An Estimation Method of Visibility Level Based on Low Rank Matrix Completion Using GPV Data
Gen Ohkama, Sho Takahashi, Toru Hagiwara · 2020
This paper proposes a method for estimation of visibility level based on low rank matrix completion using GPV data. On snowy day, driving task can be hard because of poor visibility. By presenting visibility information to drivers and road manager, it will lead to safer traffic. To estimate visibility, weather data, which is significantly related to visibility, are used in the proposed method. In the proposed method, Grid point value (GPV) data and visibility data including missing values on unobserved points are arranged to matrix. The missing values are estimated based on low rank matrix completion. Experimental results show the effectiveness of our method.