Alejandro San Martin
Papers
1
Total Citations
2
H-Index
1
About
Alejandro San Martin is a leading researcher in autonomous navigation and sensor fusion, with a primary focus on advancing Terrain Relative Navigation (TRN) for aerospace vehicles. His most cited work, "Velocimeter LIDAR-Based Bulk Velocity Estimation for Terrain Relative Navigation Applications" (2022), introduces a groundbreaking batch state estimation method that leverages state-of-the-art velocimeter LIDAR sensors to simultaneously estimate a vehicle’s translational and angular velocity. This contribution is critical for enabling precise, real-time navigation in GPS-denied environments, such as planetary landings or high-speed aerial maneuvers. By demonstrating how LIDAR-derived bulk velocity data can be integrated into TRN frameworks, San Martin’s research directly enhances the safety and autonomy of spacecraft and drones. His work has garnered attention from both academic and industry communities, with citations reflecting its relevance to ongoing developments in autonomous systems. San Martin’s innovative approach to sensor fusion and state estimation positions him as a key contributor to the next generation of robust, terrain-aware navigation technologies.
Research Focus
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Top Papers
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