leoll2/Autoparking
Self parking with reinforcement learning
Autoparking simulates a car parking itself by learning through trial and error. It takes a car's starting position and a parking spot as input, then calculates and executes the necessary maneuvers to park the car without hitting obstacles. This tool is for anyone interested in observing or developing autonomous driving algorithms, particularly those focused on self-parking.
No commits in the last 6 months.
Use this if you want to explore how a car can learn to park autonomously using reinforcement learning in a simulated environment.
Not ideal if you are looking for a real-world autonomous parking system or a general-purpose driving simulator.
Stars
82
Forks
34
Language
C++
License
MIT
Category
Last pushed
Jun 06, 2022
Commits (30d)
0
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