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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 181–190 of 509 papers

TitleStatusHype
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
LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor LocalizationCode1
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
Sensor Fusion by Spatial Encoding for Autonomous Driving—0
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