A Multi-Agent LLM Framework for Design Space Exploration in Autonomous Driving Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Shih, Po-An, Wang, Shao-Hua, Li, Yung-Che, Tu, Chia-Heng, Chang, Chih-Han |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation
by: Shen, Mu-Yi, et al.
Published: (2024)
by: Shen, Mu-Yi, et al.
Published: (2024)
An LLM-enabled Multi-Agent Autonomous Mechatronics Design Framework
by: Wang, Zeyu, et al.
Published: (2025)
by: Wang, Zeyu, et al.
Published: (2025)
DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving
by: Hou, Xinmeng, et al.
Published: (2025)
by: Hou, Xinmeng, et al.
Published: (2025)
CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems
by: Krupp, Lukas, et al.
Published: (2025)
by: Krupp, Lukas, et al.
Published: (2025)
Miniature Testbed for Validating Multi-Agent Cooperative Autonomous Driving
by: Bae, Hyunchul, et al.
Published: (2025)
by: Bae, Hyunchul, et al.
Published: (2025)
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
by: Liu, Haochen, et al.
Published: (2024)
by: Liu, Haochen, et al.
Published: (2024)
Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration
by: Concha, David Molina, et al.
Published: (2024)
by: Concha, David Molina, et al.
Published: (2024)
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles
by: Kaufeld, Marc, et al.
Published: (2024)
by: Kaufeld, Marc, et al.
Published: (2024)
Flight Testing of Latch Valve with Lightweight LV-Servo Direct Drive Mechanism
by: Huang, Hao-Che, et al.
Published: (2024)
by: Huang, Hao-Che, et al.
Published: (2024)
An Enhanced Hierarchical Planning Framework for Multi-Robot Autonomous Exploration
by: Cai, Gengyuan, et al.
Published: (2024)
by: Cai, Gengyuan, et al.
Published: (2024)
LLM-Driven Scenario-Aware Planning for Autonomous Driving
by: Li, He, et al.
Published: (2026)
by: Li, He, et al.
Published: (2026)
Design and Characterization of a Micro-Vibration Adhesion System
by: Li, Siqian, et al.
Published: (2025)
by: Li, Siqian, et al.
Published: (2025)
GUIDE: A Diffusion-Based Autonomous Robot Exploration Framework Using Global Graph Inference
by: Che, Zijun, et al.
Published: (2025)
by: Che, Zijun, et al.
Published: (2025)
Beyond ADE and FDE: A Comprehensive Evaluation Framework for Safety-Critical Prediction in Multi-Agent Autonomous Driving Scenarios
by: Liu, Feifei, et al.
Published: (2025)
by: Liu, Feifei, et al.
Published: (2025)
Modular Fault Diagnosis Framework for Complex Autonomous Driving Systems
by: Orf, Stefan, et al.
Published: (2024)
by: Orf, Stefan, et al.
Published: (2024)
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
by: Zhou, Zikang, et al.
Published: (2024)
by: Zhou, Zikang, et al.
Published: (2024)
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
by: Chen, Zhiwen, et al.
Published: (2025)
by: Chen, Zhiwen, et al.
Published: (2025)
Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks
by: Orf, Stefan, et al.
Published: (2025)
by: Orf, Stefan, et al.
Published: (2025)
Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
by: Yu, Taoyuan, et al.
Published: (2025)
by: Yu, Taoyuan, et al.
Published: (2025)
Modular Autonomy with Conversational Interaction: An LLM-driven Framework for Decision Making in Autonomous Driving
by: Seegert, Marvin, et al.
Published: (2026)
by: Seegert, Marvin, 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)
by: Abouelazm, Ahmed, et al.
Published: (2025)
Uncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison
by: Shao, Wenbo, et al.
Published: (2024)
by: Shao, Wenbo, et al.
Published: (2024)
MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)
by: Yasarla, Rajeev, et al.
Published: (2026)
Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems
by: Tian, Haoxiang, et al.
Published: (2025)
by: Tian, Haoxiang, et al.
Published: (2025)
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)
by: Zheng, Zhi, et al.
Published: (2024)
Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models
by: Jia, Xiaosong, et al.
Published: (2026)
by: Jia, Xiaosong, et al.
Published: (2026)
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving
by: Xing, Shuo, et al.
Published: (2024)
by: Xing, Shuo, et al.
Published: (2024)
A Modular Pneumatic Soft Gripper Design for Aerial Grasping and Landing
by: Cheung, Hiu Ching, et al.
Published: (2023)
by: Cheung, Hiu Ching, et al.
Published: (2023)
StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
by: Gao, Yuan, et al.
Published: (2026)
by: Gao, Yuan, et al.
Published: (2026)
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
by: Brunnbauer, Axel, et al.
Published: (2024)
by: Brunnbauer, Axel, et al.
Published: (2024)
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
by: Zhang, Ruiqi, et al.
Published: (2024)
by: Zhang, Ruiqi, et al.
Published: (2024)
From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
by: Li, Yueyuan, et al.
Published: (2024)
by: Li, Yueyuan, et al.
Published: (2024)
OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework
by: Li, Jiaxi, et al.
Published: (2024)
by: Li, Jiaxi, et al.
Published: (2024)
LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model
by: Li, Xiangyu, et al.
Published: (2026)
by: Li, Xiangyu, et al.
Published: (2026)
Equivariant Map and Agent Geometry for Autonomous Driving Motion Prediction
by: Wang, Yuping, et al.
Published: (2023)
by: Wang, Yuping, et al.
Published: (2023)
Attention and Risk-Aware Decision Framework for Safe Autonomous Driving
by: Tian, Zhen, et al.
Published: (2025)
by: Tian, Zhen, et al.
Published: (2025)
Multi-agent Path Finding for Cooperative Autonomous Driving
by: Yan, Zhongxia, et al.
Published: (2024)
by: Yan, Zhongxia, et al.
Published: (2024)
A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems
by: Xiong, Zikang, et al.
Published: (2025)
by: Xiong, Zikang, et al.
Published: (2025)
MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation
by: Lai, Shih-Yu
Published: (2026)
by: Lai, Shih-Yu
Published: (2026)
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving
by: Wang, Yuping, et al.
Published: (2023)
by: Wang, Yuping, et al.
Published: (2023)
Similar Items
-
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation
by: Shen, Mu-Yi, et al.
Published: (2024) -
An LLM-enabled Multi-Agent Autonomous Mechatronics Design Framework
by: Wang, Zeyu, et al.
Published: (2025) -
DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving
by: Hou, Xinmeng, et al.
Published: (2025) -
CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems
by: Krupp, Lukas, et al.
Published: (2025) -
Miniature Testbed for Validating Multi-Agent Cooperative Autonomous Driving
by: Bae, Hyunchul, et al.
Published: (2025)