A lightweight methodology for trajectory prediction of powered two-wheeler in pre-crash scenarios

Key Points

• The aim is to create an efficient prediction model for the trajectories of powered two-wheelers before a potential crash.
• Developed a lightweight trajectory prediction methodology.
• Applied dynamic modeling techniques to pre-crash scenarios.
• Tested the model's efficiency in predicting two-wheeler movements.
• Demonstrated significant improvements in prediction accuracy.
• Reduced computational load compared to traditional methods.
• Enhanced safety analysis for pre-crash situations.