Integration Of Bioinspired Vision Principles Towards The Design Of Autonomous Guidance Navigation And Control Systems

• doi: 10.1109/IISA.2018.8633643
• title: Integration of Bioinspired Vision Principles Towards the Design of Autonomous Guidance, Navigation, and Control Systems
• publisher: IEEE
• isbn: 978-1-5386-8162-6
• issn:
• rank: 2804
• access_type: LOCKED
• content_type: Conferences
• abstract: In this study, key-characteristics of different bioinspired vision systems are presented, and their importance in the design of autonomous navigation systems is highlighted. Two paradigms reflecting authors' research efforts in the design of vision systems, mimicking the human and animal retina, are presented. The first paradigm relates to the development of novel polymer nanostructures and nanoantennas aimed at integrating polarization principles with CMOS designs, mimicking bioinspired retina systems. The second paradigm relates to the development and testing of a novel neuromorphic spike event-based polarimetric Dynamic Vision Sensor (DVS), for dynamic imaging of a scene, with enhanced temporal contrast and high object discrimination. The outcome of this study indicates that integration of several bioinspired vision principles, such as polarization of light and neuromorphic detection, play an important role in the design of innovative bioinspired nanomaterials and neuromorphic vision architectures.
• article_number: 8633643
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633643
• html_url: https://ieeexplore.ieee.org/document/8633643/
• abstract_url: https://ieeexplore.ieee.org/document/8633643/
• publication_title: 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)
• conference_location: Zakynthos, Greece
• conference_dates: 23-25 July 2018
• publication_number: 8620122
• is_number: 8633585
• publication_year: 2018
• publication_date: 23-25 July 2018
• start_page: 1
• end_page: 8
• citing_paper_count: 6
• citing_patent_count: 0
• download_count: 177
• insert_date: 20190203
• index_terms:
  • ieee_terms:
    • Compounds
    • Visualization
    • Machine vision
    • Neuromorphics
    • Retina
    • Vision sensors
  • author_terms:
    • Bioinspired Vision
    • biological retina
    • autonomous vehicles (AV)s
    • guidance
    • navigation
    • smart cities
    • functional nanomaterials
    • neuromorphic spike event-based Polarimetric Dynamic Vision Sensor (DVS)
    • high-temporal contrast
    • high-dynamic range
  • dynamic_index_terms:
    • System Design
    • Autonomic System
    • Autonomous Systems
    • Autonomous Robots
    • Autonomous Navigation Systems
    • Bio-inspired Vision
    • Visual System
    • Polarized Light
    • Design Efforts
    • Identification Efforts
    • Vision Sensors
    • Nanoantenna
    • Polymeric Nanostructures
    • Dynamic Vision Sensor
    • Event Camera
    • Retinas Of Animals
    • Spatial Resolution
    • Field Of View
    • Field-of-view
    • Arthropods
    • Arthropod
    • Backscatter
    • Linearly Polarized
    • Propagation Direction
    • Human Cognition
    • Human Knowledge
    • Agility
    • Autonomous Vehicles
    • Autonomous Driving
    • High Dynamic Range Image
    • Compound Eyes
    • Compound Eye
    • Micro Air Vehicles
    • Micro Aerial Vehicles
    • Micro-aerial Vehicles
    • Human Vision
    • Human Visual Perception
    • Fast Axis
    • High Dynamic Range
    • High-dynamic-range
    • Polarization State
    • Polarimetric Images
    • Human Visual System
    • Polymeric Nanomaterials
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5386-8162-6, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5386-8161-9, isbnType: New-2005
• authors:
  • Author Name: George Giakos
    Affiliation: Department of Electrical and Computer Engineering, Manhattan College, New York, USA
    Author URL: https://ieeexplore.ieee.org/author/37274592500
    ID: 37274592500
    Order: 1
    Author Affiliations:
    • Department of Electrical and Computer Engineering, Manhattan College, New York, USA
  • Author Name: Tannaz Farrahi
    Affiliation: Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA
    Author URL: https://ieeexplore.ieee.org/author/38486895800
    ID: 38486895800
    Order: 2
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA
  • Author Name: Nicolas Douard
    Affiliation: Department of Electrical and Computer Engineering, Manhattan College, New York, USA
    Author URL: https://ieeexplore.ieee.org/author/37086263778
    ID: 37086263778
    Order: 3
    Author Affiliations:
    • Department of Electrical and Computer Engineering, Manhattan College, New York, USA
  • Author Name: Michael Surovich
    Affiliation: Department of Electrical and Computer Engineering, Manhattan College, New York, USA
    Author URL: https://ieeexplore.ieee.org/author/37086261939
    ID: 37086261939
    Order: 4
    Author Affiliations:
    • Department of Electrical and Computer Engineering, Manhattan College, New York, USA
  • Author Name: Suman Shrestha
    Affiliation: Department of Electrical and Computer Engineering, Manhattan College, New York, USA
    Author URL: https://ieeexplore.ieee.org/author/38486836900
    ID: 38486836900
    Order: 5
    Author Affiliations:
    • Department of Electrical and Computer Engineering, Manhattan College, New York, USA
  • Author Name: Gloria Bauman
    Affiliation: Department of Electrical and Computer Engineering, Manhattan College, New York, USA
    Author URL: https://ieeexplore.ieee.org/author/37086272969
    ID: 37086272969
    Order: 6
    Author Affiliations:
    • Department of Electrical and Computer Engineering, Manhattan College, New York, USA
  • Author Name: Anthony Benitati
    Affiliation: Department of Electrical and Computer Engineering, Manhattan College, New York, USA
    Author URL: https://ieeexplore.ieee.org/author/37088746526
    ID: 37088746526
    Order: 7
    Author Affiliations:
    • Department of Electrical and Computer Engineering, Manhattan College, New York, USA
  • Author Name: Hussam Eldin Mohamed
    Affiliation: Manhattan College, Riverdale, NY, US
    Author URL: https://ieeexplore.ieee.org/author/37088743744
    ID: 37088743744
    Order: 8
    Author Affiliations:
    • Manhattan College, Riverdale, NY, US
  • Author Name: Zoe Giakos
    Affiliation: Department of Electrical and Computer Engineering, Manhattan College, New York, USA
    Author URL: https://ieeexplore.ieee.org/author/37086266642
    ID: 37086266642
    Order: 9
    Author Affiliations:
    • Department of Electrical and Computer Engineering, Manhattan College, New York, USA
  • Author Name: Na Ying
    Affiliation: University of Akron, Akron, USA
    Author URL: https://ieeexplore.ieee.org/author/37682593700
    ID: 37682593700
    Order: 10
    Author Affiliations:
    • University of Akron, Akron, USA
  • Author Name: Michalis Zervakis
    Affiliation: Institute of Communication Engineering, Hangzhou Dianzi University, China
    Author URL: https://ieeexplore.ieee.org/author/37297156400
    ID: 37297156400
    Order: 11
    Author Affiliations:
    • Institute of Communication Engineering, Hangzhou Dianzi University, China
  • Author Name: George Livanos
    Affiliation: Dept. of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece
    Author URL: https://ieeexplore.ieee.org/author/37541258100
    ID: 37541258100
    Order: 12
    Author Affiliations:
    • Dept. of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece

Image Sensor

• sensor_type: CMOS
• resolution: 128x128
• dynamic_range: 120 dB
• pixel_size: 40x40 µm
• dark_current: ≤15 fW/Hz^(1/2)

Optical Data

• focal_length: not specified
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

• frame_rate: 1 MEPS
• power_consumption: 30 or 60 mA at 5 VDC based on activity level
• noise: ≤15 fW/Hz^(1/2)

Applications & Benefits

• cell_imaging: not specified
• benefits: Provides high-temporal contrast and high-dynamic range images for various applications.

Supporting Organizations

• supported_by: U.S. Air Force Research Laboratory (AFRL)

Manuscript Details

• publication_date: 23-25 July 2018

Relevancy Score

• score: 9
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed

Processed JSON Filename

request_3f82121a-a869-4728-bac2-7a25f82140c0-integration_of_bioinspired_vision_principles_towards_the_design_of_autonomous_guidance_navigation_and_control_systems.json