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Sensor Fusion
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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]
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh Lighting
Integrating Multi-Modal Sensors: A Review of Fusion Techniques for Intelligent Vehicles
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects
Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal
A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry
Robust sensor fusion against on-vehicle sensor staleness
Sensor Fusion for Track Geometry Monitoring: Integrating On-Board Data and Degradation Models via Kalman Filtering
Sensor Fusion Methods for Gaussian Mixture Models
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review
Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras
Multispectral Detection Transformer with Infrared-Centric Sensor Fusion
RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar
VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection
VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation
Multi-Sensor Fusion of Active and Passive Measurements for Extended Object Tracking
Hierarchical and Multimodal Data for Daily Activity Understanding
Distributed Optimization with Efficient Communication, Event-Triggered Solution Enhancement, and Operation Stopping
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs
Systematic Literature Review on Vehicular Collaborative Perception -- A Computer Vision Perspective
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion
MultiTSF: Transformer-based Sensor Fusion for Human-Centric Multi-view and Multi-modal Action Recognition
MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion
Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera Sensors
VideoFusion: A Spatio-Temporal Collaborative Network for Mutli-modal Video Fusion and Restoration
Design and Experimental Validation of an Autonomous USV for Sensor Fusion-Based Navigation in GNSS-Denied Environments
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey
SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging Environments
Resilient Sensor Fusion under Adverse Sensor Failures via Multi-Modal Expert Fusion
Inertial-Based LQG Control: A New Look at Inverted Pendulum Stabilization
Indoor Fusion Positioning Based on "IMU-Ultrasonic-UWB" and Factor Graph Optimization Method
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