| Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches R Korbmacher, A Tordeux IEEE Transactions on Intelligent Transportation Systems 23 (12), 24126-24144, 2022 | 80 | 2022 |
| Predicting pedestrian trajectories at different densities: A multi-criteria empirical analysis R Korbmacher, HT Dang, A Tordeux Physica A: Statistical Mechanics and its Applications 634, 129440, 2024 | 7 | 2024 |
| Heterogeneity-induced lane and band formation in self-driven particle systems B Khelfa, R Korbmacher, A Schadschneider, A Tordeux Scientific reports 12 (1), 4768, 2022 | 7 | 2022 |
| TTC-SLSTM: Human trajectory prediction using time-to-collision interaction energy HT Dang, R Korbmacher, A Tordeux, B Gaudou, N Verstaevel 2023 15th International Conference on Knowledge and Systems Engineering (KSE …, 2023 | 5 | 2023 |
| Differences in pedestrian trajectory predictions for high-and low-density situations R Korbmacher, T Dang-Huu, A Tordeux, N Verstaevel, B Gaudou 14th International Conference On Traffic And Granular Flow (TGF) 2022, à …, 2022 | 5 | 2022 |
| Time-continuous microscopic pedestrian models: an overview R Korbmacher, A Nicolas, A Tordeux, C Totzeck Crowd Dynamics, Volume 4: Analytics and Human Factors in Crowd Modeling, 55-80, 2023 | 4 | 2023 |
| Multi-agent modelling of dense crowd dynamics (madras): Application to the festival of lights (lyon) M Chraibi, J Cordes, HT Dang, O Dufour, B Gaudou, R Korbmacher, ... 11th International Conference on Pedestrian and Evacuation Dynamics (PED2023), 2023 | 1 | 2023 |
| Toward better pedestrian trajectory predictions: the role of density and time-to-collision in hybrid deep-learning algorithms R Korbmacher, A Tordeux Sensors 24 (7), 2356, 2024 | | 2024 |
| Towards Better Predictive Models: The Role of Density in Pedestrian Trajectory Predictions R Korbmacher, A Tordeux Preprints, 2024 | | 2024 |
| Deep Learning for Predicting Pedestrian Trajectories in Crowds R Korbmacher, A Tordeux Intelligent Systems Conference, 720-725, 2023 | | 2023 |
| Using time-to-collision in the loss function of deep learning algorithm to improve pedestrian trajectory predictions R Korbmacher, HT Dang, A Tordeux 11th International Conference on Pedestrian and Evacuation Dynamics (PED 2023), 2023 | | 2023 |
| Empirical Comparison of Different Pedestrian Trajectory Prediction Methods at High Densities R Korbmacher, HT Dang, A Tordeux, B Gaudou, N Verstaevel International Conference on Traffic and Granular Flow, 231-238, 2022 | | 2022 |
| Proceedings of GAMA days 2022 C Adam, F Taillandier, L Biré, QN Phung, DA Phung, P Taillandier, ... | | 2022 |
| Using synthetic data to improve performance of data-driven algorithms in high density pedestrian situations R Korbmacher, HT Dang, A Tordeux, B Gaudou, N Verstaevel 2nd conference GAMA Days 2022, 2022 | | 2022 |
| Pedestrian Trajectory Predictions at High-densities: Insights and Comparisons D Huu-Tu, R Korbmacher | | 2022 |
| Initiating lane and band formation in heterogeneous pedestrian dynamics B Khelfa, R Korbmacher, A Schadschneider, A Tordeux Collective Dynamics 6, 1-13, 2021 | | 2021 |
