SEAVER | Life is full of potholes, and L.A. has more than its share. An intrepid group of LMU engineering students teamed with Google to find a way to map the hazards to make them easier to fix. The students employed TensorFlow, Google’s open-source machine learning platform, to devise a model that could quickly identify potholes and dangerous road cracks from camera footage captured from the hood of a car.
Team member Alejandra Vasquez, a junior electrical engineering major, wrote about her experience for a blog, and the students together with Google produced the following video explaining their field work.
