Thomas Monninger

19 papers A* 1A 2C 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations. CoRR Thomas Monninger, Shaoyuan Xie, Qi Alfred Chen, Sihao Ding
2025	J	`jnl`	AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction. CoRR Thomas Monninger, Md Zafar Anwar, Stanislaw Antol, Steffen Staab, Sihao Ding
2025	J	`jnl`	AutoVDC: Automated Vision Data Cleaning Using Vision-Language Models. CoRR Santosh Vasa, Aditi Ramadwar, Jnana Rama Krishna Darabattula, Md Zafar Anwar, Stanislaw Antol, Andrei Vatavu, Thomas Monninger, Sihao Ding
2025	A	`conf`	MapDiffusion: Generative Diffusion for Vectorized Online HD Map Construction and Uncertainty Estimation in Autonomous Driving. IROS Thomas Monninger, Zihan Zhang, Zhipeng Mo, Md Zafar Anwar, Steffen Staab, Sihao Ding
2025	J	`jnl`	MapDiffusion: Generative Diffusion for Vectorized Online HD Map Construction and Uncertainty Estimation in Autonomous Driving. CoRR Thomas Monninger, Zihan Zhang, Zhipeng Mo, Md Zafar Anwar, Steffen Staab, Sihao Ding
2025	J	`jnl`	MapRF: Weakly Supervised Online HD Map Construction via NeRF-Guided Self-Training. CoRR Hongyu Lyu, Thomas Monninger, Julie Stephany Berrio Perez, Mao Shan, Zhenxing Ming, Stewart Worrall
2025	J	`jnl`	NavMapFusion: Diffusion-based Fusion of Navigation Maps for Online Vectorized HD Map Construction. CoRR Thomas Monninger, Zihan Zhang, Steffen Staab, Sihao Ding
2024	—	`conf`	LMT-Net: Lane Model Transformer Network for Automated HD Mapping from Sparse Vehicle Observations. ITSC Michael Mink, Thomas Monninger, Steffen Staab
2024	J	`jnl`	LMT-Net: Lane Model Transformer Network for Automated HD Mapping from Sparse Vehicle Observations. CoRR Michael Mink, Thomas Monninger, Steffen Staab
2024	A	`conf`	TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation. IROS Thomas Monninger, Vandana Dokkadi, Md Zafar Anwar, Steffen Staab
2024	J	`jnl`	TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation. CoRR Thomas Monninger, Vandana Dokkadi, Md Zafar Anwar, Steffen Staab
2023	A*	`conf`	Exploring Navigation Maps for Learning-Based Motion Prediction. ICRA Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
2023	J	`jnl`	Exploring Navigation Maps for Learning-Based Motion Prediction. CoRR Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
2023	C	`conf`	LMR: Lane Distance-Based Metric for Trajectory Prediction. IV Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer
2023	J	`jnl`	LMR: Lane Distance-Based Metric for Trajectory Prediction. CoRR Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer
2023	J	`jnl`	SCENE: Reasoning About Traffic Scenes Using Heterogeneous Graph Neural Networks. IEEE Robotics Autom. Lett. Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer
2023	J	`jnl`	SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks. CoRR Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer
2023	—	`conf`	Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data. ITSC Thomas Monninger, Andreas Weber, Steffen Staab
2023	J	`jnl`	Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data. CoRR Thomas Monninger, Andreas Weber, Steffen Staab