Hands-on implementations of fundamental self-driving car concepts: stereo depth, LiDAR plane fitting, occupancy grid mapping, Extended Kalman Filter, vehicle models, mission planning, and parameter estimation.

This project implements a route optimization system that identifies the shortest and most efficient path between two points in a network. Leveraging Dijkstra's Algorithm, the system calculates minimal travel distances by evaluating weighted graphs, making it ideal for applications .