Vehicular Visible Light Communication With Dynamic Vision Sensor A
Preliminary Study
- doi: 10.1109/VNC.2018.8628425
-
title: Vehicular Visible Light Communication with
Dynamic Vision Sensor: A Preliminary Study
- publisher: IEEE
- isbn: 978-1-5386-9429-9
- issn: 2157-9857
- rank: 3954
- access_type: LOCKED
- content_type: Conferences
-
abstract: State-of-the-art vehicular visible light
communication (V2LC) systems utilize either a photodiode or a camera as
the receiver, while both have their drawbacks. A photodiode-based
receiver lacks the capability to separate signals from sources
transmitting at the same time and is more vulnerable to interference. On
the other hand, a camera-based receiver suffers from low system
throughput, resulting from the low image frame rate of commodity
cameras. In this paper, we investigate a solution which attempts to
combine the best of both, and mitigate their drawbacks.We propose to use
a new type of CMOS vision sensor: a dynamic vision sensor (DVS). Instead
of recording still frames, a DVS only generates outputs when it senses a
significant change of brightness in a pixel. The output of a DVS is a
stream of events on the pixel basis with 1 μs resolution, which greatly
increase the bandwidth. We investigate the key requirements of the
modulation wave form when using a DVS camera-based receiver, and propose
a new pulse wave form that maintains the same average luminance level
while extending the operational range of the system. Preliminary
experimental results show that the proposed wave form nearly triples the
range to 8 m, compared to the range of 3 m when using the conventional
inverse pulse position modulation wave form.
- article_number: 8628425
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8628425
-
html_url:
https://ieeexplore.ieee.org/document/8628425/
-
abstract_url:
https://ieeexplore.ieee.org/document/8628425/
-
publication_title: 2018 IEEE Vehicular Networking
Conference (VNC)
- conference_location: Taipei, Taiwan
- conference_dates: 5-7 Dec. 2018
- publication_number: 8614369
- is_number: 8628314
- publication_year: 2018
- publication_date: 5-7 Dec. 2018
- start_page: 1
- end_page: 8
- citing_paper_count: 6
- citing_patent_count: 0
- download_count: 429
- insert_date: 20190131
-
index_terms:
-
ieee_terms:
- Voltage control
- Cameras
- Receivers
- Modulation
- Light emitting diodes
- Throughput
- Interference
-
dynamic_index_terms:
- Vision Sensors
- Vehicular Communication
- Visible Light Communication
- Dynamic Vision Sensor
- Event Camera
- Vehicular Visible Light Communication
- Vehicular Visible-light Communication
- Waveform
- System Throughput
- Event Stream
- Average Luminance
- Modulation Waveform
- Visible Light Communication System
- Volume Change
- Changes In Intensity
- Data Rate
- Data Evaluation
- High Throughput
- New Forms
- Pulse Duration
- Human Eye
- Human Eyes
- Communication Performance
- Functional Communication
- Reliable Detection
- Square Wave
- Square-wave
- Communication Range
- Symbol Duration
- Use Of Cameras
- On-off Keying
- Changes In Polarity
- Sharp Transition
- Camera-based System
- Lower Average Levels
- Shift Keying
- Low Luminance
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-5386-9429-9,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-5386-9428-2,
isbnType: New-2005
-
authors:
-
Author Name: Wen-Hsuan Shen
Affiliation: Department of Computer Science and
Information Engineering, National Taiwan University, Taipei 10617,
Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37085754596
ID: 37085754596
Order: 1
Author Affiliations:
-
Department of Computer Science and Information Engineering,
National Taiwan University, Taipei 10617, Taiwan
-
Author Name: Po-Wen Chen
Affiliation: Department of Computer Science and
Information Engineering, National Taiwan University, Taipei 10617,
Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37086608663
ID: 37086608663
Order: 2
Author Affiliations:
-
Department of Computer Science and Information Engineering,
National Taiwan University, Taipei 10617, Taiwan
-
Author Name: Hsin-Mu Tsai
Affiliation: Department of Computer Science and
Information Engineering, National Taiwan University, Taipei 10617,
Taiwan
Author URL:
https://ieeexplore.ieee.org/author/38238595200
ID: 38238595200
Order: 3
Author Affiliations:
-
Department of Computer Science and Information Engineering,
National Taiwan University, Taipei 10617, Taiwan
Image Sensor
- sensor_type: CMOS
- resolution: 128x128
- dynamic_range: 120 dB
- pixel_size: Not specified
- dark_current: Not specified
Optical Data
- focal_length: 4 mm
- aperture: Not specified
- field_of_view: 65 degrees
- distortion: Not specified
Performance Metrics
Applications & Benefits
- cell_imaging: Not specified
- benefits: Not specified
Supporting Organizations
-
supported_by: Ministry of Science and Technology of
Taiwan, National Taiwan University, Intel Corporation, Delta Electronics
Manuscript Details
- publication_date: 5-7 Dec. 2018
Relevancy Score
- score: 9
-
missing_fields:
- pixel_size
- dark_current
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
- aperture
- distortion
- benefits
- cell_imaging
Processed JSON Filename
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