Buchumschlag

FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Kou, Wei-Bin, Zhu, Guangxu, Cheng, Bingyang, Zhang, Chen, Wu, Yik-Chung, Wang, Jianping
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Robotics Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2025)

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2024)

iMacHSR: Intermediate Multi-Access Heterogeneous Supervision and Regularization Scheme Toward Architecture-Agnostic Training
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2025)

Statistic-Augmented, Decoupled MoE Routing and Aggregating in Autonomous Driving
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2025)

Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2023)

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2025)

FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2024)

Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2024)

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2025)

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2024)

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2025)

OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization
von: Kou, Wei-Bin, et al.
Veröffentlicht: (2026)

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving
von: Lu, Yuhang, et al.
Veröffentlicht: (2025)

Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
von: Demontis, Ambra, et al.
Veröffentlicht: (2022)

BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
von: Zhou, Zikang, et al.
Veröffentlicht: (2024)

NTK-Guided Implicit Neural Teaching
von: Zhang, Chen, et al.
Veröffentlicht: (2025)

EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving
von: Wang, Yuping, et al.
Veröffentlicht: (2023)

Act Better by Timing: A timing-Aware Reinforcement Learning for Autonomous Driving
von: Li, Guanzhou, et al.
Veröffentlicht: (2024)

HPTune: Hierarchical Proactive Tuning for Collision-Free Model Predictive Control
von: Zuo, Wei, et al.
Veröffentlicht: (2026)

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

Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
von: Tang, Zuojin, et al.
Veröffentlicht: (2024)

DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
von: Zhou, Weitao, et al.
Veröffentlicht: (2025)

Equivariant Map and Agent Geometry for Autonomous Driving Motion Prediction
von: Wang, Yuping, et al.
Veröffentlicht: (2023)

Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding
von: Samiuddin, Jilan, et al.
Veröffentlicht: (2024)

Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving
von: Xiong, Chen, et al.
Veröffentlicht: (2026)

Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous Driving
von: Zhu, Tianze, et al.
Veröffentlicht: (2026)

Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions
von: Wang, Jing, et al.
Veröffentlicht: (2025)

VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving
von: Hu, Haibo, et al.
Veröffentlicht: (2025)

A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
von: Li, Zhuoren, et al.
Veröffentlicht: (2025)

UniSTPA: A Safety Analysis Framework for End-to-End Autonomous Driving
von: Kou, Hongrui, et al.
Veröffentlicht: (2025)

Planning with Adaptive World Models for Autonomous Driving
von: Vasudevan, Arun Balajee, et al.
Veröffentlicht: (2024)

Predictive Planner for Autonomous Driving with Consistency Models
von: Li, Anjian, et al.
Veröffentlicht: (2025)

CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
von: Uppuluri, Bhargava, et al.
Veröffentlicht: (2025)

Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning
von: Kobayashi, Taisuke, et al.
Veröffentlicht: (2021)

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects
von: Cui, Yixin, et al.
Veröffentlicht: (2025)

Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios
von: Zhang, Feihong, et al.
Veröffentlicht: (2025)

V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models
von: You, Junwei, et al.
Veröffentlicht: (2024)

ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
von: Dong, Yinke, et al.
Veröffentlicht: (2024)

NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving
von: Tao, Ximeng, et al.
Veröffentlicht: (2026)

CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
von: Zhang, Junrui, et al.
Veröffentlicht: (2025)