2021 International Conference on Sensing Technology and Applications(ICSTA 2021)
Prof. Zhi Gao

Prof. Zhi Gao


Speech title: Vision for Intelligent systems and Intelligent Systems based Vision


In this amazing AI era, a variety of intelligent systems, such as unmanned ground vehicles (UGVs), unmanned aerial vehicles (UAVs), etc, have been developed to accomplish many tasks of different complexities. For such intelligent agents, vision typically plays a critical role, which not only provides necessary information for localization, obstacle avoidance, and navigation to ensure that the agent can move quickly and safely to the designated location, but also realizes scene understanding to address specific task. In this talk, advanced techniques of these two aspects will be introduced, including bio-inspired motion estimation, localization in challenging environments, and target detection.  


Dr. GAO Zhi is Full Professor at Wuhan University leading the Unmanned System Surveying and Mapping Lab. He also serves as an associate editor of the journal Unmanned Systems. Since 2019, he has been supported by the distinguished professor program of Hubei Province and the National Young Talent Program, China. Prof. Gao received the B.Eng. and the Ph.D degrees from Wuhan University, China in 2002 and 2007 respectively. Since 2008, he joined the Interactive and Digital Media Institute, National University of Singapore (NUS), as a Research Fellow (A) and project manager. In 2014, he joined Temasek Laboratories in NUS (TL@NUS) as a Research Scientiest (A) and Principal Investigator. In Oct 2019, he joined Wuhan University as a professor. He has published more than 70 research papers on top journals and conferences, such as IJCV, IEEE T-PAMI, IEEE TIE, IEEE TGRS, IEEE T-ITS, ISPRS JPRS, Neurocomputing, IEEE TCSVT, CVPR, ECCV, ACCV, BMVC, etc. His research interests include computer vision, machine learning, remote sensing and their applications. In particular, he has strong interests in vision for intelligent systems and intelligent system based vision.