Path Planning Project – PID Controller Solution

Self-driving car navigation with PID controller for smooth lane keeping, speed limit compliance, and collision avoidance. Part of Udacity's Self-Driving Car Nanodegree.

Udacity Path Planning Project – PID Controller Solution

This project is part of Udacity’s Self-Driving Car Nanodegree. The goal is to safely navigate a car in a highway environment while keeping the speed limit, avoiding collisions, and staying centered in the lane. I implemented a PID controller (Proportional-Integral-Derivative) to minimize the cross-track error and maintain smooth steering. The controller also helps regulate speed for safe following distances and lane stability. The result is a stable, safe, and smooth driving behavior.

Key Highlights

  • PID controller for smooth and safe lane keeping
  • Maintains speed limit and safe following distance
  • Minimizes cross-track error for lane centering
  • Collision avoidance and stable driving behavior
  • Part of Udacity Self-Driving Car Nanodegree

Technologies Used

  • C++ - Core programming language
  • PID Controller - Control system for steering
  • Path Planning - Route optimization algorithms
  • Self-Driving Cars - Autonomous vehicle technology
  • Udacity - Educational platform and nanodegree program

Watch the demo and check out the details in the YouTube video!