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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 161–170 of 509 papers

TitleStatusHype
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
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