Author
Abuella, H., Miramirkhani, F., Ekin, S., Uysal, Murat, Ahmed, S.
Publication Date
2019-11
Publication Place
-
IEEE
Subject
Intelligent transportation systems, Vehicle safety, Speed estimation, RADAR, LiDAR, Visible light sensing, Ray tracing
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
0018-9545
Record ID
7f2968ca-9751-4662-a0b7-e723ce9a0ecd
Library Location
Electrical & Electronics Engineering
Date
2019-11
Notes
U.S. Department of Transportation through the Transportation Consortium of South-Central States
Sample Text
The introduction of light emitting diodes (LED) in automotive exterior lighting systems provides opportunities to develop viable alternatives to conventional communication and sensing technologies. Most of the advanced driver-assist and autonomous vehicle technologies are based on Radio Detection and Ranging (RADAR) or Light Detection and Ranging (LiDAR) systems that use radio frequency or laser signals, respectively. While reliable and real-time information on vehicle speeds is critical for traffic operations management and autonomous vehicles safety, RADAR or LiDAR systems have some deficiencies especially in curved road scenarios where the incidence angle is rapidly varying. In this paper, we propose a novel speed estimation system so-called the Visible Light Detection and Ranging (ViLDAR) that builds upon sensing visible light variation of the vehicle's headlamp. We determine the accuracy of the proposed speed estimator in straight and curved road scenarios. We further present how the algorithm design parameters and the channel noise level affect the speed estimation accuracy. For wide incidence angles, the simulation results show that the ViLDAR outperforms RADAR/LiDAR systems in both straight and curved road scenarios.
DOI
10.1109/TVT.2019.2941705
Cilt
68
