Cover Image

DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hou, Xinmeng, Wang, Wuqi, Yang, Long, Lin, Hao, Feng, Jinglun, Min, Haigen, Zhao, Xiangmo
Format:	Preprint
Published:	2025
Subjects:	Robotics Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DarkDriving: A Real-World Day and Night Aligned Dataset for Autonomous Driving in the Dark Environment
by: Wang, Wuqi, et al.
Published: (2026)

Boreas Road Trip: A Multi-Sensor Autonomous Driving Dataset on Challenging Roads
by: Lisus, Daniil, et al.
Published: (2026)

Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
by: Liu, Haochen, et al.
Published: (2024)

A Multi-Agent LLM Framework for Design Space Exploration in Autonomous Driving Systems
by: Shih, Po-An, et al.
Published: (2025)

Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving
by: Sani, Depanshu, et al.
Published: (2024)

DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking
by: Zheng, Weicheng, et al.
Published: (2025)

Miniature Testbed for Validating Multi-Agent Cooperative Autonomous Driving
by: Bae, Hyunchul, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
by: Zhang, Ruiqi, et al.
Published: (2024)

Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems
by: Tian, Haoxiang, et al.
Published: (2025)

GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
by: Liu, Shuai, et al.
Published: (2025)

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
by: Brunnbauer, Axel, et al.
Published: (2024)

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

Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
by: Weiwei, Liu, et al.
Published: (2024)

Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles
by: Kaufeld, Marc, et al.
Published: (2024)

STADA: Specification-based Testing for Autonomous Driving Agents
by: Saha, Joy, et al.
Published: (2026)

CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving
by: Wang, Jingyi, et al.
Published: (2025)

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model
by: Yao, Ruoyu, et al.
Published: (2024)

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)

LLM-Driven Scenario-Aware Planning for Autonomous Driving
by: Li, He, et al.
Published: (2026)

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

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

Online Temporal Fusion for Vectorized Map Construction in Mapless Autonomous Driving
by: Chen, Jiagang, et al.
Published: (2024)

Equivariant Map and Agent Geometry for Autonomous Driving Motion Prediction
by: Wang, Yuping, et al.
Published: (2023)

Energy-Efficient Path Planning with Multi-Location Object Pickup for Mobile Robots on Uneven Terrain
by: Babakano, Faiza, et al.
Published: (2025)

Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
by: Yu, Taoyuan, et al.
Published: (2025)

LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model
by: Li, Xiangyu, et al.
Published: (2026)

Advancing Autonomous Driving Perception: Analysis of Sensor Fusion and Computer Vision Techniques
by: Bharti, Urvishkumar, et al.
Published: (2024)

TSC: Topology-Conditioned Stackelberg Coordination for Multi-Agent Reinforcement Learning in Interactive Driving
by: Zhang, Xiaotong, et al.
Published: (2026)

Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving
by: Yan, Shengchao, et al.
Published: (2024)

D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation
by: Ke, Zehong, et al.
Published: (2024)

FlowDrive: Energy Flow Field for End-to-End Autonomous Driving
by: Jiang, Hao, et al.
Published: (2025)

Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding
by: Samiuddin, Jilan, et al.
Published: (2024)

RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
by: Bosio, Carlo, et al.
Published: (2025)

Multi-Object Tracking with Camera-LiDAR Fusion for Autonomous Driving
by: Pieroni, Riccardo, 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)

Driving Style Alignment for LLM-powered Driver Agent
by: Yang, Ruoxuan, et al.
Published: (2024)

Correcting Autonomous Driving Object Detection Misclassifications with Automated Commonsense Reasoning
by: Kimbrell, Keegan, et al.
Published: (2026)

LLM-FK: Multi-Agent LLM Reasoning for Foreign Key Detection in Large-Scale Complex Databases
by: Tang, Zijian, et al.
Published: (2026)

Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL
by: Abouelazm, Ahmed, et al.
Published: (2025)