Bridge Health Classification With Automotive Sensing

In this project, I am applying machine learning techniques to identify the structural health of arbitrary bridges. Our goal is to collect data related to bridge health, such as vertical acceleration and harmonic frequency, through sensors present in vehicles.

In the coming years, smart cars will be more prevalent. This will facilitate community planning and monitoring projects, such as this. We attempt to ready ourselves for this future by identifying the techniques and methods nessesary to gather and interpret this very noisy data.