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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 251–300 of 509 papers

TitleStatusHype
ViFi-Loc: Multi-modal Pedestrian Localization using GAN with Camera-Phone Correspondences—0
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images—0
"Seeing Sound": Audio Classification with the Wigner-Wille Distribution and Convolutional Neural Networks—0
PhysioGait: Context-Aware Physiological Context Modeling for Person Re-identification Attack on Wearable Sensing—0
MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving—0
Sensor interoperability and fusion in signature verification: A case study using tablet PC—0
A Multimodal Sensor Fusion Framework Robust to Missing Modalities for Person Recognition—0
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
On Uncertainty in Deep State Space Models for Model-Based Reinforcement LearningCode1
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving—0
Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation ControlCode1
Optimal Fault-Tolerant Data Fusion in Sensor Networks: Fundamental Limits and Efficient Algorithms—0
Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation—0
Fusion of Inverse Synthetic Aperture Radar and Camera Images for Automotive Target Tracking—0
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects—0
Decentralised possibilistic inference with applications to target tracking—0
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion—0
MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report—0
Multi-modal Streaming 3D Object Detection—0
Fault Signature Identification for BLDC motor Drive System -A Statistical Signal Fusion Approach—0
The Syncline Model -- Analyzing the Impact of Time Synchronization in Sensor Fusion—0
Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection—0
FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation—0
Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition—0
Multimodal sensor fusion in the latent representation space—0
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion TransformerCode2
Visible and Near Infrared Image Fusion Based on Texture Information—0
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling—0
NOCT: Nonlinear Observability with Constraints and Time Offset—0
Inertial Hallucinations -- When Wearable Inertial Devices Start Seeing Things—0
SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera—0
Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities—0
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object DetectionCode1
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
HARU: Haptic Augmented Reality-Assisted User-Centric Industrial Network Planning—0
Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning—0
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingCode3
LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors—0
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View RepresentationCode4
Robust Perception Architecture Design for Automotive Cyber-Physical Systems—0
Fixed-point iterations for several dissimilarity measure barycenters in the Gaussian case—0
Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression—0
SELF-CARE: Selective Fusion with Context-Aware Low-Power Edge Computing for Stress Detection—0
Multi-sensor Suboptimal Fusion Student's t Filter—0
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor FusionCode1
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded ScenesCode1
Fusing Event-based and RGB camera for Robust Object Detection in Adverse ConditionsCode1
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with TransformersCode2
FUTR3D: A Unified Sensor Fusion Framework for 3D DetectionCode2
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