Cover Image

Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pfeuffer, Andreas, Dietmayer, Klaus
Format:	Preprint
Published:	2018
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semantic Segmentation of Video Sequences with Convolutional LSTMs
by: Pfeuffer, Andreas, et al.
Published: (2019)

Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
by: Piroli, Aldi, et al.
Published: (2024)

The ADUULM-360 Dataset -- A Multi-Modal Dataset for Depth Estimation in Adverse Weather
by: Schön, Markus, et al.
Published: (2024)

SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather
by: Palladin, Edoardo, et al.
Published: (2025)

ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions
by: Sural, Shounak, et al.
Published: (2024)

WXSOD: A Benchmark for Robust Salient Object Detection in Adverse Weather Conditions
by: Chen, Quan, et al.
Published: (2025)

The Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar Data
by: Kraus, Florian, et al.
Published: (2024)

DA-RAW: Domain Adaptive Object Detection for Real-World Adverse Weather Conditions
by: Jeon, Minsik, et al.
Published: (2023)

Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions
by: Shinde, Ajinkya, et al.
Published: (2024)

ERUP-YOLO: Enhancing Object Detection Robustness for Adverse Weather Condition by Unified Image-Adaptive Processing
by: Ogino, Yuka, et al.
Published: (2024)

Multimodal Object Query Initialization for 3D Object Detection
by: van Geerenstein, Mathijs R., et al.
Published: (2023)

VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection
by: Taparia, Aditya, et al.
Published: (2025)

Enhancing Vehicle Detection under Adverse Weather Conditions with Contrastive Learning
by: Li, Boying, et al.
Published: (2025)

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
by: Kösel, Michael, et al.
Published: (2024)

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

Predicting the Influence of Adverse Weather on Pedestrian Detection with Automotive Radar and Lidar Sensors
by: Weihmayr, Daniel, et al.
Published: (2024)

Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions
by: Zhao, Xiantong, et al.
Published: (2025)

ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
by: Kösel, Michael, et al.
Published: (2026)

DinoRADE: Full Spectral Radar-Camera Fusion with Vision Foundation Model Features for Multi-class Object Detection in Adverse Weather
by: Leitgeb, Christof, et al.
Published: (2026)

RADE-Net: Robust Attention Network for Radar-Only Object Detection in Adverse Weather
by: Leitgeb, Christof, et al.
Published: (2026)

MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
by: Schön, Markus, et al.
Published: (2022)

MGNiceNet: Unified Monocular Geometric Scene Understanding
by: Schön, Markus, et al.
Published: (2024)

CFMW: Cross-modality Fusion Mamba for Robust Object Detection under Adverse Weather
by: Li, Haoyuan, et al.
Published: (2024)

Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions
by: Garg, Shivank, et al.
Published: (2024)

Restoring Images in Adverse Weather Conditions via Histogram Transformer
by: Sun, Shangquan, et al.
Published: (2024)

Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time
by: van Kempen, Raphael, et al.
Published: (2024)

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
by: Yang, Xin, et al.
Published: (2024)

SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface Conditions
by: Piroli, Aldi, et al.
Published: (2024)

Salient Object Detection in Complex Weather Conditions via Noise Indicators
by: Chen, Quan, et al.
Published: (2025)

Resilient Sensor Fusion under Adverse Sensor Failures via Multi-Modal Expert Fusion
by: Park, Konyul, et al.
Published: (2025)

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

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers
by: Zhang, Wei, et al.
Published: (2025)

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
by: Yao, Siyuan, et al.
Published: (2025)

Adverse Weather Conditions Augmentation of LiDAR Scenes with Latent Diffusion Models
by: Matteazzi, Andrea, et al.
Published: (2025)

VLM-Augmented Degradation Modeling for Image Restoration Under Adverse Weather Conditions
by: Shao, Qianyi, et al.
Published: (2025)

Fourier Domain Adaptation for Traffic Light Detection in Adverse Weather
by: Gakhar, Ishaan, et al.
Published: (2024)

Diffusion-Based Restoration for Multi-Modal 3D Object Detection in Adverse Weather
by: He, Zhijian, et al.
Published: (2025)

SDNIA-YOLO: A Robust Object Detection Model for Extreme Weather Conditions
by: Ding, Yuexiong, et al.
Published: (2024)

Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions
by: Zhang, Xingguang, et al.
Published: (2024)

CMAWRNet: Multiple Adverse Weather Removal via a Unified Quaternion Neural Architecture
by: Frants, Vladimir, et al.
Published: (2025)