BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20250309T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:PDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251102T010000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:PST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251105T034123Z
UID:E473342A-208E-46D2-9E9B-951BCA875816
DTSTART;TZID=America/Los_Angeles:20250724T185000
DTEND;TZID=America/Los_Angeles:20250724T200000
DESCRIPTION:Interior monitoring systems in passenger cars are becoming incr
 easingly vital\, driven by two primary factors: (i) stringent legal and re
 gulatory mandates\, and (ii) the increasing autonomy levels (L2+). The "ch
 ild left behind" scenario is already governed by legal provisions in the U
 nited States and Europe\, with anticipated global adoption. Despite being 
 a prominent solution\, camera-based monitoring encounters challenges such 
 as limited line of sight and variable light conditions.\nFuture interior m
 onitoring solutions also target health monitoring for both drivers and pas
 sengers\, focusing on areas like drowsiness detection\, respiration\, and 
 heart rate. This presentation explores complementary approaches to camera-
 only systems\, emphasizing enhanced accuracy and coverage while potentiall
 y reusing vehicular access infrastructure. Leveraging commercial ultra-wid
 eband (UWB) radios and/or 60GHz radars\, the proposed sensor system integr
 ates advanced AI algorithms tailored to automotive standards.\nA technical
  exposition will delve into the operational mechanics of such sensor syste
 ms including a healthy competition between advanced signal processing and 
 machine learning based approaches (recipient of several best paper award n
 ominations). The presentation will be complemented by a demonstration feat
 uring automotive applications (video)\, offering a comprehensive insight i
 nto the evolving landscape of interior monitoring technology for passenger
  cars.\n\nSpeaker(s): Dr. Vivek Jain \n\nAgenda: \n6:50 - 7 PM: Registrati
 on\n\n7-8 PM: Talk and Q&A\n\n3165 Kifer Road\, Building B (Cafeteria Area
 )\, Santa Clara\, California\, United States\, 95051
LOCATION:3165 Kifer Road\, Building B (Cafeteria Area)\, Santa Clara\, Cali
 fornia\, United States\, 95051
ORGANIZER:bherrera@qti.qualcomm.com
SEQUENCE:19
SUMMARY:RF Sensing for Automotive Interior Monitoring 
URL;VALUE=URI:https://events.vtools.ieee.org/m/493305
X-ALT-DESC:Description: <br /><p style="text-align: center\;">Interior moni
 toring systems in passenger cars are becoming increasingly vital\, driven 
 by two primary factors: (i) stringent legal and regulatory mandates\, and 
 (ii) the increasing autonomy levels (L2+). The "child left behind" scenari
 o is already governed by legal provisions in the United States and Europe\
 , with anticipated global adoption. Despite being a prominent solution\, c
 amera-based monitoring encounters challenges such as limited line of sight
  and variable light conditions.&nbsp\;<br>Future interior monitoring solut
 ions also target health monitoring for both drivers and passengers\, focus
 ing on areas like drowsiness detection\, respiration\, and heart rate. Thi
 s presentation explores complementary approaches to camera-only systems\, 
 emphasizing enhanced accuracy and coverage while potentially reusing vehic
 ular access infrastructure. Leveraging commercial ultra-wideband (UWB) rad
 ios and/or 60GHz radars\, the proposed sensor system integrates advanced A
 I algorithms tailored to automotive standards.&nbsp\;<br>A technical expos
 ition will delve into the operational mechanics of such sensor systems inc
 luding a healthy competition between advanced signal processing and machin
 e learning based approaches (recipient of several best paper award nominat
 ions). The presentation will be complemented by a demonstration featuring 
 automotive applications (video)\, offering a comprehensive insight into th
 e evolving landscape of interior monitoring technology for passenger cars.
 </p>\n<p>&nbsp\;</p><br /><br />Agenda: <br /><p>6:50 - 7 PM: Registration
 </p>\n<p>7-8 PM: Talk and Q&amp\;A</p>
END:VEVENT
END:VCALENDAR