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A 3-DOF point mass kinematic model of an ideal proportional navigation guidance missile written entirely in Python 3. Capable of creating trajectory files compatible with the pyThreeD program provided herein and the threeD program available at https://www.github.com/gedeschaines/threeD
See the drone, then hit it — finding a 3-14 pixel drone in 720p video from a moving camera, then closing on it with camera-only proportional-navigation guidance. Detection measured on real video; interception closed-loop in Isaac Sim.
A high performance realtime 3D missile guidance simulator built with Vulkan and Qt 6. Designed to visualize and analyze advanced interception algorithms like Proportional Navigation, Lead Pursuit, and Pure Pursuit. Focused on low-level rendering, aerospace math, and simulation accuracy.
A 3D kinematics and aerospace physics engine simulating Surface-to-Air Missile (SAM) engagements using True Proportional Navigation (PN), aerodynamic drag modeling, and energy management.
Async sensor fusion + Kalman LOS tracking and a 3D constrained intercept simulator (pure pursuit / predictive lead / proportional navigation), built around a real drone flight log.
A Python SITL simulation of autonomous aerial interception featuring Kalman Filter tracking, ProNav guidance physics, and adversarial AI evasion tactics.
Elo ratings for missile-guidance laws — a reproducible benchmark putting classical, optimal, game-theoretic, and learned interception guidance on one fair field (simulation-only).