Vision Chip For Navigating And Controlling Micro Unmanned Aerial Vehicles

• doi: 10.1109/ISCAS.2003.1205137
• title: Vision chip for navigating and controlling Micro Unmanned Aerial Vehicles
• publisher: IEEE
• isbn: 0-7803-7761-3
• issn:
• partnum: 03CH37430
• rank: 3977
• access_type: LOCKED
• content_type: Conferences
• abstract: A single chip which visually measures the Yaw, Pitch and Roll (YPR) and images the direction of travel of a Micro Unmanned Aerial Vehicle (MUAV) is described. The YPR measurement modules, constructed using an elaborated Reichardt model of the fly's motion detection system, are used to measure the drift rate of features in the field of view. A variable acuity superpixellation imager (VASI), constructed using an active pixel sensor (APS) with networked integration capacitors, allows multiple high resolution foveae to be interspersed in a low resolution image of the environment. The 49 sq. mm chip, containing twelve 90-pixel linear arrays for the YPR modules and a 128/spl times/128 VASI array, is fabricated in a 0.5 /spl mu/m 2P3M CMOS process. Measured results indicate that YPR rates of over 300 pixels/second and VASI images ranging from 1/spl times/1 to 128/spl times/128, with multiple, dynamically variable foveae, can be obtained with this chip. It is intended to be used to control and navigate a MUAV, but it can also be used for visual tracking and many other "multimode" imaging operations.
• article_number: 1205137
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1205137
• html_url: https://ieeexplore.ieee.org/document/1205137/
• abstract_url: https://ieeexplore.ieee.org/document/1205137/
• publication_title: 2003 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Bangkok, Thailand
• conference_dates: 25-28 May 2003
• publication_number: 8570
• is_number: 27130
• publication_year: 2003
• publication_date: 25-28 May 2003
• start_page: III
• end_page: III
• citing_paper_count: 8
• citing_patent_count: 0
• download_count: 128
• insert_date: 20030620
• index_terms:
  • ieee_terms:
    • Navigation
    • Unmanned aerial vehicles
    • Semiconductor device measurement
    • Motion measurement
    • Pixel
    • Image resolution
    • Motion detection
    • Capacitive sensors
    • Image sensors
    • Capacitors
  • dynamic_index_terms:
    • Unmanned Aerial Vehicles
    • High-resolution
    • Field Of View
    • Motion Detection
    • Motion Sensors
    • Characteristic Zero
    • Characteristic P
    • Field Characteristics
    • Active Sensors
    • Direction Of Travel
    • Single Chip
    • Imaging Environment
    • Environmental Characteristics
    • Environmental Features
    • Visual System
    • Photodiode
    • Angular Velocity
    • Rotational Velocity
    • Edge Detection
    • Function Generator
    • Visual Motion
    • Linear Detection
    • Foveal Region
    • Detection Circuit
    • Static Random Access Memory
• isbn_formats:
  • format: Print ISBN, value: 0-7803-7761-3, isbnType: Historical
• authors:
  • Author Name: M. Massie
    Affiliation: Nova Biomimetics, Solvang, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37643506700
    ID: 37643506700
    Order: 1
    Author Affiliations:
    • Nova Biomimetics, Solvang, CA, USA
  • Author Name: C. Baxter
    Affiliation: Nova Biomimetics, Solvang, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37088116970
    ID: 37088116970
    Order: 2
    Author Affiliations:
    • Nova Biomimetics, Solvang, CA, USA
  • Author Name: J.P. Curzan
    Affiliation: Nova Biomimetics, Solvang, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37657957200
    ID: 37657957200
    Order: 3
    Author Affiliations:
    • Nova Biomimetics, Solvang, CA, USA
  • Author Name: P. McCarley
    Affiliation:
    Author URL: https://ieeexplore.ieee.org/author/37643508800
    ID: 37643508800
    Order: 4
    
  • Author Name: R. Etienne-Cummings
    Affiliation: Dept. of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/38271387300
    ID: 38271387300
    Order: 5
    Author Affiliations:
    • Dept. of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA

Image Sensor

• sensor_type: Active Pixel Sensor (APS)
• resolution: 128x128
• dynamic_range: Not specified in text
• pixel_size: 30 µm
• dark_current: Not specified in text

Optical Data

• focal_length: Not specified in text
• aperture: Not specified in text
• field_of_view: Not specified in text
• distortion: Not specified in text

Performance Metrics

• frame_rate: 30 fps
• signal_to_noise_ratio: Not specified in text
• sensitivity: Not specified in text
• shutter_speed: Not specified in text
• power_consumption: 560 µW for the entire chip, 200 µW for VASI
• noise: Not specified in text

Applications & Benefits

• cell_imaging: Used for navigation and control of Micro Unmanned Aerial Vehicles (MUAV) and can also be applicable in several military and consumer applications.
• benefits: Low power, compact design enhances integration in portable systems.

Supporting Organizations

• supported_by: United States Air Force contracts, AFRL/MNGI, Eglin AFB, Florida.

Manuscript Details

• publication_date: 25-28 May 2003

Relevancy Score

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

Processed JSON Filename

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