BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Australia/Sydney
BEGIN:DAYLIGHT
DTSTART:20251005T030000
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10
TZNAME:AEDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20260405T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4
TZNAME:AEST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251212T000853Z
UID:AD65D1AF-884B-41D8-A752-FDDA48712D65
DTSTART;TZID=Australia/Sydney:20251209T140000
DTEND;TZID=Australia/Sydney:20251209T150000
DESCRIPTION:Enhanced Perception for Safer Autonomous Driving: Roadside Mult
 i-Modal Sensor Fusion and 3D Detection\n\nPresented by Dr Walter Zimmer\nD
 ate: Tuesday\, 9 December 2025\, at 2:00 pm\nZoom ID: [https://uni-sydney.
 zoom.us/j/84205894524](https://url.au.m.mimecastprotect.com/s/2kq4CGv0oyCO
 mGO3kfPU0FBfN16?domain=t.e2ma.net)\n\nAbstract:\n\nThis research addresses
  critical automotive challenges\, including road safety and traffic conges
 tion\, by enhancing autonomous vehicle perception through roadside multi-m
 odal sensor fusion. By combining data from onboard and roadside sensors\, 
 the study improves 3D object detection\, particularly in complex urban env
 ironments. It also introduces new datasets for benchmarking and proposes a
 dvanced methods for real-time traffic participant detection and tracking\,
  contributing to safer and more efficient autonomous driving systems.\n\nB
 io:\n\nDr. rer. nat. Walter Zimmer is a post-doctoral researcher at the Un
 iversity of California Los Angeles (UCLA). He received his Ph.D. from the 
 Technical University of Munich (TUM) in 2025. His research focuses on coop
 erative autonomous driving\, 3D perception and 3D foundation models. He ha
 s authored over 30 publications at top venues such as CVPR\, ICCV\, ECCV\,
  ICML\, NeurIPS\, and T-PAMI. Dr. Zimmer previously worked as an Autonomou
 s Systems Engineer at the STTech startup and holds a master’s degree fro
 m TUM. His work has earned multiple awards\, including the IEEE ITSS Best 
 Student Paper Award 2023 and Best Dissertation Award 2025.\n\nCo-sponsored
  by: Australian Centre for Robotics (The University of Sydney)\n\nVirtual:
  https://events.vtools.ieee.org/m/520011
LOCATION:Virtual: https://events.vtools.ieee.org/m/520011
ORGANIZER:stephany.berrioperez@sydney.edu.au
SEQUENCE:9
SUMMARY:Enhanced Perception for Safer Autonomous Driving: Roadside Multi-Mo
 dal Sensor Fusion and 3D Detection
URL;VALUE=URI:https://events.vtools.ieee.org/m/520011
X-ALT-DESC:Description: &lt;br /&gt;&lt;table class=&quot;x_MsoNormalTable&quot; style=&quot;width:
  0%\;&quot; border=&quot;0&quot; width=&quot;100%&quot; cellspacing=&quot;0&quot; cellpadding=&quot;0&quot;&gt;\n&lt;tbody&gt;\n
 &lt;tr&gt;\n&lt;td&gt;\n&lt;div align=&quot;center&quot;&gt;\n&lt;table class=&quot;x_MsoNormalTable&quot; border=&quot;
 0&quot; width=&quot;640&quot; cellspacing=&quot;0&quot; cellpadding=&quot;0&quot;&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td valign
 =&quot;top&quot; width=&quot;100%&quot;&gt;\n&lt;table class=&quot;x_MsoNormalTable&quot; border=&quot;0&quot; width=&quot;10
 0%&quot; cellspacing=&quot;0&quot; cellpadding=&quot;0&quot;&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td width=&quot;100%&quot;&gt;\n&lt;h
 1&gt;&lt;span data-olk-copy-source=&quot;MessageBody&quot;&gt;Enhanced Perception for Safer A
 utonomous Driving: Roadside Multi-Modal Sensor Fusion and 3D Detection&lt;/sp
 an&gt;&lt;/h1&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;\n&lt;p class=&quot;x_MsoNormal&quot;&gt;&lt;img sr
 c=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/5942c706-2100-45
 56-9a53-222a7c0a097e&quot; width=&quot;767&quot; height=&quot;254&quot;&gt;&lt;/p&gt;\n&lt;table class=&quot;x_MsoNo
 rmalTable&quot; border=&quot;0&quot; width=&quot;100%&quot; cellspacing=&quot;0&quot; cellpadding=&quot;0&quot;&gt;\n&lt;tbod
 y&gt;\n&lt;tr&gt;\n&lt;td width=&quot;100%&quot;&gt;\n&lt;h2&gt;&lt;strong&gt;Presented by Dr Walter Zimmer&lt;/st
 rong&gt;&lt;br&gt;&lt;strong&gt;Date: Tuesday\, 9 December 2025\, at 2:00 pm&lt;/strong&gt;&lt;br&gt;
 &lt;strong&gt;Zoom ID:&amp;nbsp\;&lt;u&gt;&lt;a title=&quot;https://url.au.m.mimecastprotect.com/s
 /2kq4CGv0oyCOmGO3kfPU0FBfN16?domain=t.e2ma.net&quot; href=&quot;https://url.au.m.mim
 ecastprotect.com/s/2kq4CGv0oyCOmGO3kfPU0FBfN16?domain=t.e2ma.net&quot; target=&quot;
 _blank&quot; rel=&quot;noopener noreferrer&quot; data-auth=&quot;NotApplicable&quot; data-linkindex
 =&quot;0&quot;&gt;https://uni-sydney.zoom.us/j/84205894524&lt;/a&gt;&lt;/u&gt;&lt;/strong&gt;&lt;/h2&gt;\n&lt;/td&gt;
 \n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;\n&lt;p class=&quot;x_MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;table cl
 ass=&quot;x_MsoNormalTable&quot; border=&quot;0&quot; width=&quot;100%&quot; cellspacing=&quot;0&quot; cellpadding
 =&quot;0&quot;&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td width=&quot;100%&quot;&gt;\n&lt;h3&gt;&lt;strong&gt;Abstract:&lt;/strong&gt;&lt;/h
 3&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;\n&lt;p class=&quot;x_MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n
 &lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;\n&lt;/div&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td&gt;\n&lt;div a
 lign=&quot;center&quot;&gt;\n&lt;table class=&quot;x_MsoNormalTable&quot; border=&quot;0&quot; width=&quot;640&quot; cel
 lspacing=&quot;0&quot; cellpadding=&quot;0&quot;&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td valign=&quot;top&quot; width=&quot;100%
 &quot;&gt;\n&lt;table class=&quot;x_MsoNormalTable&quot; border=&quot;0&quot; width=&quot;100%&quot; cellspacing=&quot;0
 &quot; cellpadding=&quot;0&quot;&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td&gt;\n&lt;p&gt;This research addresses critic
 al automotive challenges\, including road safety and traffic congestion\, 
 by enhancing autonomous vehicle perception through roadside multi-modal se
 nsor fusion. By combining data from onboard and roadside sensors\, the stu
 dy improves 3D object detection\, particularly in complex urban environmen
 ts. It also introduces new datasets for benchmarking and proposes advanced
  methods for real-time traffic participant detection and tracking\, contri
 buting to safer and more efficient autonomous driving systems.&lt;/p&gt;\n&lt;/td&gt;\
 n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;\n&lt;p class=&quot;x_MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;table cla
 ss=&quot;x_MsoNormalTable&quot; border=&quot;0&quot; width=&quot;100%&quot; cellspacing=&quot;0&quot; cellpadding=
 &quot;0&quot;&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td width=&quot;100%&quot;&gt;\n&lt;h3&gt;&lt;strong&gt;Bio:&lt;/strong&gt;&lt;/h3&gt;\n&lt;/
 td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;\n&lt;p class=&quot;x_MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;table
  class=&quot;x_MsoNormalTable&quot; border=&quot;0&quot; width=&quot;100%&quot; cellspacing=&quot;0&quot; cellpadd
 ing=&quot;0&quot;&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td&gt;\n&lt;p&gt;Dr. rer. nat. Walter Zimmer is a post-do
 ctoral researcher at the University of California Los Angeles (UCLA). He r
 eceived his Ph.D. from the Technical University of Munich (TUM) in 2025. H
 is research focuses on cooperative autonomous driving\, 3D perception and 
 3D foundation models. He has authored over 30 publications at top venues s
 uch as CVPR\, ICCV\, ECCV\, ICML\, NeurIPS\, and T-PAMI. Dr. Zimmer previo
 usly worked as an Autonomous Systems Engineer at the STTech startup and ho
 lds a master&amp;rsquo\;s degree from TUM. His work has earned multiple awards
 \, including the IEEE ITSS Best Student Paper Award 2023 and Best Disserta
 tion Award 2025.&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tb
 ody&gt;\n&lt;/table&gt;\n&lt;/div&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;
END:VEVENT
END:VCALENDAR