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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 476–500 of 509 papers

TitleStatusHype
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion—0
Multi-Sensor Conflict Measurement and Information Fusion—0
Closed-form solution to cooperative visual-inertial structure from motion—0
Statistical Sensor Fusion of a 9-DoF MEMS IMU for Indoor Navigation—0
Structured Deep Neural Network Pruning via Matrix Pivoting—0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes—0
PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design—0
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning—0
Distributed Deep Neural Networks over the Cloud, the Edge and End DevicesCode1
Hybrid PS-V Technique: A Novel Sensor Fusion Approach for Fast Mobile Eye-Tracking with Sensor-Shift Aware Correction—0
Zero-Shot Deep Domain Adaptation—0
Multi-View Task-Driven Recognition in Visual Sensor Networks—0
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation—0
Towards Visual Ego-motion Learning in Robots—0
Magnetic-Visual Sensor Fusion based Medical SLAM for Endoscopic Capsule Robot—0
Real-time 3D Human Tracking for Mobile Robots with Multisensors—0
Sensor Fusion for Robot Control through Deep Reinforcement Learning—0
Distributed Mapping with Privacy and Communication Constraints: Lightweight Algorithms and Object-based ModelsCode0
Probabilistic Sensor Fusion for Ambient Assisted Living—0
UAV Sensor Fusion With Latent-Dynamic Conditional Random Fields in Coronal Plane Estimation—0
Tracking Human-like Natural Motion Using Deep Recurrent Neural Networks—0
Kernel-based Sensor Fusion with Application to Audio-Visual Voice Activity Detection—0
Sequence Classification with Neural Conditional Random Fields—0
Sensor Fusion of Camera, GPS and IMU using Fuzzy Adaptive Multiple Motion Models—0
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