Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances
Paper
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2502.16804
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Published
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AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
Paper • 2503.07608 • Published • 23 -
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models
Paper • 2502.09980 • Published • 4 -
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving
Paper • 2503.05689 • Published • 3 -
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
Paper • 2501.04982 • Published -
ReSim: Reliable World Simulation for Autonomous Driving
Paper • 2506.09981 • Published -
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
Paper • 2501.04003 • Published • 28 -
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
Paper • 2505.16278 • Published • 5 -
Generalized Predictive Model for Autonomous Driving
Paper • 2403.09630 • Published • 3 -
Generative AI for Autonomous Driving: Frontiers and Opportunities
Paper • 2505.08854 • Published • 1 -
CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving
Paper • 2503.08683 • Published • 1 -
Combating Partial Perception Deficit in Autonomous Driving with Multimodal LLM Commonsense
Paper • 2503.07020 • Published -
Autonomous Driving with Spiking Neural Networks
Paper • 2405.19687 • Published • 1 -
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
Paper • 2503.09594 • Published • 1 -
Co-driver: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes
Paper • 2405.05885 • Published