A Probability-Based Algorithm Using Image Sensors to Track the LED in aVehicle Visible Light Communication System

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/473924.do
DOI
10.3390/s17020347
Title
A Probability-Based Algorithm Using Image Sensors to Track the LED in aVehicle Visible Light Communication System
Description
This research was supported by the Basic Science Research Programthrough the National Research Foundation of Korea (NRF) funded by theMinistry of Education, Science and Technology (No. 2015R1A2A2A01006431).
abstract
This paper proposes a probability-based algorithm to track the LED in vehicle visible light communication systems using a camera. In this system, the transmitters are the vehicles' front and rear LED lights. The receivers are high speed cameras that take a series of images of the LEDs. The data embedded in the light is extracted by first detecting the position of the LEDs in these images. Traditionally, LEDs are detected according to pixel intensity. However, when the vehicle is moving, motion blur occurs in the LED images, making it difficult to detect the LEDs. Particularly at high speeds, some frames are blurred at a high degree, which makes it impossible to detect the LED as well as extract the information embedded in these frames. The proposed algorithm relies not only on the pixel intensity, but also on the optical flow of the LEDs and on statistical information obtained from previous frames. Based on this information, the conditional probability that a pixel belongs to a LED is calculated. Then, the position of LED is determined based on this probability. To verify the suitability of the proposed algorithm, simulations are conducted by considering the incidents that can happen in a real-world situation, including a change in the position of the LEDs at each frame, as well as motion blur due to the vehicle speed.
provenance
Made available in Cube on 2018-09-28T10:32:31Z (GMT). No. of bitstreams: 0
language
English
author
Huynh, Phat
Do, Trong-Hop
Yoo, Myungsik
orcid
Do, Trong-Hop/0000-0001-5997-4983
accessioned
2018-09-28T10:32:31Z
available
2018-09-28T10:32:31Z
issued
2017
citation
SENSORS(17): 2
issn
1424-8220
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/473924.do
Funder
교육부
Funding Program
BK21플러스사업(0.5)
Project ID
1345274457
Jurisdiction
Rep.of Korea
Project Name
Interdisciplinary Education Program for the Sports and Information Technology Specialized in Wearable Devices
rights
openAccess
subject
visible light communication
vehicle
tracking
probability
light-emitting diode
camera
type
article


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