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racetrack-database

LGPL-3.0

Open-source dataset containing center lines, track widths, and optimized race lines for over 20 Formula 1 and DTM circuits worldwide.

GitHubGitHub
323 stars44 forks0 contributors

What is racetrack-database?

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.

Target Audience

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.

Value Proposition

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.

Overview

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

Use Cases

Best For

  • Developing lap time simulation algorithms for Formula 1 or DTM circuits
  • Researching minimum-curvature racing trajectories and optimization methods
  • Building racing simulators that require accurate track width and geometry data
  • Academic projects in vehicle dynamics or autonomous racing that need circuit data
  • Comparing different racing lines across multiple international circuits
  • Visualizing track layouts with professional-grade center lines and boundaries

Not Ideal For

  • Real-time racing simulations requiring dynamic, high-frequency track updates
  • Projects needing data for non-F1 or non-DTM racing circuits (e.g., NASCAR or local tracks)
  • Applications demanding raw, unprocessed GPS coordinates for custom geometric analysis
  • Commercial simulators with strict sub-meter accuracy requirements without manual validation

Pros & Cons

Pros

Wide Circuit Coverage

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.

Pre-Optimized Race Lines

Features minimum-curvature trajectories calculated using open-source optimization algorithms, directly usable for trajectory planning and saving development time.

Transparent Quality Assessment

README explicitly states that data quality varies based on source accuracy, helping users assess suitability for their specific applications from the start.

Integrated Helper Tools

Designed to work with companion trajectory planning helper functions, facilitating spline calculation and visualization for easier algorithm development.

Cons

Inconsistent Data Precision

Relies on OpenStreetMap and satellite imagery with varying quality, making accuracy unreliable for high-fidelity simulations without additional verification.

Smoothed Geometry Artifacts

Center lines are smoothed and may not lie perfectly in the track middle, potentially affecting boundary accuracy for precise autonomous racing algorithms.

Limited Track Variety

Focuses only on F1 and DTM circuits, excluding other racing series or custom tracks, which restricts use cases beyond these specific domains.

Frequently Asked Questions

Quick Stats

Stars323
Forks44
Contributors0
Open Issues0
Last commit5 years ago
CreatedSince 2020

Tags

#gps-data#formula-1#trajectory-optimization#openstreetmap-data

Built With

P
Python
O
OpenStreetMap

Included in

Robotic Tooling3.8k
Auto-fetched 1 day ago

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