Thanks to the SOI substrate and a highly optimized architecture, the EyeQ4 achieves ten times the processing power of the EyeQ3 while consuming only about 20% more power. It operates at an incredibly conservative thermal design power (TDP) of just , fitting seamlessly into the strict power envelope required by automotive ADAS cameras. Physical Specifications and Packaging
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Multiple controllers to interface directly with the vehicle's electronic control units (ECUs), enabling low-latency control commands (steering angle, braking, acceleration).
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 eyeq4 datasheet
: Includes 1× parallel video image preprocessing port for legacy sensor arrays or secondary inputs.
In summary, the Mobileye EyeQ4 system-on-chip is a powerful, purpose-built vision processor that strikes an exceptional balance between high-performance, low power consumption, and automotive-grade reliability. Its advanced heterogeneous architecture enabled a significant leap in ADAS capabilities, bridging the gap from basic Level 2 assistance to the dawn of Level 3 conditional automation. As a cornerstone of automotive safety technology, the EyeQ4 continues to represent a key milestone in the journey towards fully self-driving vehicles.
Mobileye EyeQ4 represents a pivotal bridge in the evolution of automotive technology, moving from simple driver assistance to high-level semi-autonomous driving. As a System-on-Chip (SoC) designed specifically for vision processing, its datasheet reveals a sophisticated architecture engineered to handle the chaotic, real-world environment of modern roads. The Architecture of Vision Thanks to the SOI substrate and a highly
The EyeQ4 datasheet highlights several key features that make this SoC an ideal solution for ADAS and autonomous driving applications. Some of the notable features include:
The EyeQ4 bridges this gap through its manufacturing process. The chipsets are developed by Mobileye and manufactured by STMicroelectronics using proprietary low-power technology.
: Employs 2 PMA cores , which behave as Coarse-Grained Reconfigurable Architectures (CGRA). They stream dense computer vision algorithms directly through dedicated hardware dataflows with minimum data latency. 2. Technical and Physical Specifications Includes Hazard Detection, Red Light Warning, and Stop
The Mobileye EyeQ4 is a 28nm FD-SOI, high-performance System-on-Chip (SoC) designed for camera-based Advanced Driver Assistance Systems (ADAS), delivering over 2.5 teraflops of processing power at 3W. Featuring six VMP cores, two MPC cores, and two PMA cores, it supports up to 8 simultaneous cameras for advanced computer vision and autonomous emergency braking. For more details, visit Mobileye .
: 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.
The EyeQ4 was engineered to meet the aggressive requirements of and to act as the primary processor for Level 2 and Level 2+ automated driving systems. It handles complex, computationally intense computer vision workloads, processing feeds from up to eight cameras simultaneously . Core Technical Metrics
| Part Number | Description | Temperature Range | |-------------|-------------|-------------------| | EYQ4-C-AA | Commercial sample, AEC-Q100 Grade 2 | -40°C to +105°C | | EYQ4-P-AE | Pre-production engineering | 0°C to +85°C | | EYQ4-V-22QMY | Automotive qualified, 22nm variant (rare) | -40°C to +105°C |
Realistic / Netset PRO-44![]() From the inside, the Realistic PRO-44 is almost identical to the Realistic PRO-62. For further information, please refer to that scanner. PRO-44
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