This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.
This project was a group project focused on geospatial visualization of data using leaflet.js. We explored the relationship between walkability and affordability in the state of Colorado with a choropleth map that additionally differentiated information based on opacity. The team of three developers worked to render information at the census tract level to provide the most useful data for users.
Sentiment analysis as dashboard in web server. Quick understandable and customized layout for any business application. This is based on positive, neutral and negative tweets in US location.
This is a public repository for an AtlasCine atlas template, containing all of the files (e.g. modules, schemas, custom code) needed to create an AtlasCine atlas, minus the atlas content (maps, videos, etc.). You will also find all documentation related to Atlascine's use and deployment in the repo's wiki.
