A Lowpower Visual Horizon Estimation Chip

• doi: 10.1109/ISCAS.2005.1465695
• title: A low-power visual horizon estimation chip
• publisher: IEEE
• isbn: 0-7803-8834-8
• issn: 2158-1525
• partnum: 05CH37618
• rank: 1165
• access_type: LOCKED
• content_type: Conferences
• abstract: Recent successes in micro-aerial vehicles (<15 cm length, wingspan, height), have highlighted the lack of real-time sensors for flight control. We describe a low-power, real-time visual horizon sensor for use in stabilizing miniature aircraft with respect to pitch and roll in moderate-to-high altitude flight. This prototype sensor incorporates a 12/spl times/12 photoreceptor array and finds a best-fit horizon line based on image intensity. The sensor includes a "confidence-level" output for a flight control system to detect poor sensing conditions. The chip was fabricated in a commercially-available 0.5 /spl mu/m CMOS process and operates on less than 2.5 milliwatts with a 5 V power supply.
• article_number: 1465695
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1465695
• html_url: https://ieeexplore.ieee.org/document/1465695/
• abstract_url: https://ieeexplore.ieee.org/document/1465695/
• publication_title: 2005 IEEE International Symposium on Circuits and Systems
• conference_location: Kobe, Japan
• conference_dates: 23-26 May 2005
• publication_number: 9898
• is_number: 31469
• publication_year: 2005
• publication_date: 23-26 May 2005
• start_page: 4755
• end_page: 4758 Vol. 5
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 73
• insert_date: 20050725
• index_terms:
  • ieee_terms:
    • Sensor arrays
    • Aerospace control
    • Vehicles
    • Sensor phenomena and characterization
    • Aircraft
    • Prototypes
    • Image sensors
    • Photoreceptors
    • Sensor systems
    • CMOS process
  • author_terms:
    • analog VLSI
    • smart sensor
    • autonomous flight control
    • micro-aerial vehicles
  • dynamic_index_terms:
    • Image Intensity
    • Milliwatts
    • Micro Air Vehicles
    • Micro Aerial Vehicles
    • Cost Function
    • Photodiode
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Photocurrent
    • Local Intensity
    • Local Volume
    • Bias Parameter
    • Class Averages
    • Linear Discriminant
    • Large Vectors
    • Pixel Vector
    • Vector For Each Pixel
    • Differential Pair
    • Amplitude Vector
    • Mismatch Detection
• isbn_formats:
  • format: Print ISBN, value: 0-7803-8834-8, isbnType: Historical
• authors:
  • Author Name: T.K. Horiuchi
    Affiliation: Electrical and Computer Engineering Department, Institute for Systems Research & the Neuroscience, University of Maryland, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37271287600
    ID: 37271287600
    Order: 1
    Author Affiliations:
    • Electrical and Computer Engineering Department, Institute for Systems Research & the Neuroscience, University of Maryland, College Park, MD, USA

Image Sensor

• sensor_type: CMOS
• resolution: 12x12
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

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

Performance Metrics

• power_consumption: Less than 2.5mW

Applications & Benefits

• cell_imaging: The sensor can be used for stabilizing miniature aircraft, contributing to applications in aerial surveillance and autonomous flight.
• benefits: Low-power real-time operation suitable for micro-aerial vehicles.

Supporting Organizations

• supported_by: Air Force Office of Scientific Research, National Science Foundation

Manuscript Details

• publication_date: 23-26 May 2005

Relevancy Score

• score: 8
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

request_f462788a-80f6-4267-816d-4149e126de4f-a_lowpower_visual_horizon_estimation_chip.json