Image de couverture de livre

123D: Unifying Multi-Modal Autonomous Driving Data at Scale

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dauner, Daniel, Charraut, Valentin, Berle, Bastian, Li, Tianyu, Nguyen, Long, Wang, Jiabao, Jing, Changhui, Igl, Maximilian, Caesar, Holger, Ivanovic, Boris, Liao, Yiyi, Geiger, Andreas, Chitta, Kashyap
Format:	Preprint
Publié:	2026
Sujets:	Robotics Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving
par: Nguyen, Long, et autres
Publié: (2025)

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic
par: Chitta, Kashyap, et autres
Publié: (2024)

Pseudo-Simulation for Autonomous Driving
par: Cao, Wei, et autres
Publié: (2025)

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
par: Dauner, Daniel, et autres
Publié: (2024)

CaRL: Learning Scalable Planning Policies with Simple Rewards
par: Jaeger, Bernhard, et autres
Publié: (2025)

V-Max: A Reinforcement Learning Framework for Autonomous Driving
par: Charraut, Valentin, et autres
Publié: (2025)

End-to-end Autonomous Driving: Challenges and Frontiers
par: Chen, Li, et autres
Publié: (2023)

RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies
par: Garcia-Cobo, Guillermo, et autres
Publié: (2025)

Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning
par: Huang, Zhiyu, et autres
Publié: (2024)

PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes
par: Tze, Christina Ourania, et autres
Publié: (2025)

Hidden Biases of End-to-End Driving Datasets
par: Zimmerlin, Julian, et autres
Publié: (2024)

The Constant Eye: Benchmarking and Bridging Appearance Robustness in Autonomous Driving
par: Wang, Jiabao, et autres
Publié: (2026)

HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving
par: Zhou, Hongyu, et autres
Publié: (2024)

Centaur: Robust End-to-End Autonomous Driving with Test-Time Training
par: Sima, Chonghao, et autres
Publié: (2025)

ReSim: Reliable World Simulation for Autonomous Driving
par: Yang, Jiazhi, et autres
Publié: (2025)

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
par: Zhang, Zhejun, et autres
Publié: (2024)

GenAD: Generalized Predictive Model for Autonomous Driving
par: Yang, Jiazhi, et autres
Publié: (2024)

nuScenes Revisited: Progress and Challenges in Autonomous Driving
par: Fong, Whye Kit, et autres
Publié: (2025)

Latent Chain-of-Thought World Modeling for End-to-End Driving
par: Tan, Shuhan, et autres
Publié: (2025)

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
par: Gao, Shenyuan, et autres
Publié: (2024)

DriveLM: Driving with Graph Visual Question Answering
par: Sima, Chonghao, et autres
Publié: (2023)

NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
par: Ljungbergh, William, et autres
Publié: (2024)

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving
par: Huang, Zhiyu, et autres
Publié: (2023)

The Association of Posttraumatic Stress Disorder, Complex Posttraumatic Stress Disorder and Depression: A Network Approach
par: Yihan Gai, et autres
Publié: (2025)

Data Scaling Laws for End-to-End Autonomous Driving
par: Naumann, Alexander, et autres
Publié: (2025)

CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving
par: Song, Rui, et autres
Publié: (2025)

BikeScenes: Online LiDAR Semantic Segmentation for Bicycles
par: Goren, Denniz, et autres
Publié: (2025)

ICP-Flow: LiDAR Scene Flow Estimation with ICP
par: Lin, Yancong, et autres
Publié: (2024)

Offline Tracking with Object Permanence
par: Liu, Xianzhong, et autres
Publié: (2023)

Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving
par: Tian, Ran, et autres
Publié: (2024)

Probing the Reliability of Driving VLMs: From Inconsistent Responses to Grounded Temporal Reasoning
par: Chang, Chun-Peng, et autres
Publié: (2026)

Multiple-Frequencies Population-Based Training
par: Doulazmi, Waël, et autres
Publié: (2025)

Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations
par: Bitzer, Matthias, et autres
Publié: (2024)

MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
par: Wu, Zirui, et autres
Publié: (2023)

Unified End-to-End V2X Cooperative Autonomous Driving
par: Li, Zhiwei, et autres
Publié: (2024)

UniBEV: Multi-modal 3D Object Detection with Uniform BEV Encoders for Robustness against Missing Sensor Modalities
par: Wang, Shiming, et autres
Publié: (2023)

Fully Unified Motion Planning for End-to-End Autonomous Driving
par: Liu, Lin, et autres
Publié: (2025)

UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
par: Li, Yongkang, et autres
Publié: (2026)

STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes
par: Yang, Jiawei, et autres
Publié: (2024)

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving
par: Ivanovic, Boris, et autres
Publié: (2025)