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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 281–290 of 509 papers

TitleStatusHype
Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving—0
Stress Detection using Context-Aware Sensor Fusion from Wearable Devices—0
A Modular Platform For Collaborative, Distributed Sensor FusionCode0
FusionLoc: Camera-2D LiDAR Fusion Using Multi-Head Self-Attention for End-to-End Serving Robot Relocalization—0
Deep Learning for Inertial Positioning: A Survey—0
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review—0
Combining Slow and Fast: Complementary Filtering for Dynamics Learning—0
Transformer-Based Sensor Fusion for Autonomous Driving: A SurveyCode0
Vision-RADAR fusion for Robotics BEV Detections: A SurveyCode0
InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition—0
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