Room: Rm MA222, Sexton Campus, Halifax, Nova Scotia, Canada, B3J0H4

ABSTRACT3D perception, the ability to perceive depth and spatial relationships in the world, is fundamental to human cognition and holds immense potential across various sensing domains including robots and intelligent vehicles. The emergence of deep learning-based techniques offers a compellingalternative, potentially enabling 3D vision from monocular camera inputs without additional hardware <a href="http://modifications.This" target="_blank" title="modifications.This">modifications.This talk will delve into the principles and applications of traditional 3D sensing and computer vision methods. Subsequently, we will introduce predictive 3D sensing based on 2D cameras that use machine learning to generate 3D sensing, covering fundamental concepts, common architectures, and training data requirements. We will use intelligent vehicles to illustrate the predictive 3D vision concept including simultaneous localization and mapping (SLAM) and obstacle detection for <a href="http://illustrations.Speaker:" target="_blank" title="illustrations.Speaker:">illustrations.Speaker: Henry Leung, Fellow, IEEE, Professor, University of Calgary, CanadaBio:Henry Leung is the Schulich Industrial Chair Professor of the Department of Electrical and Software Engineering of the University of Calgary. Before joining the University of Calgary, he was with the Department of National Defence (DND) of Canada as a defence scientist. Hiscurrent research interests include information fusion, machine learning, IoT, data analytics, robotics, signal, and image processing. He has published more than 400 journal papers and 300 conference papers. He is an associate editor of various journals such as Scientific Reports, EEESystem, Man, Cybernetic Letters, and Journal of Sensors. He is the editor of the Springer book series on “Information Fusion and Data Science”. He is a Fellow of IEEE, SPIE, Engineering Institute of Canada (EIC), Canadian Academy of Engineering (CAE) and Royal Society of Canada (RSC).Room: Rm MA222, Sexton Campus, Halifax, Nova Scotia, Canada, B3J0H4