BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Canada/Eastern
BEGIN:DAYLIGHT
DTSTART:20210314T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
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BEGIN:STANDARD
DTSTART:20201101T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
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BEGIN:VEVENT
DTSTAMP:20201107T060949Z
UID:40915AE4-DB56-45E8-83DD-857B580CB174
DTSTART;TZID=Canada/Eastern:20201103T183000
DTEND;TZID=Canada/Eastern:20201103T194500
DESCRIPTION:Abstract: This talk will discuss self-driving car technology an
 d related sensor fusion methods and challenges. The talk will start by dis
 cussing the social impacts and economic motivations of self-driving cars. 
 Following that\, the common sensors technologies used for autonomous car n
 avigation will be discussed\, demonstrating the pros and cons of each sens
 or technology. The talk will then discuss the concept of sensor fusion wit
 h examples of fusing information from Radar\, Camera\, and inertial sensor
 s.\n\nSpeaker(s): Prof. Mohamed M Atia\, \n\n1125 Colonel By Dr\, Ottawa\,
  Ontario\, Canada\, K1S 5B6\, Virtual: https://events.vtools.ieee.org/m/24
 6852
LOCATION:1125 Colonel By Dr\, Ottawa\, Ontario\, Canada\, K1S 5B6\, Virtual
 : https://events.vtools.ieee.org/m/246852
ORGANIZER:sreeramanr@sce.carleton.ca
SEQUENCE:1
SUMMARY:Self-driving cars\, social impacts\, economic motivation\, and sens
 or fusion challenges
URL;VALUE=URI:https://events.vtools.ieee.org/m/246852
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;: This talk will 
 discuss self-driving car technology and related sensor fusion methods and 
 challenges. The talk will start by discussing the social impacts and econo
 mic motivations of self-driving cars. Following that\, the common sensors 
 technologies used for autonomous car navigation will be discussed\, demons
 trating the pros and cons of each sensor technology. The talk will then di
 scuss the concept of sensor fusion with examples of fusing information fro
 m Radar\, Camera\, and inertial sensors.&lt;/p&gt;
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