Dual-Weight Particle Filter for Radar-Based Dynamic Bayesian Grid Maps. - Max Peter Ronecker; Michael Stolz; Daniel Watzenig (MOST, 2023)

Deep Q-Network Based Decision Making for Autonomous Driving. - Max Peter Ronecker; Yuan Zhu (CoRR, 2023)

Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach. - Max Peter Ronecker; Markus Schratter; Lukas Kuschnig; Daniel Watzenig (ICRA, 2024)

Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping. - Max Peter Ronecker; Xavier Diaz; Michael Karner; Daniel Watzenig (IV, 2024)

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring. - Raul David Dominguez Sanchez; Xavier Jair Diaz Ortiz; Xingcheng Zhou; Max Peter Ronecker; Michael Karner; Daniel Watzenig; Alois Knoll (CoRR, 2025)

A Data-Centric Approach to 3D Semantic Segmentation of Railway Scenes. - Nicolas Münger; Max Peter Ronecker; Xavier Diaz; Michael Karner; Daniel Watzenig; Jan Skaloud (CoRR, 2025)

Vision Foundation Model Embedding-Based Semantic Anomaly Detection. - Max Peter Ronecker; Matthew Foutter; Amine Elhafsi; Daniele Gammelli; Ihor Barakaiev; Marco Pavone 001; Daniel Watzenig (CoRR, 2025)

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox. - Xavier Diaz; Gianluca D'Amico; Raul David Dominguez Sanchez; Federico Nesti; Max Peter Ronecker; Giorgio C. Buttazzo (CoRR, 2025)