Image de couverture de livre

LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Fu, Daocheng, Lei, Wenjie, Wen, Licheng, Cai, Pinlong, Mao, Song, Dou, Min, Shi, Botian, Qiao, Yu
Format:	Preprint
Publié:	2024
Sujets:	Robotics Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement
par: Fu, Daocheng, et autres
Publié: (2025)

TrafficMCTS: A Closed-Loop Traffic Flow Generation Framework with Group-Based Monte Carlo Tree Search
par: Fu, Ze, et autres
Publié: (2023)

DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving
par: Yang, Xuemeng, et autres
Publié: (2024)

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
par: Wen, Licheng, et autres
Publié: (2023)

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
par: Mei, Jianbiao, et autres
Publié: (2024)

KG-TRACES: Enhancing Large Language Models with Knowledge Graph-constrained Trajectory Reasoning and Attribution Supervision
par: Wu, Rong, et autres
Publié: (2025)

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving
par: Yan, Guohang, et autres
Publié: (2024)

SymDrive: Realistic and Controllable Driving Simulator via Symmetric Auto-regressive Online Restoration
par: Liu, Zhiyuan, et autres
Publié: (2025)

KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models
par: Jiang, Kemou, et autres
Publié: (2024)

The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios
par: Fu, Daocheng, et autres
Publié: (2026)

MemVerse: Multimodal Memory for Lifelong Learning Agents
par: Liu, Junming, et autres
Publié: (2025)

Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
par: Yang, Cheng, et autres
Publié: (2025)

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
par: Wu, Rong, et autres
Publié: (2025)

DeepWriter: A Fact-Grounded Multimodal Writing Assistant Based On Offline Knowledge Base
par: Mao, Song, et autres
Publié: (2025)

RE-Searcher: Robust Agentic Search with Goal-oriented Planning and Self-reflection
par: Fu, Daocheng, et autres
Publié: (2025)

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
par: Mei, Jianbiao, et autres
Publié: (2025)

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
par: Zhang, Bo, et autres
Publié: (2023)

Aligning Vision to Language: Annotation-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning
par: Liu, Junming, et autres
Publié: (2025)

Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations
par: Zhang, Zhiyuan, et autres
Publié: (2026)

SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
par: Renz, Katrin, et autres
Publié: (2025)

ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
par: Ma, Tao, et autres
Publié: (2024)

UR-Bench: A Benchmark for Multi-Hop Reasoning over Ultra-High-Resolution Images
par: Li, Siqi, et autres
Publié: (2025)

DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes
par: Mei, Jianbiao, et autres
Publié: (2024)

LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking
par: Ma, Yukai, et autres
Publié: (2025)

From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving
par: Han, Xu, et autres
Publié: (2024)

FAR-Drive: Frame-AutoRegressive Video Generation in Closed-Loop Autonomous Driving
par: Li, Yaoru, et autres
Publié: (2026)

Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test
par: Cai, Xuan, et autres
Publié: (2025)

Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving
par: Geng, Jiaheng, et autres
Publié: (2025)

GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling
par: Li, Siqi, et autres
Publié: (2025)

From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generation
par: Meng, Siyuan, et autres
Publié: (2025)

RAKG:Document-level Retrieval Augmented Knowledge Graph Construction
par: Zhang, Hairong, et autres
Publié: (2025)

LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval
par: Zhang, Yaoze, et autres
Publié: (2025)

Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders
par: Wang, Yizhou, et autres
Publié: (2025)

HiDrive: A Closed-Loop Benchmark for High-Level Autonomous Driving
par: Xia, Zhongyu, et autres
Publié: (2026)

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models
par: Xia, Renqiu, et autres
Publié: (2024)

BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
par: Liu, Shu, et autres
Publié: (2025)

Doe-1: Closed-Loop Autonomous Driving with Large World Model
par: Zheng, Wenzhao, et autres
Publié: (2024)

HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
par: Yan, Guohang, et autres
Publié: (2025)

Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies
par: Li, Lincan, et autres
Publié: (2024)

Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models
par: Jia, Xiaosong, et autres
Publié: (2026)