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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 151–175 of 509 papers

TitleStatusHype
Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning—0
Deep Learning for Inertial Positioning: A Survey—0
Deep learning empowered sensor fusion boosts infant movement classification—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
Deep Generative Models for learning Coherent Latent Representations from Multi-Modal Data—0
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry—0
Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds—0
Deep convolutional neural networks for cyclic sensor data—0
Deep Bayesian ICP Covariance Estimation—0
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing—0
A Mathematical Characterization of Minimally Sufficient Robot Brains—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes—0
Automated Physics-Derived Code Generation for Sensor Fusion and State Estimation—0
Data Sensor Fusion In Digital Twin Technology For Enhanced Capabilities In A Home Environment—0
Data-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation—0
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data—0
CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion—0
Cross-Domain Spatial Matching for Camera and Radar Sensor Data Fusion in Autonomous Vehicle Perception System—0
HARU: Haptic Augmented Reality-Assisted User-Centric Industrial Network Planning—0
All-day Depth Completion—0
A dataset for multi-sensor drone detection—0
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling—0
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