Title:
An Image Based Approach to Recovering the Gravitational Field of Asteroids

dc.contributor.author Melim, Andrew
dc.contributor.author Dellaert, Frank
dc.contributor.corporatename Georgia Institute of Technology. Institute for Robotics and Intelligent Machines en_US
dc.contributor.corporatename Georgia Institute of Technology. College of Computing en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Interactive Computing en_US
dc.date.accessioned 2015-08-18T19:14:27Z
dc.date.available 2015-08-18T19:14:27Z
dc.date.issued 2014
dc.description © 2014. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms. en_US
dc.description.abstract NASA’s DAWN spacecraft is on a mission to recover the gravity and structure of the asteroids Vesta and Ceres. Current approaches for developing a gravitational map of a celestial body rely upon use of the Deep Space Network of radio telescopes in conjunction with camera measurements for highly accurate tracking of orbiting bodies. Unfortunately, large occluding bodies greatly effect the accuracy of the radio tracking system, significantly reducing the time available for scientific experiments. This paper presents a Structure from Motion based approach that recovers the gravitational map as well as the asteroid’s structure in a two step optimization process. The approach solves for a set of spherical harmonic coefficients that define the gravitational potential given a spacecrafts relative position to the asteroid without the need for radiometric tracking from Earth based satellites. The resulting procedure can then be used to augment gravitational science during periods of large noise or damaged equipment. Results are shown using the Vesta dataset from the DAWN mission and are compared with the recently published results from the DAWN gravitational team. en_US
dc.embargo.terms null en_US
dc.identifier.citation Melim, A. & Dellaert, F. (2014). “An Image Based Approach to Recovering the Gravitational Field of Asteroids”. Proceedings of the British Machine Vision Conference (BMVC). 1-5 September 2014. en_US
dc.identifier.uri http://hdl.handle.net/1853/53729
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original British Machine Vision Association
dc.subject Asteroids en_US
dc.subject Earth based tracking systems en_US
dc.subject Extraterrestrial bodies en_US
dc.subject Gravitational field en_US
dc.subject Spherical harmonic coefficients en_US
dc.subject 3D reconstruction en_US
dc.subject Tracking systems en_US
dc.title An Image Based Approach to Recovering the Gravitational Field of Asteroids en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.author Dellaert, Frank
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
relation.isAuthorOfPublication dac80074-d9d8-4358-b6eb-397d95bdc868
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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