Saved in:
| Main Authors: | Konstantinidis, Fabian, Sackmann, Moritz, Hofmann, Ulrich, Stiller, Christoph |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.05812 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conditional Prediction by Simulation for Automated Driving
by: Konstantinidis, Fabian, et al.
Published: (2025)
by: Konstantinidis, Fabian, et al.
Published: (2025)
From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving
by: Konstantinidis, Fabian, et al.
Published: (2025)
by: Konstantinidis, Fabian, et al.
Published: (2025)
SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts
by: Wagner, Royden, et al.
Published: (2024)
by: Wagner, Royden, et al.
Published: (2024)
Generation of Training Data from HD Maps in the Lanelet2 Framework
by: Immel, Fabian, et al.
Published: (2024)
by: Immel, Fabian, et al.
Published: (2024)
M3TR: A Generalist Model for Real-World HD Map Completion
by: Immel, Fabian, et al.
Published: (2024)
by: Immel, Fabian, et al.
Published: (2024)
SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
by: Immel, Fabian, et al.
Published: (2025)
by: Immel, Fabian, et al.
Published: (2025)
Impact of Localization Errors on Label Quality for Online HD Map Construction
by: Blumberg, Alexander, et al.
Published: (2026)
by: Blumberg, Alexander, et al.
Published: (2026)
BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop Driving
by: Winter, Katharina, et al.
Published: (2025)
by: Winter, Katharina, et al.
Published: (2025)
Robust Self-Tuning Data Association for Geo-Referencing Using Lane Markings
by: Muñoz-Bañón, Miguel Ángel, et al.
Published: (2022)
by: Muñoz-Bañón, Miguel Ángel, et al.
Published: (2022)
MapGCLR: Geospatial Contrastive Learning of Representations for Online Vectorized HD Map Construction
by: Merkert, Jonas, et al.
Published: (2026)
by: Merkert, Jonas, et al.
Published: (2026)
Post-Training and Test-Time Scaling of Generative Agent Behavior Models for Interactive Autonomous Driving
by: Seong, Hyunki, et al.
Published: (2025)
by: Seong, Hyunki, et al.
Published: (2025)
RedMotion: Motion Prediction via Redundancy Reduction
by: Wagner, Royden, et al.
Published: (2023)
by: Wagner, Royden, et al.
Published: (2023)
Safe2Drive: Evaluating Safe Driving Behaviors of E2E Autonomous Driving Models
by: Sahu, Nishad, et al.
Published: (2026)
by: Sahu, Nishad, et al.
Published: (2026)
CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
Efficient Equivariant Transformer for Self-Driving Agent Modeling
by: Xu, Scott, et al.
Published: (2026)
by: Xu, Scott, et al.
Published: (2026)
LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset
by: Wagner, Royden, et al.
Published: (2026)
by: Wagner, Royden, et al.
Published: (2026)
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2024)
by: Jia, Xiaosong, et al.
Published: (2024)
MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)
by: Yasarla, Rajeev, et al.
Published: (2026)
Efficient Driving Behavior Narration and Reasoning on Edge Device Using Large Language Models
by: Huang, Yizhou, et al.
Published: (2024)
by: Huang, Yizhou, et al.
Published: (2024)
Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
by: Wu, Cho-Ying, et al.
Published: (2020)
by: Wu, Cho-Ying, et al.
Published: (2020)
LAD-Drive: Bridging Language and Trajectory with Action-Aware Diffusion Transformers
by: Schmidt, Fabian, et al.
Published: (2026)
by: Schmidt, Fabian, et al.
Published: (2026)
SymDrive: Realistic and Controllable Driving Simulator via Symmetric Auto-regressive Online Restoration
by: Liu, Zhiyuan, et al.
Published: (2025)
by: Liu, Zhiyuan, et al.
Published: (2025)
RealEngine: Simulating Autonomous Driving in Realistic Context
by: Jiang, Junzhe, et al.
Published: (2025)
by: Jiang, Junzhe, et al.
Published: (2025)
ReSim: Reliable World Simulation for Autonomous Driving
by: Yang, Jiazhi, et al.
Published: (2025)
by: Yang, Jiazhi, et al.
Published: (2025)
Distilling Multi-modal Large Language Models for Autonomous Driving
by: Hegde, Deepti, et al.
Published: (2025)
by: Hegde, Deepti, et al.
Published: (2025)
Behavioral Cloning Models Reality Check for Autonomous Driving
by: Yildirim, Mustafa, et al.
Published: (2024)
by: Yildirim, Mustafa, et al.
Published: (2024)
DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
by: Yu, Rui, et al.
Published: (2025)
by: Yu, Rui, et al.
Published: (2025)
Residual Vector Quantization For Communication-Efficient Multi-Agent Perception
by: Shenkut, Dereje, et al.
Published: (2025)
by: Shenkut, Dereje, et al.
Published: (2025)
DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation
by: Yu, Haibao, et al.
Published: (2025)
by: Yu, Haibao, et al.
Published: (2025)
DriveGPT: Scaling Autoregressive Behavior Models for Driving
by: Huang, Xin, et al.
Published: (2024)
by: Huang, Xin, et al.
Published: (2024)
UniDWM: Towards a Unified Driving World Model via Multifaceted Representation Learning
by: Liu, Shuai, et al.
Published: (2026)
by: Liu, Shuai, et al.
Published: (2026)
KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation
by: Zhao, Jianbo, et al.
Published: (2024)
by: Zhao, Jianbo, et al.
Published: (2024)
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
by: Rowe, Luke, et al.
Published: (2025)
by: Rowe, Luke, et al.
Published: (2025)
SimScale: Learning to Drive via Real-World Simulation at Scale
by: Tian, Haochen, et al.
Published: (2025)
by: Tian, Haochen, et al.
Published: (2025)
PRIBOOT: A New Data-Driven Expert for Improved Driving Simulations
by: Coelho, Daniel, et al.
Published: (2024)
by: Coelho, Daniel, et al.
Published: (2024)
Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving
by: Han, Jianhua, et al.
Published: (2025)
by: Han, Jianhua, et al.
Published: (2025)
Work Zones challenge VLM Trajectory Planning: Toward Mitigation and Robust Autonomous Driving
by: Liao, Yifan, et al.
Published: (2025)
by: Liao, Yifan, et al.
Published: (2025)
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving
by: Lai, Songning, et al.
Published: (2024)
by: Lai, Songning, et al.
Published: (2024)
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
by: Xie, Shaoyuan, et al.
Published: (2024)
by: Xie, Shaoyuan, et al.
Published: (2024)
Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving
by: Ivanovic, Boris, et al.
Published: (2025)
by: Ivanovic, Boris, et al.
Published: (2025)
Similar Items
-
Conditional Prediction by Simulation for Automated Driving
by: Konstantinidis, Fabian, et al.
Published: (2025) -
From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving
by: Konstantinidis, Fabian, et al.
Published: (2025) -
SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts
by: Wagner, Royden, et al.
Published: (2024) -
Generation of Training Data from HD Maps in the Lanelet2 Framework
by: Immel, Fabian, et al.
Published: (2024) -
M3TR: A Generalist Model for Real-World HD Map Completion
by: Immel, Fabian, et al.
Published: (2024)