A Lowpower Visualhorizon Estimation Chip
- doi: 10.1109/TCSI.2008.2010097
-
title: A Low-Power Visual-Horizon Estimation Chip
- publisher: IEEE
- isbn:
- issn: 1558-0806
- rank: 814
- access_type: LOCKED
- content_type: Journals
-
abstract: Recent successes in the construction of micro
aerial vehicles (< 15 cm) have highlighted the lack of real-time sensors
for flight control. This paper describes a low-power real-time
visual-horizon sensor for stabilizing the pitch and roll of miniature
aircraft in moderate-to-high-altitude flight. This prototype sensor uses
a 12 times 12 photoreceptor array to find a best-fit horizon line based
on image intensity. The sensor includes a "confidence-level" output for
signaling poor sensing conditions and can scan out the image. The chip
was fabricated in a commercially available 0.5- mum CMOS process and
operates on less than 2.5 mW with a 5-V power supply.
- article_number: 4694019
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4694019
-
html_url:
https://ieeexplore.ieee.org/document/4694019/
-
abstract_url:
https://ieeexplore.ieee.org/document/4694019/
-
publication_title: IEEE Transactions on Circuits and
Systems I: Regular Papers
- conference_location:
- conference_dates:
- publication_number: 8919
- is_number: 5200688
- publication_year: 2009
- publication_date: Aug. 2009
- start_page: 1566
- end_page: 1575
- citing_paper_count: 5
- citing_patent_count: 1
- download_count: 302
- insert_date: 20081202
-
index_terms:
-
ieee_terms:
- Sensor arrays
- Image sensors
- Vehicles
- Aerospace control
- Sensor phenomena and characterization
- Aircraft manufacture
- Prototypes
- Photoreceptors
- CMOS process
- Power supplies
-
author_terms:
- Analog VLSI
- autonomous flight control
- micro aerial vehicles
- perceptron
- smart sensor
-
dynamic_index_terms:
- Image Intensity
- Aerial Vehicles
- Real-time Sensor
- Micro Air Vehicles
- Micro Aerial Vehicles
- Learning Rate
- Straight Line
- Error Function
- Vector Of Length
- Photocurrent
- Dot Product
- Threshold Voltage
- Image Distortion
- Lens Distortion
- Radial Distortion
- Image Deformation
- Local Intensity
- Local Volume
- Class Assignment
- Class Name
- Classical Design
- Center Of Origin
- Center Of Diversity
- Vector Magnitude
- Roll Angle
- Yaw Rotation
- Class Averages
- Pixel Vector
- Vector For Each Pixel
- Small Vectors
- External Capacitor
- Differential Pair
- Error Constraint
- Amplitude Vector
-
authors:
-
Author Name: Timothy K. Horiuchi
Affiliation: Department of Electrical and Computer
Engineering and the Institute of Systems Research, Clark School of
Engineering, University of Maryland, College Park, MD, USA
Author URL:
https://ieeexplore.ieee.org/author/37271287600
ID: 37271287600
Order: 1
Author Affiliations:
-
Department of Electrical and Computer Engineering and the
Institute of Systems Research, Clark School of Engineering,
University of Maryland, College Park, MD, USA
Image Sensor
- sensor_type: CMOS
- resolution: 12x12 pixels
- dynamic_range: not specified
- pixel_size: approximately 406 µm
- 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 2.5 mW with a 5-V power
supply
Applications & Benefits
- cell_imaging: not specified
-
benefits: Provides low-power real-time visual-horizon
estimation for micro aerial vehicles
Supporting Organizations
-
supported_by: Air Force Office of Scientific Research,
National Science Foundation
Manuscript Details
- publication_date: Aug. 2009
Relevancy Score
- score: 8
-
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
request_d1879f15-e176-45ad-8823-8fd80caf680b-a_lowpower_visualhorizon_estimation_chip.json