Sensor Fusion

insight - Sensor Fusion

Multimodal Sensor Fusion for Wearable Human Activity Recognition: Enabling Robust and Comprehensive Monitoring of Body Movements, Facial Expressions, and Gestures

Combining different sensing modalities and multiple sensor positions can form a unified perception and understanding of complex human behaviors, enabling robust and comprehensive activity recognition.

The LuViRA Dataset: A Synchronized Multisensor Dataset for Accurate Indoor Localization

The LuViRA dataset provides synchronized data from vision, 5G radio, and audio sensors captured in a controlled indoor environment, enabling research on sensor fusion for accurate localization.

High-Speed, Low-Bandwidth Imaging by Fusing Event Cameras and Single-Photon Avalanche Diode (SPAD) Sensors

Combining the complementary properties of event cameras and SPAD sensors can achieve high-speed, low-light, and low-bandwidth image reconstruction compared to conventional cameras.

HDA-LVIO: A High-Precision LiDAR-Visual-Inertial Odometry in Urban Environments with Hybrid Data Association

프로포즈된 HDA-LVIO 알고리즘은 도시 환경에서 고정밀한 Localization 정확도를 달성합니다.

GPS-VIO Fusion with Online Rotational Calibration: Improving Localization Accuracy

개발된 GPS-VIO 시스템은 회전 외부 매개변수의 온라인 보정을 통해 위치 정확도를 향상시킵니다.

HDA-LVIO: High-Precision LiDAR-Visual-Inertial Odometry in Urban Environments with Hybrid Data Association

The author proposes HDA-LVIO, a novel LiDAR-Visual-Inertial odometry system, to improve localization accuracy in urban environments through hybrid data association.

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