Eyeq4 Datasheet -

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):

  • Processing Power: The EyeQ4 features a heterogeneous, multi-core architecture with a combination of CPU, GPU, and specialized cores for computer vision and machine learning tasks. This enables the SoC to deliver up to 2.5 TOPS (tera-operations per second) of processing power, making it suitable for demanding ADAS and autonomous driving applications.
  • Memory: The EyeQ4 has a large memory capacity, with up to 16 GB of LPDDR4 RAM and 128 GB of eMMC storage. This provides ample memory for running complex algorithms and storing data from various sensors.
  • Sensor Support: The SoC supports a wide range of sensors, including cameras, radar, lidar, and ultrasonic sensors, allowing for comprehensive environmental perception and situational awareness.
  • Software: The EyeQ4 is designed to run on Mobileye's proprietary software stack, which includes a range of tools and libraries for computer vision, machine learning, and autonomous driving applications.

Overview

Safety Features: Powers technologies like Autonomous Emergency Braking (AEB), next-generation lane detection, and vehicle detection from any angle. eyeq4 datasheet

is built on a 28nm Fully Depleted Silicon On Insulator (FD-SOI) process, which is critical for maintaining high performance with a low power envelope of approximately 3 watts. -High Specifications Compute Performance ~2.5 Teraflops (1.26 Billion MAC/s) CPU Cores Processing Power : The EyeQ4 features a heterogeneous,

Limitations and Challenges

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