Probabilistic Map-based Pedestrian Motion Prediction Taking Traffic Participants into Consideration. - Jingyuan Wu; Johannes Ruenz; Matthias Althoff (Intelligent Vehicles Symposium, 2018)

Calibration of Controlled Markov Chains for Predicting Pedestrian Crossing Behavior Using Multi-objective Genetic Algorithms. - Jingyuan Wu; Johannes Ruenz; Matthias Althoff (ITSC, 2019)

Pedestrian Models for Autonomous Driving Part II: high level models of human behaviour. - Fanta Camara; Nicola Bellotto; Serhan Cosar; Florian Weber; Dimitris Nathanael; Matthias Althoff; Jingyuan Wu; Johannes Ruenz; André Dietrich; Gustav Markkula; Anna Schieben; Fabio Tango; et al. (CoRR, 2020)

Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking. - Fanta Camara; Nicola Bellotto; Serhan Cosar; Dimitris Nathanael; Matthias Althoff; Jingyuan Wu; Johannes Ruenz; André Dietrich; Charles W. Fox (IEEE Trans. Intell. Transp. Syst., 2021)

Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior. - Fanta Camara; Nicola Bellotto; Serhan Cosar; Florian Weber; Dimitris Nathanael; Matthias Althoff; Jingyuan Wu; Johannes Ruenz; André Dietrich; Gustav Markkula; Anna Schieben; Fabio Tango; et al. (IEEE Trans. Intell. Transp. Syst., 2021)

Goal-Oriented Pedestrian Motion Prediction. - Jingyuan Wu; Johannes Ruenz; Hendrik Berkemeyer; Liza Dixon; Matthias Althoff (IEEE Trans. Intell. Transp. Syst., 2024)