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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 411–420 of 509 papers

TitleStatusHype
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion—0
Automated Physics-Derived Code Generation for Sensor Fusion and State Estimation—0
BiFNet: Bidirectional Fusion Network for Road Segmentation—0
Extraction and Assessment of Naturalistic Human Driving Trajectories from Infrastructure Camera and Radar Sensors—0
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds—0
Semantic sensor fusion: from camera to sparse lidar information—0
iDCR: Improved Dempster Combination Rule for Multisensor Fault Diagnosis—0
Multi-Modality Cascaded Fusion Technology for Autonomous Driving—0
Indoor Layout Estimation by 2D LiDAR and Camera Fusion—0
Learning Selective Sensor Fusion for States Estimation—0
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