BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Vision-Based Sense and Avoid Algorithms for Unmanned Aerial Vehicl
 es
DTSTART:20171027T173000
DTSTAMP:20260430T111249Z
UID:f009ca6cd7adf60312cf7dd217473d187ad8e6e08fbec120d09ffaa8
CATEGORIES:Thesis defenses
DESCRIPTION:Steven Adriaan ROELOFSEN\nThesis directors : Prof. A. Martinol
 i \, Dr D. Gillet\nRobotics\, Control and Intelligent Systems doctoral pro
 gram.\nThesis  8043\n 
LOCATION:MA B1 11 https://plan.epfl.ch/?room=MAB111
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR