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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 291–300 of 509 papers

TitleStatusHype
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment—0
Safe Road-Crossing by Autonomous Wheelchairs: a Novel Dataset and its Experimental Evaluation—0
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles—0
Secure Navigation using Landmark-based Localization in a GPS-denied Environment—0
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles—0
"Seeing Sound": Audio Classification with the Wigner-Wille Distribution and Convolutional Neural Networks—0
Segment-based fusion of multi-sensor multi-scale satellite soil moisture retrievals—0
Learning Selective Sensor Fusion for States Estimation—0
Selective Sensor Fusion for Neural Visual-Inertial Odometry—0
SELF-CARE: Selective Fusion with Context-Aware Low-Power Edge Computing for Stress Detection—0
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