Sarah Urdahl
Papers
1
Total Citations
2
H-Index
1
About
Sarah Urdahl is a researcher advancing the frontiers of autonomous navigation, with a particular focus on terrain-relative systems for aerospace vehicles. Her work centers on leveraging state-of-the-art velocimeter Light Detection and Ranging (LIDAR) sensors to solve critical challenges in vehicle state estimation. In her most-cited paper, "Velocimeter LIDAR-Based Bulk Velocity Estimation for Terrain Relative Navigation Applications" (2022), Urdahl introduced a novel batch state estimation approach that simultaneously estimates both translational and angular velocity. This method enables more robust and accurate navigation in GPS-denied or unknown environments, directly supporting Terrain and Hazard Relative Navigation. While her citation count is still growing, the technical depth and practical significance of her contribution have already established her as a promising voice in the field. Her work bridges sensor technology and estimation theory, offering a pathway toward safer, more autonomous landings and operations on planetary surfaces or challenging terrestrial terrain. For students and researchers, Urdahl’s research exemplifies how innovative sensor fusion can unlock new capabilities in autonomous aerospace systems.
Research Focus
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Top Papers
- 1