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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
PseudoCal: Towards Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration—0
Quadcopter Position Hold Function using Optical Flow in a Smartphone-based Flight Computer—0
Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal—0
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles—0
Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks—0
Real-time 3D Human Tracking for Mobile Robots with Multisensors—0
Reliable Heading Tracking for Pedestrian Road Crossing Prediction Using Commodity Devices—0
Resilient Sensor Fusion under Adverse Sensor Failures via Multi-Modal Expert Fusion—0
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion—0
Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks—0
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