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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 481–490 of 509 papers

TitleStatusHype
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation—0
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems—0
Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities—0
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception—0
EEPNet: Efficient Edge Pixel-based Matching Network for Cross-Modal Dynamic Registration between LiDAR and Camera—0
Efficient Fusion and Task Guided Embedding for End-to-end Autonomous Driving—0
Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data—0
Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion—0
Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review—0
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