Functional Safety and Automotive Qualification
This datasheet is a summarized reference. For complete electrical characteristics, timing diagrams, register maps, and safety manual, refer to the official EyeQ4 Datasheet (Document #: EYQ4-DS-001) from Mobileye / Intel Corporation. All specifications subject to change without notice.
Efficiently fuses data from optical sensors with radar and scanning-beam lasers. Physical and Electrical Characteristics
: It's built on a multi-core architecture, typically including several high-performance CPU cores and a large number of specialized cores for parallel processing, such as the SHAVE (Software Hardware Advanced Vector Engines) cores. eyeq4 datasheet
: Focused on monocular processing for standard collision avoidance.
The combination of general-purpose CPUs and purpose-built accelerators allows the EyeQ4 to achieve a , which represents a ten-fold increase over its predecessor, the EyeQ3 . This massive leap in capability is what enabled new, more advanced ADAS features.
Two cores specializing in computer vision algorithms. Efficiently fuses data from optical sensors with radar
Manufacturing the chip on STMicroelectronics' 28nm FD-SOI process node gives the EyeQ4 a substantial performance-per-watt advantage. By leveraging the specialized Silicon-On-Insulator substrate, the EyeQ4 provides while drawing only 20% more power. 3. Peripheral Interfaces & System I/O
A CGRA dataflow machine providing compute density similar to fixed-function hardware while remaining programmable. Product Variants: High vs. Mid The Evolution of EyeQ - Mobileye
The automotive industry's rapid shift towards Advanced Driver Assistance Systems (ADAS) and autonomous driving requires immensely powerful, efficient, and reliable computer vision processing. At the heart of this revolution is the . their policies apply.
A subset version tailored for mid-range ADAS. It integrates fewer cores (e.g., three MIPS cores and four VMP cores) and is typically used in single-camera or trifocal configurations.
: Employs 2 PMA cores , which behave as Coarse-Grained Reconfigurable Architectures (CGRA). They stream dense computer vision algorithms directly through dedicated hardware dataflows with minimum data latency. 2. Technical and Physical Specifications
As a component designed for the demanding automotive environment, the EyeQ4 is built to exacting standards.
Unlike general-purpose CPUs or graphics-heavy GPUs, the EyeQ4 utilizes a highly specialized, heterogeneous architecture. It balances programmable compute cores with dedicated hardware accelerators to maximize efficiency. Heterogeneous Compute Blocks
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