1Khz 2D Silicon Retina Motion Sensor Platform

• doi: 10.1109/ISCAS.2014.6865060
• title: 1kHz 2D silicon retina motion sensor platform
• publisher: IEEE
• isbn: 978-1-4799-3431-7
• issn: 2158-1525
• rank: 34
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper proposes an optical motion sensor aimed towards small robotic platforms. It incorporates a 20×20 pixel continuous-time CMOS silicon retina vision sensor with pixels that have local gain control and adapt to background lighting and a DSP microcontroller which computes the global optical flow from the sampled sensor output. The system allows the user to validate various motion algorithms suitable for the platform. Measurements are presented that show that the system can compute global 2D translational motion from complex natural scenes using the image interpolation algorithm at a sample rate of 1 kHz and for speeds up to ±1000 pixels/s using <5k instruction cycles per frame.
• article_number: 6865060
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6865060
• html_url: https://ieeexplore.ieee.org/document/6865060/
• abstract_url: https://ieeexplore.ieee.org/document/6865060/
• publication_title: 2014 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Melbourne, VIC, Australia
• conference_dates: 1-5 June 2014
• publication_number: 6852006
• is_number: 6865048
• publication_year: 2014
• publication_date: 1-5 June 2014
• start_page: 41
• end_page: 44
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 216
• insert_date: 20140726
• index_terms:
  • ieee_terms:
    • Robot sensing systems
    • Optical imaging
    • Optical sensors
    • Biomedical optical imaging
    • Microcontrollers
    • Photoreceptors
  • dynamic_index_terms:
    • Motion Detection
    • Motion Sensors
    • Silicon Retina
    • Sampling Rate
    • Optical Sensors
    • Translational Motion
    • Linear Motion
    • Optical Flow
    • Natural Scenes
    • Natural Scenery
    • Global Flows
    • Sensor Output
    • Global Motion
    • Cylindrical
    • Cylinder
    • Low-pass
    • Low-pass Filter
    • Reference Frame
    • Photodiode
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Low Contrast
    • Gyroscope
    • Motion Estimation
    • Spatial Derivatives
    • Successive Frames
    • Micro Air Vehicles
    • Micro Aerial Vehicles
    • Pixel Array
    • Cloudy Sky
    • Adaptive Elements
• isbn_formats:
  • format: CD, value: 978-1-4799-3431-7, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4799-3432-4, isbnType: New-2005
• authors:
  • Author Name: Andreas Steiner
    Affiliation: Institute of Neuroinformatics, University of Zürich and ETH Zürich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37085404791
    ID: 37085404791
    Order: 1
    Author Affiliations:
    • Institute of Neuroinformatics, University of Zürich and ETH Zürich, Switzerland
  • Author Name: Rico Moeckel
    Affiliation: Biorobotics Laboratory, Ecole Polytechnique Federale de Lausanne, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37592374500
    ID: 37592374500
    Order: 2
    Author Affiliations:
    • Biorobotics Laboratory, Ecole Polytechnique Federale de Lausanne, Switzerland
  • Author Name: Reto Thurer
    Affiliation: Institute of Neuroinformatics, University of Zürich and ETH Zürich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37086765050
    ID: 37086765050
    Order: 3
    Author Affiliations:
    • Institute of Neuroinformatics, University of Zürich and ETH Zürich, Switzerland
  • Author Name: Dario Floreano
    Affiliation: Laboratory of Intelligent Systems, Ecole Polytechnique Federale, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37282168700
    ID: 37282168700
    Order: 4
    Author Affiliations:
    • Laboratory of Intelligent Systems, Ecole Polytechnique Federale, Switzerland
  • Author Name: Tobi Delbruck
    Affiliation: Institute of Neuroinformatics, University of Zürich and ETH Zürich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37269976700
    ID: 37269976700
    Order: 5
    Author Affiliations:
    • Institute of Neuroinformatics, University of Zürich and ETH Zürich, Switzerland
  • Author Name: Shih-Chii Liu
    Affiliation: Institute of Neuroinformatics, University of Zürich and ETH Zürich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37280142900
    ID: 37280142900
    Order: 6
    Author Affiliations:
    • Institute of Neuroinformatics, University of Zürich and ETH Zürich, Switzerland

Image Sensor

• sensor_type: CMOS
• resolution: 20x20
• dynamic_range: 10
• pixel_size: 78.5x74.4 µm
• dark_current: Not specified

Optical Data

• focal_length: 4 mm
• aperture: Not specified
• field_of_view: 22°
• distortion: Not specified

Performance Metrics

• frame_rate: 1000 fps
• signal_to_noise_ratio: 10 dB
• power_consumption: 7 mW for MDC2D, 164 mW for dsPIC

Applications & Benefits

• cell_imaging: Not specified
• benefits: Usable output from natural scenes expected by a MAV, flexibility to test and optimize motion algorithms.

Supporting Organizations

• supported_by: Swiss National Science Foundation Research grants 200021-105545/1, National Center of Competence in Research Robotics

Manuscript Details

• publication_date: 1-5 June 2014

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • noise sources
  • analog-to-digital conversion techniques
  • readout speed
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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