Trajectory Matching

Trajectory matching focuses on aligning sequences of data points, such as GPS coordinates or model training parameters, to corresponding reference structures like road networks or target datasets. Current research emphasizes deep learning approaches, particularly transformer-based models and generative models employing flow matching, to improve accuracy and efficiency in diverse applications. This field is crucial for advancing various domains, including smart city infrastructure development through improved map-matching of vehicle data, efficient medical data sharing via dataset distillation, and robust object tracking in complex environments.