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DTSTART:20380119T061407
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DTSTAMP:20191221T192803Z
UID:B9FA6312-AE94-4FA1-96C0-D0CA86F506E3
DTSTART;TZID=Turkey:20191220T124000
DTEND;TZID=Turkey:20191220T143000
DESCRIPTION:20 December 2019 (12:40): IEEE AP/MTT/EMC/ED Turkey Seminar Ser
 ies (S.63)\n\nSpeaker: Dr. Engin Tola\, Aurvis R&amp;D\n\nTopic: &quot;The Design A
 nd Development Of A Self Calibrating Star Tracker System&quot;\n\nLocation: Mid
 dle East Technical University\, Ankara\, Turkey\n\nAbstract: A Star tracke
 r is an electro-optical celestial referencing device that recognizes star 
 patterns\, such as constellations\, and detects its orientation in real-ti
 me to a high degree of accuracy. Satellites in orbit today make use of at 
 least one star tracker and they are also employed in Earth and space bound
  telescopes\, ballistic missiles\, tanks and night navigating ships. In th
 is talk\, I’ll be presenting the first national star tracker system deve
 loped by the Tubitak Space Research Center and myself for the target Turks
 at 6A and IMECE satellite platforms. The star tracker device has two main 
 operating modes: Lost-In-Space Mode\, where the device cold-starts at an u
 nknown orientation and tries to orient itself in some number of seconds an
 d the Tracking Mode\, where the star tracker updates its orientation from 
 a known initial orientation in real-time (&gt;10Hz) using the incoming video 
 stream. Additionally\, star tracker also needs to be able to operate in ha
 rsh environmental factors of space like high temperature gradients\, inten
 se vibrations during orbital launch and constant radiation. These environm
 ental factors result in shifts and decays in the calibration of the hardwa
 re which need to be compensated for in software. I’ll be presenting the 
 design and development of the algorithms used in the star tracker in order
  to ensure the required speed and accuracy targets throughout its operatio
 n lifetime.\n\nBio: Engin Tola received his BS and MS degrees in Electrica
 l and Electronics Engineering from the Middle East Technical University in
  2003 and 2005 respectively with Signal Processing as a sub-specialty. Aft
 er that he completed his PhD studies in Computer Vision from École Polyte
 chnique Fédérale de Lausanne\, Switzerland in 2010. He then founded Aurv
 is R&amp;D – a computer vision and machine learning research and development
  company in Ankara. He is primarily interested in 3d geometrical scene und
 erstanding\, reconstruction\, localization and exploration problems in rea
 l-time and offline camera systems for land-based or flying robotic platfor
 ms. During his 10 years in the industry\, he developed algorithms and prod
 ucts for companies like Autodesk\, Dronedeploy and Tubitak Space Research 
 Center. He is also a co-founder of Argutek – a mobile augmented reality 
 focused company and Docu.ai – a San Francisco based AI-powered data extr
 action company.\n\nSpeaker(s): Dr. Engin Tola\, \n\nAnkara\, Ankara\, Tür
 kiye
LOCATION:Ankara\, Ankara\, Türkiye
ORGANIZER:ozergul@metu.edu.tr
SEQUENCE:0
SUMMARY:IEEE AP/MTT/EMC/ED TURKEY CHAPTER SEMINAR SERIES -- SEMINAR 63
URL;VALUE=URI:https://events.vtools.ieee.org/m/215247
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;20 December 2019 (12:40): &amp;nbsp\;I
 EEE AP/MTT/EMC/ED Turkey Seminar Series (S.63)&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Speaker: D
 r. Engin Tola\, Aurvis R&amp;amp\;D&lt;/p&gt;\n&lt;p&gt;Topic: &quot;The Design And Development
  Of A Self Calibrating Star Tracker System&quot;&lt;/p&gt;\n&lt;p&gt;Location:&amp;nbsp\;Middle
  East Technical University\, Ankara\, Turkey&lt;/p&gt;\n&lt;p&gt;Abstract: A Star trac
 ker is an electro-optical celestial referencing device that recognizes sta
 r patterns\, such as constellations\, and detects its orientation in real-
 time to a high degree of accuracy. Satellites in orbit today make use of a
 t least one star tracker and they are also employed in Earth and space bou
 nd telescopes\, ballistic missiles\, tanks and night navigating ships. In 
 this talk\, I&amp;rsquo\;ll be presenting the first national star tracker syst
 em developed by the Tubitak Space Research Center and myself for the targe
 t Turksat 6A and IMECE satellite platforms. The star tracker device has tw
 o main operating modes: Lost-In-Space Mode\, where the device cold-starts 
 at an unknown orientation and tries to orient itself in some number of sec
 onds and the Tracking Mode\, where the star tracker updates its orientatio
 n from a known initial orientation in real-time (&amp;gt\;10Hz) using the inco
 ming video stream. Additionally\, star tracker also needs to be able to op
 erate in harsh environmental factors of space like high temperature gradie
 nts\, intense vibrations during orbital launch and constant radiation. The
 se environmental factors result in shifts and decays in the calibration of
  the hardware which need to be compensated for in software. I&amp;rsquo\;ll be
  presenting the design and development of the algorithms used in the star 
 tracker in order to ensure the required speed and accuracy targets through
 out its operation lifetime.&lt;/p&gt;\n&lt;p&gt;Bio: Engin Tola received his BS and MS
  degrees in Electrical and Electronics Engineering from the Middle East Te
 chnical University in 2003 and 2005 respectively with Signal Processing as
  a sub-specialty. After that he completed his PhD studies in Computer Visi
 on from &amp;Eacute\;cole Polytechnique F&amp;eacute\;d&amp;eacute\;rale de Lausanne\,
  Switzerland in 2010. He then founded Aurvis R&amp;amp\;D &amp;ndash\; a computer 
 vision and machine learning research and development company in Ankara. He
  is primarily interested in 3d geometrical scene understanding\, reconstru
 ction\, localization and exploration problems in real-time and offline cam
 era systems for land-based or flying robotic platforms. During his 10 year
 s in the industry\, he developed algorithms and products for companies lik
 e Autodesk\, Dronedeploy and Tubitak Space Research Center. He is also a c
 o-founder of Argutek &amp;ndash\; a mobile augmented reality focused company a
 nd Docu.ai &amp;ndash\; a San Francisco based AI-powered data extraction compa
 ny.&lt;/p&gt;
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