BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20181104T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69b72b0eec756
DTSTART;TZID=America/Toronto:20190909T120000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190909T120000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-local-and-cooperative-autonomous
LOCATION:E7 - Engineering 7 200 University Ave West 5419 Waterloo ON N2L 3G
 1 Canada
SUMMARY:Master’s Thesis Presentation: Local and Cooperative Autonomous\nV
 ehicle Perception from Synthetic Datasets
CLASS:PUBLIC
DESCRIPTION:BRADEN HURL\, MASTER’S CANDIDATE\n_David R. Cheriton School o
 f Computer Science_\n\nThis work introduces the Precise Synthetic Image an
 d LiDAR (PreSIL)\ndataset for autonomous vehicle perception. Grand Theft A
 uto V (GTA V)\,\na commercial video game\, has a large\, detailed world wi
 th realistic\ngraphics\, which provides a diverse data collection environm
 ent.\nExisting works creating synthetic LiDAR data for autonomous driving\
 nwith GTA V have not released their datasets\, rely on an in-game\nraycast
 ing function which represents people as cylinders\, and can fail\nto captu
 re vehicles past 30 metres.
DTSTAMP:20260315T215630Z
END:VEVENT
END:VCALENDAR