Overview
The EyeQ4 is a high-performance, low-power SoC that enables advanced driver-assistance systems (ADAS) and autonomous driving applications. It is designed to process multiple sensor inputs, including cameras, radar, and lidar, and provide a comprehensive view of the environment.
Key Features
Technical Specifications
Applications
Conclusion
The EyeQ4 is a powerful and feature-rich SoC that is well-suited for autonomous driving and ADAS applications. Its high-performance processing, advanced computer vision, and machine learning capabilities make it an attractive solution for developers of autonomous vehicles.
Rating: 4.5/5
Pros:
Cons:
Note that this review is based on the datasheet and may not reflect the actual performance of the EyeQ4 in real-world applications.
The Mobileye EyeQ4 is a high-performance vision system-on-chip (SoC) designed for Advanced Driver Assistance Systems (ADAS) and semi-autonomous driving. It provides approximately 2.5 teraflops of processing power while maintaining a low-power automotive-grade envelope of roughly 3W. Technical Specifications Summary
The EyeQ4 architecture is based on a heterogeneous computing model that assigns specific tasks to specialized cores for maximum efficiency. Feature Specification Details Processor Cores
4x multi-threaded 64-bit RISC MIPS CPUs (4 hardware threads each) Vision Accelerators
6x Vector Microcode Processors (VMP), 2x Multithreaded Processing Clusters (MPC), 2x Programmable Macro Arrays (PMA) Compute Power >2.5 Teraflops (or 2.5 TOPS depending on variant) Power Consumption ~3 Watts (up to 5W in some high-load configurations) Process Node
28nm Fully Depleted Silicon On Insulator (FD-SOI) by STMicroelectronics Camera Support Up to 8 cameras simultaneously at 36 FPS Safety Standard ISO 26262 compliant with ASIL-B(D) safety level Packaging Flip-Chip FBGA 784-pin; 22.5 x 22.5 x 1.7 mm EyeQ4 Variant Differences
Mobileye developed multiple versions of the chip to support different vehicle capabilities: EyeQ4-High (EyeQ4H)
: The most capable version, supporting trifocal front-sensing, surround-view systems (4 cameras), and sensor fusion with radar and laser scanners. EyeQ4-Medium (EyeQ4M)
: A cost-optimized variant with a subset of cores, typically used for monocular or trifocal camera configurations in standard ADAS applications. Key Interfaces and Connectivity
According to the EyeQ4 Product Brief, the chip includes the following I/O: Memory: Dual 32-bit LPDDR4 SDRAM interfaces at 1.6GHz. Network: 1Gb Ethernet port.
Video Input: 4x MIPI CSI-2 Rx serial video ports and 1x parallel video port. eyeq4 datasheet
Automotive Buses: 3x CAN ports (>1Mbps), 3x UART, 3x I2C, and 4x SPI interfaces. Documentation and Resources Mobileye EyeQ4 Vision Processor Family - Yole Group
The Mobileye EyeQ4 is a high-performance vision processor (SoC) designed specifically for advanced driver-assistance systems (ADAS) and autonomous driving. Launched in 2018, it represented a significant jump in performance, offering roughly ten times the processing capability of its predecessor, the EyeQ3. Key Technical Specifications
The EyeQ4 architecture is built for "super-computer" capabilities within a low-power automotive-grade package. Performance: Capable of more than 2.5 Teraflops (2.5 TOPS).
Power Consumption: Extremely efficient, typically consuming only 3 watts.
Manufacturing Process: Developed by Mobileye and manufactured by STMicroelectronics using 28nm FD-SOI (Fully Depleted Silicon On Insulator) technology, which helps maintain low power consumption despite high performance.
Safety Rating: Designed to meet ISO-26262 standards with a safety level of ASIL-B(D).
Camera Support: Can process information from up to 8 cameras simultaneously at 36 frames per second (fps). Architecture & Hardware Cores
The EyeQ4-High variant features a diverse array of 14 computing cores designed to handle specific vision tasks efficiently: Description MIPS CPUs
Four multi-threaded MIPS processor cores (often InterAptiv) for general data management and control. VMP Cores
Six Vector Microcode Processors for dedicated image processing tasks. MPC Cores
Two Multithreaded Processing Cluster cores, more versatile and efficient than standard GPUs for automotive tasks. PMA Cores
Two Programmable Macro Array cores, providing high compute density for fixed-function hardware acceleration. Core Capabilities
The EyeQ4 was engineered to support a "safety cocoon" around the vehicle, enabling features essential for semi-autonomous and autonomous driving: The Evolution of EyeQ - Mobileye
The Mobileye EyeQ4 is a high-performance vision processor designed for Advanced Driver Assistance Systems (ADAS) and autonomous driving, offering a massive leap in processing power over its predecessors. Key Technical Specifications Performance: 2.5 Tera Operations Per Second (TOPS).
Efficiency: 10x more powerful than EyeQ3 with only a 20% increase in power consumption. Architecture:
Manufactured using 28nm FD-SOI technology by STMicroelectronics.
Features 14 computing cores, including specialized vector accelerators. Integrates four multi-threaded MIPS InterAptiv cores.
Camera Support: Capable of processing up to 10 cameras simultaneously at 36 frames per second. "Interesting" Breakthroughs & Capabilities
High Utilization: Achieves a 96% utilization rate, which is significantly higher than most general-purpose GPUs.
Complex Recognition: Supports "any-angle" vehicle detection and next-generation lane detection. Overview The EyeQ4 is a high-performance, low-power SoC
Scalability: Used in configurations ranging from a single "Mono" camera for collision avoidance to "Tricam" setups for semi-autonomous driving.
Safety Standards: Designed for compliance with EU NCAP and US NHTSA regulatory requirements.
Market Impact: By 2018, it was already launched in 78 different vehicle models from 16 major manufacturers like BMW, Nissan, and GM.
💡 Pro-Tip: For specific implementation, designers often pair the EyeQ4 with a dedicated power management unit like the TI LP875761-Q1 to handle the SoC's core rail requirements.
If you'd like to dive deeper, would you prefer details on the programming architecture or its role in specific car models?
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):
Six cores (in the "High" version) optimized for computer vision and deep learning tasks. MPC (Multi-threaded Processing Cluster): Two cores more versatile than traditional GPUs. PMA (Programmable Macro Array):
Two cores providing compute density similar to fixed-function hardware. Functional Capabilities
The EyeQ4 is designed to create a "safety cocoon" around the vehicle by processing multiple sensor inputs simultaneously. Multi-Camera Support: The "High" version can process information from up to simultaneously at 36 frames per second. Sensor Fusion:
Supports inputs from trifocal front cameras, surround-view systems, long-range rear cameras, radars, and scanning beam lasers. Advanced Features: Deep Learning:
Utilizes cutting-edge computer vision algorithms like Deep Layered Networks. 3D Detection: First to introduce 3D vehicle and motorbike detection. Environmental Mapping:
Supports Road Experience Management (REM) for high-definition mapping harvesting. Safety Alerts:
Includes Hazard Detection, Red Light Warning, and Stop Sign/No Entry warnings. Variants & Compliance Scalability: Available in multiple versions, including EyeQ4-High (full autonomous capability) and
(subset of cores for select functions), allowing carmakers to scale hardware solutions. Safety Standard: Developed according to the standard, providing a safety level of Market Presence: Integrated into vehicles from major OEMs such as , Ford, General Motors, Nissan, and Volvo. generations?
The Mobileye EyeQ4 is a high-performance vision processor designed by Mobileye and manufactured by STMicroelectronics. It is engineered for Advanced Driver Assistance Systems (ADAS) and autonomous driving, offering a significant leap in efficiency and power over its predecessors. Key Technical Specifications
Architecture: Built on 28nm FD-SOI (Fully Depleted Silicon On Insulator) technology, which allows for low power consumption while maintaining high performance.
Processing Power: Capable of 2.5 Teraflops (TFLOPS) of performance. It is approximately 10 times more powerful than the EyeQ3.
Power Consumption: Extremely efficient, operating within a budget of approximately 3 Watts. Core Configuration: 4 multi-threaded MIPS InterAptiv CPU cores.
6 Vector Microcode Processor (VMP) cores for computer vision tasks. 2 Multithreaded Processing Cluster (MPC) cores. 2 Programmable Macro Array (PMA) cores.
Camera Support: Can process information from up to 8 cameras simultaneously at 36 frames per second (fps). EyeQ4 Variants Technical Specifications
Mobileye developed different tiers of the chip to meet various automotive needs:
Basic: Focused on monocular processing for standard collision avoidance.
EyeQ4M (Mid): Supports trifocal camera configurations for high-end functions like semi-autonomous driving.
EyeQ4H (High): The most capable version, supporting sensor fusion with radars and scanning-beam lasers. Applications & Industry Use
Safety Features: Powers technologies like Autonomous Emergency Braking (AEB), next-generation lane detection, and vehicle detection from any angle.
Mapping: Supports Mobileye's Road Experience Management (REM) for high-definition mapping and localization.
OEM Partnerships: Used by major manufacturers including BMW, Nissan, Honda, and General Motors.
For specialized engineering documentation, Texas Instruments provides technical guides on power management solutions specifically for the EyeQ4 Mid and High SoC.
The Mobileye EyeQ4 is a high-performance System-on-Chip (SoC) designed for Advanced Driver Assistance Systems (ADAS) and autonomous driving
. Launched in 2018, it offers approximately 10 times the processing power of its predecessor, the EyeQ3, while maintaining high energy efficiency. Yole Group Core Technical Specifications Architecture
: Features 4 CPU cores with 4 hardware threads each, integrated with Mobileye's proprietary Vector Microcode Processors (VMP). Performance
: Capable of over 2.5 Teraflops (TFLOPS) of processing power. Power Consumption : Highly efficient, typically consuming only Manufacturing Process : Built using 28nm FD-SOI
(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
: Capability for vehicle detection from any angle, next-generation lane detection, and traffic light detection. Mapping & Localization : Supports Road Experience Management (REM™) for real-time crowd-sourced mapping. Safety Applications
: Powers critical functions such as Autonomous Emergency Braking (AEB), Pedestrian AEB, and Forward Collision Warning (FCW). Driving Policy
: Includes support for complex path planning and "Driving Policy" to manage vehicle behavior in traffic. Yole Group Product Variants EyeQ4-High
: The premium version capable of processing multiple cameras (up to 8) for 360-degree surround-view and semi-autonomous functions.
: A mid-range version typically used for mono-camera systems, such as the ZF S-Cam4 family. Yole Group Automotive Integration
The EyeQ4 has been widely adopted by major global automotive manufacturers, including: General Motors Yole Group For detailed power supply designs involving this chip, Texas Instruments
[8x Camera Inputs] → [ISP / Image Preprocessor] → [CNN Accelerator] → [Vector Cores] → [Fusion & Decision]
↓ ↓ ↓
[SRAM 2.5MB] [Safety CPU (lockstep)] [External LPDDR4]
| Feature | EyeQ3 | EyeQ4 | EyeQ5 | |---------|-------|-------|-------| | Process node | 40nm | 28nm FD-SOI | 7nm FinFET | | TOPS | 0.256 | 2.5 | 24 | | Cameras supported | 1-2 | Up to 8 | Up to 16 | | ASIL level | B | B (D for safety path) | B/D | | Production start | 2014 | 2018 | 2021 |
| Part Number | Description | |------------------|------------------------------------| | EYQ4-8C2-1 | EyeQ4, 8GB LPDDR4, industrial temp | | EYQ4-4C1-A | EyeQ4, 4GB LPDDR4, automotive temp | (Note: Check official pricing/ordering with Intel/Mobileye representatives)