Cover Image

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Licheng, Fu, Daocheng, Li, Xin, Cai, Xinyu, Ma, Tao, Cai, Pinlong, Dou, Min, Shi, Botian, He, Liang, Qiao, Yu
Format:	Preprint
Published:	2023
Subjects:	Robotics Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving
by: Fu, Daocheng, et al.
Published: (2024)

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement
by: Fu, Daocheng, et al.
Published: (2025)

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
by: Mei, Jianbiao, et al.
Published: (2024)

TrafficMCTS: A Closed-Loop Traffic Flow Generation Framework with Group-Based Monte Carlo Tree Search
by: Fu, Ze, et al.
Published: (2023)

DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving
by: Yang, Xuemeng, et al.
Published: (2024)

SymDrive: Realistic and Controllable Driving Simulator via Symmetric Auto-regressive Online Restoration
by: Liu, Zhiyuan, et al.
Published: (2025)

KG-TRACES: Enhancing Large Language Models with Knowledge Graph-constrained Trajectory Reasoning and Attribution Supervision
by: Wu, Rong, et al.
Published: (2025)

KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models
by: Jiang, Kemou, et al.
Published: (2024)

From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving
by: Han, Xu, et al.
Published: (2024)

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving
by: Yan, Guohang, et al.
Published: (2024)

ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
by: Ma, Tao, et al.
Published: (2024)

Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
by: Yang, Cheng, et al.
Published: (2025)

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
by: Wu, Rong, et al.
Published: (2025)

RE-Searcher: Robust Agentic Search with Goal-oriented Planning and Self-reflection
by: Fu, Daocheng, et al.
Published: (2025)

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
by: Mei, Jianbiao, et al.
Published: (2025)

The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios
by: Fu, Daocheng, et al.
Published: (2026)

Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments
by: Luo, Licheng, et al.
Published: (2025)

Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models
by: Xu, Tianshuo, et al.
Published: (2025)

NL2SpaTiaL: Generating Geometric Spatio-Temporal Logic Specifications from Natural Language for Manipulation Tasks
by: Luo, Licheng, et al.
Published: (2025)

Differentiable SpaTiaL: Symbolic Learning and Reasoning with Geometric Temporal Logic for Manipulation Tasks
by: Luo, Licheng, et al.
Published: (2026)

LORD: Large Models based Opposite Reward Design for Autonomous Driving
by: Ye, Xin, et al.
Published: (2024)

Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments
by: Jin, Xuanjin, et al.
Published: (2024)

Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
by: Tang, Chen, et al.
Published: (2021)

Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles
by: Tang, Zuoyin, et al.
Published: (2024)

Autonomous Guidewire Navigation for Robot-assisted Endovascular Interventions: A Knowledge-Driven Visual Guidance Approach
by: Liu, Wentao, et al.
Published: (2024)

Priority-Driven Safe Model Predictive Control Approach to Autonomous Driving Applications
by: Prignoli, Francesco, et al.
Published: (2025)

A Vision-Language-Action Model with Visual Prompt for OFF-Road Autonomous Driving
by: Zhang, Liangdong, et al.
Published: (2026)

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

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
by: Zhou, Zhiyuan, et al.
Published: (2024)

UR-Bench: A Benchmark for Multi-Hop Reasoning over Ultra-High-Resolution Images
by: Li, Siqi, et al.
Published: (2025)

Time-aware Motion Planning in Dynamic Environments with Conformal Prediction
by: Liang, Kaier, et al.
Published: (2025)

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

A Knowledge-Driven Diffusion Policy for End-to-End Autonomous Driving Based on Expert Routing
by: Xu, Chengkai, et al.
Published: (2025)

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

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

COVLM-RL: Critical Object-Oriented Reasoning for Autonomous Driving Using VLM-Guided Reinforcement Learning
by: Li, Lin, et al.
Published: (2025)

Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving
by: Deng, Nanshan, et al.
Published: (2025)

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

Vec-QMDP: Vectorized POMDP Planning on CPUs for Real-Time Autonomous Driving
by: Jin, Xuanjin, et al.
Published: (2026)

ExpertAD: Enhancing Autonomous Driving Systems with Mixture of Experts
by: Jiang, Haowen, et al.
Published: (2025)