Daily continuous glucose monitoring is very helpful in the control of glucose levels for people with diabetes and impaired glucose tolerance. In this study, a multisensor-based, noninvasive continuous glucometer
MULTI SENSOR BASED MOBILE ROBOT FOR EDUCATION FOR FACILITATING THE SEPARATION OF UP, DOWN MODULE EASILY BY COMBINING THE UP, DOWN MODULE WITH FITTING OF COMBINING MEMBERS OF THE COMBINING MEMBERPURPOSE: An educational mobile robot with multi-sensors is provided to easily grasp the property of each...
Nakamura, T., Terada, K., Shibata, A., Takeda, H. (1999). The RoboCup-NAIST: A Cheap Multisensor-Based Mobile Robot with Visual Learning Capability. In: Asada, M., Kitano, H. (eds) RoboCup-98: Robot Soccer World Cup II. RoboCup 1998. Lecture Notes in Computer Science(), vol 160...
VINS-Fusion is an optimization-based multi-sensor state estimator, which achieves accurate self-localization for autonomous applications (drones, cars, and AR/VR). VINS-Fusion is an extension ofVINS-Mono, which supports multiple visual-inertial sensor types (mono camera + IMU, stereo cameras + IM...
Aguilar, P.A.C.et al.(2011). Heterogeneous Multi-sensor Fusion Based on an Evidential Network for Fall Detection. In: Abdulrazak, B., Giroux, S., Bouchard, B., Pigot, H., Mokhtari, M. (eds) Toward Useful Services for Elderly and People with Disabilities. ICOST 2011. Lecture Notes ...
VINS-Fusion is an optimization-based multi-sensor state estimator, which achieves accurate self-localization for autonomous applications (drones, cars, and AR/VR). VINS-Fusion is an extension of VINS-Mono, which supports multiple visual-inertial sensor types (mono camera + IMU, stereo cameras + ...
基于CAD模型 的多传感器视觉系统 ( CADModelBased MultipleSensor VisionSystem ) CMMS是 面向装配机器人的视觉导引的视觉系统. 互联网 Multisensordata fusion is an effective measure to improve the robustness of monitoring systems. 多传感器数据融合是一种提高监测系统的鲁棒性的有效途径. ...
For learning-based fusion, several supervised, unsupervised, reinforcement learning, and deep learning techniques are illustrated in multi-sensor integrated positioning/navigation systems. Design consideration of these integrated systems is discussed in detail from several aspects and their application scenarios...
Based on this optimal fusion criterion, a general multi-sensor optimal information fusion decentralized Kalman filter with a two-layer fusion structure is given for discrete time linear stochastic control systems with multiple sensors and correlated noises. The first fusion layer has a netted parallel ...
In this work, a multi-resolution procedure based on a generalized Laplacian pyramid (GLP) with a rational scale factor is proposed to merge image data of any resolution and represent them at any scale. The GLP-based data fusion is shown to be superior to