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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 61–70 of 509 papers

TitleStatusHype
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving ScenesCode1
Leveraging BEV Representation for 360-degree Visual Place RecognitionCode1
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera SensorsCode1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR-Camera Calibration with Iterative and Attention-Driven Post-RefinementCode1
A Comparative Assessment of Multi-view fusion learning for Crop ClassificationCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing ApplicationsCode1
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