[Publication] Graduate Student Jaebeom Lee(2018.05)


Graduate student Jaebeom Lee in the SRDR group (Advisor: Prof. Young Joo Lee) published a first-author paper in Sensors (Eigenfactor L1).
This paper proposes a novel machine-learning-based method to predict the vertical deflection of the Eonyang Arch Bridge around the Ulsan KTX station, which is critical information about the running stability of train vehicles.

Paper title: Long-term deflection prediction from computer vision measured data history for high-speed railway bridges
Published date: May 9, 2018