Eyeq4 Datasheet -

The EyeQ4 architecture is built for "super-computer" capabilities within a low-power automotive-grade package. Capable of more than 2.5 Teraflops (2.5 TOPS).

The EyeQ4, combined with ZF’s mid-range radar, is used to optimize lateral and longitudinal control in Toyota vehicles. 5. Conclusion: The Legacy of EyeQ4

The capabilities of the EyeQ4 have made it a popular choice for automakers looking to enhance both safety and driving comfort. It serves as the central vision processor for a wide range of ADAS functions, as demonstrated by its implementation in vehicles like the NIO ES8, the Ford Bronco and F-150, and the third-generation Haval H6. Key applications include: eyeq4 datasheet

(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

Autonomous vehicles rely on a diverse array of sensors. The EyeQ4 serves as a centralized or regional sensor fusion hub through a robust peripheral interface array: and neural-network workloads

The EyeQ4 is a family of system-on-chip (SoC) processors developed for automotive vision applications, designed to meet the demands of advanced driver-assistance systems (ADAS) and the scaling requirements of automated driving. Built to process high-resolution camera inputs with low latency and to run complex perception, sensor-fusion, and neural-network workloads, EyeQ4 represents a generation of automotive-grade vision accelerators that bridge camera sensors and higher-level vehicle behavior.

Details regarding the and compiler tools the Ford Bronco and F-150

4x multi-threaded 64-bit RISC MIPS CPUs (4 hardware threads each)

Mobileye EyeQ4 is a high-performance System-on-Chip (SoC) designed for vision-based Advanced Driver Assistance Systems (ADAS) and semi-autonomous driving. Launched as a significant leap over its predecessor, the EyeQ3, it provides the computational "super-computer" power required for complex environmental modeling while maintaining strict automotive power efficiency. Core Specifications & Architecture Performance: Delivers over 2.5 Teraflops (2.5 TOPS) of compute power. Power Consumption: Highly efficient, typically consuming only Process Technology: Manufactured using STMicroelectronics' 28nm FD-SOI (Fully Depleted Silicon-on-Insulator) process. Heterogeneous Processor Mix: Four multi-threaded MIPS processor cores. VMP (Vector Microcode Processors):

The computing power of the EyeQ4 is not just theoretical; it translates directly into advanced safety and autonomous features on the road. The processor was specifically designed to execute Mobileye's , which aggregates crowd-sourced mapping data to build a high-definition global map for autonomous vehicles. Key real-world functionalities driven by the EyeQ4 include:

While the EyeQ4 remains a staple for Level 2+ and tri-cam front-facing ADAS applications, Mobileye has continued to evolve its product line. For even more advanced autonomous use cases (Level 3 to Level 5), the ecosystem has expanded to include higher-tier processors.