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UID:0-295@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20200120T163000

DTEND;TZID=Asia/Jerusalem:20200120T173000

DTSTAMP:20230527T131124Z

URL:https://aerospace.technion.ac.il/events/the-bar-itzhack-navigation-sem
 inar-pnt-research-at-the-osu-college-of-engineering-an-overview/

SUMMARY:The Bar-Itzhack Navigation Seminar - PNT Research at the OSU Colleg
 e of Engineering: an Overview
DESCRIPTION:Lecturer:Prof. Dorota A. Grejner-Brzezinska\n Faculty:College o
 f Engineering\n Institute:The Ohio State University\n Location:Classroom 1
 65\, ground floor\, Library\, Aerospace Eng.\n Zoom: \n Abstract: \n Detai
 ls: \n A brief overview of the Ohio State College of Engineering (COE) wil
 l be presented\, with the emphasis on the strategic research pillars and t
 he research strengths and priorities. The focus will be on the COE’s res
 earch centers that form the operational core of the COE’s research missi
 on. The opportunities for collaborative research will be briefly discussed
 . In addition\, a newly established SMART Center at the OSU’s Transporta
 tion Research Center will be discussed to offer some insights into smart m
 obility and autonomy research and the COE’s capabilities in the area of 
 autonomous vehicle testing.\nNext\, an overview of research in broad areas
  of Positioning\, Navigation and Timing (PNT) performed at COE\, with the 
 emphasis on the research program of the Satellite Positioning and Inertial
  Navigation (SPIN) Lab\, will be discussed. Over the past 15+ years\, SPIN
  Lab has completed over 60 research projects sponsored by the Federal and 
 State governments and the industry\, with a total budget of over $22M. The
  primary areas of research are GPS/GNSS algorithms\, mainly high-accuracy 
 static and kinematic network-based solutions including the PPP technique\,
  GNSS error modeling\, and GNSS integration with inertial technology. As t
 he demand for ubiquitous navigation has been steadily growing\, alternativ
 e navigation methods based on multi-sensor systems with increasingly uncon
 ventional techniques\, such as Artificial Intelligence (AI)-based\, image 
 and terrain-based solutions started to dominate SPIN Lab’s research port
 folio over the last more than a decade. More recently\, collaborative navi
 gation combined with the image-based approach and AI techniques has been t
 he driving force of the SPIN Lab’s research\, as these technologies are 
 expected to support the key emerging applications\, such as autonomous veh
 icles\, UAS swarms\, indoor and transitional navigation\, and general mobi
 lity in smart cities\, etc.
CATEGORIES:Seminars
LOCATION:Classroom 165\, ground floor\, Library\, Aerospace Eng.

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DTSTART:20191027T010000

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