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Horizon-Based OpNav with LORRI Imagery

Horizon-Based OpNav with LORRI Imagery

This project implemented horizon-based optical navigation (OpNav) using real flight imagery from the New Horizons spacecraft during its flyby of Pluto. Key Achievements: • Estimated the intrinsic calibration matrix for the LORRI camera using focal length and pixel pitch to compute focal length in pixels • Developed a Python pipeline using OpenCV to preprocess the image, detect Pluto's limb, and fit a circular model to the planet's horizon • Applied similar-triangle geometry to back-calculate the Z-distance from the pixel radius of Pluto's limb and computed x, y offsets to localize the camera-frame position Skills: Python, Optimization (linear and nonlinear)

Project Documentation

Horizon-Based OpNav Report

Comprehensive documentation of the optical navigation implementation, including camera calibration, limb detection algorithms, and spacecraft position estimation using New Horizons LORRI imagery.

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