Abstract
Vehicular communication and sensing technologies are mainly based on the conventional radio frequency (RF) or laser technologies. These systems suffer from several issues such as RF interference and poor performance in scenarios where the incidence angle between the speed detector and the vehicle is rapidly varying. Introducing a new sensing technology will add diversity to these systems and enhance the reliability of the real-time data. In this study, we investigate our speed estimation sensing system named “Visible Light Detection and Ranging (ViLDAR)”. ViLDAR utilizes visible light sensing technology to measure the variation of the vehicle's headlamp light intensity and estimate the vehicle speed. The measurement settings of the ViLDAR experiments are presented. The preliminary results obtained in the real-world environment/setting are promising when compared to the simulations. Additional measurements using the ViLDAR prototype will be conducted under different conditions and scenarios to further optimize the system.
Highlights
Vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) sensing and communication technologies have received much attention by ITS researchers and industry in order to improve traffic operations and safety 1
The theory behind the RAdio Detection and Ranging (RADAR) and Light Detection and Ranging (LiDAR) systems is that they measure the change in the frequency or the travel time of the reflected radio frequency (RF) waves from the targeted vehicle
This paper presents preliminary results of the field implementation of a prototype Visible Light Detection and Ranging (ViLDAR) system to serve as a proof of concept
Summary
Vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) sensing and communication technologies have received much attention by ITS researchers and industry in order to improve traffic operations and safety 1. Most of the wireless V2V and V2I systems use radio frequency (RF) technologies, which are well-established systems and operate at their highest potential Examples of these systems include the RAdio Detection and Ranging (RADAR) and the Light Detection and Ranging (LiDAR) which determine the location and the speed of vehicles. The theory behind the RADAR and LiDAR systems is that they measure the change in the frequency or the travel time of the reflected RF waves from the targeted vehicle. Both RADAR and LiDAR have some limitations and issues that can make the speed estimations unreliable 2. Preliminary conclusions and future work are discussed in the last section
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