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SUMMARY:Towards more accurate and robust vehicle trajectory prediction
DTSTART:20230914T150000
DTEND:20230914T170000
DTSTAMP:20260916T194626Z
UID:76ac5ac6f681c6d126fd274e8b3c2ed58e5f8916aaea31f3a365be49
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ahmad Rahimi\nEDIC candidacy exam\nExam president: Prof. Rober
 t West\nThesis advisor: Prof. Alexandre Alahi\nCo-examiner: Prof. Antoine 
 Bosselut\n\nAbstract\nThis thesis focuses on enhancing the precision and r
 obustness of vehicle trajectory prediction. Leveraging cutting-edge algori
 thms and data-driven techniques\, the research delves deep into understand
 ing the complexities of vehicular movements in diverse environments. By ac
 counting for various factors like traffic conditions\, roadway geometry\, 
 and driver behaviors\, we aim to predict future trajectories with reduced 
 error margins\, paving the way for safer and more efficient transportation
  systems.\n\nBackground papers\ncoming soon
LOCATION:GC B2 424 https://plan.epfl.ch/?room==GC%20B2%20424
STATUS:CONFIRMED
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