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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
Improving Extrinsics between RADAR and LIDAR using Learning—0
A Fast and Robust Camera-IMU Online Calibration Method For Localization System—0
A Multi-modal Approach to Single-modal Visual Place Classification—0
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing—0
Group Equivariant BEV for 3D Object Detection—0
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving—0
A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian DetectionCode0
In-situ surface porosity prediction in DED (directed energy deposition) printed SS316L parts using multimodal sensor fusion—0
Survey on LiDAR Perception in Adverse Weather Conditions—0
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing—0
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