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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 241–250 of 509 papers

TitleStatusHype
From SLAM to Situational Awareness: Challenges and Survey—0
From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibration—0
Landmark Alternating Diffusion—0
Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment—0
Latent Variable Algorithms for Multimodal Learning and Sensor Fusion—0
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion—0
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation—0
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model—0
Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring—0
Fixed-point iterations for several dissimilarity measure barycenters in the Gaussian case—0
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