The datasheet often references the necessity of Mobileye’s – a proprietary SDK. Important: The chip will not run arbitrary Linux or C++ code. It runs Mobileye’s closed software stack. Developers can add small accelerators via the Programmable Macro Array.
Yes, the EyeQ4 supports eight cameras, enabling comprehensive surround-view and multi-angle vehicle detection.
At its heart, the EyeQ4 is a heterogeneous many-core processor specifically designed for computer vision workloads. The table below summarizes its key hardware features.
The parallel processing capacity of the EyeQ4 allows vehicles to read and decipher multi-directional road scenes using advanced neural networks.
Rather than relying on a generalized GPU, Mobileye designed a . The datasheet maps hardware sub-blocks to highly distinct mathematical functions, maximizing performance per watt. eyeq4 datasheet
The datasheet clearly shows that EyeQ4 was the first Mobileye chip to offer – stitching together video from all eight cameras to create a 360-degree birds-eye view.
| Function | Benefit | |----------|---------| | 5–8 camera fusion | Reduces blind spots, enables 360° perception | | Hardware CNN engine | Runs semantic segmentation + object detection without choking the CPU | | Internal ISP + HDR | Works with 1 MP–8 MP sensors without external ISP |
The foundational design of the EyeQ4 shifts away from traditional graphics processors (GPUs) toward a highly tailored, heterogeneous computing layout. The chipset employs specialized hardware accelerators to handle pixel-level computer vision tasks, freeing up central processing units for system management and path planning.
: Features 4 CPU cores with 4 hardware threads each, integrated with Mobileye's proprietary Vector Microcode Processors (VMP). Performance The datasheet often references the necessity of Mobileye’s
This comprehensive technical article acts as an architectural deep-dive and functional datasheet guide for the EyeQ4 SoC, exploring its hardware layout, processing capabilities, and real-world deployment. 1. Executive Summary & Overview
Contains two PMA cores . A PMA acts as a Coarse-Grained Reconfigurable Architecture (CGRA) dataflow engine. It matches the compute density of a fixed-function hardware block without losing code programmability, running dense deep learning layers effortlessly.
Operates robust pedestrian, animal, and cyclist classification layers to power autonomous emergency braking (AEB) maneuvers at complex intersections. 5. Architectural Comparison: EyeQ3 vs. EyeQ4 vs. EyeQ5
: Implements 6 VMP cores . These function as Very Long Instruction Word (VLIW) and Single Instruction Multiple Data (SIMD) vector machines optimized for short integral datatypes common in vision algorithms and neural network operations. Developers can add small accelerators via the Programmable
Includes a 1Gb Ethernet port, multiple CAN ports (>1Mbps), UART, and I2C interfaces. Safety Rating: Designed according to ISO-26262 to provide safety levels. Advanced ADAS Capabilities What does all that silicon power actually do? The is designed to process information from up to eight cameras simultaneously
Pedestrians, cyclists, motorcyclists, and varying vehicle classes (cars, trucks, emergency vehicles). 6. Functional Safety & Cybersecurity
: Supports various interfaces for connecting to sensors (cameras, radar, lidar), and other components of the vehicle's system. It also includes support for high-bandwidth memory to handle the data-intensive tasks.
Mobileye developed multiple versions of the chip to support different vehicle capabilities: EyeQ4-High (EyeQ4H)
