BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20210314T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:PDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20211107T010000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:PST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210417T203851Z
UID:0A5D426F-3B93-42FB-A9A9-B7F1D44047BE
DTSTART;TZID=America/Los_Angeles:20210415T183000
DTEND;TZID=America/Los_Angeles:20210415T200000
DESCRIPTION:Autonomous vehicles have a long history in San Diego. As we tra
 nsition not only to use of autonomous vehicles on the highway but also for
  micro-mobility services it is of interest to explore how we can solve pro
 blems such as integration into local communities\, but also leverage use o
 f technologies such as sensor fusion\, object (road-user) tracking\, dynam
 ic planning\, and machine learning to build next generation vehicles for c
 ommunity service. Over the last 2-3 years we have setup a laboratory at UC
  San Diego to develop\, test and evaluate technologies for autonomous vehi
 cles. In this presentation we will outline the overall program\, some of t
 he key challenges\, results from the research/educational efforts and disc
 uss our strategy for the future.\n\nCo-sponsored by: IEEE Computational In
 telligence Society\, Consultants Network\, Consumer Technology Society and
  Reliability Society\, San Diego Chapters\n\nSpeaker(s): Prof. Henrik I. C
 hristiansen\, \n\nVirtual: https://events.vtools.ieee.org/m/268631
LOCATION:Virtual: https://events.vtools.ieee.org/m/268631
ORGANIZER:nbalac@eng.ucsd.edu
SEQUENCE:7
SUMMARY:Evaluating Autonomous Vehicles at UC San Diego
URL;VALUE=URI:https://events.vtools.ieee.org/m/268631
X-ALT-DESC:Description: <br /><p>Autonomous vehicles have a long history in
  San Diego. As we transition not only to use of autonomous vehicles on the
  highway but also for micro-mobility services it is of interest to explore
  how we can solve problems such as integration into local communities\, bu
 t also leverage use of technologies such as sensor fusion\, object (road-u
 ser) tracking\, dynamic planning\, and machine learning to build next gene
 ration vehicles for community service. Over the last 2-3 years we have set
 up a laboratory at UC San Diego to develop\, test and evaluate technologie
 s for autonomous vehicles. In this presentation we will outline the overal
 l program\, some of the key challenges\, results from the research/educati
 onal efforts and discuss our strategy for the future.</p>
END:VEVENT
END:VCALENDAR