Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
Use a controller to help a small car follow paths, drive efficiently, and avoid obstacles in various driving scenarios.
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Multi-Purpose-MPC has 351 stars on GitHub. It has been forked 71 times. Multi-Purpose-MPC is written mainly in Python. It has been in active development since 2019. Its main topics are autonomous-driving, convex-optimization, model-predictive-control, motion-planning.
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
Multi-Purpose-MPC is an open-source project.
Yes. Multi-Purpose-MPC is free and open source — you can use, modify and self-host it.
Multi-Purpose-MPC is written mainly in Python.
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