Eli D. Skulsky
Papers
1
Total Citations
2
H-Index
1
About
Eli D. Skulsky is a researcher specializing in autonomous navigation and sensor fusion, with a particular focus on enhancing spacecraft and aerial vehicle autonomy through advanced LIDAR technologies. His primary research areas include terrain relative navigation, state estimation, and velocimetry, where he develops novel algorithms to improve vehicle positioning and velocity estimation in GPS-denied environments. Skulsky’s most notable contribution is his work on velocimeter LIDAR-based bulk velocity estimation, introduced in his highly cited 2022 paper. This work presents a groundbreaking batch state estimation approach that leverages state-of-the-art LIDAR sensors to accurately estimate both translational and angular velocity states of a vehicle, directly addressing critical challenges in terrain and hazard relative navigation. By enabling more reliable velocity estimation without reliance on external signals, his research has significant implications for autonomous landing, planetary exploration, and aerial robotics. With growing recognition in the aerospace community, Skulsky’s innovative sensor fusion techniques are paving the way for safer, more precise autonomous navigation in complex and unknown terrains.
Research Focus
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Top Papers
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