/Complementary Flyover and Rover Sensing for Superior Modeling of Planetary Features

Complementary Flyover and Rover Sensing for Superior Modeling of Planetary Features

Heather Jones, Uland Wong, Kevin Peterson, Jason Koenig, Aashish Sheshadri and William (Red) L. Whittaker
Conference Paper, Proceedings of the 8th International Conference on Field and Service Robotics, July, 2012

Download Publication (PDF)

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

This paper presents complementary flyover and surface exploration for reconnaissance of planetary point destinations, like skylights and polar crater rims, where local 3D detail matters. Recent breakthroughs in precise, safe landing enable spacecraft to touch down within a few hundred meters of target destinations. These precision trajectories provide unprecedented access to bird’s-eye views of the target site and enable a paradigm shift in terrain modeling and path planning. High-angle flyover views penetrate deep into concave features while low-angle rover perspectives provide detailed views of areas that cannot be seen in flight. By combining flyover and rover sensing in a complementary manner, coverage is improved and rover trajectory length is reduced by 40%. Simulation results for modeling a Lunar skylight are presented.

BibTeX Reference
@conference{Jones-2012-7546,
author = {Heather Jones and Uland Wong and Kevin Peterson and Jason Koenig and Aashish Sheshadri and William (Red) L. Whittaker},
title = {Complementary Flyover and Rover Sensing for Superior Modeling of Planetary Features},
booktitle = {Proceedings of the 8th International Conference on Field and Service Robotics},
year = {2012},
month = {July},
publisher = {Springer Verlag},
}
2017-09-13T10:39:46+00:00