Trajectory Prediction Error

Trajectory prediction error, the discrepancy between predicted and actual movements, is a critical challenge across diverse fields like autonomous driving and robotics. Current research focuses on improving prediction accuracy through methods such as probabilistic models (e.g., Gaussian mixture models and diffusion models), optimization techniques to refine initial estimates and mitigate the accumulation of errors, and the development of novel error metrics less sensitive to outliers. Addressing this error is crucial for enhancing the reliability and safety of autonomous systems and improving the efficiency of data-driven model training.