Pygame Field of View (FOV) Obstacle Detection

This Python project uses the Pygame library to simulate a robot equipped with sensors for detecting obstacles within its field of view (FOV). The robot's FOV is represented as a triangle, and it can detect obstacles within this triangular area.

Project Structure

The project consists of the following files:

1. utils.py: Contains utility functions used for geometry calculations and drawing.
2. robot-360-detection.py: Implements a robot with sensors for 360-degree FOV detection.
3. robot-one-sensor.py: Implements a robot with a single sensor for FOV detection.

Getting Started

Prerequisites

Before running the project, make sure you have Python and Pygame installed on your system.

You can install Pygame using pip:

pip install pygame

Running the Simulation

To run the simulation, execute one of the following Python files:

1. For the 360-degree FOV detection robot:

python robot-360-detection.py

2. For the robot with a single sensor:

python robot-one-sensor.py

Controls

• Use the arrow keys to control the robot's movement (left, right, up, down).
• Press the SPACE key to rotate the robot.

Usage

The robot's FOV is visualized on the screen as a colored triangle. Obstacles within the FOV are detected and displayed in real-time. The detected obstacles' positions are shown on the screen, along with their coordinates.

Contributing

Contributions are welcome! If you have any suggestions, improvements, or bug fixes, please feel free to submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.