Implement Basic Obstacle Detection and Avoidance System

[Byrdman32]

Background

Making use of an ZED Depth Map will allow us to detect the presence of Obstacles in our path and then using an A* Path Finding Algorithm we can choose the best path to avoid the obstacle.

Goal

Implement MVP Obstacle Detection and Avoidance Capabilities that are required to determine the feasibility of completing this project for the 2023-24 Competition Season.

Note: At this time it will not include any Triclops capabilities.

Useful Links:

• https://www.tensorflow.org/guide
• https://roboflow.com/
• http://theory.stanford.edu/~amitp/GameProgramming/AStarComparison.html
• https://www.stereolabs.com/docs/depth-sensing/

[Byrdman32]

Cleaning up remaining issues from URC 2024 to prep for URC 2025 development.