The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

Title: A DDDAMS-based Surveillance and Crowd Control via UAVs and UGVs

Abstract:
In this talk, we first introduce a dynamic data driven adaptive multi-scale simulation (DDDAMS) based planning and control framework that we have developed for effective and efficient surveillance and crowd control via unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). The framework is composed of integrated planner, integrated controller, and decision module for DDDAMS. The integrated planner, which is designed in an agent-based simulation (ABS) and Unity-based game engine, devises best control strategies for each function of 1) crowd detection, 2) crowd tracking, and 3) UAV/UGV motion planning. The integrated controller then controls real UAVs/UGVs for surveillance tasks via 1) sensory data collection and processing, 2) control command generation based on strategies provided by the decision planner, and 3) control command transmission via radio to the real system. The decision module for DDDAMS enhances computational efficiency of the framework via dynamic switching of fidelity of simulation and information gathering. Finally, we will share the results of our field demo, which successfully integrated a fast running simulator, a real-time simulator, and the real system (viz. UAVs, UGVs, and crowd).

Bio:
Dr. Young-Jun Son is a Professor and the Head of Systems and Industrial Engineering Department at The University of Arizona. He is a Department Editor of the Institute of Industrial and Systems Engineers (IISE) Transactions, and serve on the editorial board for six other international journals. He is an IISE Fellow, and has received several research awards such as the Society of Manufacturing Engineers (SME) 2004 Outstanding Young Manufacturing Engineer Award, the IIE 2005 Outstanding Young Industrial Engineer Award, the Industrial and Systems Engineering Research Conference (ISERC) Best Track Paper Award (in 2005, 2008, 2009, 2016, 2018, 2019), and the Best Paper of the Year Award (2007) in International Journal of Industrial Engineering. His research works have been sponsored by NSF, AFOSR, USDOT, USDA, USDOE, NIST, among others. He can be reached at son@sie.arizona.edu.