Associate Professor, Guoquan (Paul) Haung, alongside his two students, Xingxing Zuo and Nathaniel Merril, were awarded as finalists for Best Paper Award in Robot Vision as part of the IEEE International Conference on Robotics and Automation. The conference was held in Xi’an, China May 31 through June 4, 2021. 

Their paper discusses the development of a lightweight, tightly-coupled deep depth network and visual-inertial odometry (VIO) system. The VIO system provides accurate real-time 3D motion tracking and a dense map of the environment. This approach enables high-speed autonomous navigation and mobile perception with a single camera and inertial sensor.

Out of 4056 entries, they were one of 4 papers selected as a finalist, a tremendous accomplishment on their behalf.