Oct 30 – General Meeting, Keynote Speaker: John F. Raquet

The next general meeting of the ION North Star Section will be Tuesday, Oct 30th in Mechanical Engineering Building Room 1130 at the University of Minnesota (http://campusmaps.umn.edu/tc/map.php?building=265), starting at 6:00 PM.

John F. Raquet, the keynote speaker, will give a presentatation is entitled “Magnetic Field-Based Navigation and the Need for Self-Building World Models.”

Sandwiches and beverages will be served during the Meet and Greet portion of the meeting.

Please email us at ion.nortstar@gmail.com, if you plan to attend.

  6:00 Meet and Greet
  6:30 Keynote Speaker
  7:45 Section Business
  8:00 Closing remarks

Keynote presentation:

Speaker: John F. Raquet

John F. Raquet is the Director of the Advanced Navigation Technology (ANT) Center at the Air Force Institute of Technology (AFIT), where he is also an Associate Professor of Electrical Engineering.  The ANT Center consists of 22 faculty members, 6 staff members, and over 40 students working to solve a wide variety of problems related to autonomy and navigation.  Dr. Raquet directly supervises the research of 6-10 MS and PhD students.  He has a PhD in geomatics engineering from the University of Calgary, a masters in aero/astro engineering from the Massachusetts Institute of Technology, and a BS in astronautical engineering from the U.S. Air Force Academy.  He has published over 140 navigation-related conference and journal papers and taught 44 navigation-related short courses to over 1500 students in many different organizations.  He just completed his term as Chairman of the Satellite Division of the Institute of Navigation, and he is an ION Fellow.

Abstract: Magnetic Field-Based Navigation and the Need for Self-Building World Models

Variations in Earth’s magnetic field present a practical source of navigation information. A magnetometer and magnetic field maps can be used for determining position ground vehicles in a variety of environments. This presentation describes a navigation approach using only a magnetometer and magnetic field maps created in the same vehicle, as well as navigation when magnetic field maps are created in a vehicle of a different type. Pairing the three-axis magnetometer measurements with position information creates a magnetic field map containing the variation and localized perturbations in Earth’s magnetic field as a function of position. For navigation solutions, a particle filter uses the three-axis magnetometer measurements to produce road-level navigation exploring three suburban environments. The results demonstrate navigation using magnetic field variations in large vehicles is viable and achieves good performance for road-level navigation in suburban areas. Additionally, I will use this system as an example of the need to develop improved methods for generating what I call “self-building world models”–that is, to have the capability of efficiently generating maps of natural features (such as the magnetic field) without the need for a large-scale measurement campaign.  This capability will be key for most approaches that rely on natural signals for navigation.