The project aims to utilize spatial data collection and analysis by leveraging drone technology and LiDAR (Light Detection and Ranging) systems to capture high-precision 3D models of physical environments. These models will be integrated with Geographic Information Systems (GIS) to enhance spatial analysis, planning, and decision-making processes. Once integrated, we want to explore using machine learning and object detection to isolate features from the models.
| Folder | Description |
|---|---|
| Documentation | all documentation the project team has created to describe the architecture, design, installation, and configuration of the project |
| Notes and Research | Relevant helpful information to understand the tools and techniques used in the project |
| Project Deliverables | Folder that contains final pdf versions of all Fall and Spring Major Deliverables |
| Status Reports | Project management documentation - weekly reports, milestones, etc. |
| src | Source code - create as many subdirectories as needed |
Note: Commits behind this fork could be automatically synced, meaning that changes made in the template are pushed into your repo. Please do not discard commits ahead (these are the updates you make to this repository).
- Matt Merrill - GeoDecisions - Sponsor
- Chad Bunyard - GeoDecisions - Sponsor/Technical Advisor
- Yuichi Motai - Electrical and Computer Engineering - Faculty Advisor
- Tamer Nadeem - Computer Science - Faculty Advisor
- Adil Adil - Computer Engineering - Student Team Member
- Grady Beck - Computer Science - Student Team Member
- Colin Drake - Computer Science - Student Team Member
- Nathan Germain - Computer Engineering - Student Team Member