David Busnardo
Papers
2
Total Citations
16
H-Index
2
About
David Busnardo is a key figure in the development of precision navigation for planetary landers, with his research centered on sensor fusion, inertial navigation, and autonomous hazard avoidance. His most significant contributions support NASA’s Autonomous Landing and Hazard Avoidance Technology (ALHAT) project, where he pioneered the use of LIDAR-aided inertial navigation systems. Specifically, Busnardo developed an extended Kalman filter routine that fuses LIDAR range measurements with inertial data to estimate a spacecraft’s position, velocity, and attitude during the critical landing phase over rough terrain. This work is foundational for enabling pinpoint landing accuracy, a capability essential for future missions to the Moon, Mars, and beyond. His 2011 paper on the topic has garnered 12 citations, reflecting its importance in the field of aerospace guidance and control. By solving the challenge of real-time state estimation in GPS-denied environments, Busnardo’s research directly advances the safety and precision of autonomous spacecraft landings, making him a notable contributor to NASA’s exploration goals.
Research Focus
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Top Papers
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