A deep learning technique-based automatic monitoring method for experimental urban road inundation

Reports indicate that high-cost, insecurity, and difficulty in complex environments hinder the traditional urban road inundation monitoring approach. This work proposed an automatic monitoring method for experimental urban road inundation based on the YOLOv2 deep learning framework. The proposed met...

Full description

Bibliographic Details

Main Authors:	Hao Han, Jingming Hou, Ganggang Bai, Bingyao Li, Tian Wang, Xuan Li, Xujun Gao, Feng Su, Zhaofeng Wang, Qiuhua Liang, Jiahui Gong
Format:	Default Article
Published:	2021
Subjects:	Environmental Engineering Civil Engineering YOLOv2 model inundation area experimental urban road inundation deep learning technique
Online Access:	https://hdl.handle.net/2134/16681963.v1
Tags:	Add Tag No Tags, Be the first to tag this record!