Results 81 to 90 of about 1,174,484 (222)
A new method to measure the divergence in evidential sensor data fusion
Int. J. Distributed Sens. Networks, 2019 Evidence theory is widely used in real applications such as target recognition because of its efficiency in evidential sensor data fusing. However, counter-intuitive results may be obtained in the situation when evidence highly conflicts with each other.
Yutong Song, Yong Deng
semanticscholar +1 more source
Hybrid Mode Sensor Fusion for Accurate Robot Positioning
SensorsRobotic systems are becoming increasingly crucial in applications requiring high precision. While a robot can operate using basic sensor feedback under controlled conditions, achieving micro-level accuracy requires more comprehensive data integration ...
Viktor Masalskyi +3 more
doaj +1 more source
Overlapping Coalition Formation for Efficient Data Fusion in Multi-Sensor Networks [PDF]
, 2006 This paper develops new algorithms for coalition formation within multi-sensor networks tasked with performing wide-area surveillance. Specifically, we cast this application as an instance of coalition formation, with overlapping coalitions. We show that
Dang, Viet Dung +3 more
core +1 more source
A New Approach to Linear/Nonlinear Distributed Fusion Estimation Problem
, 2018 Disturbance noises are always bounded in a practical system, while fusion estimation is to best utilize multiple sensor data containing noises for the purpose of estimating a quantity--a parameter or process.
Chen, Bo +3 more
core +1 more source
Sensor Data Fusion Framework for Improvement of Temperature Sensor Characteristics
Measurement + Control, 2016 This paper presents a multi-sensor data fusion model for measurement of temperature. The proposed paper puts forward an objective to develop a temperature measuring instrument (a) having improved performance characteristics like sensitivity and linearity
Santhosh KV, Karel De Smet
doaj +1 more source
A Systematic Review on Fusion Techniques and Approaches Used in Applications
IEEE Access, 2020 Fusion technologies have rapidly evolved. These technologies are normally customized according to the needs of domains. Despite a large number of publications on intelligence fusion applications for various domains, they are scattered.
Shaidah Jusoh, Sufyan Almajali
doaj +1 more source
Distributed Estimation of a Parametric Field Using Sparse Noisy Data
, 2012 The problem of distributed estimation of a parametric physical field is stated as a maximum likelihood estimation problem. Sensor observations are distorted by additive white Gaussian noise.
Alkhweldi, Marwan +2 more
core +1 more source
Data Fusion in Wireless Sensor Networks [PDF]
, 2020 <p>Ongoing research involves designing routing protocols that requires less energy during communication thereby extending the networks lifetime as well as reliable network for efficient communication. Our research has come up with DSDV (Destination Sequenced Distance Vector) routing protocols that can enhance network’s capabilities in different ...
Jinan Fiaidhi +2 more
openaire +1 more source
A Fault-Tolerant Multiple Sensor Fusion Approach Applied to UAV Attitude Estimation
International Journal of Aerospace Engineering, 2016 A novel sensor fusion design framework is presented with the objective of improving the overall multisensor measurement system performance and achieving graceful degradation following individual sensor failures.
Yu Gu +3 more
doaj +1 more source
IEEE Access, 2018 Deep learning has been widely used to fuse multi-sensor data for classification. However, current deep learning architecture for multi-sensor data fusion might not always perform better than single data source, especially for the fusion of hyperspectral ...
Wenzhi Liao +5 more
doaj +1 more source