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System Architecture Design

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System Architecture Design

System architecture design is essential for developing reliable and high-performance autonomous driving technology. Our approach includes:

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DGrid-SoC Architecture

We design our AI-powered SoC with a focus on power efficiency and data processing capabilities, utilizing domain-specific architectures (DSA) and customized domain-specific languages (DSLs) for optimal performance.

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Sensor Integration:

Our architecture supports multiple sensor types, including cameras, LIDAR, and radar, to enable comprehensive data gathering and processing. The system architecture is built to handle high data volumes and deliver real-time decision-making for autonomous driving.

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Scalability and Flexibility:

The architecture can be adapted for different levels of autonomy (from Level 1 to Level 3) and vehicle types, whether electric vehicles, hybrid models, or traditional combustion engine cars.

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Safety-Centric Design:

Safety is at the heart of our system design, with built-in redundancies and fail-safes to ensure reliable performance under all conditions.