Imagen de Portada

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Huang, Jihao, Xia, Xi, Li, Zhiyuan, Liu, Tianle, Wang, Jingke, Chen, Junbo, Ye, Tengju
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving
por: Wang, Mingyi, et al.
Publicado: (2025)

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)

M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving
por: Xu, Dongyang, et al.
Publicado: (2024)

EvoOpt-LLM: Evolving industrial optimization models with large language models
por: He, Yiliu, et al.
Publicado: (2026)

On the Robustness of Transformers against Context Hijacking for Linear Classification
por: Li, Tianle, et al.
Publicado: (2025)

Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving
por: Yunhao, Liu, et al.
Publicado: (2024)

Kinematics-Aware Latent World Models for Data-Efficient Autonomous Driving
por: Li, Jiazhuo, et al.
Publicado: (2026)

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
por: Li, Jingzheng, et al.
Publicado: (2025)

CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving
por: Guo, Yihong, et al.
Publicado: (2026)

SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation
por: Ye, Hao, et al.
Publicado: (2025)

Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention
por: Hu, Wenjie, et al.
Publicado: (2025)

An Evolutionary Game-Theoretic Merging Decision-Making Considering Social Acceptance for Autonomous Driving
por: Liu, Haolin, et al.
Publicado: (2025)

FlowDrive: Energy Flow Field for End-to-End Autonomous Driving
por: Jiang, Hao, et al.
Publicado: (2025)

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

Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving
por: Xiao, Lingyu, et al.
Publicado: (2024)

Transformer-Based Autonomous Driving Models and Deployment-Oriented Compression: A Survey
por: Zhong, Juan, et al.
Publicado: (2023)

Temporally Decoupled Diffusion Planning for Autonomous Driving
por: Li, Xiang, et al.
Publicado: (2026)

Towards Robust Unsupervised Attention Prediction in Autonomous Driving
por: Qi, Mengshi, et al.
Publicado: (2025)

A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model
por: Yang, Shuo, et al.
Publicado: (2024)

AdaWM: Adaptive World Model based Planning for Autonomous Driving
por: Wang, Hang, et al.
Publicado: (2025)

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

Navigating the Black Box: Leveraging LLMs for Effective Text-Level Graph Injection Attacks
por: Lyu, Yuefei, et al.
Publicado: (2025)

STT: Stateful Tracking with Transformers for Autonomous Driving
por: Jing, Longlong, et al.
Publicado: (2024)

Energy-Efficient Autonomous Driving with Adaptive Perception and Robust Decision
por: Xia, Yuyang, et al.
Publicado: (2025)

A New Segment Routing method with Swap Node Selection Strategy Based on Deep Reinforcement Learning for Software Defined Network
por: Ye, Miao, et al.
Publicado: (2025)

ROAR: Robust Accident Recognition and Anticipation for Autonomous Driving
por: Liu, Xingcheng, et al.
Publicado: (2025)

Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning
por: Cai, Tianhui, et al.
Publicado: (2024)

Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving
por: Zheng, Yinan, et al.
Publicado: (2026)

LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model
por: Li, Xiangyu, et al.
Publicado: (2026)

Vehicle Dynamics Embedded World Models for Autonomous Driving
por: Li, Huiqian, et al.
Publicado: (2025)

Debiasing LLMs by Masking Unfairness-Driving Attention Heads
por: Han, Tingxu, et al.
Publicado: (2025)

EvaDrive: Evolutionary Adversarial Policy Optimization for End-to-End Autonomous Driving
por: Jiao, Siwen, et al.
Publicado: (2025)

Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads using Deep Convolutional Network
por: Li, Lei, et al.
Publicado: (2024)

A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems
por: Yang, Shuo, et al.
Publicado: (2024)

Personalized Autonomous Driving with Large Language Models: Field Experiments
por: Cui, Can, et al.
Publicado: (2023)

BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
por: Liu, Shu, et al.
Publicado: (2025)

Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
por: Li, Jingzheng, et al.
Publicado: (2025)

S$^3$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving
por: Wu, Zhiyuan, et al.
Publicado: (2024)

TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover Data
por: Liu, Deqing, et al.
Publicado: (2025)