Eyeq4 Datasheet 【LATEST · FIX】

The EyeQ4 is a milestone in Mobileye's processor lineup. Introduced in 2015 and mass-produced in 2018, it was engineered to bridge the gap between advanced driver assistance (ADAS) and full autonomy (L3). A key innovation is its heterogeneous computing architecture, which combines multiple specialized processor types to maximize visual data processing efficiency while keeping power consumption minimal.

The EyeQ4 is frequently chosen by major automotive Tier-1 suppliers and OEMs for its safety-critical capabilities.

+-------------------------------------------------------------+ | Mobileye EyeQ4 Software Stack | +-------------------------------------------------------------+ | [Application Layer] REM (Mapping) / RSS (Safety Policy) | +-------------------------------------------------------------+ | [Perception Layer] Vehicle, Pedestrian, Lane, Sign Detect | +-------------------------------------------------------------+ | [Framework Layer] Deep Learning / Sparse Models Core | +-------------------------------------------------------------+ | [OS / Hardware] RTOS / ASIL Functional Safety Firmware | +-------------------------------------------------------------+ Road Experience Management (REM)

The EyeQ4 datasheet provides an in-depth look at the SoC's architecture, features, and specifications. Here are some key highlights: eyeq4 datasheet

: Specialized hardware blocks optimized for matrix multiplication, significantly accelerating Deep Neural Networks (DNNs) and Convolutional Neural Networks (CNNs). 3. Technical Specifications Specification Details Peak Performance 2.5 TOPS (Trillion Operations Per Second) Power Consumption 3W to 5W (Typical, depending on workload) Process Node 28nm FinFET technology CPU Architecture 4x MIPS I6500 (Multi-threaded, multi-core) Memory Support LPDDR4 / LPDDR4X (Up to 32-bit data bus wide) Video Input Multiple MIPI CSI-2 interfaces (supporting up to 8 cameras) Automotive Safety ASIL-B / ASIL-D compliant design elements 4. Input/Output (I/O) & Connectivity Interfaces

The Mobileye EyeQ4 is a high-performance vision system-on-chip (SoC) designed for Advanced Driver Assistance Systems (ADAS) and semi-autonomous driving . It provides approximately 2.5 teraflops of processing power while maintaining a low-power automotive-grade envelope of roughly 3W. Technical Specifications Summary

In the rapidly evolving landscape of autonomous driving, the brain behind the perception system is just as critical as the sensors themselves. For over a decade, Mobileye (an Intel company) has dominated the market for vision-based advanced driver-assistance systems (ADAS). Among their most successful and widely deployed products is the . The EyeQ4 is a milestone in Mobileye's processor lineup

The is a highly advanced, application-specific system-on-chip (SoC) designed by Mobileye and manufactured by STMicroelectronics to power Level 2 and Level 2+ Advanced Driver Assistance Systems (ADAS) . Fabricated using a specialized 28nm Fully Depleted Silicon-on-Insulator (FD-SOI) process, the EyeQ4 delivers an impressive 2.5 Teraflops (or 2.5 TOPS) of processing power while drawing a meager 3 to 5 Watts . This extreme efficiency allows it to process up to eight high-resolution automotive cameras simultaneously at 36 frames per second, making it a foundational component for modern collision avoidance, lane keeping, and adaptive cruise control systems worldwide. Architectural Breakdown

The EyeQ4 datasheet provides a comprehensive overview of Mobileye's latest SoC for ADAS and autonomous driving applications. With its powerful processing capabilities, large memory capacity, and support for a range of sensors and software frameworks, the EyeQ4 is well-suited for demanding applications like computer vision, machine learning, and autonomous driving. As the automotive industry continues to evolve towards more advanced driver-assistance systems and autonomous vehicles, the EyeQ4 is poised to play a key role in enabling these technologies.

The EyeQ4 is designed to run Mobileye’s proprietary software stack, which includes state-of-the-art perception algorithms: The EyeQ4 is frequently chosen by major automotive

For hardware engineers, system integrators, and automotive developers, the is the foundational document. It provides the electrical specifications, thermal limits, pinout diagrams, and performance benchmarks necessary to integrate this powerful SoC into an Electronic Control Unit (ECU).

Inside the EyeQ4: The "Supercomputer" Driving Your Next Car Mobileye EyeQ4