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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 201–210 of 509 papers

TitleStatusHype
Comparative study of 3D object detection frameworks based on LiDAR data and sensor fusion techniques—0
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects—0
FusionLoc: Camera-2D LiDAR Fusion Using Multi-Head Self-Attention for End-to-End Serving Robot Relocalization—0
Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition—0
Robust Multi-Modal Sensor Fusion: An Adversarial Approach—0
How do kernel-based sensor fusion algorithms behave under high dimensional noise?—0
A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition—0
Hybrid PS-V Technique: A Novel Sensor Fusion Approach for Fast Mobile Eye-Tracking with Sensor-Shift Aware Correction—0
Adaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete Slabs—0
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures—0
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