Results 1 to 10 of about 7,061 (216)
Sensors and Sensor’s Fusion in Autonomous Vehicles [PDF]
Sensors, 2021 Autonomous vehicle navigation has been at the center of several major developments, both in civilian and defense applications [...]
Andrzej Stateczny +2 more
openaire +3 more sources
Optica Advanced Photonics Congress 2022, 2022 We present a ptychography method to fuse data from two image sensors capturing different parts of the diffraction patterns and thereby extending the numerical aperture.
Kira Maathuis +2 more
openaire +3 more sources
Atmosphere, 2023 In order to study the influence of typical coal-fired flue gas components on the supersaturation characteristics in a multisection growth tube, a two-dimensional heat and mass transfer model was used to predict the supersaturation profiles formed by the ...
Yan Yu +6 more
doaj +1 more source
A GRAPH BASED BUNDLE ADJUSTMENT FOR INS-CAMERA CALIBRATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 In this paper, we present a graph based approach for performing the system calibration of a sensor suite containing a fixed mounted camera and an inertial navigation system.
D. Bender +5 more
doaj +1 more source
Sensor Fusion for Taste Sensor and Odor Sensor [PDF]
Chemical Senses, 2005 Recent research on a taste sensor stimulated the development of several kinds of sensing systems that have the ability to discriminate various tastes of beverages or foods. Most of these sensors involve the concept of global sensing, i.e. non-specifically detected signals are analyzed to extract the inherent taste characteristics (Toko, 1996).
T, Katsube +3 more
openaire +2 more sources
Review of the Method for Distributed Multi-sensor Multi-target Tracking
Leida xuebao, 2023 Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It improves the accuracy and stability of target tracking by fusing multiple local sensor information.
Yajun ZENG +4 more
doaj +1 more source
A sensor data fusion algorithm based on suboptimal network powered deep learning
Alexandria Engineering Journal, 2022 To improve the performance of data fusion in wireless sensor networks, based on the suboptimal network powered deep learning model, a data fusion algorithm that combines a stacked autoencoder (SAE) and a clustering protocol is proposed.
Ning Pan
doaj +1 more source
EURASIP Journal on Advances in Signal Processing, 2021 Nowadays, the pace of society is accelerating, people’s living standard has been greatly improved compared with the past, and we pay more and more attention to the real-time, flexibility, and intelligence of medical services.
Di Zhang
doaj +1 more source
Sensor fusion with high‐order moments constraints using projection‐based neural network
IET Signal Processing, 2021 The existing sensor fusion methods mainly follow two approaches, including Gaussian and Non‐Gaussian‐based sensor fusion approaches. In the first approach, fusion weights are determined based on the second moment.
Yousef Alipouri +2 more
doaj +1 more source
An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation
Sensors, 2021 Indoor autonomous navigation refers to the perception and exploration abilities of mobile agents in unknown indoor environments with the help of various sensors. It is the basic and one of the most important functions of mobile agents.
Yuanhao Qu +5 more
doaj +1 more source