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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 26–50 of 509 papers

TitleStatusHype
Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation ControlCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
Hierarchical Multi-Process Fusion for Visual Place RecognitionCode1
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object DetectionCode1
LiDARTag: A Real-Time Fiducial Tag System for Point CloudsCode1
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World AttacksCode1
LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor LocalizationCode1
Incremental learning of LSTM framework for sensor fusion in attitude estimationCode1
Inertial-Based LQG Control: A New Look at Inverted Pendulum StabilizationCode1
L2V2T2Calib: Automatic and Unified Extrinsic Calibration Toolbox for Different 3D LiDAR, Visual Camera and Thermal CameraCode1
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving ScenesCode1
Estimation of kinematics from inertial measurement units using a combined deep learning and optimization frameworkCode1
DEFLOW: Self-supervised 3D Motion Estimation of Debris FlowCode1
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor FusionCode1
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance SystemsCode1
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing ApplicationsCode1
Distributed Deep Neural Networks over the Cloud, the Edge and End DevicesCode1
A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor FusionCode1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
Fusing Event-based and RGB camera for Robust Object Detection in Adverse ConditionsCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle PerceptionCode1
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