Cover Image

AD-H: Language-guided Autonomous Driving with Hierarchical Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zaibin, Fu, Talas, Tang, Shiyu, Zhang, Yuanhang, Wang, Yifan, Wang, Lijun, Lu, Huchuan
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BEV-IO: Enhancing Bird's-Eye-View 3D Detection with Instance Occupancy
by: Zhang, Zaibin, et al.
Published: (2023)

From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction
by: Zhao, Zhida, et al.
Published: (2025)

Think3D: Thinking with Space for Spatial Reasoning
by: Zhang, Zaibin, et al.
Published: (2026)

AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual Segmentation
by: Gong, Sitong, et al.
Published: (2025)

Learning Universal Features for Generalizable Image Forgery Localization
by: Zhao, Hengrun, et al.
Published: (2025)

AR-MOT: Autoregressive Multi-object Tracking
by: Jia, Lianjie, et al.
Published: (2026)

CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving
by: Ma, Enhui, et al.
Published: (2025)

Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
by: Chen, Yuan, et al.
Published: (2024)

GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
by: Zhang, Yunpeng, et al.
Published: (2024)

GenAD: Generative End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)

FlowAD: Ego-Scene Interactive Modeling for Autonomous Driving
by: Guo, Mingzhe, et al.
Published: (2026)

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024)

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
by: Wei, Yuxi, et al.
Published: (2024)

WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model
by: Zhang, Songyan, et al.
Published: (2024)

Assessment of Multimodal Large Language Models in Alignment with Human Values
by: Shi, Zhelun, et al.
Published: (2024)

AHMSA-Net: Adaptive Hierarchical Multi-Scale Attention Network for Micro-Expression Recognition
by: Zhang, Lijun, et al.
Published: (2025)

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

HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder
by: Tang, Yingqi, et al.
Published: (2025)

SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving
by: Zhang, Diankun, et al.
Published: (2024)

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

GenAD: Generalized Predictive Model for Autonomous Driving
by: Yang, Jiazhi, et al.
Published: (2024)

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
by: Tang, Yihong, et al.
Published: (2025)

Language Prompt for Autonomous Driving
by: Wu, Dongming, et al.
Published: (2023)

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
by: Xia, Zhongyu, et al.
Published: (2024)

Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion
by: Yu, Songsong, et al.
Published: (2025)

UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty
by: Yang, Pengxuan, et al.
Published: (2025)

VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
by: Xu, Yi, et al.
Published: (2024)

RAGTrack: Language-aware RGBT Tracking with Retrieval-Augmented Generation
by: Li, Hao, et al.
Published: (2026)

Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving
by: Zhao, Zongchuang, et al.
Published: (2025)

A Language Agent for Autonomous Driving
by: Mao, Jiageng, et al.
Published: (2023)

AD-GS: Object-Aware B-Spline Gaussian Splatting for Self-Supervised Autonomous Driving
by: Xu, Jiawei, et al.
Published: (2025)

Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
by: He, Junwen, et al.
Published: (2024)

LATex: Leveraging Attribute-based Text Knowledge for Aerial-Ground Person Re-Identification
by: Zhang, Pingping, et al.
Published: (2025)

Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving
by: Dai, Yuqi, et al.
Published: (2024)

SGDrive: Scene-to-Goal Hierarchical World Cognition for Autonomous Driving
by: Li, Jingyu, et al.
Published: (2026)

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
by: Fu, Haoyu, et al.
Published: (2025)

AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions
by: Wei, Zhaoyang, et al.
Published: (2025)

Other Tokens Matter: Exploring Global and Local Features of Vision Transformers for Object Re-Identification
by: Wang, Yingquan, et al.
Published: (2024)

AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models
by: Yan, Tianyi, et al.
Published: (2025)

HFP-SAM: Hierarchical Frequency Prompted SAM for Efficient Marine Animal Segmentation
by: Zhang, Pingping, et al.
Published: (2026)