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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
L2V2T2Calib: Automatic and Unified Extrinsic Calibration Toolbox for Different 3D LiDAR, Visual Camera and Thermal CameraCode1
LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place RecognitionCode1
Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement LearningCode1
Leveraging BEV Representation for 360-degree Visual Place RecognitionCode1
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor FusionCode1
Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation ControlCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
Multi-Modality Task Cascade 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
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