A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor...

Area of Science:

• Road safety engineering
• Motorcycle dynamics
• Sensor fusion and data analysis

Background:

• Motorcycle riders are highly vulnerable road users, with single-vehicle loss-of-control crashes in bends contributing significantly to fatalities.
• Existing methods for evaluating rider performance lack objectivity and precision, hindering effective training and safety improvements.

Purpose of the Study:

• To develop and validate a system for accurate motorcycle trajectory reconstruction during bend negotiation.
• To provide an objective tool for evaluating rider technique and improving motorcycle safety training.

Main Methods:

• Instrumentation of a motorcycle with redundant reference and low-cost sensors to capture rider actions (roll, steering) and vehicle dynamics (position, velocity, acceleration, heading, attitude).
• Development of an algorithmic study for precise trajectory reconstruction using multi-sensor data.
• Validation of the system's accuracy against fixed-point positioning.

Main Results:

• The developed system accurately reconstructs motorcycle trajectories in bends, achieving accuracy comparable to fixed-point positioning systems.
• The multi-sensor platform effectively captures critical rider and motorcycle data for trajectory analysis.

Conclusions:

• The validated system offers an objective method for assessing motorcycle rider performance in bends.
• This technology will be utilized by the French Gendarmerie for rider training, aiming to enhance safety, efficiency, and comfort.