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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 151–200 of 509 papers

TitleStatusHype
Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning—0
Deep Learning for Inertial Positioning: A Survey—0
Deep learning empowered sensor fusion boosts infant movement classification—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
Deep Generative Models for learning Coherent Latent Representations from Multi-Modal Data—0
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry—0
Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds—0
Deep convolutional neural networks for cyclic sensor data—0
Deep Bayesian ICP Covariance Estimation—0
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing—0
A Mathematical Characterization of Minimally Sufficient Robot Brains—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes—0
Automated Physics-Derived Code Generation for Sensor Fusion and State Estimation—0
Data Sensor Fusion In Digital Twin Technology For Enhanced Capabilities In A Home Environment—0
HeRCULES: Heterogeneous Radar Dataset in Complex Urban Environment for Multi-session Radar SLAM—0
Data-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation—0
Harmonic Mean Density Fusion in Distributed Tracking: Performance and Comparison—0
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data—0
CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion—0
Cross-Domain Spatial Matching for Camera and Radar Sensor Data Fusion in Autonomous Vehicle Perception System—0
HARU: Haptic Augmented Reality-Assisted User-Centric Industrial Network Planning—0
All-day Depth Completion—0
A dataset for multi-sensor drone detection—0
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling—0
3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration—0
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation—0
ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions—0
Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals—0
Geometric Stochastic Filter with Guaranteed Performance for Autonomous Navigation based on IMU and Feature Sensor Fusion—0
Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion—0
Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network—0
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving—0
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion—0
Comparative survey: People detection, tracking and multi-sensor Fusion in a video sequence—0
Global Scale Self-Supervised Channel Charting with Sensor Fusion—0
GPS-IMU Sensor Fusion for Reliable Autonomous Vehicle Position Estimation—0
Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving—0
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review—0
Group Equivariant BEV for 3D Object Detection—0
GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping—0
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud—0
FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion—0
Fusion of Inverse Synthetic Aperture Radar and Camera Images for Automotive Target Tracking—0
Harnessing Multimodal Sensing for Multi-user Beamforming in mmWave Systems—0
HawkRover: An Autonomous mmWave Vehicular Communication Testbed with Multi-sensor Fusion and Deep Learning—0
Comparative study of 3D object detection frameworks based on LiDAR data and sensor fusion techniques—0
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects—0
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