Road Segmentation Campus Tec FJ24 Computer Vision Project

Here are a few use cases for this project:

1. Campus Maintenance and Upgrades: This model could be used by universities or schools for identifying issues and planning upgrades to campus roads, cycle paths, etc. The user could quickly locate potholes, unpaved areas, water puddles, or assess the current state of lane-roads, bicycle-roads, among others, and accordingly plan for repairs or improvements.

2. Smart City Infrastructure Management: Local governments or municipal bodies could use this model to regularly monitor city infrastructure such as roads, cycling paths, pedestrian areas, etc. Identifying issues like storm drains, potholes, water puddles, speed bumps can lead to better infrastructure management and citizen safety.

3. Cycling or Running Apps: Such apps can use this model to provide real-time information about cycle path conditions, potholes, water puddles, etc. to its users for safe and efficient route planning.

4. Advanced Driver Assistance Systems (ADAS): The model can help identify various features on and around the road like speed bumps, cats eyes, lane dividers, patches, etc. This data can be used in real-time to provide enhanced safety features in autonomous or semi-autonomous vehicles.

5. Infrastructure Analysis for Navigation Apps: Navigation apps like Google Maps or Waze can utilise this model to enhance their road data and provide more accurate traffic information and path suggestions. Detection of speed bumps, water puddles, potholes, etc. could enhance the user experience by predicting possible delays or suggesting alternative routes.