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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 281–290 of 509 papers

TitleStatusHype
SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera—0
Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities—0
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object DetectionCode1
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
HARU: Haptic Augmented Reality-Assisted User-Centric Industrial Network Planning—0
Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning—0
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingCode3
LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors—0
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View RepresentationCode4
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