Xê-mi-na khoa học
28/09/2021: ThS. Nguyễn Thị Hồng Nhung (Đại học Giao thông Vận tải), Two-stage Convolutional Neural Networks for Road Crack Detection and Segmentation
Automatic detection of road cracks is an important task to support road inspection for transport infrastructure. Various methods have been proposed for road crack detection and segmentation, however, there is no established method for handling real road images that are noisy and of low quality. Inthis talk, I will present our proposed method utilizing a twostage convolutional neural network (CNN) for road crackdetection and segmentation in images at the pixel level. Extensive experiments on several datasets, including public sources and our collected dataset, have been conducted.The experimental results show that the tbeen proposed for road crack detection and
Speaker: ThS. Nguyễn Thị Hồng Nhung, Đại học Giao thông Vận tải
Time: 15:30, Tuesday, September 28, 2021
Venue: Webinar; Access code: https://bit.ly/3kEiuGM
Nhung H.T. Nguyen received the B.S. degree and the M.S. degree in Electronics and Telecommunications from Hanoi University of Technology and Science, Hanoi, Vietnam, in 2008 and 2010, respectively. She is currently pursuing the Ph.D. degree in computer science in Faculty of Engineering and Information Technology, University of Technology Sydney, Australia. She has worked as a lecturer at the University of Transport and Communications (UTC), Hanoi, Vietnam, from 2011. Her research interest includes the digital image processing, machine learning, computer science and the applications of artificial intelligent (AI) in transport. Mrs. Nguyen’s awards include a Scholarship with the University of Technology Sydney in the Ph.D. joint program with the Vietnam National University.