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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
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing DataCode0
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration—0
A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition—0
Integration of 5G and Motion Sensors for Vehicular Positioning: A Loosely-Coupled Approach—0
Safe Road-Crossing by Autonomous Wheelchairs: a Novel Dataset and its Experimental Evaluation—0
OccFusion: Depth Estimation Free Multi-sensor Fusion for 3D Occupancy Prediction—0
Evacuation Management Framework towards Smart City-wide Intelligent Emergency Interactive Response System—0
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks—0
RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving—0
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