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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

Showing 1120 of 509 papers

TitleStatusHype
Adaptive Kalman-Informed TransformerCode2
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive ReviewCode2
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion TransformerCode2
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with TransformersCode2
FUTR3D: A Unified Sensor Fusion Framework for 3D DetectionCode2
R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping packageCode2
Multi-Modal Fusion Transformer for End-to-End Autonomous DrivingCode2
Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera SensorsCode1
Inertial-Based LQG Control: A New Look at Inverted Pendulum StabilizationCode1
CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR-Camera Calibration with Iterative and Attention-Driven Post-RefinementCode1
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