Graduate Student wins 1st place at the 2020 NCDOT Research and Innovation Summit

INES PhD student, Tarini Shukla, received 1st place in the 2020 NCDOT Research and Innovation Summit student poster competition. The poster reports part of the work from NCDOT DeepHyd project “A Deep Learning-based Artificial Intelligence Approach for the Automated Classificationof Hydraulic Structures from LiDAR and Sonar Data”

Co-authors: Craig Allan, Wenwu Tang, Shenen Chen, John Diemer, Tianyang Chen, Navanit Sri Shanmugam, Vidya Subhash Chavan, and Matthew S. Lauffer

20_Bathymetric Surveys of Hydraulic Structures Using Unmanned Aerial Systems and Sonar