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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
Multi-Sensor Fusion of Active and Passive Measurements for Extended Object Tracking—0
Hierarchical and Multimodal Data for Daily Activity UnderstandingCode0
Distributed Optimization with Efficient Communication, Event-Triggered Solution Enhancement, and Operation Stopping—0
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor GraphsCode2
Systematic Literature Review on Vehicular Collaborative Perception -- A Computer Vision Perspective—0
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor FusionCode0
MultiTSF: Transformer-based Sensor Fusion for Human-Centric Multi-view and Multi-modal Action Recognition—0
MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor FusionCode0
Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera SensorsCode1
Design and Experimental Validation of an Autonomous USV for Sensor Fusion-Based Navigation in GNSS-Denied Environments—0
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