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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 491–500 of 509 papers

TitleStatusHype
DIDLM: A SLAM Dataset for Difficult Scenarios Featuring Infrared, Depth Cameras, LIDAR, 4D Radar, and Others under Adverse Weather, Low Light Conditions, and Rough RoadsCode0
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic MapCode0
Dual Unscented Kalman Filter Architecture for Sensor Fusion in Water Networks Leak LocalizationCode0
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical ApplicationsCode0
Stein ICP for Uncertainty Estimation in Point Cloud MatchingCode0
MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor FusionCode0
Uncertainty Estimation in One-Stage Object DetectionCode0
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield PredictionCode0
Robust Heart Rate Detection via Multi-Site PhotoplethysmographyCode0
Tightly Coupled 3D Lidar Inertial Odometry and MappingCode0
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