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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
Fault Signature Identification for BLDC motor Drive System -A Statistical Signal Fusion Approach—0
Federated Data-Driven Kalman Filtering for State Estimation—0
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects—0
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving—0
Fixed-point iterations for several dissimilarity measure barycenters in the Gaussian case—0
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model—0
From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibration—0
From SLAM to Situational Awareness: Challenges and Survey—0
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone—0
Exploiting Local and Cloud Sensor Fusion in Intermittently Connected Sensor Networks—0
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