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1. Introduction 1.1 Background and Motivation 1.2 Problem Statement 1.3 Objectives of the Study 1.4 Structure of the Paper 2. Overview of Autonomous Vehicles 2.1 Definition and History 2.2 Levels of Autonomy 2.3 Key Technologies 2.4 Current Market Trends 3. Sensor Technologies in Autonomous Vehicles 3.1 LiDAR System 3.2 Camera Systems 3.3 Radar and Ultrasonic Sensors 3.4 Inertial Measurement Units 3.5 Sensor Fusion Techniques 4. Integration Challenges and Solutions 4.1 Technical Integration Challenges 4.2 Data Processing and Management 4.3 Interoperability and Standardization 4.4 Reliability and Safety Considerations 5. Urban Mobility Needs 5.1 Current Urban Mobility Challenges 5.2 Impact of Autonomous Vehicles on Cities 5.3 Public Transportation Systems Integration 5.4 Demand for Smart Mobility Solutions 6. Case Studies on Sensor Integration 6.1 Case Study: City A 6.2 Case Study: City B 6.3 Comparative Analysis 6.4 Lessons Learned 7. Future Trends and Developments 7.1 Emerging Sensor Technologies 7.2 Evolving Urban Mobility Models 7.3 Role of Policy and Regulation 7.4 Adoption and Acceptance Factors 8. Conclusion and Recommendations 8.1 Summary of Key Findings 8.2 Recommendations for Implementation 8.3 Directions for Future Research 8.4 Final Thoughts on Sensor Integration
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