A Survey of Artificial Intelligence Techniques for Space Debris Detection, Tracking, and Mitigation

Abstract Space debris is considered a major challenge for space activities, and has gained significant attention in recent times. Satellites, rocket fragments, and other human activities have resulted in an increase in damaged satellites and collision debris in Earth's orbital space. Conventional debris detection technologies are often ineffective in managing the growing volume of space debris and the associated complex data. Artificial intelligence is recognized as an efficient technology for space debris detection, tracking, collision prediction, and mitigating its effects. This survey paper provides an overview of space debris, its adverse effects, statistics, and AI techniques for handling space debris. Keywords: Space Debris, Artificial Intelligence, Machine Learning, Space Situational Awareness, Collision Avoidance