학술논문
An Edge Computing System for Estimating Road Surface Condition on Winter Expressway
Document Type
Conference
Author
Source
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) Consumer Electronics (GCCE), 2021 IEEE 10th Global Conference on. :71-72 Oct, 2021
Subject
Language
Abstract
This paper proposes an edge computing system for estimation of road surface condition on winter expressway by utilizing in-vehicle camera images. In the field of transportation engineering, the realization of image processing-based methods for road scene analysis has been expected. Therefore, many images obtained by in-vehicle cameras are accumulated in various organizations of transportation engineering. However, since analyzing these accumulated images requires too much time and huge-sized computer, immediate analysis is difficult. Thus, this paper constructs an edge computing system that realizes immediate analysis of road surface condition by utilizing images obtained from in-vehicle camera. The proposed system is constructed on a small-sized computer. Also, an algorithm installed on this system estimates winter road surface condition via Mobile Nets using in-vehicle camera images.