Exploring Navigation Maps for Learning-Based Motion Prediction. - Julian Schmidt; Julian Jordan; Franz Gritschneder; Thomas Monninger; Klaus Dietmayer (ICRA, 2023)

Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data. - Thomas Monninger; Andreas Weber; Steffen Staab (ITSC, 2023)

LMR: Lane Distance-Based Metric for Trajectory Prediction. - Julian Schmidt; Thomas Monninger; Julian Jordan; Klaus Dietmayer (IV, 2023)

SCENE: Reasoning About Traffic Scenes Using Heterogeneous Graph Neural Networks. - Thomas Monninger; Julian Schmidt; Jan Rupprecht; David Raba; Julian Jordan; Daniel Frank; Steffen Staab; Klaus Dietmayer (IEEE Robotics Autom. Lett., 2023)

TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation. - Thomas Monninger; Vandana Dokkadi; Md Zafar Anwar; Steffen Staab (IROS, 2024)

LMT-Net: Lane Model Transformer Network for Automated HD Mapping from Sparse Vehicle Observations. - Michael Mink; Thomas Monninger; Steffen Staab (ITSC, 2024)

AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction. - Thomas Monninger; Md Zafar Anwar; Stanislaw Antol; Steffen Staab; Sihao Ding 004 (CoRR, 2025)

AutoVDC: Automated Vision Data Cleaning Using Vision-Language Models. - Santosh Vasa; Aditi Ramadwar; Jnana Rama Krishna Darabattula; Md Zafar Anwar; Stanislaw Antol; Andrei Vatavu; Thomas Monninger; Sihao Ding 004 (CoRR, 2025)

MapDiffusion: Generative Diffusion for Vectorized Online HD Map Construction and Uncertainty Estimation in Autonomous Driving. - Thomas Monninger; Zihan Zhang; Zhipeng Mo; Md Zafar Anwar; Steffen Staab; Sihao Ding 004 (CoRR, 2025)