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Introduction

The increasing amount of debris present in Earth’s orbit poses a significant risk to satellites, spacecraft, and astronauts. This debris, ranging from defunct satellites to small fragments resulting from collisions, threatens the safety and sustainability of space activities. In order to mitigate this risk, advanced technologies such as Artificial Intelligence (AI) have been proposed for tracking and collision avoidance of space debris.

Chapter 1: Introduction

1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review

2.1 Overview of Space Debris
2.2 Current Tracking and Collision Avoidance Technologies
2.3 Role of Artificial Intelligence in Space Debris Mitigation
2.4 Machine Learning Algorithms for Space Debris Tracking
2.5 Collision Avoidance Strategies
2.6 Challenges in Implementing AI for Space Debris Tracking
2.7 Case Studies on AI Applications in Space Debris Mitigation
2.8 International Policies and Guidelines on Space Debris
2.9 Future Trends in Space Debris Tracking Technologies
2.10 Summary of Literature Review

Chapter 3: Research Methodology

3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 AI Models and Algorithms Selection
3.5 Simulation Environment Setup
3.6 Performance Metrics Evaluation
3.7 Validation and Verification Process
3.8 Ethical Considerations
3.9 Timeframe and Budget
3.10 Summary of Research Methodology

Chapter 4: Discussion of Findings

4.1 Analysis of AI Models Performance
4.2 Comparison with Traditional Tracking Methods
4.3 Impact of AI on Collision Avoidance Strategies
4.4 Integration Challenges and Solutions
4.5 Recommendations for Future Research
4.6 Policy Implications
4.7 Potential Collaborations with Industry Partners
4.8 Conclusions from Findings

Chapter 5: Conclusion and Summary

5.1 Summary of Findings
5.2 Contributions to Knowledge
5.3 Implications for Space Debris Management
5.4 Limitations of the Study
5.5 Future Research Directions
5.6 Conclusion

Thesis Overview: AI for Space Debris Tracking and Collision Avoidance

The presence of space debris in Earth’s orbit poses a significant threat to satellite operations and space missions. This thesis explores the potential of Artificial Intelligence (AI) technologies for tracking and collision avoidance of space debris. The literature review provides an overview of space debris, current tracking technologies, and the role of AI in debris mitigation. The research methodology outlines the design, data collection, and analysis techniques employed in the study. The findings chapter discusses the performance of AI models in tracking and collision avoidance, as well as challenges and recommendations for future research. The conclusion summarizes the key findings and their implications for space debris management.

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