Open-source dataset containing center lines, track widths, and optimized race lines for over 20 Formula 1 and DTM circuits worldwide.
TUMFTM/racetrack-database is an open-source collection of racing circuit geometry data, including center lines, track widths, and optimized race lines for over 20 Formula 1 and DTM tracks worldwide. It provides processed track data by combining GPS coordinates from OpenStreetMap with satellite image analysis and curvature optimization algorithms. The project solves the problem of accessing accurate, ready-to-use racing circuit geometry for simulation and research purposes.
Motorsport researchers, racing simulation developers, trajectory planning algorithm engineers, and academic institutions working on autonomous racing or vehicle dynamics. Particularly valuable for those needing pre-processed track data rather than raw GPS coordinates.
Developers choose this database because it offers professionally processed racing circuit data with optimized race lines, saving significant time compared to sourcing and processing raw GPS and imagery data themselves. The integration with companion optimization and helper libraries creates a complete ecosystem for racing trajectory work.
This repository contains center lines (x- and y-coordinates), track widths and race lines for over 20 race tracks (F1 and DTM) all over the world
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Includes data for over 20 international F1 and DTM tracks, such as Spa and Monza, providing a broad base for simulation and research without manual data collection.
Features minimum-curvature trajectories calculated using open-source optimization algorithms, directly usable for trajectory planning and saving development time.
README explicitly states that data quality varies based on source accuracy, helping users assess suitability for their specific applications from the start.
Designed to work with companion trajectory planning helper functions, facilitating spline calculation and visualization for easier algorithm development.
Relies on OpenStreetMap and satellite imagery with varying quality, making accuracy unreliable for high-fidelity simulations without additional verification.
Center lines are smoothed and may not lie perfectly in the track middle, potentially affecting boundary accuracy for precise autonomous racing algorithms.
Focuses only on F1 and DTM circuits, excluding other racing series or custom tracks, which restricts use cases beyond these specific domains.