Yazar
Abuella, H., Miramirkhani, F., Ekin, S., Uysal, Murat, Ahmed, S.
Basım Tarihi
2019-11
Basım Yeri
-
IEEE
Konu
Intelligent transportation systems, Vehicle safety, Speed estimation, RADAR, LiDAR, Visible light sensing, Ray tracing
Tür
Süreli Yayın
Dil
İngilizce
Dijital
Evet
Yazma
Hayır
Kütüphane
Özyeğin Üniversitesi
Demirbaş Numarası
0018-9545
Kayıt Numarası
7f2968ca-9751-4662-a0b7-e723ce9a0ecd
Lokasyon
Electrical & Electronics Engineering
Tarih
2019-11
Notlar
U.S. Department of Transportation through the Transportation Consortium of South-Central States
Örnek Metin
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
