Bayesian Network-based Distress Estimation Using Image Features in Road Structure Assessment

被引：0

作者：

Maeda, Keisuke ^{[1
]}

Takahashi, Sho ^{[2
]}

Ogawa, Takahiro ^{[2
]}

Haseyama, Miki ^{[2
]}

机构：

[1] Hokkaido Univ, Sch Engn, Kita Ku, N-13,W-8, Sapporo, Hokkaido 0608628, Japan

[2] Hokkaido Univ, Grad Sch Informat Sci & Technol, Kita Ku, N-14,W-9, Sapporo, Hokkaido 0600814, Japan

来源：

2014 IEEE 3RD GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE) | 2014年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a Bayesian network-based method for estimating a distress of road structures from inspection data. The distress is represented by a damage of road structures and its degree. In the previous work, the distress was estimated by utilizing Bayesian network based on categories of road structures, details of road structures and damaged parts. However, inspection data include not only the above items but also images of the distress. Therefore, by introducing the use of the images to the previous work, improvement of the distress estimation accuracy can be expected. The proposed method calculates Bayesian network from inspection items and their corresponding images to perform the distress estimation. Experimental results show the effectiveness of the proposed method.

引用

页码：169 / 170

页数：2

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