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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
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingCode3
DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and MappingCode3
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity RecogntionCode3
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion TransformerCode2
Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal PropertiesCode2
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive ReviewCode2
Segment Anything with Multiple ModalitiesCode2
Adaptive Kalman-Informed TransformerCode2
Driv3R: Learning Dense 4D Reconstruction for Autonomous DrivingCode2
OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy PredictionCode2
FUTR3D: A Unified Sensor Fusion Framework for 3D DetectionCode2
Multi-Modal Fusion Transformer for End-to-End Autonomous DrivingCode2
R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping packageCode2
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor GraphsCode2
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with TransformersCode2
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object DetectionCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
Distributed Deep Neural Networks over the Cloud, the Edge and End DevicesCode1
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance SystemsCode1
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor FusionCode1
Estimation of kinematics from inertial measurement units using a combined deep learning and optimization frameworkCode1
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing ApplicationsCode1
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