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SimplePlanner

Simple 2D implement of "Planning Dynamically Feasible Trajectories for Quadrotors Using Safe Flight Corridors in 3-D Complex Environments"

Install / Use

/learn @flztiii/SimplePlanner
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

SimplePlanner

Simple 2D implement of the paper "Planning Dynamically Feasible Trajectories for Quadrotors Using Safe Flight Corridors in 3-D Complex Environments".

Figure_1

Info

This repo only aims to help to better understand the paper "Planning Dynamically Feasible Trajectories for Quadrotors Using Safe Flight Corridors in 3-D Complex Environments".

Modules

This repo include three modules:

jps.py is the implement of the Jump Point Search (JPS) algorithm.

convex_decomp.py is the implement of the convex decompose according to a given path.

trajectory_optmization.py is the implement of the trajectory optimization. The trajectory is a piece-wise bezier curve and the optimization solver is osqp.

Related Skills

View on GitHub
GitHub Stars29
CategoryDevelopment
Updated16d ago
Forks3

Languages

Python

Security Score

75/100

Audited on Mar 15, 2026

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