statistics with dense planetary conjunction clusters each containing at least 6 conjunctions
Conjunction filtering and probability of collision using the Foster and Alfano methods.
Energy-Aware Digital Twin with seamless integration of a Graph Neural Network predictive core with a Reinforcement Learning maneuvering agent for managing advanced LEO satellite constellations, with a specific focus on Indian space infrastructure.
An intelligent Space Situational Awareness platform that tracks satellites and debris using public TLE data, detects and prioritizes close-approach conjunctions, predicts collision risk, and provides explainable alerts with orbital visualization and what-if maneuver analysis.
An intelligent Space Situational Awareness platform that tracks satellites and debris using public TLE data, detects and prioritizes close-approach conjunctions, predicts collision risk, and provides explainable alerts with orbital visualization and what-if maneuver analysis.
Satellite conjunction analysis engine: SGP4 propagation, two-phase collision screening, Foster/Chan/Monte-Carlo collision probability, maneuver planning, CCSDS CDM generation, and a live 3D catalog globe over FastAPI.
To associate your repository with the conjunction-analysis topic, visit your repo's landing page and select "manage topics."