Air-to-Ground Search Project

Overview

The Air-to-Ground Search Project will implement and compare several path planning algorithms to determine the most efficient flight paths for aircraft operating in a 2D grid world. The algorithms aim to maximize grid coverage while minimizing movements, adhering to constraints such as fixed movement patterns (forward, left, right) and navigating around static obstacles.

Team N

• Jack Madison
• Debora Andrade
• Makalyn Kline
• Jordan Lewis
• Garrett Wacker
• Jakob Ferguson

Tech Stack

• Front-End: React.js
• Back-End: Python

Installation

Prerequisites

• Node.js v22.14.0
• Python3

Use node and Python to install the dependencies

cd "$(git rev-parse --show-toplevel)"; cd backend; pip install Flask; pip install flask_cors; pip install matplotlib; pip install noise; cd ../client; npm install; npm run build;

Starting the App

cd "$(git rev-parse --show-toplevel)"; python backend/src/main.py;