Papers Sensor Fusion
“Sensor Fusion” 태그가 달린 논문 509편 · 필터 해제
Data-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation
Estimating a person's age from their gait has important applications in healthcare, security and human-computer interaction. In this work, we review fifty-nine studies involving over seventy-five thousand subjects record…
Age EstimationSensor FusionEvent-RGB Fusion for Spacecraft Pose Estimation Under Harsh Lighting
Spacecraft pose estimation is crucial for autonomous in-space operations, such as rendezvous, docking and on-orbit servicing. Vision-based pose estimation methods, which typically employ RGB imaging sensors, is a compell…
Pose EstimationSensor FusionSpacecraft Pose EstimationIntegrating Multi-Modal Sensors: A Review of Fusion Techniques for Intelligent Vehicles
Multi-sensor fusion plays a critical role in enhancing perception for autonomous driving, overcoming individual sensor limitations, and enabling comprehensive environmental understanding. This paper first formalizes mult…
Autonomous DrivingSensor FusionA Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects
Multi-sensor fusion perception (MSFP) is a key technology for embodied AI, which can serve a variety of downstream tasks (e.g., 3D object detection and semantic segmentation) and application scenarios (e.g., autonomous d…
3D Object DetectionAutonomous Drivingobject-detectionObject Detection+3Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal
Navigation is a very crucial aspect of autonomous vehicle ecosystem which heavily relies on collecting and processing large amounts of data in various states and taking a confident and safe decision to define the next ve…
Autonomous VehiclesSensor FusionA Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method
In the field of multi-sensor fusion for simultaneous localization and mapping (SLAM), monocular cameras and IMUs are widely used to build simple and effective visual-inertial systems. However, limited research has explor…
Deep Reinforcement LearningSensor FusionSimultaneous Localization and MappingState EstimationDeep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry
Accurate rotational odometry is crucial for autonomous robotic systems, particularly for small, power-constrained platforms such as drones and mobile robots. This study introduces thermal-gyro fusion, a novel sensor fusi…
Computational EfficiencySensor FusionRobust sensor fusion against on-vehicle sensor staleness
Sensor fusion is crucial for a performant and robust Perception system in autonomous vehicles, but sensor staleness, where data from different sensors arrives with varying delays, poses significant challenges. Temporal m…
Autonomous VehiclesData AugmentationSensor FusionSensor Fusion for Track Geometry Monitoring: Integrating On-Board Data and Degradation Models via Kalman Filtering
Track geometry monitoring is essential for maintaining the safety and efficiency of railway operations. While Track Recording Cars (TRCs) provide accurate measurements of track geometry indicators, their limited availabi…
Sensor FusionSensor Fusion Methods for Gaussian Mixture Models
Consensus is a popular technique for distributed state estimation. This formulation allows networks of connected agents or sensors to exchange information about the distribution of a set of targets with their immediate n…
Sensor FusionState EstimationGaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
Multi-sensor fusion is crucial for improving the performance and robustness of end-to-end autonomous driving systems. Existing methods predominantly adopt either attention-based flatten fusion or bird's eye view fusion t…
Autonomous DrivingBench2DriveNavSimSensor Fusion+1Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review
Rapid advancements in foundation models, including Large Language Models, Vision-Language Models, Multimodal Large Language Models, and Vision-Language-Action Models have opened new avenues for embodied AI in mobile serv…
Decision Making Under UncertaintySensor FusionVision-Language-ActionDistance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras
With the growing adoption of autonomous driving, the advancement of sensor technology is crucial for ensuring safety and reliable operation. Sensor fusion techniques that combine multiple sensors such as LiDAR, radar, an…
Autonomous DrivingPedestrian DetectionPositionSensor FusionMultispectral Detection Transformer with Infrared-Centric Sensor Fusion
Multispectral object detection aims to leverage complementary information from visible (RGB) and infrared (IR) modalities to enable robust performance under diverse environmental conditions. In this letter, we propose IC…
Multispectral Object DetectionObjectobject-detectionObject Detection+2RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar
Multi-sensor fusion has significant potential in perception tasks for both indoor and outdoor environments. Especially under challenging conditions such as adverse weather and low-light environments, the combined use of …
Autonomous DrivingDepth EstimationSensor FusionVLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection
Although fusing multiple sensor modalities can enhance object detection performance, existing fusion approaches often overlook subtle variations in environmental conditions and sensor inputs. As a result, they struggle t…
Autonomous DrivingLanguage ModelingLanguage Modellingobject-detection+3VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving
Perception is a core capability of automated vehicles and has been significantly advanced through modern sensor technologies and artificial intelligence. However, perception systems still face challenges in complex real-…
Motion Forecastingobject-detectionObject DetectionSensor FusionSafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment
In battlefield environments, adversaries frequently disrupt GPS signals, requiring alternative localization and navigation methods. Traditional vision-based approaches like Simultaneous Localization and Mapping (SLAM) an…
Sensor FusionSimultaneous Localization and MappingVisual LocalizationVisual OdometryPhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications
Robust navigation in diverse environments and domains requires both accurate state estimation and transparent decision making. We present PhysNav-DG, a novel framework that integrates classical sensor fusion with the sem…
Autonomous DrivingSensor FusionSocial NavigationState EstimationMultimodal and Multiview Deep Fusion for Autonomous Marine Navigation
We propose a cross attention transformer based method for multimodal sensor fusion to build a birds eye view of a vessels surroundings supporting safer autonomous marine navigation. The model deeply fuses multiview RGB a…
Sensor Fusion