Self-driving Car Simulator

"Self-driving Car Simulator with Breadth-First Search (BFS) Pathfinding System in Unity" is an innovative project that combines the power of game development and artificial intelligence. This simulation allows users to experience the exciting world of autonomous vehicles within the Unity game engine.

In this project, a self-driving car navigates a virtual environment using the BFS pathfinding algorithm, a method often employed in robotics and autonomous vehicle systems. BFS explores the surroundings in a systematic, breadth-first manner, ensuring the car finds the shortest path to its destination.

Users can interact with the simulator by setting start and end points for the vehicle, as well as obstacles and road conditions, creating a dynamic testing ground for autonomous driving algorithms. The project not only provides a captivating gaming experience but also serves as an educational tool for understanding the principles behind self-driving technology and pathfinding algorithms.

This combination of cutting-edge technology and interactive simulation offers a unique opportunity to explore and experiment with the future of transportation in a safe and engaging virtual environment.

Creditor: Junhyuk Yang

Co-creditor: Alicia Yerin Kim