Image de couverture de livre

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wei, Yuxi, Wang, Zi, Lu, Yifan, Xu, Chenxin, Liu, Changxing, Zhao, Hao, Chen, Siheng, Wang, Yanfeng
Format:	Preprint
Publié:	2024
Sujets:	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

Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System
par: Liu, Genjia, et autres
Publié: (2024)

CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving
par: Liu, Changxing, et autres
Publié: (2025)

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
par: Tang, Bohan, et autres
Publié: (2022)

Linking Modality Isolation in Heterogeneous Collaborative Perception
par: Liu, Changxing, et autres
Publié: (2026)

An Extensible Framework for Open Heterogeneous Collaborative Perception
par: Lu, Yifan, et autres
Publié: (2024)

ChatDyn: Language-Driven Multi-Actor Dynamics Generation in Street Scenes
par: Wei, Yuxi, et autres
Publié: (2024)

Self-Localized Collaborative Perception
par: Ni, Zhenyang, et autres
Publié: (2024)

DrivingGaussian++: Towards Realistic Reconstruction and Editable Simulation for Surrounding Dynamic Driving Scenes
par: Xiong, Yajiao, et autres
Publié: (2025)

Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models
par: Cai, Yuzhu, et autres
Publié: (2024)

Real2Sim: A Physics-driven and Editable Gaussian Splatting Framework for Autonomous Driving Scenes
par: Huang, Kaicong, et autres
Publié: (2026)

AD-H: Language-guided Autonomous Driving with Hierarchical Agents
par: Zhang, Zaibin, et autres
Publié: (2024)

RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation
par: Du, Yuwen, et autres
Publié: (2025)

A Language Agent for Autonomous Driving
par: Mao, Jiageng, et autres
Publié: (2023)

Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving
par: Ren, Shunli, et autres
Publié: (2023)

Collaborative Perception Datasets for Autonomous Driving: A Review
par: Wang, Naibang, et autres
Publié: (2025)

Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?
par: Bai, Yifan, et autres
Publié: (2024)

BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV Latents
par: Zhang, Yumeng, et autres
Publié: (2024)

DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
par: Min, Chen, et autres
Publié: (2024)

Communication-Efficient Multi-Agent 3D Detection via Hybrid Collaboration
par: Hu, Yue, et autres
Publié: (2025)

Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
par: Ge, Junhao, et autres
Publié: (2025)

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation
par: Wang, Ruoyu, et autres
Publié: (2026)

FreeSim: Toward Free-viewpoint Camera Simulation in Driving Scenes
par: Fan, Lue, et autres
Publié: (2024)

InsightDrive: Insight Scene Representation for End-to-End Autonomous Driving
par: Song, Ruiqi, et autres
Publié: (2025)

EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction
par: Liu, Yifan, et autres
Publié: (2024)

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
par: Sun, Wenchao, et autres
Publié: (2024)

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
par: Fang, Shaoheng, et autres
Publié: (2024)

Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals
par: Fang, Shaoheng, et autres
Publié: (2024)

Efficient Physics Simulation for 3D Scenes via MLLM-Guided Gaussian Splatting
par: Zhao, Haoyu, et autres
Publié: (2024)

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing
par: Fan, Jiahe, et autres
Publié: (2026)

DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
par: Zhou, Xiaoyu, et autres
Publié: (2023)

BEV-LLM: Leveraging Multimodal BEV Maps for Scene Captioning in Autonomous Driving
par: Brandstaetter, Felix, et autres
Publié: (2025)

Point Resampling and Ray Transformation Aid to Editable NeRF Models
par: Li, Zhenyang, et autres
Publié: (2024)

HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving
par: Wu, Zehuan, et autres
Publié: (2024)

OmniScene: Attention-Augmented Multimodal 4D Scene Understanding for Autonomous Driving
par: Liu, Pei, et autres
Publié: (2025)

S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation
par: Chen, Yurui, et autres
Publié: (2024)

IRIS: Intersection-aware Ray-based Implicit Editable Scenes
par: Wilczyński, Grzegorz, et autres
Publié: (2026)

SGDrive: Scene-to-Goal Hierarchical World Cognition for Autonomous Driving
par: Li, Jingyu, et autres
Publié: (2026)

Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving
par: Yang, Sheng, et autres
Publié: (2025)

GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
par: Jiang, Shuyi, et autres
Publié: (2024)

Unsupervised Monocular Road Segmentation for Autonomous Driving via Scene Geometry
par: Rostami, Sara Hatami, et autres
Publié: (2025)