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Table of Contents:

Chapter 1: Introduction
1.1 Background of the Study
1.2 Problem Statement
1.3 Research Questions
1.4 Significance of the Study
1.5 Objectives of the Study
1.6 Limitations of the Study
1.7 Scope of the Study

Chapter 2: Literature Review
2.1 Overview of Artificial Intelligence in Autonomous Vehicles
2.2 Challenges and Opportunities in Autonomous Vehicles Navigation
2.3 Previous Studies on AI in Autonomous Vehicles Navigation
2.4 Current Trends in Autonomous Vehicles Technology
2.5 The Role of Machine Learning in Autonomous Vehicles

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sample Selection
3.5 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Analysis of Data Collected
4.2 Comparison of Results with Literature Review
4.3 Implications of Findings on Autonomous Vehicles Navigation
4.4 Recommendations for Future Research
4.5 Practical Applications of the Study

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Contribution to Knowledge
5.4 Implications for Practice
5.5 Recommendations for Further Research

Brief Overview:

The thesis on Artificial Intelligence in Autonomous Vehicles Navigation aims to explore the role of AI in enhancing the navigation capabilities of autonomous vehicles. The study will investigate the challenges and opportunities in implementing AI technology in autonomous vehicles, as well as analyze current trends and advancements in the field. The research methodology will involve a comprehensive literature review, data collection, and analysis to provide insights into the impact of AI on autonomous vehicles navigation. The findings from the study will contribute to the existing knowledge in the field and provide recommendations for future research and practical applications. Overall, the thesis will address the importance of AI in improving the efficiency and safety of autonomous vehicles, paving the way for autonomous driving technology to revolutionize the transportation industry.

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