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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 451–460 of 509 papers

TitleStatusHype
Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning—0
A General Optimization-based Framework for Global Pose Estimation with Multiple SensorsCode0
Multimodal Sensor Fusion In Single Thermal image Super-ResolutionCode0
Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks—0
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty—0
Joint Mapping and Calibration via Differentiable Sensor Fusion—0
Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport—0
Multi-Level Sensor Fusion with Deep Learning—0
PerceptionNet: A Deep Convolutional Neural Network for Late Sensor Fusion—0
Multi-scale Geometric Summaries for Similarity-based Sensor Fusion—0
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