This repository contains a C++ implementation of the Hybrid A Star algorithm with a Python wrapper. It is used as one of the motion planning models in pylot, an erdos project.
Reference Paper: Practical Search Techniques in Path Planning for Autonomous Driving
Runtime varies heavily with the 'difficulty' of the scenario and the
discretization of search space. For example:
straight (first gif): ~ 1 ms
straight w/ obstacle (second gif): ~ 20 ms
turn w/ obstacle (third gif): ~ 3 s
git clone https://github.com/erdos-project/hybrid_astar_planner.git
./build.sh
There is a Python wrapper and C++ API. The Python wrapper is located in
HybridAStar/hybrid_astar_wrapper.py
and the C++ API is under
src/HybridAStarWrapper.cpp
.
The following command will simulate a simple scenario to run the HybridAStar planning
algorithm.
python3 HybridAStar/hybrid_astar.py