自动驾驶规划控制常用算法c++代码实现

A header only c++ package for convex decomposition using ellipsoids

Create spline in 2D or 3D space using (n) number of control points.

Unconstrained optimization for bspline with trajectory server for ROS

《ROS编程实操案例》

A scout2 robot carrying RS16 lidar/IMU/D435 sensors，running LIO-SAM in a room!

Standalone dynamic corridor simulation for Gazebo

Spatio-temporal trajectory optimization for autonomous vehicles using trapezoid-prism shaped corridors and bezier curves

自动驾驶规划控制python代码实现

参考高翔的自动驾驶与机器人中的SLAM技术的第四章，使用ROS2实现基于图优化和预积分的惯性导航系统。

基于ROS2的ORB-SLAM2，符合现代C++的写法，并且添加地图的保存与加载功能

基于似然场配准和栅格地图的2d-SLAM，并实现基于子地图的金字塔式回环闭合策略。

Source code of ICRA 2021 paper submission

使用C++对Minimum Snap算法进行了实现，实现的结果超过了论文中给出的计算速度。并且实现了三维和二维的Minimum Snap轨迹生成算法

Iterative Linear-Quadratic Games!

Path-planning for self-driving cars

Path planning for autonomous vehicles

Differential Wheeled Mobile Robot - Nonlinear Model Predictive Control based on ROS

Optimal Trajectory Generation in Frenet Frame for Motion Planning

A trajectory generator utilizing the A-star algorithm in conjunction with a Nonlinear Model Predictive Control solver to obtain a smooth trajectory that satisfies vehicle constraints.

Path planning implemented with behavior trees

My solution for udacity path planning project. This makes the car drive > 20 miles without collision without constraint violation

C++ implementation of RRT, RRT*, and Informed-RRT* using kd-tree for searching NN and NBHD nodes. Supports arbitrary dimensions and compiles as a shared library.

Optimization-based real-time path planning for vehicles.

Autonomous Navigation of a vehicle in simulated highway driving environment (making lane changes as per surrounding traffic, avoiding collisions and minimizing jerks)

Implementation of the Frenet Optimal Planning Algorithm (with modifications) in ROS.