# CHH3213/chhRobotics_CPP

自动驾驶规划控制常用算法c++代码实现

Repository: https://github.com/CHH3213/chhRobotics_CPP
Canonical: https://ross.abutalabs.com/products/chhrobotics_cpp
Language: C++
License Family: other
Last push: 2024-05-25T05:18:21+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 98
- inputs: {"age_days": 1378, "days_push": 830, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1009, forks 287 (observed 2026-08-28T04:03:12.858449+00:00)

## What it is
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
- artifact type: library
- maturity: active
- function: simulation
- domain: autonomous-vehicles, robotics, education
- platform: cpp
- tags: 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
- CHH3213/chhRobotics_CPP (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:12.858449+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:12:00.029956+00:00, confidence not recorded.
  - readme: https://github.com/CHH3213/chhRobotics_CPP (fetched 2026-08-28T04:03:12.858449+00:00, sha ec9c7f9cbace)
- Data as of 2026-08-30T08:39:29.467469+00:00.