smart-racing-data#

Electrathon Ghost Line

A driver profiling and track optimization system for IEEE Electrathon vehicles.
This project helps drivers analyze previous races and compare their performance against optimal trajectories.

Features

• Data acquisition from GPS, IMU, and CANBUS telemetry.
• Track mapping using the "slow lap" method.
• Vehicle dynamics simulation and parameter modeling.
• Lap-time and energy-optimal trajectory generation.
• Real-time feedback for drivers with "ghost line" display.
• Webpage interface to view driver statistics, past races, and improvement tips.

Project Roadmap

1. Data Acquisition
   • Collect GPS and IMU data along the track.
   • Calculate track width and reference points.
2. Vehicle Modeling
   • Convert SolidWorks parameters into simulation-ready input.
   • Include mass, motor curves, drag, and tire friction.
3. Trajectory Optimization
   • Generate energy-limited optimal racing lines.
   • Output trajectory data for analysis and feedback.
4. Ghost Line Feedback
   • Compare driver position and speed to optimal trajectory.
   • Display real-time guidance on steering, throttle, and braking.
5. Web Interface
   • Display individual driver statistics.
   • Provide improvement recommendations.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

Contributions are welcome! Please follow the structure above and document new data or features clearly.