Eyeq4 Datasheet

Serving as the computational engine behind Level 2 and Level 3 autonomous driving functions in millions of vehicles, the EyeQ4 delivers a massive leap in processing capabilities compared to its predecessors without sacrificing the strict power efficiency required for automotive environments.

: Qualified for Grade 2 or Grade 1 automotive temperature ranges, ensuring stable operation under extreme thermal conditions (-40°C to up to 105°C/125°C ambient).

details (BGA layout) Power sequencing and voltage rail requirements

Designed to meet ISO-26262 standards with a safety level of ASIL-B(D) . eyeq4 datasheet

Efficiently fuses data from optical sensors with radar and scanning-beam lasers. Physical and Electrical Characteristics

Note: The datasheet explicitly states that third-party CUDA or OpenCL code is not supported.

The EYEQ4 is suitable for various camera applications, including: Serving as the computational engine behind Level 2

, which offer significantly higher TOPS for Level 4/5 autonomy. Closed System

: Capable of full environmental modeling and holistic path planning. : Supports Mobileye's Road Experience Management (REM) for crowd-sourced high-definition mapping. Safety Features

The chip incorporates . The PMA provides compute density similar to fixed-function hardware but retains software programmability. It acts as an accelerator for deep learning layers, particularly pooling, convolutions, and fully connected layers found in modern Deep Neural Networks (DNNs). Multi-Threaded Processing Cores (MPC) Efficiently fuses data from optical sensors with radar

The EyeQ4 operates on a very efficient 3W envelope, ideal for automotive requirements.

Optimized for entry-level NCAP compliance and basic collision avoidance features. Key Features and Applications