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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 51–60 of 509 papers

TitleStatusHype
Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera SensorsCode1
CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR-Camera Calibration with Iterative and Attention-Driven Post-RefinementCode1
Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement LearningCode1
Multi-Modality Task Cascade for 3D Object DetectionCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object DetectionCode1
HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle PerceptionCode1
Improvements to Target-Based 3D LiDAR to Camera CalibrationCode1
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object DetectionCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
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