Imagen de Portada

RealEngine: Simulating Autonomous Driving in Realistic Context

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiang, Junzhe, Song, Nan, Li, Jingyu, Zhu, Xiatian, Zhang, Li
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving
por: Zhou, Hongyu, et al.
Publicado: (2024)

DeMo++: Motion Decoupling for Autonomous Driving
por: Zhang, Bozhou, et al.
Publicado: (2025)

Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning
por: Zhang, Bozhou, et al.
Publicado: (2025)

ImagiDrive: A Unified Imagination-and-Planning Framework for Autonomous Driving
por: Li, Jingyu, et al.
Publicado: (2025)

DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models
por: Song, Jingyu, et al.
Publicado: (2025)

LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving
por: Song, Nan, et al.
Publicado: (2025)

Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution
por: Zhang, Bozhou, et al.
Publicado: (2025)

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

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

Motion Forecasting in Continuous Driving
por: Song, Nan, et al.
Publicado: (2024)

DeepInteraction++: Multi-Modality Interaction for Autonomous Driving
por: Yang, Zeyu, et al.
Publicado: (2024)

See Tomorrow, Act Today: Foresight-Driven Autonomous Driving
por: Zhang, Bozhou, et al.
Publicado: (2026)

DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation
por: Yu, Haibao, et al.
Publicado: (2025)

SymDrive: Realistic and Controllable Driving Simulator via Symmetric Auto-regressive Online Restoration
por: Liu, Zhiyuan, et al.
Publicado: (2025)

ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring
por: Li, Zhenxin, et al.
Publicado: (2025)

SimScale: Learning to Drive via Real-World Simulation at Scale
por: Tian, Haochen, et al.
Publicado: (2025)

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

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
por: Liao, Bencheng, et al.
Publicado: (2024)

Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering
por: Chen, Yurui, et al.
Publicado: (2023)

DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
por: Sun, Shuo, et al.
Publicado: (2023)

Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning
por: Li, Yue, et al.
Publicado: (2025)

Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving
por: Zhang, Bozhou, et al.
Publicado: (2025)

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

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

R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation
por: Ljungbergh, William, et al.
Publicado: (2025)

Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
por: Ge, Junhao, et al.
Publicado: (2025)

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving
por: Wang, Zhiye, et al.
Publicado: (2026)

Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library
por: Cai, Xinyu, et al.
Publicado: (2022)

3D Object Visibility Prediction in Autonomous Driving
por: Luo, Chuanyu, et al.
Publicado: (2024)

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
por: Jiang, Bo, et al.
Publicado: (2025)

DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
por: Shang, Shuyao, et al.
Publicado: (2025)

AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving
por: Yuan, Zhenlong, et al.
Publicado: (2025)

Exploring the Causality of End-to-End Autonomous Driving
por: Li, Jiankun, et al.
Publicado: (2024)

A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving Systems
por: Haghighi, Hamed, et al.
Publicado: (2023)

KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation
por: Zhao, Jianbo, et al.
Publicado: (2024)

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
por: Jia, Xiaosong, et al.
Publicado: (2024)

GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving
por: Wan, Chi, et al.
Publicado: (2025)

Pseudo-Simulation for Autonomous Driving
por: Cao, Wei, et al.
Publicado: (2025)