Leveraging AI Agents for Hardware Abstraction to Dynamically Access Neuromorphic and Non-Neuromorphic Hardware in Vehicles

1. Introduction 1.1 Background and Motivation 1.2 Research Objectives 1.3 Structure of the Study 2. Overview of AI Agents 2.1 Definition and Types 2.2 Applications in Automotive Industry 2.3 Benefits and Challenges 3. Hardware Abstraction Techniques 3.1 Concept and Importance 3.2 Existing Approaches 3.3 Comparison of Techniques 4. Neuromorphic Hardware in Vehicles 4.1 Characteristics and Features 4.2 Current Implementations 4.3 Potential Benefits 5. Non-Neuromorphic Hardware in Vehicles 5.1 Common Architectures 5.2 Performance Evaluation 5.3 Use Cases and Scenarios 6. Dynamic Access Strategies 6.1 Requirements and Constraints 6.2 Proposed Methodologies 6.3 Implementation Examples 7. Integrating AI for Hardware Abstraction 7.1 Framework Design 7.2 AI-Agent Based Models 7.3 Evaluation and Testing 8. Case Studies and Applications 8.1 Real-World Implementations 8.2 Comparative Analysis 8.3 Future Research Directions