Automotive Imaging ICs Keep An "Eye" On The Road

Dec. 1, 2008
In the quest to make driving more enjoyable and safer, designers are relying on the most advanced video sensors and processors for greater driver assistance and comfort (see “Semi ICs Drive Auto Safety And Control Innovation,” Electronic Desig

In the quest to make driving more enjoyable and safer, designers are relying on the most advanced video sensors and processors for greater driver assistance and comfort (see “Semi ICs Drive Auto Safety And Control Innovation,” Electronic Design, Oct. 9, 2008, p. 28). Intelligent video systems have proven essential, spurring on the need for the design and manufacture of cost-effective vision-system ICs.

As part of this trend, STMicroelectronics’ and Mobileye N.V.’s joint introduction of the second-generation EyeQ2 system- on-a-chip (SoC) 120-MHz processor marked an important milestone. The chip takes active automotive vision safety to new levels by increasing the processing power of the firstgeneration device sixfold. It features a theoretical equivalent computational power of an Intel Pentium IV processor with a 4-GHz clock rate (Fig. 1).

Now in production, the first-generation EyeQ1 boasts lanedeparture warning, traffic-sign recognition, collision avoidance through radar/camera sensor fusion, and forward collision warning. It’s manufactured on a 0.18-µm CMOS process. The second-generation EyeQ2 adds pedestrian detection and is manufactured on a 90-nm process. To optimize cost performance, all peripheral interfaces are integrated in to the EyeQ2 SoC, including dual controller-area network (CAN) controllers, dual universal asynchronous receiver-transmitters (UARTs), I2C, mobile dual-data-rate (DDR) synchronous RAM (SDRAM controller), parallel I/O, dual video image data capture, and video output units.

THE NEXT GENERATION The Mobileye EyeQ2’s architecture consists of two floating point, 64-bit RISC 34KMIPS CPUs, five parallel-processing vision computing engines, an 16-channel direct-memory-access (DMA) controller, and several peripherals. The MIPS34K CPU manages the five engines, three vector micro-code processors (VMPs) and the DMA, the second MIPS34K CPU and the multi-channel DMA as well as the other peripherals. The engines and CPU logic perform all of the intensive vision computations required by applications such as tracking and pattern classification.

The vision computing engines communicate over a highbandwidth multilayer matrix block via a common master port. A high-speed, 128-bit wide, 512-kbyte, on-chip SRAM is located on the matrix for fast image memory storage and retrieval. There’s also a separate 32-bit low-bandwidth peripheral bus that connects all of the various peripherals, including the CAN controllers.

A ONE-TWO PUNCH The EyeQ processors were co-developed as components for advanced driver-assistance system programs. They’re now supplemented with the VL5510 CMOS image sensor from STMicroelectronics, which is tailored specifically for the advanced driver-assistance systems segment (Fig. 2). Together with the EyeQ processors, STMicroelectronics delivers a “one-two” punch in pushing the performance envelope of automotive vision-based driver-assistance systems.

The VL550 sensor, manufactured on a 0.13-µm four-metallayer process, features an overall dynamic range of 140 dB (120 dB in-scene dynamic range) and a 1024- by 512-pixel monochrome format. This suits it for wide-angle products, which are common in the automotive field. The high dynamic response is fully programmable with 10 knee points available to tune pixel response. Pixels are a mere 5.6 by 5.6 µm. Maximum analog gain is +24 dB.

Performance features include very high sensitivity of 7.14 V/lux and very low dark current of 33 atoamps/pixel at 25°C. The sensor offers high quantum efficiency in the near-infrared light region. Operating temperature range is –40°C to 125°C.

The complete camera module readily connects to cameraenabled baseband processors. Video data is sent out over a 12-bit parallel interface and a high-speed serial compact camera port (CCP) serial link. The sensor features an I2C interface, an UART interface, and serial-parallel interface (SPI) control and master interfaces.

Also, it operates from 3.3 V ±10%, or 2.5 V ±10%, using low-voltage differential signaling (LVDS). Power dissipation is quite low at 150 mW while operating at the maximum frame rate of 34 frames/s and at the highest resolution, and a mere 15 µW in the standby mode. Functions include a 12-bit analog-to-digital converter (ADC), phase-locked loop (PLL), vertical-fixed pattern noise (VFPN) correction, defect detection capability, and a microcontroller for system-level flexibility. Also on-chip is anti dark-sun correction circuitry.

The VL5510 comes in bare die or an organic land-grid array (OLGA) package. Currently sampling, it will be mass-produced early next year. Pricing is expected to be in the range of $20 each for bare-die quantities of 10,000 pieces.

About the Author

Roger Allan

Roger Allan is an electronics journalism veteran, and served as Electronic Design's Executive Editor for 15 of those years. He has covered just about every technology beat from semiconductors, components, packaging and power devices, to communications, test and measurement, automotive electronics, robotics, medical electronics, military electronics, robotics, and industrial electronics. His specialties include MEMS and nanoelectronics technologies. He is a contributor to the McGraw Hill Annual Encyclopedia of Science and Technology. He is also a Life Senior Member of the IEEE and holds a BSEE from New York University's School of Engineering and Science. Roger has worked for major electronics magazines besides Electronic Design, including the IEEE Spectrum, Electronics, EDN, Electronic Products, and the British New Scientist. He also has working experience in the electronics industry as a design engineer in filters, power supplies and control systems.

After his retirement from Electronic Design Magazine, He has been extensively contributing articles for Penton’s Electronic Design, Power Electronics Technology, Energy Efficiency and Technology (EE&T) and Microwaves RF Magazine, covering all of the aforementioned electronics segments as well as energy efficiency, harvesting and related technologies. He has also contributed articles to other electronics technology magazines worldwide.

He is a “jack of all trades and a master in leading-edge technologies” like MEMS, nanolectronics, autonomous vehicles, artificial intelligence, military electronics, biometrics, implantable medical devices, and energy harvesting and related technologies.

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