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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 226–250 of 509 papers

TitleStatusHype
Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition—0
On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data—0
Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving—0
mmFUSION: Multimodal Fusion for 3D Objects Detection—0
From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibration—0
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving—0
Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks—0
Precise Distributed Satellite Navigation: Differential GPS with Sensor-Coupling for Integer Ambiguity Resolution—0
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data—0
Multimodal Active Measurement for Human Mesh Recovery in Close ProximityCode0
ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking—0
Managing the Impact of Sensor's Thermal Noise in Machine Learning for Nuclear Applications—0
Perception for Humanoid Robots—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
Robust Sensor Fusion for Indoor Wireless Localization—0
BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction—0
PseudoCal: Towards Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration—0
Multi-camera Bird's Eye View Perception for Autonomous Driving—0
What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving—0
Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network—0
INF: Implicit Neural Fusion for LiDAR and Camera—0
UWB Ranging and IMU Data Fusion: Overview and Nonlinear Stochastic Filter for Inertial Navigation—0
A Mathematical Characterization of Minimally Sufficient Robot Brains—0
Sensor Fusion by Spatial Encoding for Autonomous Driving—0
Nonlinear Deterministic Observer for Inertial Navigation using Ultra-wideband and IMU Sensor Fusion—0
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