2 papers
cs.LG2025
Reliability comparison of vessel trajectory prediction models via Probability of Detection
Zahra Rastin, Kathrin Donandt, Dirk Söffker
This contribution addresses vessel trajectory prediction (VTP), focusing on the evaluation of different deep learning-based approaches. The objective is to assess model performance…
eess.SY2024
Advanced POD-Based Performance Evaluation of Classifiers Applied to Human Driver Lane Changing Prediction
Zahra Rastin, Dirk Söffker
Machine learning (ML) classifiers serve as essential tools facilitating classification and prediction across various domains. The performance of these algorithms should be known to…