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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 91–100 of 509 papers

TitleStatusHype
Availability-aware Sensor Fusion via Unified Canonical Space for 4D Radar, LiDAR, and Camera—0
AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing—0
A Multi-modal Approach to Single-modal Visual Place Classification—0
A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds—0
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing—0
A Mathematical Characterization of Minimally Sufficient Robot Brains—0
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling—0
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