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Six cores for image processing and integral types used in computer vision. MPC (Multi-threaded Processing Cluster):

Capable of 360-degree environmental perception when utilized in multi-camera configurations (such as tri-cam setups).

Critical for hardware design. The datasheet specifies strict rail sequencing:

The stands as a pivotal milestone in the evolution of Advanced Driver Assistance Systems (ADAS) and vision-based semi-autonomous driving . Co-developed by Mobileye and manufactured by STMicroelectronics , this fourth-generation Vision System-on-Chip (SoC) delivers ten times the compute density of its predecessor, the EyeQ3, while tightly conserving power efficiency.

6 Vector Microcode Processors (VMP), 2 Multithreaded Processing Clusters (MPC), 2 Programmable Macro Arrays (PMA) Up to 8 cameras simultaneously at 36 fps Functional Safety ISO 26262 ASIL-B(D) Packaging Flip-Chip FBGA 784-pin (22.5 x 22.5 x 1.7mm) Specialized Processing Cores The "magic" of the

Unlike a general-purpose GPU, the EyeQ4 features fixed-function accelerators that offer massive power savings:

The EyeQ4 is built on a heterogeneous architecture that utilizes specialized cores for different computer vision tasks to maximize efficiency.

The EyeQ4 datasheet is a testament to Mobileye's commitment to advancing the field of autonomous driving and AI. As the industry continues to evolve, we can expect to see further developments and innovations in the EyeQ4 SoC, enabling new applications and use cases. With its high-performance processing, advanced computer vision, and machine learning capabilities, the EyeQ4 is poised to play a critical role in shaping the future of autonomous driving and AI.

Six VMP cores that serve as wide vector (VLIW and SIMD) machines. These are highly tuned to handle short integral types commonly found in traditional computer vision.

(Fully Depleted Silicon On Insulator) technology for low power consumption. Vision Processing : Supports visual input from up to simultaneously at 30fps. Yole Group Key Functional Features Environment Modeling

Supports Road Experience Management (REM) for high-definition mapping harvesting. Safety Alerts:

28nm Fully Depleted Silicon On Insulator (FD-SOI) by STMicroelectronics Up to 8 cameras simultaneously at 36 FPS Safety Standard ISO 26262 compliant with ASIL-B(D) safety level Packaging Flip-Chip FBGA 784-pin; 22.5 x 22.5 x 1.7 mm EyeQ4 Variant Differences

The EyeQ4 is a powerful and feature-rich SoC that is well-suited for autonomous driving and ADAS applications. Its high-performance processing, advanced computer vision, and machine learning capabilities make it an attractive solution for developers of autonomous vehicles.

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Eyeq4 Datasheet ✮

Six cores for image processing and integral types used in computer vision. MPC (Multi-threaded Processing Cluster):

Capable of 360-degree environmental perception when utilized in multi-camera configurations (such as tri-cam setups).

Critical for hardware design. The datasheet specifies strict rail sequencing:

The stands as a pivotal milestone in the evolution of Advanced Driver Assistance Systems (ADAS) and vision-based semi-autonomous driving . Co-developed by Mobileye and manufactured by STMicroelectronics , this fourth-generation Vision System-on-Chip (SoC) delivers ten times the compute density of its predecessor, the EyeQ3, while tightly conserving power efficiency. eyeq4 datasheet

6 Vector Microcode Processors (VMP), 2 Multithreaded Processing Clusters (MPC), 2 Programmable Macro Arrays (PMA) Up to 8 cameras simultaneously at 36 fps Functional Safety ISO 26262 ASIL-B(D) Packaging Flip-Chip FBGA 784-pin (22.5 x 22.5 x 1.7mm) Specialized Processing Cores The "magic" of the

Unlike a general-purpose GPU, the EyeQ4 features fixed-function accelerators that offer massive power savings:

The EyeQ4 is built on a heterogeneous architecture that utilizes specialized cores for different computer vision tasks to maximize efficiency. Six cores for image processing and integral types

The EyeQ4 datasheet is a testament to Mobileye's commitment to advancing the field of autonomous driving and AI. As the industry continues to evolve, we can expect to see further developments and innovations in the EyeQ4 SoC, enabling new applications and use cases. With its high-performance processing, advanced computer vision, and machine learning capabilities, the EyeQ4 is poised to play a critical role in shaping the future of autonomous driving and AI.

Six VMP cores that serve as wide vector (VLIW and SIMD) machines. These are highly tuned to handle short integral types commonly found in traditional computer vision.

(Fully Depleted Silicon On Insulator) technology for low power consumption. Vision Processing : Supports visual input from up to simultaneously at 30fps. Yole Group Key Functional Features Environment Modeling The datasheet specifies strict rail sequencing: The stands

Supports Road Experience Management (REM) for high-definition mapping harvesting. Safety Alerts:

28nm Fully Depleted Silicon On Insulator (FD-SOI) by STMicroelectronics Up to 8 cameras simultaneously at 36 FPS Safety Standard ISO 26262 compliant with ASIL-B(D) safety level Packaging Flip-Chip FBGA 784-pin; 22.5 x 22.5 x 1.7 mm EyeQ4 Variant Differences

The EyeQ4 is a powerful and feature-rich SoC that is well-suited for autonomous driving and ADAS applications. Its high-performance processing, advanced computer vision, and machine learning capabilities make it an attractive solution for developers of autonomous vehicles.

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