@inproceedings{9d5a0181ce824e4e804048369a28d237,

title = "Attitude estimation via LIDAR altimetry and a particle filter",

abstract = "Given a three dimensional (3D) point cloud of a resident space object (RSO) and a chaser spacecraft with a scanning LIDAR, we need to determine the relative position, velocity, attitude, and rotational velocity between the spacecraft and the RSO. For this initial work, we assume that the relative position and velocity of the chaser spacecraft are known, and use a Rao-Blackwellized particle filter to infer the relative attitude and rotational velocity of the RSO with respect to the chaser. Specifically, we assume that the relative attitude is defined as the rotations around the x, y, and z axes of the point cloud reference frame necessary to align the point cloud axes with the axes of an inertial reference frame, which in practice could be maintained with high accuracy by the chaser spacecraft attitude determination system. The angular rate is just the time derivative of these rotations determined at fixed time intervals.",

author = "Brian Gaudet and Roberto Furfaro and Bogdan Udrea",

year = "2014",

language = "English (US)",

series = "Advances in the Astronautical Sciences",

publisher = "Univelt Inc.",

pages = "1449--1459",

editor = "Mackison, {Donald L.} and Ossama Abdelkhalik and Wilson, {Roby S.} and Renato Zanetti",

booktitle = "Advances In The Astronautical Sciences",

note = "24th AAS/AIAA Space Flight Mechanics Meeting, 2014 ; Conference date: 26-01-2014 Through 30-01-2014",

}