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
The architectural advancements translate directly into high real-world performance.
Q: What are the key features of the EyeQ4 datasheet? A: The EyeQ4 datasheet highlights the SoC's high-performance processing, artificial intelligence, computer vision, sensor support, and interfaces. eyeq4 datasheet
| Parameter | Value | |--------------------------|----------------------------------| | Supply Voltage (core) | 0.9 V – 1.1 V | | I/O Voltage | 1.8 V / 3.3 V (configurable) | | Typical Power (TDP) | 3 W – 5 W (operational) | | Max Power | ~8 W (peak) | | Package Type | FCBGA (Flip-Chip Ball Grid Array)| | Operating Temp (junction)| -40°C to +125°C | | Interfaces | MIPI CSI-2, CAN, FlexRay, Automotive Ethernet, I2C, SPI, GPIOs, PCIe |
The datasheet recommends a 4-layer PCB with at least 6 thermal vias under the exposed die pad for conduction to chassis ground. The EyeQ4 has been widely adopted by major
is a high-performance System-on-Chip (SoC) designed for Advanced Driver Assistance Systems (ADAS) and autonomous driving. Manufactured by STMicroelectronics using 28nm FD-SOI technology, it provides 10x the processing power of its predecessor, the EyeQ3, while maintaining a low power envelope.
: Optimized for computer vision tasks, with support for a wide range of algorithms used in ADAS and autonomous driving, such as detection, tracking, and scene understanding. : Optimized for computer vision tasks, with support
: 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.
Q: What are the applications of the EyeQ4 SoC? A: The EyeQ4 SoC can be used in various applications, including autonomous driving, advanced driver-assistance systems (ADAS), industrial applications, and consumer applications.
Inside the EyeQ4: The "Supercomputer" Driving Your Next Car Mobileye EyeQ4