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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 271–280 of 509 papers

TitleStatusHype
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing—0
Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing—0
Availability-aware Sensor Fusion via Unified Canonical Space for 4D Radar, LiDAR, and Camera—0
A Visual Cooperative Localization Method for Airborne Magnetic Surveying Based on a Manifold Sensor Fusion Algorithm Using Lie Groups—0
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning—0
BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China—0
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
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