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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 21–30 of 509 papers

TitleStatusHype
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance SystemsCode1
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor FusionCode1
Estimation of kinematics from inertial measurement units using a combined deep learning and optimization frameworkCode1
Distributed Deep Neural Networks over the Cloud, the Edge and End DevicesCode1
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural NetworksCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object DetectionCode1
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing ApplicationsCode1
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