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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
Data-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation—0
Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh LightingCode0
Integrating Multi-Modal Sensors: A Review of Fusion Techniques for Intelligent Vehicles—0
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects—0
Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal—0
A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method—0
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry—0
Robust sensor fusion against on-vehicle sensor staleness—0
Sensor Fusion for Track Geometry Monitoring: Integrating On-Board Data and Degradation Models via Kalman Filtering—0
Sensor Fusion Methods for Gaussian Mixture Models—0
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous DrivingCode0
Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review—0
Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras—0
RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave RadarCode0
Multispectral Detection Transformer with Infrared-Centric Sensor FusionCode0
VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection—0
VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving—0
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment—0
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications—0
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation—0
Multi-Sensor Fusion of Active and Passive Measurements for Extended Object Tracking—0
Hierarchical and Multimodal Data for Daily Activity UnderstandingCode0
Distributed Optimization with Efficient Communication, Event-Triggered Solution Enhancement, and Operation Stopping—0
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor GraphsCode2
Systematic Literature Review on Vehicular Collaborative Perception -- A Computer Vision Perspective—0
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