Application of Multi-Sensor Fusion Technology in Target Detection and Recognition
Title | Application of Multi-Sensor Fusion Technology in Target Detection and Recognition PDF eBook |
Author | Jukka Heikkonen |
Publisher | Mdpi AG |
Pages | 168 |
Release | 2022-03-04 |
Genre | Mathematics |
ISBN | 9783036513522 |
Application of multi-sensor fusion technology has drawn a lot of industrial and academic interest in recent years. The multi-sensor fusion methods are widely used in many applications, such as autonomous systems, remote sensing, video surveillance, and the military. These methods can obtain the complementary properties of targets by considering multiple sensors. On the other hand, they can achieve a detailed environment description and accurate detection of interest targets based on the information from different sensors. This book collects novel developments in the field of multi-sensor, multi-source, and multi-process information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Published papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems.
A New Multi-Sensor Fusion Target Recognition Method Based on Complementarity Analysis and Neutrosophic Set
Title | A New Multi-Sensor Fusion Target Recognition Method Based on Complementarity Analysis and Neutrosophic Set PDF eBook |
Author | Yuming Gong |
Publisher | Infinite Study |
Pages | 18 |
Release | |
Genre | Mathematics |
ISBN |
To improve the efficiency, accuracy, and intelligence of target detection and recognition, multi-sensor information fusion technology has broad application prospects in many aspects. Compared with single sensor, multi-sensor data contains more target information and effective fusion of multi-source information can improve the accuracy of target recognition. However, the recognition capabilities of different sensors are different during target recognition, and the complementarity between sensors needs to be analyzed during information fusion. This paper proposes a multi-sensor fusion recognition method based on complementarity analysis and neutrosophic set. The proposed method mainly has two parts: complementarity analysis and data fusion. Complementarity analysis applies the trained multi-sensor to extract the features of the verification set into the sensor, and obtain the recognition result of the verification set. Based on recognition result, the multi-sensor complementarity vector is obtained. Then the sensor output the recognition probability and the complementarity vector are used to generate multiple neutrosophic sets. Next, the generated neutrosophic sets are merged within the group through the simplified neutrosophic weighted average (SNWA) operator. Finally, the neutrosophic set is converted into crisp number, and the maximum value is the recognition result. The practicality and effectiveness of the proposed method in this paper are demonstrated through examples.
Multi-Sensor Information Fusion
Title | Multi-Sensor Information Fusion PDF eBook |
Author | Xue-Bo Jin |
Publisher | MDPI |
Pages | 602 |
Release | 2020-03-23 |
Genre | Technology & Engineering |
ISBN | 3039283022 |
This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.
Multi-sensor Multi-target Data Fusion, Tracking and Identification Techniques for Guidance and Control Applications
Title | Multi-sensor Multi-target Data Fusion, Tracking and Identification Techniques for Guidance and Control Applications PDF eBook |
Author | |
Publisher | |
Pages | 312 |
Release | 1996 |
Genre | Guided missiles |
ISBN |
Resumé på fransk.
Multi-sensor Fusion for Autonomous Driving
Title | Multi-sensor Fusion for Autonomous Driving PDF eBook |
Author | Xinyu Zhang |
Publisher | Springer Nature |
Pages | 237 |
Release | |
Genre | |
ISBN | 9819932807 |
Signal Processing, Sensor Fusion, and Target Recognition VI.
Title | Signal Processing, Sensor Fusion, and Target Recognition VI. PDF eBook |
Author | Ivan Kadar |
Publisher | |
Pages | 600 |
Release | 1997 |
Genre | Electronic books |
ISBN |
Multisensor Fusion
Title | Multisensor Fusion PDF eBook |
Author | Anthony K. Hyder |
Publisher | Springer Science & Business Media |
Pages | 929 |
Release | 2012-12-06 |
Genre | Computers |
ISBN | 9401005567 |
For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.