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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 301–325 of 509 papers

TitleStatusHype
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving—0
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
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
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
LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors—0
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