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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 351–360 of 509 papers

TitleStatusHype
Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation—0
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion—0
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving—0
What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving—0
YOCO: You Only Calibrate Once for Accurate Extrinsic Parameter in LiDAR-Camera Systems—0
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors—0
Zero-Shot Deep Domain Adaptation—0
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving—0
Ensemble Learning for Fusion of Multiview Vision with Occlusion and Missing Information: Framework and Evaluations with Real-World Data and Applications in Driver Hand Activity Recognition—0
Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization—0
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