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“John Christian”
Image-Based Navigation Could Help Spacecraft Safely Land on The Moon
Nova-C lander on the lunar surface. (Credit: Intuitive Machines)

Research demonstrates how a series of lunar images could provide key navigational data

TROY, NY (Rensselaer Polytechnic Institute PR) — In order for future lunar exploration missions to be successful and land more precisely, engineers must equip spacecraft with technologies that allow them to “see” where they are and travel to where they need to be. Finding specific locations amid the moon’s complicated topography is not a simple task.

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  • Parabolic Arc
  • December 22, 2020
NIAC Award: StarNAV Architecture for Autonomous Spacecraft Navigation
Illustration of the StarNAV concept (Credits: John Christian)

NASA Innovative Advanced Concepts (NIAC) Phase I Award
Amount: $125,000

StarNAV: An Architecture for Autonomous Spacecraft Navigation by the Relativistic Perturbation of Starlight

John Christian
Rensselaer Polytechnic Institute

StarNAV is a novel architecture for navigating anywhere in the Solar System or beyond using the relativistic perturbation of starlight. The proposed StarNAV technique measures the change in inter-star angle due to stellar aberration to estimate vehicle velocity. These velocity estimates may be used for navigation.

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  • Parabolic Arc
  • April 30, 2020