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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 1–25 of 509 papers

TitleStatusHype
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View RepresentationCode4
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity RecogntionCode3
DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and MappingCode3
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingCode3
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor GraphsCode2
Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal PropertiesCode2
Driv3R: Learning Dense 4D Reconstruction for Autonomous DrivingCode2
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
Segment Anything with Multiple ModalitiesCode2
OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy PredictionCode2
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
SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and DatasetCode1
A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor FusionCode1
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving ScenesCode1
Practical Implementation of KalmanNet for Accurate Data Fusion in Integrated NavigationCode1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
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