Journal of Sensors

Estimation, Location, Tracking and Control in Complex Multi-Sensor Systems


Publishing date
01 Mar 2022
Status
Closed
Submission deadline
29 Oct 2021

Lead Editor

1Beijing Technology and Business University, Beijing, China

2Xi'an Jiaotong University, Xi'an, China

3Kunming University of Science and Technology, Kunming, China

4University of the West of England, Bristol, UK

5University of New Hampshire, Durham, UK

This issue is now closed for submissions.
More articles will be published in the near future.

Estimation, Location, Tracking and Control in Complex Multi-Sensor Systems

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Multi-sensor fusion is the key technology in many modern applications, such as intelligent unmanned systems, Internet of Things (IoT), robots, intelligent transportation, and intelligent manufacturing, etc. These systems have a common feature: they have multiple sensors of the same or different types. The state estimation method is one of the basic methods in the multisensor state, which gives the true value of the measured variable based on the sensor measurement data. Various techniques based on estimation methods have a wide range of applications, such as detection, positioning and tracking techniques, nonlinear filtering, navigation, etc. These methods have always been the key technologies in multisensor information fusion.

Multi-sensor information fusion technology can effectively process a limited amount of sensor data and even obtain the best results in real-time. Due to the tremendous development of sensors and computer storage technology, more sensors have been used in existing systems in recent years. A large amount of measurement data has been recorded and restored. The development of sensor systems has brought many new challenges to multisensor information fusion theory and its applications. For example, in the unmanned vehicle system, the positioning and tracking technology can effectively improve the vehicle body's understanding of the position and improve the vehicle body's self-control decision-making, which is of great significance to the performance of the unmanned vehicle. We must consider how to process large amounts of sensor data in a real-time model and control multisensor systems based on large amounts of data. Therefore, it is still necessary to further research the possible innovations of information fusion.

The aim of this Special Issue is to report the innovative ideas and solutions of multisensor information fusion methods. We welcome submissions discussing tracking technologies based on state estimation theory. Moreover, submissions focusing on development, adoption, and application are also encouraged.

Potential topics include but are not limited to the following:

  • Estimation in complex multi-sensor systems
  • Location in complex multi-sensor systems
  • Tracking in complex multi-sensor systems
  • Control of multi-sensor systems
  • Modelling of big data from multi-sensor systems
  • Artificial intelligence technology for multi-sensor fusion
  • The structure and/or levels of multi-sensor systems
  • Application of multi-sensor systems (e.g., Internet of Things, robots, transportation systems, intelligent manufacturing, etc.)

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 4379317
  • - Research Article

SVM Classification Method of Waxy Corn Seeds with Different Vitality Levels Based on Hyperspectral Imaging

Jinghua Wang | Lei Yan | ... | Shanshan Qi
  • Special Issue
  • - Volume 2022
  • - Article ID 5028866
  • - Research Article

Improved TLBO for Fusion of Infrared and Visible Images

Jinghua Wang | Lei Yan | ... | Shulin Li
  • Special Issue
  • - Volume 2022
  • - Article ID 2870314
  • - Research Article

Intelligent Sensing and Computing in Wireless Sensor Networks for Multiple Target Tracking

Xinyu Zou | Linling Li | ... | Longyu Zhou
  • Special Issue
  • - Volume 2022
  • - Article ID 5330876
  • - Research Article

Adaptive Bright and Dark Channel Combined with Defogging Algorithm Based on Depth of Field

Shiqi Wang | Tingping Yang | ... | Di Fan
  • Special Issue
  • - Volume 2022
  • - Article ID 2660462
  • - Research Article

An Optimal Scheduling Method for Data Resources of Production Process Based on Multicommunity Collaborative Search Algorithm

Yanlei Yin | Lihua Wang | ... | Hongwei Niu
  • Special Issue
  • - Volume 2022
  • - Article ID 8111998
  • - Research Article

Simulation Analysis of Eddy Current Testing Parameters for Surface and Subsurface Defect Detection of Aviation Aluminum Alloy Plate

Weiquan Deng | Jun Bao | ... | Xin Xiong
  • Special Issue
  • - Volume 2022
  • - Article ID 7071466
  • - Research Article

Position Estimation and Error Correction of Mobile Robots Based on UWB and Multisensors

Jie Li | Jiameng Xue | ... | Xingsong Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 2815164
  • - Research Article

Calibration of Collaborative Robots Based on Position Information and Local Product of Exponentials

Guanbin Gao | Yangtao Gao | ... | Jing Na
  • Special Issue
  • - Volume 2022
  • - Article ID 1822670
  • - Research Article

A Novel Trajectory Tracking Control with Modified Supertwisting Sliding Mode for Human-Robot Cooperation Manipulator in Assembly Line

Xingyu Wang | Anna Wang | ... | Yufei Qi
  • Special Issue
  • - Volume 2022
  • - Article ID 2488907
  • - Research Article

Sensor Selection Scheme considering Uncertainty Disturbance

Shi Wentao | Chen Dong | ... | Jin Yong
Journal of Sensors
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Acceptance rate52%
Submission to final decision53 days
Acceptance to publication24 days
CiteScore3.200
Journal Citation Indicator0.500
Impact Factor2.336
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.