continue to progress, we are getting used to utilize these new information technologies for the convenience of our daily lives. For example, Google Map and Open Street Map have become very popular and important tools for viewing street maps in recent years. For the purpose of map navigations, the research field of Route Recommendation has proposed several convenient and useful tools. However, most of these results are provided on a 2D planar map. For users, it is un intuitive and difficult to imagine realistic 3D scenes by only watching these linked line segments on a 2D map. Moreover, although many online maps provide photorealistic street views, these images are usually too complicated and containing too much unnecessary information. More important, these pictures are also fixed and invariant regardless of the changes of weathers and seasons. Therefore, in this research, we propose a novel navigation system which visualizes the results of route recommendation with NPR animation effects. Furthermore, by combining NonPhotorealistic Rendering techniques with the OpenWeatherMap, our system aims to create more interesting scenery with the real-time weather effects to improve users´ navigation experience.