ndrplz/self-driving-car resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2922 stars · 1390 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of source code for all projects from the Udacity Self-Driving Car Engineer Nanodegree, covering lane finding, traffic sign classification, behavioral cloning, vehicle detection, Kalman/particle filters, path planning, and PID control. It serves as reference implementations and lecture material for learning autonomous vehicle algorithms.

Use cases

• learn self-driving car algorithms from worked examples
• study lane detection with computer vision
• implement extended and unscented Kalman filters for sensor fusion
• train a CNN for traffic sign classification
• understand behavioral cloning for steering control
• reference particle filter localization code
• explore PID control for vehicle steering

When to choose

• you are a student or engineer learning autonomous vehicle fundamentals
• you want reference implementations of classic self-driving course projects
• you need examples of Kalman filters, lane detection, or behavioral cloning

When to avoid

• you need production-ready autonomous driving software
• you want a maintained library with a license and active development
• you need modern deep-learning-based perception pipelines

Facets

learning-resource · maturity maintenance

computer-vision machine-learning deep-learning simulation autonomous-vehicles computer-vision machine-learning tutorials robotics cpp python cross-platform self-driving-car udacity-nanodegree kalman-filter particle-filter lane-detection vehicle-detection behavioral-cloning pid-control traffic-sign-classification course-projects

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markdown · JSON · MCP: product_card(name="ndrplz/self-driving-car")