Trajectory Accuracy

Trajectory accuracy, the precision of estimating or predicting the path of an object over time, is crucial across diverse fields, from autonomous vehicle navigation to human-robot interaction. Current research focuses on improving trajectory estimation through advanced models like Gaussian processes, splines, and neural networks (including transformers and recurrent architectures), often incorporating contextual information (e.g., environmental maps, sensor data) to enhance accuracy and robustness. These advancements are vital for improving the safety and reliability of autonomous systems and enabling more sophisticated applications in areas such as robotics, computer vision, and traffic simulation.