Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Mingyi, Wang, Jingke, Ye, Tengju, Chen, Junbo, Yu, Kaicheng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
LADY: Linear Attention for Autonomous Driving Efficiency without Transformers
por: Huang, Jihao, et al.
Publicado: (2025)
por: Huang, Jihao, et al.
Publicado: (2025)
DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving
por: Xu, Yinda, et al.
Publicado: (2023)
por: Xu, Yinda, et al.
Publicado: (2023)
Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving
por: Lian, Weitong, et al.
Publicado: (2026)
por: Lian, Weitong, et al.
Publicado: (2026)
Drive-P2D: A Progressive Perception-to-Decision Benchmark for VLMs in Autonomous Driving
por: Tang, Zecong, et al.
Publicado: (2026)
por: Tang, Zecong, et al.
Publicado: (2026)
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting
por: Liao, Haicheng, et al.
Publicado: (2025)
por: Liao, Haicheng, et al.
Publicado: (2025)
Generative AI for Testing of Autonomous Driving Systems: A Survey
por: Song, Qunying, et al.
Publicado: (2025)
por: Song, Qunying, et al.
Publicado: (2025)
CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving
por: Wang, Jingyi, et al.
Publicado: (2025)
por: Wang, Jingyi, et al.
Publicado: (2025)
SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation
por: Ye, Hao, et al.
Publicado: (2025)
por: Ye, Hao, et al.
Publicado: (2025)
Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving
por: Yunhao, Liu, et al.
Publicado: (2024)
por: Yunhao, Liu, et al.
Publicado: (2024)
Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
por: Anvar, Timur, et al.
Publicado: (2025)
por: Anvar, Timur, et al.
Publicado: (2025)
On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software
por: Nouri, Ali, et al.
Publicado: (2025)
por: Nouri, Ali, et al.
Publicado: (2025)
ScenePilot: Controllable Boundary-Driven Critical Scenario Generation for Autonomous Driving
por: Ruan, Qiyu, et al.
Publicado: (2026)
por: Ruan, Qiyu, et al.
Publicado: (2026)
Generative AI for Autonomous Driving: Frontiers and Opportunities
por: Wang, Yuping, et al.
Publicado: (2025)
por: Wang, Yuping, et al.
Publicado: (2025)
AnchorDrive: LLM Scenario Rollout with Anchor-Guided Diffusion Regeneration for Safety-Critical Scenario Generation
por: Jiang, Zhulin, et al.
Publicado: (2026)
por: Jiang, Zhulin, et al.
Publicado: (2026)
AgentDrive: An Open Benchmark Dataset for Agentic AI Reasoning with LLM-Generated Scenarios in Autonomous Systems
por: Ferrag, Mohamed Amine, et al.
Publicado: (2026)
por: Ferrag, Mohamed Amine, et al.
Publicado: (2026)
FocalAD: Local Motion Planning for End-to-End Autonomous Driving
por: Sun, Bin, et al.
Publicado: (2025)
por: Sun, Bin, et al.
Publicado: (2025)
Getting SMARTER for Motion Planning in Autonomous Driving Systems
por: Alban, Montgomery, et al.
Publicado: (2025)
por: Alban, Montgomery, et al.
Publicado: (2025)
Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models
por: Chen, Jiao, et al.
Publicado: (2024)
por: Chen, Jiao, et al.
Publicado: (2024)
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
por: Yang, Zhenjie, et al.
Publicado: (2023)
por: Yang, Zhenjie, et al.
Publicado: (2023)
ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems
por: Zeng, Fanzhi, et al.
Publicado: (2025)
por: Zeng, Fanzhi, et al.
Publicado: (2025)
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
por: Gao, Yuan, et al.
Publicado: (2025)
por: Gao, Yuan, et al.
Publicado: (2025)
Attack End-to-End Autonomous Driving through Module-Wise Noise
por: Wang, Lu, et al.
Publicado: (2024)
por: Wang, Lu, et al.
Publicado: (2024)
Executing as You Generate: Hiding Execution Latency in LLM Code Generation
por: Sun, Zhensu, et al.
Publicado: (2026)
por: Sun, Zhensu, et al.
Publicado: (2026)
DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
por: Zhou, Yang, et al.
Publicado: (2026)
por: Zhou, Yang, et al.
Publicado: (2026)
Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios
por: Wang, Jiawen, et al.
Publicado: (2025)
por: Wang, Jiawen, et al.
Publicado: (2025)
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
por: Zhang, Tianyuan, et al.
Publicado: (2024)
por: Zhang, Tianyuan, et al.
Publicado: (2024)
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
por: Mei, Yuewen, et al.
Publicado: (2025)
por: Mei, Yuewen, et al.
Publicado: (2025)
Generative AI for Autonomous Driving: A Review
por: Winter, Katharina, et al.
Publicado: (2025)
por: Winter, Katharina, et al.
Publicado: (2025)
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving
por: Yang, Xuemeng, et al.
Publicado: (2024)
por: Yang, Xuemeng, et al.
Publicado: (2024)
FlowDrive: Energy Flow Field for End-to-End Autonomous Driving
por: Jiang, Hao, et al.
Publicado: (2025)
por: Jiang, Hao, et al.
Publicado: (2025)
MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous Verification
por: Li, Yin, et al.
Publicado: (2024)
por: Li, Yin, et al.
Publicado: (2024)
KLDrive: Fine-Grained 3D Scene Reasoning for Autonomous Driving based on Knowledge Graph
por: Tian, Ye, et al.
Publicado: (2026)
por: Tian, Ye, et al.
Publicado: (2026)
Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads using Deep Convolutional Network
por: Li, Lei, et al.
Publicado: (2024)
por: Li, Lei, et al.
Publicado: (2024)
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
por: Xu, Chengkai, et al.
Publicado: (2025)
por: Xu, Chengkai, et al.
Publicado: (2025)
OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving
por: Wang, Lening, et al.
Publicado: (2024)
por: Wang, Lening, et al.
Publicado: (2024)
Motion Forecasting for Autonomous Vehicles: A Survey
por: Shi, Jianxin, et al.
Publicado: (2025)
por: Shi, Jianxin, et al.
Publicado: (2025)
Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
por: Li, Jingzheng, et al.
Publicado: (2025)
por: Li, Jingzheng, et al.
Publicado: (2025)
Impart: An Imperceptible and Effective Label-Specific Backdoor Attack
por: Zhao, Jingke, et al.
Publicado: (2024)
por: Zhao, Jingke, et al.
Publicado: (2024)
A Language Agent for Autonomous Driving
por: Mao, Jiageng, et al.
Publicado: (2023)
por: Mao, Jiageng, et al.
Publicado: (2023)
Temporally Decoupled Diffusion Planning for Autonomous Driving
por: Li, Xiang, et al.
Publicado: (2026)
por: Li, Xiang, et al.
Publicado: (2026)
Ejemplares similares
-
LADY: Linear Attention for Autonomous Driving Efficiency without Transformers
por: Huang, Jihao, et al.
Publicado: (2025) -
DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving
por: Xu, Yinda, et al.
Publicado: (2023) -
Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving
por: Lian, Weitong, et al.
Publicado: (2026) -
Drive-P2D: A Progressive Perception-to-Decision Benchmark for VLMs in Autonomous Driving
por: Tang, Zecong, et al.
Publicado: (2026) -
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting
por: Liao, Haicheng, et al.
Publicado: (2025)