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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 31–40 of 509 papers

TitleStatusHype
OceanBench: The Sea Surface Height EditionCode1
LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor LocalizationCode1
A Comparative Assessment of Multi-view fusion learning for Crop ClassificationCode1
MaskedFusion360: Reconstruct LiDAR Data by Querying Camera FeaturesCode1
L2V2T2Calib: Automatic and Unified Extrinsic Calibration Toolbox for Different 3D LiDAR, Visual Camera and Thermal CameraCode1
Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar FusionCode1
Leveraging BEV Representation for 360-degree Visual Place RecognitionCode1
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous drivingCode1
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object DetectionCode1
TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry EstimationCode1
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