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Sensor Fusion

Sensor fusion is the process of combining sensor data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. [Wikipedia]

Papers

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Showing 301–325 of 509 papers

TitleStatusHype
Comparative study of 3D object detection frameworks based on LiDAR data and sensor fusion techniques—0
Comparative survey: People detection, tracking and multi-sensor Fusion in a video sequence—0
Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network—0
ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions—0
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation—0
Cross-Domain Spatial Matching for Camera and Radar Sensor Data Fusion in Autonomous Vehicle Perception System—0
CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion—0
Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation—0
Data-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation—0
Data Sensor Fusion In Digital Twin Technology For Enhanced Capabilities In A Home Environment—0
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes—0
Structured Deep Neural Network Pruning via Matrix Pivoting—0
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges—0
Survey on LiDAR Perception in Adverse Weather Conditions—0
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving—0
Systematic Literature Review on Vehicular Collaborative Perception -- A Computer Vision Perspective—0
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems—0
Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data—0
The Classification Accuracy of Multiple-Metric Learning Algorithm on Multi-Sensor Fusion—0
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition—0
The Syncline Model -- Analyzing the Impact of Time Synchronization in Sensor Fusion—0
Towards a theory of granular sets—0
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal—0
Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model—0
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey—0
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