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Abstract: An increased level of autonomy is critical for meeting many of the goals of advanced planetary rover missions such as NASA's 2009 Mars Science Lab. One important component of this is state estimation, and in particular fault detection on-board the rover. In this paper we describe the results of a project funded by the Mars Technology Program at NASA, aimed at developing algorithms to meet this requirement. We describe a number of particle filtering-based algorithms for state estimation which we ... (Update)
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BibTeX entry: (Update)
R. Dearden, F. Hutter, R.G. Simmons, S. Thrun, V. Verma, and T. Willeke. Real-time fault detection and situational awareness for rovers: Report on the mars technology program task. In Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, 2004. To appear. http://citeseer.ist.psu.edu/article/dearden04realtime.html More
@misc{ dearden04realtime,
author = "R. Dearden and F. Hutter and R. Simmons and S. Thrun and V. Verma and T.
Willeke",
title = "Real-time fault detection and situational awareness for rovers: Report
on the mars technology program task",
text = "R. Dearden, F. Hutter, R.G. Simmons, S. Thrun, V. Verma, and T. Willeke.
Real-time fault detection and situational awareness for rovers: Report on
the mars technology program task. In Proceedings of the IEEE Aerospace Conference,
Big Sky, MT, USA, 2004. To appear.",
year = "2004",
url = "citeseer.ist.psu.edu/article/dearden04realtime.html" }
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