Motion Vision Sensor Architecture With Asynchronous Selfsignaling Pixels

• doi: 10.1109/CAMP.1997.631903
• title: Motion vision sensor architecture with asynchronous self-signaling pixels
• publisher: IEEE
• isbn: 0-8186-7987-5
• issn:
• partnum: 97TB100198
• rank: 3056
• access_type: LOCKED
• content_type: Conferences
• abstract: A custom CMOS imager with integrated motion computation is described. The architecture is based on correlating in time moving edges. Edges are located in time by a custom sensor; and correlated in a coprocessing module. The sensor architecture is centered around a compact pixel with analog signal processing and digital self-signaling capabilities. The sensor pixels detect moving edges in the image and communicate their position using an address-event protocol associated to temporal stamps. The coprocessing module correlates the edges and computes the velocity vector map. The motion sensor could be used in applications such as self-guided vehicles, mobile robotics and smart surveillance systems. The article details the motion sensor architecture, the simulated performance, the VLSI implementation and some preliminary results on fabricated prototypes.
• article_number: 631903
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=631903
• html_url: https://ieeexplore.ieee.org/document/631903/
• abstract_url: https://ieeexplore.ieee.org/document/631903/
• publication_title: Proceedings Fourth IEEE International Workshop on Computer Architecture for Machine Perception. CAMP'97
• conference_location: Cambridge, MA, USA
• conference_dates: 20-22 Oct. 1997
• publication_number: 4997
• is_number: 13717
• publication_year: 1997
• publication_date: 20-22 Oct. 1997
• start_page: 75
• end_page: 83
• citing_paper_count: 9
• citing_patent_count: 0
• download_count: 102
• insert_date: 20020806
• index_terms:
  • ieee_terms:
    • Image edge detection
    • Computer architecture
    • Intelligent sensors
    • CMOS image sensors
    • Digital signal processing
    • Image sensors
    • Pixel
    • Protocols
    • Sensor systems and applications
    • Intelligent vehicles
  • dynamic_index_terms:
    • Motion Detection
    • Motion Sensors
    • Time Difference
    • Circuitry
    • Maximum Velocity
    • Terminal Velocity
    • Arbitration
    • Communication Process
    • Velocity Vector
    • Measurement Period
    • Communication Protocol
    • Network Protocol
    • Transmission Protocol
    • Time Stamp
    • Pixel Level
    • Pixel Coordinates
    • Motion Estimation
    • Illumination Changes
    • Minimum Velocity
    • Digital Modulation
    • Analog Computing
    • Analogous Calculations
    • RAM Memory
    • Velocity Modulation
    • Silicon Area
    • Static Random Access Memory
    • Asynchronous Communication
    • Digital Domain
    • Memory Cells
    • Pixel Array
    • Maximum And Minimum
    • Extremal
    • Extreme Values
    • Stationary Point
    • Motion Events
    • Image Edge
    • Time Step
    • Low Precision
• isbn_formats:
  • format: Print ISBN, value: 0-8186-7987-5, isbnType: Historical
• authors:
  • Author Name: M. Arias-Estrada
    Affiliation: Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering, Laval University, QUE, Canada
    Author URL: https://ieeexplore.ieee.org/author/38272510500
    ID: 38272510500
    Order: 1
    Author Affiliations:
    • Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering, Laval University, QUE, Canada
  • Author Name: D. Poussart
    Affiliation: Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering, Laval University, QUE, Canada
    Author URL: https://ieeexplore.ieee.org/author/37298367600
    ID: 37298367600
    Order: 2
    Author Affiliations:
    • Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering, Laval University, QUE, Canada
  • Author Name: M. Tremblay
    Affiliation: HexaVision Technologies, Inc., Sainte-Foy, QUE, Canada
    Author URL: https://ieeexplore.ieee.org/author/37343368800
    ID: 37343368800
    Order: 3
    Author Affiliations:
    • HexaVision Technologies, Inc., Sainte-Foy, QUE, Canada

Image Sensor

• sensor_type: CMOS
• resolution: 48x48 pixels
• dynamic_range:
• pixel_size: 100x100 microns
• dark_current:

Optical Data

• focal_length:
• aperture:
• field_of_view:
• distortion:

Performance Metrics

• frame_rate:
• signal_to_noise_ratio:
• sensitivity:
• shutter_speed:
• power_consumption:
• noise:

Applications & Benefits

• cell_imaging:
• benefits: The sensor could be used in applications such as self-guided vehicles, mobile robotics, and smart surveillance systems.

Supporting Organizations

• supported_by: Project MS-4 of the Institute of Robotics and Intelligent Systems of Canada; Canadian Microelectronics Corporation.

Manuscript Details

• publication_date: 20-22 Oct. 1997

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_73eb32bb-15de-427d-ae3e-97fdc787e58a-motion_vision_sensor_architecture_with_asynchronous_selfsignaling_pixels.json