Thesis (M.S. in Astronautical Engineering)--Naval Postgraduate School, September 2006. / "September 2006." Thesis advisor: Romano, Marcello. Performed by Naval Postgraduate School, Monterey, CA. Includes bibliographical references (p. 73-74). Also available online from the Naval Postgraduate School (NPS), Dudley Knox Library site and the DTIC Online site.

No description available.

Thesis (M.S.)--Florida State University, 2004. / Advisor: Dr. Frank A. Gross, Florida State University, College of Engineering, Dept. of Electrical and Computer Engineering. Title and description from dissertation home page (viewed June 18, 2004). Includes bibliographical references.

Thesis (M.S.)--Ohio University, August, 1995. / Title from PDF t.p.

Thesis (M.S. in Astronautical Engineering)--Naval Postgraduate School, December 2002. / Thesis advisor(s): Michael G. Spencer, Brij N. Agrawal. Includes bibliographical references (p. 93). Also available online.

Thesis (Master)--İzmir Institute of Technology, İzmir, 2004. / Includes bibliographical references (leaves . 71-75).

Current planetary rover localization techniques are lacking in autonomy and accuracy. An autonomous method of globally localizing a rover is proposed by matching features extractedvfrom a 3D orbital elevation map and rover-based 3D lidar scans. Localization can be further improved by including odometry measurements as well as orientation measurements from an inclinometer and sun sensor. The methodology was tested with real data from a Mars-Moon analogue site on Devon Island, Nunavut. By tying 23 real scans together with simulated odometry over a 10km traverse, the algorithm was able to localize with varying degrees of accuracy. Output uncertainties were large due to large input uncertainties, but these could be reduced in future experimentation by minimizing the use of simulated input data. It was concluded that the architecture could be used to accurately and autonomously localize a rover over long-range traverses.

Current planetary rover localization techniques are lacking in autonomy and accuracy. An autonomous method of globally localizing a rover is proposed by matching features extractedvfrom a 3D orbital elevation map and rover-based 3D lidar scans. Localization can be further improved by including odometry measurements as well as orientation measurements from an inclinometer and sun sensor. The methodology was tested with real data from a Mars-Moon analogue site on Devon Island, Nunavut. By tying 23 real scans together with simulated odometry over a 10km traverse, the algorithm was able to localize with varying degrees of accuracy. Output uncertainties were large due to large input uncertainties, but these could be reduced in future experimentation by minimizing the use of simulated input data. It was concluded that the architecture could be used to accurately and autonomously localize a rover over long-range traverses.

Thesis (M.S.)--Ohio University, March, 1995. / Title from PDF t.p.

Thesis (M.S. in Astronautical Engineering)--Naval Postgraduate School, September 2002. / Thesis advisor(s): Michael G. Spencer, Brij N. Agrawal. Includes bibliographical references (p. 83). Also available online.