The Ultimate Guide to the Mobileye EyeQ4: Architecture, Features, and Datasheet Specifications
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
A critical takeaway from the EyeQ4 specifications is its focus on functional safety eyeq4 datasheet
The EyeQ4 supports a wide range of L2 and L2+ autonomous features: ZF and Mobileye Safety Technology Chosen by Toyota
The reveals a processor meticulously engineered for the harsh, real-time, safety-critical environment of automotive perception. Its combination of 2.5 TOPS of deterministic vision performance, 8‑camera input, and ASIL B safety certification made it the dominant ADAS processor from 2018 to 2023. The Ultimate Guide to the Mobileye EyeQ4: Architecture,
For hardware engineers, system architects, and technical purchasers, accessing a detailed is critical. While the full datasheet is restricted under non-disclosure agreements (NDA) with Mobileye (now an Intel company), this article aggregates all publicly available technical specifications, functional blocks, electrical characteristics, and performance metrics to serve as a comprehensive reference.
| Parameter | Value | |-----------|-------| | Package Dimensions | 17 mm × 17 mm | | Ball pitch | 0.8 mm | | Ball count | 484 | | Junction-to-case thermal resistance (θjc) | 2.5 °C/W | | Maximum junction temperature (Tj) | 105°C (150°C for short transients) | Its combination of 2
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2 cores offering higher efficiency than standard CPUs and more versatility than a GPU. Programmable Macro Array
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