ViLDAR-Visible light sensing-based speed estimation using vehicle headlamps

Name: ViLDAR-Visible light sensing-based speed estimation using vehicle headlamps
Author: Abuella, H., Miramirkhani, F., Ekin, S., Uysal, Murat, Ahmed, S.

İsim	ViLDAR-Visible light sensing-based speed estimation using vehicle headlamps
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

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ViLDAR-Visible light sensing-based speed estimation using vehicle headlamps

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