Vehicle Dynamics Embedded World Models for Autonomous Driving
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Huiqian, Pan, Wei, Zhang, Haodong, Huang, Jin, Zhong, Zhihua |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
HanoiWorld : A Joint Embedding Predictive Architecture BasedWorld Model for Autonomous Vehicle Controller
por: Dat, Tran Tien, et al.
Publicado: (2026)
por: Dat, Tran Tien, et al.
Publicado: (2026)
AdaWM: Adaptive World Model based Planning for Autonomous Driving
por: Wang, Hang, et al.
Publicado: (2025)
por: Wang, Hang, et al.
Publicado: (2025)
Ego-centric Learning of Communicative World Models for Autonomous Driving
por: Wang, Hang, et al.
Publicado: (2025)
por: Wang, Hang, et al.
Publicado: (2025)
World Models for Autonomous Driving: An Initial Survey
por: Guan, Yanchen, et al.
Publicado: (2024)
por: Guan, Yanchen, et al.
Publicado: (2024)
Unveiling the Surprising Efficacy of Navigation Understanding in End-to-End Autonomous Driving
por: Hua, Zhihua, et al.
Publicado: (2026)
por: Hua, Zhihua, et al.
Publicado: (2026)
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving
por: Deng, Nanshan, et al.
Publicado: (2025)
por: Deng, Nanshan, et al.
Publicado: (2025)
Kinematics-Aware Latent World Models for Data-Efficient Autonomous Driving
por: Li, Jiazhuo, et al.
Publicado: (2026)
por: Li, Jiazhuo, et al.
Publicado: (2026)
From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
por: Li, Yueyuan, et al.
Publicado: (2024)
por: Li, Yueyuan, et al.
Publicado: (2024)
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
por: Bogdoll, Daniel, et al.
Publicado: (2023)
por: Bogdoll, Daniel, et al.
Publicado: (2023)
LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
por: Qiao, Zhijie, et al.
Publicado: (2025)
por: Qiao, Zhijie, et al.
Publicado: (2025)
Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving
por: Xiao, Lingyu, et al.
Publicado: (2024)
por: Xiao, Lingyu, et al.
Publicado: (2024)
CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving
por: Gao, Dechen, et al.
Publicado: (2024)
por: Gao, Dechen, et al.
Publicado: (2024)
VLM-SAFE: Vision-Language Model-Guided Safety-Aware Reinforcement Learning with World Models for Autonomous Driving
por: Qu, Yansong, et al.
Publicado: (2025)
por: Qu, Yansong, et al.
Publicado: (2025)
MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving
por: Oh, Haesung, et al.
Publicado: (2026)
por: Oh, Haesung, et al.
Publicado: (2026)
Efficient Fusion and Task Guided Embedding for End-to-end Autonomous Driving
por: Guo, Yipin, et al.
Publicado: (2024)
por: Guo, Yipin, et al.
Publicado: (2024)
SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
por: Zhou, Zhiyuan, et al.
Publicado: (2024)
por: Zhou, Zhiyuan, et al.
Publicado: (2024)
Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models
por: Nachkov, Asen, et al.
Publicado: (2025)
por: Nachkov, Asen, et al.
Publicado: (2025)
On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation
por: Cui, Can, et al.
Publicado: (2024)
por: Cui, Can, et al.
Publicado: (2024)
Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics
por: V, Ragav, et al.
Publicado: (2024)
por: V, Ragav, et al.
Publicado: (2024)
Motion Forecasting for Autonomous Vehicles: A Survey
por: Shi, Jianxin, et al.
Publicado: (2025)
por: Shi, Jianxin, et al.
Publicado: (2025)
Imitation Learning for Autonomous Driving: Insights from Real-World Testing
por: Dursun, Hidayet Ersin, et al.
Publicado: (2025)
por: Dursun, Hidayet Ersin, et al.
Publicado: (2025)
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving
por: Tian, Ran, et al.
Publicado: (2024)
por: Tian, Ran, et al.
Publicado: (2024)
Sequence of Expert: Boosting Imitation Planners for Autonomous Driving through Temporal Alternation
por: Li, Xiang, et al.
Publicado: (2025)
por: Li, Xiang, et al.
Publicado: (2025)
Temporally Decoupled Diffusion Planning for Autonomous Driving
por: Li, Xiang, et al.
Publicado: (2026)
por: Li, Xiang, et al.
Publicado: (2026)
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving
por: Yang, Bo, et al.
Publicado: (2023)
por: Yang, Bo, et al.
Publicado: (2023)
Large Language Model-assisted Autonomous Vehicle Recovery from Immobilization
por: Bao, Zhipeng, et al.
Publicado: (2025)
por: Bao, Zhipeng, et al.
Publicado: (2025)
DRIVE: Dynamic Rule Inference and Verified Evaluation for Constraint-Aware Autonomous Driving
por: Geng, Longling, et al.
Publicado: (2025)
por: Geng, Longling, et al.
Publicado: (2025)
Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications
por: Chang, Cheng, et al.
Publicado: (2025)
por: Chang, Cheng, et al.
Publicado: (2025)
VERDI: VLM-Embedded Reasoning for Autonomous Driving
por: Feng, Bowen, et al.
Publicado: (2025)
por: Feng, Bowen, et al.
Publicado: (2025)
Results of the 2024 CommonRoad Motion Planning Competition for Autonomous Vehicles
por: Huang, Yanliang, et al.
Publicado: (2025)
por: Huang, Yanliang, et al.
Publicado: (2025)
DriveMind: A Dual Visual Language Model-based Reinforcement Learning Framework for Autonomous Driving
por: Wasif, Dawood, et al.
Publicado: (2025)
por: Wasif, Dawood, et al.
Publicado: (2025)
Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments
por: Jin, Xuanjin, et al.
Publicado: (2024)
por: Jin, Xuanjin, et al.
Publicado: (2024)
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
por: Weiwei, Liu, et al.
Publicado: (2024)
por: Weiwei, Liu, et al.
Publicado: (2024)
Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey
por: Dai, Wei, et al.
Publicado: (2025)
por: Dai, Wei, et al.
Publicado: (2025)
SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
por: Kim, Jongsuk, et al.
Publicado: (2025)
por: Kim, Jongsuk, et al.
Publicado: (2025)
DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
por: Zhou, Yang, et al.
Publicado: (2026)
por: Zhou, Yang, et al.
Publicado: (2026)
Redefining Safety for Autonomous Vehicles
por: Koopman, Philip, et al.
Publicado: (2024)
por: Koopman, Philip, et al.
Publicado: (2024)
Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs
por: Li, Zheng, et al.
Publicado: (2025)
por: Li, Zheng, et al.
Publicado: (2025)
Large Language Models for Human-like Autonomous Driving: A Survey
por: Li, Yun, et al.
Publicado: (2024)
por: Li, Yun, et al.
Publicado: (2024)
What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?
por: Terver, Basile, et al.
Publicado: (2025)
por: Terver, Basile, et al.
Publicado: (2025)
Ejemplares similares
-
HanoiWorld : A Joint Embedding Predictive Architecture BasedWorld Model for Autonomous Vehicle Controller
por: Dat, Tran Tien, et al.
Publicado: (2026) -
AdaWM: Adaptive World Model based Planning for Autonomous Driving
por: Wang, Hang, et al.
Publicado: (2025) -
Ego-centric Learning of Communicative World Models for Autonomous Driving
por: Wang, Hang, et al.
Publicado: (2025) -
World Models for Autonomous Driving: An Initial Survey
por: Guan, Yanchen, et al.
Publicado: (2024) -
Unveiling the Surprising Efficacy of Navigation Understanding in End-to-End Autonomous Driving
por: Hua, Zhihua, et al.
Publicado: (2026)