ViLDAR - Visible Light Sensing-Based Speed Estimation Using Vehicle Headlamps

Hisham Abuella, Farshad Miramirkhani, Sabit Ekin, Murat Uysal, Samir Ahmed

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Article number8839857
Pages (from-to)10406-10417
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Issue number11
StatePublished - Nov 2019


  • Intelligent transportation systems
  • LiDAR
  • ray tracing
  • speed estimation
  • vehicle safety
  • visible light sensing

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Automotive Engineering


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