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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 151–175 of 509 papers

TitleStatusHype
AI-Enabled sensor fusion of time of flight imaging and mmwave for concealed metal detection—0
Closed-form solution to cooperative visual-inertial structure from motion—0
Fisheye Camera and Ultrasonic Sensor Fusion For Near-Field Obstacle Perception in Bird's-Eye-View—0
A sensor fusion system with thermal infrared camera and LiDAR for autonomous vehicles and deep learning based object detection—0
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking—0
FASTER: Fusion AnalyticS for public Transport Event Response—0
TTCDist: Fast Distance Estimation From an Active Monocular Camera Using Time-to-Contact—0
A Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
3D Reconstruction in the Presence of Glasses by Acoustic and Stereo Fusion—0
3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks—0
Fault Signature Identification for BLDC motor Drive System -A Statistical Signal Fusion Approach—0
Federated Data-Driven Kalman Filtering for State Estimation—0
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving—0
F3S: Free Flow Fever Screening—0
Fixed-point iterations for several dissimilarity measure barycenters in the Gaussian case—0
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model—0
From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibration—0
From SLAM to Situational Awareness: Challenges and Survey—0
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone—0
FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation—0
Extraction and Assessment of Naturalistic Human Driving Trajectories from Infrastructure Camera and Radar Sensors—0
Fusing uncalibrated IMUs and handheld smartphone video to reconstruct knee kinematics—0
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects—0
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving—0
Exploiting Local and Cloud Sensor Fusion in Intermittently Connected Sensor Networks—0
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