Mobileye N.V. Introduces Mobileye SeeQ® Single Board Automotive Vision System - Stand-alone Camera & Vision Processing
Published February 28th, 2008
Mobileye’s SeeQ® offers a compact and powerful processing platform for computationally intensive real time visual recognition and scene interpretation applications.
The highly integrated SeeQ board includes the Mobileye EyeQâ„¢, a powerful vision processor, a High Dynamic Range CMOS image sensor, Flash and SDRAM memories and all the additional components required for a stand alone vision system: CAN and GPIO interfaces, protected power supply and expansion connector. The SeeQ’s compact dimensions (33mmx65mm) allow integration into vehicle trimmings such as the rear-view mirror base or inside the side-view mirror housing.
The SeeQ® board is based on Mobileye’s EyeQâ„¢ vision system on a chip (VSoC) that runs Mobileye’s range of driver assistance applications. The Moblileye EyeQâ„¢ capabilities include lane detection, road geometry estimation and vehicle detection. Mobileye’s unique monocular vision algorithms provide target classification and measurement of range, relative speed, azimuth, and time-to-contact.
The SeeQ® board also serves as the processing platform for Mobileye’s Advance Warning System (AWS) product. The Mobileye-AWS system includes the forward collision warning, headway monitoring and warning, and lane departure warning features as well as optional Mobileye Event Data Recording (MEDR) capabilities. The main purpose of Mobileye AWS is to alert the driver and increase awareness to dangerous situations during driving.
Highlights:
• Compact platform for computationally intensive real time visual recognition
• Mobileye’s EyeQâ„¢ vision system on a chip (VSoC)
• 110 dB High Dynamic Range CMOS VGA Image Sensor
• Interface to the car signals
• Meets automotive in-cabin qualification requirements
• Low power consumption
• Built-in CAN 2.0A/B channel
• Highly integrated / small size
High Dynamic Range Camera
The SeeQ® on-board camera is designed to work in a wide range of challenging lighting situations such as low sun, and fast transitions between dark and bright scenes such as tunnel entry and exit. The camera is based on the Kodak KAC-9619 high dynamic range CMOS Image sensor. An advanced context-based Automatic Gain Control program allows optimal utilization of the sensor’s dynamic range. The camera captures up to 30 FPS monochromatic 12-bit images at 640 x 480 pixel resolution. The standard 3-element glass lens offers a horizontal field-of-view of 40 degrees.
CAN 2.0A/B channel for interface with other AWS modules
The SeeQ® includes a Bosch CAN 2.0A/B channel at a rate of up to 1Mbps. The CAN channel can be used for receiving vehicle data (speed, status of turn and brake signals and shut-off command) as well as for communicating with an HMI module that generates visual and audio warning signals such as for collision and lane departure warnings (e.g. the Mobileye AWS display and control module).
GPIO signals
The SeeQ® has four input and three I/O signals that can be used for various functions. An additional on-off input powers the unit only when the car engine is running. The output signals can be used to turn on an external buzzer or warning LED. The input signals can be used as an alternative to the CAN for receiving vehicle data.
Compliance with safety and EMI standards: The SeeQ® is certified by CE, UL and CSA certification laboratories.
Applications
The SeeQ® supports Mobileye’s Advance Warning (AWS) sytstem that includes lane departure warning, forward collision warning and headway monitoring and warning and can also support Mobileye’s entire range of vision applications.
Optional expansion modules
Mobileye AWS Display unit for driver interaction and audio-visual representation of the warning generated by the SeeQ. SeeQNet - a plug-in board for sending image and driving data over a TCP/IP protocol bus to a remote computer for Event Data Recording. SeeQLog - a plug-in board with on-board memory for logging image and driving data and with USB2.0 port for download to remote computer for Event Data Recording.
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