CHH3213/chhRobotics_CPP

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1009 stars · 287 forks observed · 2026-08-28

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

A C++ implementation collection of common planning and control algorithms for autonomous driving, including global/local path planning (A*, RRT, DWA, Bezier, Dubins) and vehicle control methods. It is designed as a companion to the author's blog tutorials, with a Python counterpart repository.

Use cases

• implement path planning algorithms in C++ for autonomous driving
• learn A* and RRT path planning with code examples
• study vehicle control algorithms like MPC, LQR, and pure pursuit
• prototype local path planning with Bezier curves or DWA
• reference C++ implementations of Dubins curves
• learn autonomous driving planning and control from tutorials

When to choose

• you want readable C++ reference implementations of classic planning/control algorithms
• you are learning autonomous driving planning and control alongside the author's blog
• you need algorithm prototypes on Ubuntu with Eigen and CMake

When to avoid

• you need a production-grade, safety-certified autonomous driving stack
• you require a maintained library with a license and long-term support
• you need Windows support or ROS integration out of the box

Facets

library · maturity active

simulation autonomous-vehicles robotics education cpp autonomous-driving path-planning control-algorithms mpc pure-pursuit lqr a-star rrt dwa dubins-curve eigen learning-resource algorithm-implementation motion-control algorithms linux cmake

Member repositories

For agents

markdown · JSON · MCP: product_card(name="CHH3213/chhRobotics_CPP")