ASCE has honored Jiannan Cai, Ph.D., A.M.ASCE, and Hubo Cai, Ph.D., P.E., M.ASCE, with the 2023 Alfred Noble Prize for the paper “Robust Hybrid Approach of Vision-Based Tracking and Radio-Based Identification and Localization for 3D Tracking of Multiple Construction Workers,” Journal of Computing in Civil Engineering, July 2020.
The authors’ paper presents a hybrid framework that integrates multiview vision-based tracking and radio-based identification and localization for more robust 3D tracking of multiple construction workers. It offers a promising solution for the automatic acquisition of real-time location and identity information of construction workers and other resources, which is a critical prerequisite to the context-aware jobsite safety management, especially those construction tasks involving heavy equipment.
The findings in this study are the cornerstone of numerous applications for intelligent construction management. The paper also tackles the fundamental research task of 3D multi-object tracking and localization that applies to a variety of engineering fields.
Jiannan Cai is an assistant professor at the University of Texas at San Antonio; Hub Cai is a professor at Purdue University.
The Alfred Noble Prize recognizes a technical paper of exceptional merit accepted by the Committee on Publications of ASCE, AIME, ASME, IEEE, or WSE.