The Department of Transportation classifies a vehicle depending on the number of axles and the space between them (wheelbase). Vehicle classification accuracy depends on the accuracy in estimating the speed and the wheelbase. In this study, a three-dimension Glass Fiber-Reinforced Polymer packaged Fiber Bragg Grating sensor (3D GFRP-FBG) is introduced for vehicle speed and wheelbase estimation. The experimental results show the ability of the sensor to estimate the speed and the wheelbase of a reference vehicle, with an accuracy of 95% or higher.
Mu'ath Al-Tarawneh and Ying Huang, "In-pavement fiber Bragg grating sensor for vehicle speed and wheelbase estimation," Proc. SPIE 10598, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 105982A (Presented at SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring: March 08, 2018; Published: 27 March 2018); https://doi.org/10.1117/12.2295624.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the proceedings. They include the speaker's narration with video of the slides and animations. Most include full-text papers. Interactive, searchable transcripts and closed captioning are now available for 2018 presentations, with transcripts for prior recordings added daily.
Search our growing collection of more than 16,000 conference presentations, including many plenaries and keynotes.