Product category: Intellectual Property Cores
News Release from: ARM | Subject: ARM946E-S
Edited by the Electronicstalk Editorial Team on 14 January 2004
Core is pressed
to novel automotive applications
MobilEye, a leading developer of vision-based-intelligent transportation systems designed to enhance driver comfort, is using the ARM946E-S microprocessor core in its customisable SoCs
MobilEye, a leading developer of vision-based-intelligent transportation systems designed to enhance driver comfort, has licensed the ARM946E-S microprocessor core. The ARM technology will be integral to MobilEye's creation of customised SoC designs for real-time visual recognition and scene interpretation technologies.
This article was originally published on Electronicstalk on 14 January 2004 at 8.00am (UK)
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The ARM946E-S microprocessor core will power MobilEye SoCs designed for pattern recognition, image processing, optic flow, ego motion, vision range estimation and visibility condition applications.
The core's high level of performance enables computationally intensive applications, while its small chip area and low power requirements make it ideal for the embedded automotive market addressed by MobilEye.
"The ARM946E-S core is particularly well suited for innovative automotive technologies such as those being created by MobilEye", said Wayne Lyons, Automotive Segment Manager, ARM.
"The technology will facilitate the development of power efficient, single chip solutions that meet the performance needs of MobilEye's customers in the automotive industry and contribute to ARM's growing presence in this market sector".
As part of the agreement, MobilEye has also licensed the ARM Embedded Trace Macrocell (ETM9) solution for advanced SoC debug.
Further reading
Suite supports full Cortex processor family
Development suite provides performance improvements and tuning for ARM processor support, most notably by providing better optimisation for the full Cortex processor family
Automated flow speeds Cortex-A8 designs
Synopsys has announced the immediate availability of a fully automated implementation flow enabled by Synopsys IC Compiler for high-performance and low-power applications
Processor is first specifically for FPGAs
The ARM Cortex-M1 processor is the first ARM processor designed specifically for implementation on FPGAs
The Embedded Trace Macrocell solution will enable MobilEye to quickly and cost-effectively debug its ARM946E-S core-based solutions.
"The ARM industry leading microprocessor technology will enable MobilEye to meet the needs of our customers with cost-effective, low-power solutions that do not sacrifice performance", said Ziv Aviram, President and CEO, MobilEye.
"The ability to decrease the time-to-market of our solutions with developer tools such as the ARM Embedded Trace Macrocell module was also a key feature in our selection of ARM as a technology partner".
The MobilEye EyeQ SoC offers a solution for computationally intensive real-time visual recognition and scene interpretation.
The chip architecture is designed to maximise cost performance by performing a full-fledged image application, such as a low-cost adaptive cruise control using a single video source, on a single ultra low cost chip.
The system detects vehicles, motorcycle, pedestrians and road markings to provide an intelligent driver assistance system.
The EyeQ SoC is completely programmable, equipped with two ARM946E-S cores, to accommodate a wide range of visual processing applications beyond automotive applications.
In order to maximise total system cost performance, all peripheral circuits are integrated into the EyeQ SoC, including eight channels of DMA, five timers, dual CAN interfaces, UART, I2C controller, SDRAM controller, parallel I/O and two video interface units.
The EyeQ SoC will be manufactured using the TSMC CMOS 0.18-micron technology and will run at a 140MHz clock rate.
The product will be designed to comply with cabin-grade automotive qualification.
The complete vision system for driver assistance applications will consist of an EyeQ SoC processing unit and one or two CMOS video camera.
The system is compact enough to fit into a side mirror, while providing the computing power for real time processing of the most complex driver assistance applications.
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