Copertina

GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Russell, Lloyd, Hu, Anthony, Bertoni, Lorenzo, Fedoseev, George, Shotton, Jamie, Arani, Elahe, Corrado, Gianluca
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LingoQA: Visual Question Answering for Autonomous Driving
di: Marcu, Ana-Maria, et al.
Pubblicazione: (2023)

SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
di: Renz, Katrin, et al.
Pubblicazione: (2025)

WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving
di: Zürn, Jannik, et al.
Pubblicazione: (2024)

LangProp: A code optimization framework using Large Language Models applied to driving
di: Ishida, Shu, et al.
Pubblicazione: (2024)

CarLLaVA: Vision language models for camera-only closed-loop driving
di: Renz, Katrin, et al.
Pubblicazione: (2024)

CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving
di: Delavari, Elahe, et al.
Pubblicazione: (2025)

Learning Direct Control Policies with Flow Matching for Autonomous Driving
di: Ceresini, Marcello, et al.
Pubblicazione: (2026)

SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control
di: Huang, Binyuan, et al.
Pubblicazione: (2024)

OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving
di: Wei, Julong, et al.
Pubblicazione: (2024)

DragTraffic: Interactive and Controllable Traffic Scene Generation for Autonomous Driving
di: Wang, Sheng, et al.
Pubblicazione: (2024)

HybridWorldSim: A Scalable and Controllable High-fidelity Simulator for Autonomous Driving
di: Li, Qiang, et al.
Pubblicazione: (2025)

A Survey of World Models for Autonomous Driving
di: Feng, Tuo, et al.
Pubblicazione: (2025)

Map-World: Masked Action planning and Path-Integral World Model for Autonomous Driving
di: Hu, Bin, et al.
Pubblicazione: (2025)

Uni-World VLA: Interleaved World Modeling and Planning for Autonomous Driving
di: Liu, Qiqi, et al.
Pubblicazione: (2026)

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control
di: Chen, Anthony, et al.
Pubblicazione: (2025)

Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving
di: Sun, Jiangxin, et al.
Pubblicazione: (2026)

DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
di: jia, Feiyang, et al.
Pubblicazione: (2026)

DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving
di: Liu, Xiaolu, et al.
Pubblicazione: (2026)

ReSim: Reliable World Simulation for Autonomous Driving
di: Yang, Jiazhi, et al.
Pubblicazione: (2025)

Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
di: Xie, Shaoyuan, et al.
Pubblicazione: (2024)

Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation
di: Hoven, Max van den, et al.
Pubblicazione: (2025)

ACT-Bench: Towards Action Controllable World Models for Autonomous Driving
di: Arai, Hidehisa, et al.
Pubblicazione: (2024)

DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
di: Zhou, Yang, et al.
Pubblicazione: (2026)

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey
di: Gong, Yan, et al.
Pubblicazione: (2025)

Controllable Pedestrian Video Editing for Multi-View Driving Scenarios via Motion Sequence
di: Fu, Danzhen, et al.
Pubblicazione: (2025)

WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving
di: Yang, Pengxuan, et al.
Pubblicazione: (2025)

DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving
di: Shang, Shuyao, et al.
Pubblicazione: (2026)

LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving
di: Mohapatra, Sambit, et al.
Pubblicazione: (2023)

ComDrive: Comfort-Oriented End-to-End Autonomous Driving
di: Wang, Junming, et al.
Pubblicazione: (2024)

Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
di: Wang, Linbo, et al.
Pubblicazione: (2026)

Unifying Language-Action Understanding and Generation for Autonomous Driving
di: Wang, Xinyang, et al.
Pubblicazione: (2026)

Generalizing Motion Planners with Mixture of Experts for Autonomous Driving
di: Sun, Qiao, et al.
Pubblicazione: (2024)

Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving
di: Sani, Depanshu, et al.
Pubblicazione: (2024)

Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
di: Lange, Bernard, et al.
Pubblicazione: (2024)

Distilling Multi-modal Large Language Models for Autonomous Driving
di: Hegde, Deepti, et al.
Pubblicazione: (2025)

Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving
di: Geng, Jiaheng, et al.
Pubblicazione: (2025)

Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey
di: Fu, Ao, et al.
Pubblicazione: (2024)

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models
di: Cho, Hoonhee, et al.
Pubblicazione: (2026)

GAD-Generative Learning for HD Map-Free Autonomous Driving
di: Sun, Weijian, et al.
Pubblicazione: (2024)

Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges
di: Oksuz, Kemal, et al.
Pubblicazione: (2025)