Cover Image

Asynchronous Large Language Model Enhanced Planner for Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Yuan, Ding, Zi-han, Wang, Ziqin, Wang, Yan, Zhang, Lijun, Liu, Si
Format:	Preprint
Published:	2024
Subjects:	Robotics Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving
by: Huang, Wenhui, et al.
Published: (2026)

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
by: Jiang, Bo, et al.
Published: (2024)

UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
by: Li, Yongkang, et al.
Published: (2026)

CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
by: Zhang, Dongkun, et al.
Published: (2025)

Enhancing Autonomous Driving Safety with Collision Scenario Integration
by: Wang, Zi, et al.
Published: (2025)

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

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

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

ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
by: Li, Yongkang, et al.
Published: (2025)

A Superalignment Framework in Autonomous Driving with Large Language Models
by: Kong, Xiangrui, et al.
Published: (2024)

Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving
by: Yamazaki, Shota, et al.
Published: (2024)

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

V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models
by: Chiu, Hsu-kuang, et al.
Published: (2025)

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

DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
by: Xu, Zhenhua, et al.
Published: (2023)

MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning
by: Fu, Haoyu, et al.
Published: (2025)

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

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
by: Yu, Rui, et al.
Published: (2025)

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

Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving
by: Zhang, Dapeng, et al.
Published: (2025)

Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
by: Zheng, Xiaoji, et al.
Published: (2024)

Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology
by: Wang, Xiangyu, et al.
Published: (2024)

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

RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving
by: Huang, Zhijian, et al.
Published: (2024)

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

DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving
by: Wang, Tao, et al.
Published: (2025)

OTO Planner: An Efficient Only Travelling Once Exploration Planner for Complex and Unknown Environments
by: Zhou, Bo, et al.
Published: (2024)

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

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

A Survey on Vision-Language-Action Models for Autonomous Driving
by: Jiang, Sicong, et al.
Published: (2025)

ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
by: Zheng, Zhiyu, et al.
Published: (2025)

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

Enhancing End-to-End Autonomous Driving with Risk Semantic Distillaion from VLM
by: Qin, Jack, et al.
Published: (2025)

AsyncMDE: Real-Time Monocular Depth Estimation via Asynchronous Spatial Memory
by: Ma, Lianjie, et al.
Published: (2026)

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

Large Video Planner Enables Generalizable Robot Control
by: Chen, Boyuan, et al.
Published: (2025)

PerlAD: Towards Enhanced Closed-loop End-to-end Autonomous Driving with Pseudo-simulation-based Reinforcement Learning
by: Gao, Yinfeng, et al.
Published: (2026)

3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting
by: Lu, Haitao, et al.
Published: (2025)

Open-Ended Instruction Realization with LLM-Enabled Multi-Planner Scheduling in Autonomous Vehicles
by: Liu, Jiawei, et al.
Published: (2026)