BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Halifax BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0400 TZOFFSETTO:-0300 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:ADT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0300 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:AST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260329T133459Z UID:EC28F270-93AD-47C5-BB21-0007096E821D DTSTART;TZID=America/Halifax:20260407T170000 DTEND;TZID=America/Halifax:20260407T190000 DESCRIPTION:ABSTRACT\n\n3D perception\, the ability to perceive depth and s patial relationships in the world\, is fundamental to human cognition and holds immense potential across various sensing domains including robots an d intelligent vehicles. The emergence of deep learning-based techniques of fers a compelling\nalternative\, potentially enabling 3D vision from monoc ular camera inputs without additional hardware modifications.\nThis talk w ill delve into the principles and applications of traditional 3D sensing a nd computer vision methods. Subsequently\, we will introduce predictive 3D sensing based on 2D cameras that use machine learning to generate 3D sens ing\, covering fundamental concepts\, common architectures\, and training data requirements. We will use intelligent vehicles to illustrate the pred ictive 3D vision concept including simultaneous localization and mapping ( SLAM) and obstacle detection for illustrations.\n\nSpeaker: Henry Leung\, Fellow\, IEEE\, Professor\, University of Calgary\, Canada\n\nBio:\nHenry Leung is the Schulich Industrial Chair Professor of the Department of Elec trical and Software Engineering of the University of Calgary. Before joini ng the University of Calgary\, he was with the Department of National Defe nce (DND) of Canada as a defence scientist. His\ncurrent research interest s include information fusion\, machine learning\, IoT\, data analytics\, r obotics\, signal\, and image processing. He has published more than 400 jo urnal papers and 300 conference papers. He is an associate editor of vario us journals such as Scientific Reports\, EEE\nSystem\, Man\, Cybernetic Le tters\, and Journal of Sensors. He is the editor of the Springer book seri es on “Information Fusion and Data Science”. He is a Fellow of IEEE\, SPIE\, Engineering Institute of Canada (EIC)\, Canadian Academy of Enginee ring (CAE) and Royal Society of Canada (RSC).\n\nRoom: Rm MA222\, Sexton C ampus\, Halifax\, Nova Scotia\, Canada\, B3J0H4 LOCATION:Room: Rm MA222\, Sexton Campus\, Halifax\, Nova Scotia\, Canada\, B3J0H4 ORGANIZER:muhammad.u.asad@ieee.org SEQUENCE:17 SUMMARY:Predictive 3D Vision with Applications to Intelligent Vehicle Syste ms URL;VALUE=URI:https://events.vtools.ieee.org/m/551489 X-ALT-DESC:Description: <br /><p style="text-align: justify\;"><strong>ABST RACT</strong></p>\n<p style="text-align: justify\;">3D perception\, the ab ility to perceive depth and spatial relationships in the world\, is fundam ental to human cognition and holds immense potential across various sensin g domains including robots and intelligent vehicles. The emergence of deep learning-based techniques offers a compelling<br>alternative\, potentiall y enabling 3D vision from monocular camera inputs without additional&nbsp\ ;hardware modifications.<br>This talk will delve into the principles and a pplications of traditional 3D sensing and computer&nbsp\;vision methods. S ubsequently\, we will introduce predictive 3D sensing based on 2D cameras that&nbsp\;use machine learning to generate 3D sensing\, covering fundamen tal concepts\, common architectures\,&nbsp\;and training data requirements . We will use intelligent vehicles to illustrate the predictive 3D vision& nbsp\;concept including simultaneous localization and mapping (SLAM) and o bstacle detection for&nbsp\;illustrations.</p>\n<p style="text-align: cent er\;"><strong>Speaker: Henry Leung\, Fellow\, IEEE\, Professor\, Universit y of Calgary\, Canada</strong></p>\n<p style="text-align: justify\;">Bio:< br>Henry Leung is the Schulich Industrial Chair Professor of the Departmen t of Electrical and Software Engineering of the University of Calgary. Bef ore joining the University of Calgary\, he&nbsp\;was with the Department o f National Defence (DND) of Canada as a defence scientist. His<br>current research interests include information fusion\, machine learning\, IoT\, d ata analytics\,&nbsp\;robotics\, signal\, and image processing. He has pub lished more than 400 journal papers and 300&nbsp\;conference papers. He is an associate editor of various journals such as Scientific Reports\, EEE< br>System\, Man\, Cybernetic Letters\, and Journal of Sensors. He is the e ditor of the Springer book&nbsp\;series on &ldquo\;Information Fusion and Data Science&rdquo\;. He is a Fellow of IEEE\, SPIE\, Engineering&nbsp\;In stitute of Canada (EIC)\, Canadian Academy of Engineering (CAE) and Royal Society of&nbsp\;Canada (RSC).&nbsp\;</p> END:VEVENT END:VCALENDAR