Buchumschlag

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Kou, Wei-Bin, Zhu, Guangxu, Ye, Rongguang, Lei, Jingreng, Wang, Shuai, Lin, Qingfeng, Tang, Ming, Wu, Yik-Chung
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Robotics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions
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)

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

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

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

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

FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving
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)

Mixture of Experts-augmented Deep Unfolding for Activity Detection in IRS-aided Systems
von: Ren, Zeyi, 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)

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

Deep Unfolding with Kernel-based Quantization in MIMO Detection
von: Ren, Zeyi, et al.
Veröffentlicht: (2025)

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

PraFFL: A Preference-Aware Scheme in Fair Federated Learning
von: Ye, Rongguang, et al.
Veröffentlicht: (2024)

Enhancing Autonomous Vehicle Perception in Adverse Weather through Image Augmentation during Semantic Segmentation Training
von: Kou, Ethan, et al.
Veröffentlicht: (2024)

Unveiling the Power of Complex-Valued Transformers in Wireless Communications
von: Leng, Yang, et al.
Veröffentlicht: (2025)

A Unified Distributed Algorithm for Hybrid Near-Far Field Activity Detection in Cell-Free Massive MIMO
von: Lei, Jingreng, et al.
Veröffentlicht: (2025)

Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications
von: Lei, Jingreng, et al.
Veröffentlicht: (2025)

Deep Unfolding Beamforming and Power Control Designs for Multi-Port Matching Networks
von: Xu, Bokai, et al.
Veröffentlicht: (2024)

One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models
von: Ye, Rongguang, et al.
Veröffentlicht: (2025)

Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning
von: Ye, Rongguang, 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)

CADENet: Condition-Adaptive Asynchronous Dual-Stream Enhancement Network for Adverse Weather Perception in Autonomous Driving
von: Khairy, Sherif, et al.
Veröffentlicht: (2026)

Learning to Jointly Optimize Antenna Positioning and Beamforming for Movable Antenna-Aided Systems
von: Wang, Yikun, et al.
Veröffentlicht: (2026)

AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditions
von: Qian, Chenghao, et al.
Veröffentlicht: (2024)

A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting
von: Assion, Felix, et al.
Veröffentlicht: (2024)

Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
von: Ye, Rongguang, et al.
Veröffentlicht: (2024)

Model Evolution Under Zeroth-Order Optimization: A Neural Tangent Kernel Perspective
von: Zhang, Chen, et al.
Veröffentlicht: (2026)

Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach
von: Zhang, Hao, et al.
Veröffentlicht: (2024)

To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion
von: Xu, Le, et al.
Veröffentlicht: (2023)

Handling Distance Constraint in Movable Antenna Aided Systems: A General Optimization Framework
von: Jin, Yichen, et al.
Veröffentlicht: (2024)

On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
von: Ye, Rongguang, et al.
Veröffentlicht: (2025)

LIORNet: Self-Supervised LiDAR Snow Removal Framework for Autonomous Driving under Adverse Weather Conditions
von: Park, Ji-il, et al.
Veröffentlicht: (2026)

Robustness of Object Detection of Autonomous Vehicles in Adverse Weather Conditions
von: Pettersen, Fox, et al.
Veröffentlicht: (2026)

Temporal Misalignment Attacks against Multimodal Perception in Autonomous Driving
von: Shahriar, Md Hasan, et al.
Veröffentlicht: (2025)

PADriver: Towards Personalized Autonomous Driving
von: Kou, Genghua, et al.
Veröffentlicht: (2025)

Stabilizing Information Flow Entropy: Regularization for Safe and Interpretable Autonomous Driving Perception
von: Yang, Haobo, et al.
Veröffentlicht: (2025)

AWM-Fuse: Multi-Modality Image Fusion for Adverse Weather via Global and Local Text Perception
von: Li, Xilai, et al.
Veröffentlicht: (2025)

YOLO-Vehicle-Pro: A Cloud-Edge Collaborative Framework for Object Detection in Autonomous Driving under Adverse Weather Conditions
von: Li, Xiguang, et al.
Veröffentlicht: (2024)

Balancing Latency and Model Accuracy for Fluid Antenna-Assisted LM-Embedded MIMO Network
von: Jin, Yichen, et al.
Veröffentlicht: (2025)