Led Location Beacon System Based On Processing Of Digital Images
- doi: 10.1109/6979.954547
-
title: LED location beacon system based on processing
of digital images
- publisher: IEEE
- isbn:
- issn: 1558-0016
- rank: 2852
- access_type: LOCKED
- content_type: Journals
-
abstract: This paper is in the field of vehicle
positioning technology for the intelligent transportation systems. The
ideas of an innovative light-emitting diode (LED)-based location beacon
system are developed and verified. The system developed is a combination
of several latest technologies which include a CMOS vision sensor, high
brightness LED, and digital image processing techniques. It belongs to a
new kind of simplex communication link. A digital camera is used to
capture images contained in the LED beacon signal. The captured digital
images are processed by the algorithms developed and a location code is
extracted. The location code can be used for calibration of a vehicle
positioning system which may consist of a GPS, inertial navigation
system (INS) and other sensors. The issues examined include the
structure of the transmitter and the receiver, the signaling method, the
transmission protocol of the LED panel, the relationship between the
camera capturing rate and the LED pattern update rate, the digital
camera exposure technology, and the efficiency of the image processing
algorithms. Experiments using a prototype transmitter and a receiver
were performed. The experimental results provide a good demonstration of
the viability of the ideas and methodologies developed.
- article_number: 954547
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=954547
-
html_url:
https://ieeexplore.ieee.org/document/954547/
-
abstract_url:
https://ieeexplore.ieee.org/document/954547/
-
publication_title: IEEE Transactions on Intelligent
Transportation Systems
- conference_location:
- conference_dates:
- publication_number: 6979
- is_number: 20641
- publication_year: 2001
- publication_date: Sept. 2001
- start_page: 135
- end_page: 150
- citing_paper_count: 36
- citing_patent_count: 22
- download_count: 1365
- insert_date: 20020807
-
index_terms:
-
ieee_terms:
- Light emitting diodes
- Digital images
- Digital cameras
- Vehicles
- CMOS technology
- Intelligent transportation systems
- Intelligent sensors
- CMOS image sensors
- Sensor systems
- Transmitters
-
dynamic_index_terms:
- Image Processing
- Digital Images
- Beacon System
- Digital Camera
- Light-emitting Diodes
- LED Light
- Light Emission
- LEDs
- Communication Protocol
- Network Protocol
- Transmission Protocol
- Vehicle Position
- Vehicle Location
- Intelligent Transportation Systems
- Image Processing Algorithms
- Inertial Navigation
- Inertial Navigation System
- Wireless
- Wireless Communication
- Denoising
- Noise Reduction
- Frame Rate
- Light Signal
- Traffic Signal
- Human Eye
- Differencing
- Differentiability
- Image Frames
- Bit Error Rate
- Bit Error Ratio
- Median Filter
- Traffic Light
- Transition Patterns
- Memory Unit
- Images In Row
- Feature Extraction Process
- Digital CMOS Camera
- Camera Movement
- Traffic Control
- Incandescent Bulbs
- Incandescent Light Bulbs
- Incandescent Lamps
- Tungsten Light
- Fast Switching
- Thyristor
- Camera Module
-
authors:
-
Author Name: G.K.H. Pang
Affiliation: Department of Electrical and
Electronic Engineering, University of Hong Kong, Hong Kong, China
Author URL:
https://ieeexplore.ieee.org/author/37324964100
ID: 37324964100
Order: 1
Author Affiliations:
-
Department of Electrical and Electronic Engineering, University
of Hong Kong, Hong Kong, China
-
Department of Electrical and Computer Engineering, University of
Waterloo, Waterloo, ONT, Canada
-
Author Name: H.H.S. Liu
Affiliation: University of Hong Kong, Hong Kong,
China
Author URL:
https://ieeexplore.ieee.org/author/38184186100
ID: 38184186100
Order: 2
Author Affiliations:
- University of Hong Kong, Hong Kong, China
Image Sensor
- sensor_type: CMOS
- resolution: not specified
- dynamic_range: not specified
- pixel_size: not specified
- dark_current: not specified
Optical Data
- focal_length: 7.4 mm
- aperture: not specified
- field_of_view: 29.6°
- distortion: not specified
Performance Metrics
- frame_rate: 250 fps (theoretical)
Applications & Benefits
-
cell_imaging: Used for vehicle positioning and
navigation in intelligent transportation systems.
-
benefits: Provides wide-field view with CMOS technology
and enables high-speed and efficient data capture.
Supporting Organizations
-
supported_by: University of Hong Kong, University of
Waterloo, industry partners.
Manuscript Details
- publication_date: Sept. 2001
Relevancy Score
- score: 9
-
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
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