self-driving-car

Why we included this project

Anyone working through Udacity's Self-Driving Car Engineer Nanodegree will recognize these project folders: each one is a finished assignment, and together they trace a full perception-and-control stack. You get classic lane finding and traffic-sign classification with convolutional networks, then behavioral cloning, vehicle detection, an extended Kalman filter, and PID control. Because the projects are ordered and build on the previous ones, it's easy to see how the pieces connect instead of treating each technique in isolation. The code is clean and commented, so it's handy when you're stuck on a similar assignment or want a baseline to modify. It's not production software, but as a reference for what each skill looks like in practice, it covers the ground well.