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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 281–290 of 509 papers

TitleStatusHype
BiFNet: Bidirectional Fusion Network for Road Segmentation—0
Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration—0
Black-box Stealthy GPS Attacks on Unmanned Aerial Vehicles—0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving—0
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds—0
Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection—0
BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction—0
Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping—0
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps—0
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