Field Robotics Center Seminar

  • WENNIE TABIB
  • Masters Student
  • Robotics Institute
  • Carnegie Mellon University
Seminars

Crater Detection in Planetary Images

This research presents a method of identifying craters in planetary images. Crater detection forms the crux of optical registration algorithms in which collections of craters are matched to known locations on a planet. Absolute pose of a spacecraft can be recovered from pixel coordinates in the image and matching locations on the planet’s surface. While on-board GPS and INS systems are sufficient for pose estimation close to Earth, these methods fail in GPS-denied regions such as the Moon, Mars, asteroids, and other planetary bodies. As a result, georegistration using craters is ideal for estimating pose of a spacecraft when radio communications drop out.

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Wennie Tabib is a Masters student in the Robotics Institute advised by Red Whittaker. She received her B.S. degree in Computer Science from Carnegie Mellon University in 2012. She works part-time at Astrobotic Technology, Inc. as a software engineer on the autonomous landing team. She will be pursuing a Ph.D. in Computer Science this fall. Her current research interest is optical navigation.

Serves as partial fulfillment of the MS qualifier

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