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Full-Text Articles in Engineering
Labeling Paths With Convolutional Neural Networks, Sean Wallace, Kyle Wuerch
Labeling Paths With Convolutional Neural Networks, Sean Wallace, Kyle Wuerch
Computer Engineering
With the increasing development of autonomous vehicles, being able to detect driveable paths in arbitrary environments has become a prevalent problem in multiple industries. This project explores a technique which utilizes a discretized output map that is used to color an image based on the confidence that each block is a driveable path. This was done using a generalized convolutional neural network that was trained on a set of 3000 images taken from the perspective of a robot along with matching masks marking which portion of the image was a driveable path. The techniques used allowed for a labeling accuracy …
Identifying Hourly Traffic Patterns With Python Deep Learning, Christopher L. Leavitt
Identifying Hourly Traffic Patterns With Python Deep Learning, Christopher L. Leavitt
Computer Engineering
This project was designed to explore and analyze the potential abilities and usefulness of applying machine learning models to data collected by parking sensors at a major metro shopping mall. By examining patterns in rates at which customer enter and exit parking garages on the campus of the Bellevue Collection shopping mall in Bellevue, Washington, a recurrent neural network will use data points from the previous hours will be trained to forecast future trends.