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DTSTAMP:20221230T082239Z
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DTSTART;TZID=Asia/Jerusalem:20221226T101000
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DESCRIPTION:Autonomous driving is one of the megatrends in the automotive i
 ndustry\, and a majority of car manufacturers are already introducing vari
 ous levels of autonomy into commercially available vehicles. The main task
  of the sensing suite in autonomous vehicles is to provide the most reliab
 le and dense information on the vehicular surroundings. Specifically\, it 
 is necessary to acquire information on drivable areas on the road and to p
 ort all objects above the road level as obstacles to be avoided. Thus\, th
 e sensors need to detect\, localize\, and classify a variety of typical ob
 jects\, such as vehicles\, pedestrians\, poles\, and guardrails. Comprehen
 sive and accurate information on vehicle surroundings cannot be achieved b
 y any single practical sensor. Therefore\, all autonomous vehicles are typ
 ically equipped with multiple sensors of multiple modalities: radars\, cam
 eras\, and lidars. Lidars are expensive and cameras are sensitive to illum
 ination and weather conditions\, have to be mounted behind an optically tr
 ansparent surface\, and do not provide direct range and velocity measureme
 nts. Radars are robust to adverse weather conditions\, are insensitive to 
 lighting variations\, provide long and accurate range measurements\, and c
 an be packaged behind optically nontransparent fascia. This talk will disc
 uss active safety and autonomous driving features and associated sensing c
 hallenges. Next it will overview technology trends and state advantages of
  available sensing modalities and describe sensing performance requirement
 s.\n\nCo-sponsored by: ABC Robotics BGU\n\nSpeaker(s): Igal Bilik\, \n\nAg
 enda: \n10:10-11:00 Seminar\n\n11:00-12:00- Discussion\n\nRoom: 202\, Bldg
 : Alon 37\, Ben Gurion Univeristy \, Beer Sheva\, Southern District\, Isra
 el
LOCATION:Room: 202\, Bldg: Alon 37\, Ben Gurion Univeristy \, Beer Sheva\, 
 Southern District\, Israel
ORGANIZER:bilik@bgu.ac.il
SEQUENCE:2
SUMMARY:Sensing for Autonomous Driving 
URL;VALUE=URI:https://events.vtools.ieee.org/m/339407
X-ALT-DESC:Description: <br /><p>Autonomous driving is one of the megatrend
 s in the automotive industry\, and a majority of car manufacturers are alr
 eady introducing various levels of autonomy into commercially available ve
 hicles. The main task of the sensing suite in autonomous vehicles is to pr
 ovide the most reliable and dense information on the vehicular surrounding
 s. Specifically\, it is necessary to acquire information on drivable areas
  on the road and to port all objects above the road level as obstacles to 
 be avoided. Thus\, the sensors need to detect\, localize\, and classify a 
 variety of typical objects\, such as vehicles\, pedestrians\, poles\, and 
 guardrails. Comprehensive and accurate information on vehicle surroundings
  cannot be achieved by any single practical sensor. Therefore\, all autono
 mous vehicles are typically equipped with multiple sensors of multiple mod
 alities: radars\, cameras\, and lidars. Lidars are expensive and cameras a
 re sensitive to illumination and weather conditions\, have to be mounted b
 ehind an optically transparent surface\, and do not provide direct range a
 nd velocity measurements. Radars are robust to adverse weather conditions\
 , are insensitive to lighting variations\, provide long and accurate range
  measurements\, and can be packaged behind optically nontransparent fascia
 . This talk will discuss active safety and autonomous driving features and
  associated sensing challenges. Next it will overview technology trends an
 d state advantages of available sensing modalities and describe sensing pe
 rformance requirements.</p><br /><br />Agenda: <br /><p>10:10-11:00 Semina
 r</p>\n<p>11:00-12:00- Discussion</p>
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