A: No. The CPU cluster runs Bare Metal or an AUTOSAR RTOS. No MMU for full Linux.

The EyeQ4 supports a wide range of L2 and L2+ autonomous features: ZF and Mobileye Safety Technology Chosen by Toyota

Here is the datasheet text for the (by Mobileye, an Intel company). This is a technical summary based on public and industry-standard documentation.

: Designed for compliance with EU NCAP and US NHTSA regulatory requirements.

Unlike commodity chips (e.g., from TI or STMicroelectronics), Mobileye does not publish the full EyeQ4 datasheet on its public website. To obtain it:

Can process information from up to 8 cameras simultaneously at 36 frames per second (fps). Architecture & Hardware Cores

The EyeQ4 uses a heterogeneous "accelerator-rich" architecture. It doesn't rely solely on standard CPUs but instead uses four specialized classes of programmable accelerators designed for computer vision tasks.

The EyeQ4 incorporates six VMP cores . These are wide-vector VLIW (Very Long Instruction Word) and SIMD (Single Instruction, Multiple Data) matrix machines. They excel at executing low-level pixel manipulation and the linear integer math operations common in computer vision.

Two cores providing high compute density for dense computer vision algorithms. Supports dual 1.6GHz, 32-bit LPDDR4 SDRAM interfaces. Connectivity:

Limitations and Challenges

: Capable of reaching 2.5 Tera Operations Per Second (TOPS) (or 2.5 TFLOPS).

| Feature | EyeQ3 | EyeQ4 | EyeQ5 | | :--- | :--- | :--- | :--- | | | 2014 | 2018 | 2020 | | Process | 40nm | 28nm FD-SOI | 7nm FinFET | | Performance | 0.256 TFLOPS | 2.5 TFLOPS | 24 TFLOPS (system) | | Power | 2.5W | 3W | 10W (system) | | Max ADAS Level | L2 | L3 | L4/L5 | | Camera Support | - | Up to 8 | - | | Target Pixel | 1MP | 2MP | 8MP |

The EyeQ4 achieved significant commercial success. By late 2020, the entire EyeQ family (EyeQ2-4) had shipped over 60 million units, with the EyeQ4 representing the majority of new shipments that year. It was licensed by major automakers like Toyota and Nissan and integrated into vehicles such as the Lexus LS and Toyota Mirai.

For engineers reading an , the following electrical and physical parameters are critical:

More versatile than a GPU for visual tasks, providing high-efficiency OpenCL-like acceleration. 主要功能 (Primary ADAS Features)