OptiLine-Py

Raceline Optimisation Toolkit

OptiLine-Py is a Python package for computing optimal racing lines around closed circuits. It offers multiple levels of fidelity — from purely geometric methods (minimum-curvature and shortest-path via QP) to lap-time proxy optimisation (CMA-ES / ZORM over kinematic velocity profiles) to full minimum-time optimal control via direct Gauss–Legendre collocation with CasADi and IPOPT. The package includes a procedural map generator, enabling the creation of arbitrarily large synthetic track datasets for machine-learning research.

Requires Python 3.10–3.12, along with NumPy, SciPy, Matplotlib, quadprog, and CasADi.

Documentation

For full documentation, API reference, usage examples, and track/vehicle data formats, see the GitHub repository.

Key dates

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  • Released:
Newer release available (0.2.5)

1 maintainer

PyPI data
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Avatar for Amirali78Farzin from gravatar.com Amirali78Farzin

Credits

Author: Amir Ali Farzin

License

MIT License (MIT)

Requires

Python <3.13, >=3.10

Tags

raceline optimization autonomous racing zeroth-order

Classifiers

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0.2.5

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0.2.4

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