3 papers
cs.HC2024
A Lane Change Assistance System Based on Prediction of Driver Intention
Foghor Tanshi, Dirk Söffker
Lane change assistance system increase safety by providing warnings and other stability assistance to drivers to avert traffic dangers. In this contribution, lane change intention…
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…
eess.SY2024
A quantitative model of takeover request time budget for conditionally automated driving
Foghor Tanshi, Dirk Söffker
In conditional automation, the automated driving system assumes full control and only issues a takeover request to a human driver to resume driving in critical situations. Previous…