On Chip Vision System Architecture Using A Cmos Retina

• doi: 10.1109/IVS.2004.1336382
• title: On chip vision system architecture using a CMOS retina
• publisher: IEEE
• isbn: 0-7803-8310-9
• issn:
• partnum: 04TH8730
• rank: 3168
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper discusses design solution for integrating a complete vision system on a single chip. We describe the architecture and the implementation of a smart integrated retina based vision system dedicated for vehicles applications. The retina is a circuit that combines image acquisition and analog/digital processing operators allowing the achievement of real-time image processing. Interests of vision system integration are analysed through comparisons with conventional approaches using CCD cameras and a digital processor or CMOS sensors combined with wired algorithms on FPGA technology. Our solution takes the advantages of both these solutions.
• article_number: 1336382
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1336382
• html_url: https://ieeexplore.ieee.org/document/1336382/
• abstract_url: https://ieeexplore.ieee.org/document/1336382/
• publication_title: IEEE Intelligent Vehicles Symposium, 2004
• conference_location: Parma, Italy
• conference_dates: 14-17 June 2004
• publication_number: 9278
• is_number: 29469
• publication_year: 2004
• publication_date: 14-17 June 2004
• start_page: 206
• end_page: 211
• citing_paper_count: 7
• citing_patent_count: 0
• download_count: 125
• insert_date: 20041008
• index_terms:
  • ieee_terms:
    • System-on-a-chip
    • Machine vision
    • Retina
    • CMOS image sensors
    • Intelligent vehicles
    • Circuits
    • Image processing
    • Algorithm design and analysis
    • Charge coupled devices
    • Digital cameras
  • dynamic_index_terms:
    • Visual System
    • Image Processing
    • Image Acquisition
    • Single Chip
    • Exposure Time
    • Low Consumption
    • Focal Plane
    • Back Focal Plane
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Image Sensor
    • Camera Sensor
    • Edge Detection
    • Object Tracking
    • Machine Vision
    • Visual Navigation
    • Image Processing Algorithms
    • Low-level Processing
    • Lower-level Processes
    • Smart Sensors
    • Pixel Array
    • Processing Architecture
    • Group Of Pixels
    • Processing Circuit
    • ARM Processor
    • Advanced RISC Machine
    • Prototype-based
    • Image Processing Tasks
    • Image Processing Applications
• isbn_formats:
  • format: Print ISBN, value: 0-7803-8310-9, isbnType: Historical
• authors:
  • Author Name: A. Elouardi
    Affiliation: Fundamental Institute of Electronics, Orsay, France
    Author URL: https://ieeexplore.ieee.org/author/37274753600
    ID: 37274753600
    Order: 1
    Author Affiliations:
    • Fundamental Institute of Electronics, Orsay, France
  • Author Name: S. Bouaziz
    Affiliation: Fundamental Institute of Electronics, Orsay, France
    Author URL: https://ieeexplore.ieee.org/author/37274754800
    ID: 37274754800
    Order: 2
    Author Affiliations:
    • Fundamental Institute of Electronics, Orsay, France
  • Author Name: A. Dupret
    Affiliation: Fundamental Institute of Electronics, Orsay, France
    Author URL: https://ieeexplore.ieee.org/author/38330912600
    ID: 38330912600
    Order: 3
    Author Affiliations:
    • Fundamental Institute of Electronics, Orsay, France
  • Author Name: J.O. Klein
    Affiliation: Fundamental Institute of Electronics, Orsay, France
    Author URL: https://ieeexplore.ieee.org/author/37276514100
    ID: 37276514100
    Order: 4
    Author Affiliations:
    • Fundamental Institute of Electronics, Orsay, France
  • Author Name: R. Reynaud
    Affiliation: Fundamental Institute of Electronics, Orsay, France
    Author URL: https://ieeexplore.ieee.org/author/37274759500
    ID: 37274759500
    Order: 5
    Author Affiliations:
    • Fundamental Institute of Electronics, Orsay, France

Image Sensor

• sensor_type: CMOS
• resolution: 256x256 pixels
• dynamic_range: Not explicitly mentioned
• pixel_size: Not explicitly mentioned
• dark_current: Not explicitly mentioned

Optical Data

• focal_length: Not explicitly mentioned
• aperture: Not explicitly mentioned
• field_of_view: Not explicitly mentioned
• distortion: Not explicitly mentioned

Performance Metrics

• frame_rate: Video rate
• signal_to_noise_ratio: Not explicitly mentioned
• sensitivity: Not explicitly mentioned
• shutter_speed: Not explicitly mentioned
• power_consumption: Low power consumption characteristics mentioned, but not quantified
• noise: Not explicitly mentioned

Applications & Benefits

• cell_imaging: Developed for machine vision applications including image calibration, low-level image processing, and real-time decision making in intelligent vehicles.
• benefits: Integration of image sensors with processing units enhances performance, reduces noise, improves compactness, and achieves real-time processing capabilities.

Supporting Organizations

• supported_by: Fundamental Institute of Electronics, Orsay, France

Manuscript Details

• publication_date: 14-17 June 2004

Relevancy Score

• score: 10
• missing_fields:
  • quantum_efficiency
  • fill_factor
  • readout_speed
  • noise_sources
  • analog_to_digital_conversion
  • microlenses
  • on_chip_colour_filters
  • global_or_rolling_shutters
  • backside_illumination

Processed JSON Filename

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