Eyeq4 Datasheet -

: Supports various interfaces for connecting to sensors (cameras, radar, lidar), and other components of the vehicle's system. It also includes support for high-bandwidth memory to handle the data-intensive tasks.

Texas Instruments has published several highly detailed application notes for powering the EyeQ4, effectively acting as a power management datasheet. Key specifications for the (using TI's LP875761A-Q1 PMIC) include:

This efficiency is further supported by sophisticated power management ICs (PMICs) from partners like Texas Instruments and NXP. For example, TI's LP875701-Q1 and LP875761-Q1 PMICs are specifically designed to power the EyeQ4's 1.0V digital core rail, delivering up to 10A and 16A respectively, while meeting stringent automotive voltage accuracy requirements. NXP provides similar solutions using its PF5020 and PF5024 functional safety PMICs. eyeq4 datasheet

Mobileye developed multiple versions of the chip to support different vehicle capabilities: EyeQ4-High (EyeQ4H)

The EyeQ4 is designed to create a "safety cocoon" around the vehicle by processing multiple sensor inputs simultaneously. Multi-Camera Support: The "High" version can process information from up to simultaneously at 36 frames per second. Sensor Fusion: : Supports various interfaces for connecting to sensors

Support for vehicle detection from any angle and pedestrian/cyclist identification.

The EyeQ4's powerful processing underpins a comprehensive suite of driver-assistance features. Key specifications for the (using TI's LP875761A-Q1 PMIC)

To explore further technical specifications, layout integration notes, or software SDK documentation for this component, please let me know if you would like to look into:

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 foundational magic of the EyeQ4 datasheet lies in its highly heterogeneous, many-core computing architecture. Rather than relying on a power-hungry general-purpose GPU, Mobileye engineered a proprietary mix of general-purpose RISC processor cores and highly specialized hardware accelerators. 1. General-Purpose Compute Layer Mobileye EyeQ4 Vision Processor Family - Yole Group