Journal of Sensors

Multi-Sensor Integration Algorithms and Applications for Navigation


Publishing date
01 Jan 2022
Status
Closed
Submission deadline
10 Sep 2021

Lead Editor

1China University of Mining and Technology, Xuzhou, China

2Nanjing University of Aeronautics and Astronautics, Nanjing, China

3University of Nottingham, Nottingham, UK

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

Multi-Sensor Integration Algorithms and Applications for Navigation

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

Description

In the field of navigation and positioning, integrated systems with multiple sensors have been proposed and developed for many years and have become a vital research area in this field. With the rapid development of global navigation satellite systems (GNSS) and other navigation and positioning sensors, such as the inertial navigation system (INS), visual navigation sensors, laser sensors, ultra-wide band (UWB), and the Doppler velocity log (DVL), the performance of integrated navigation systems is constantly improving. Multi-sensor integration has also been applied in urban navigation, smart cities, and driverless vehicle navigation, among other fields.

The proper development of these applications is associated with the use of reliable data from multi-sensors, which requires the use of advanced signal processing techniques, sensor data fusion, and data processing (sometimes in real-time) in order to produce a reliable system and to avoid accidents or failures in the process. Therefore, the theory, methods, algorithms, and application of integrated sensors are crucial for precise and reliable navigation and positioning fields.

This Special Issue aims to highlight advances in the development, testing, and modeling of multi-sensor integration algorithms and applications for navigation and positioning. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Reviews of integrated navigation sensors
  • Multi-sensor integration algorithms
  • Quality control of integrated navigation systems
  • The integration of the BeiDou Navigation Satellite System (BDS) and other navigation systems
  • New filtering algorithms for integrated navigation systems
  • Precise positioning using integrated navigation sensors
  • New applications of integrated navigation systems
  • Signal processing of the integrated navigation sensors
  • Reliability analysis for the integrated navigation systems
  • Sensor system for the navigation and positioning fields
  • Indoor and outdoor navigation

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 4853419
  • - Research Article

Automatic Calibration Method for Airborne LiDAR Systems Based on Approximate Corresponding Points Model

Yu Tian | Yibo Zhao | ... | Vladimír Sedlák
  • Special Issue
  • - Volume 2022
  • - Article ID 1311221
  • - Research Article

A Robust Visual-Aided Inertial Navigation Algorithm for Pedestrians

Langping An | Xianfei Pan | ... | Mang Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 6527356
  • - Research Article

A New Triple Filtering Algorithm and Its Application for Aerial GNSS/INS-Integrated Direct Georeferencing System

Qusen Chen | Leilei Li | ... | Yu Wu
  • Special Issue
  • - Volume 2021
  • - Article ID 5273549
  • - Research Article

Orthorectification of WorldView-3 Satellite Image Using Airborne Laser Scanning Data

Biswajeet Pradhan | Ahmed A. Ahmed | ... | Chang-Wook Lee
  • Special Issue
  • - Volume 2021
  • - Article ID 1745383
  • - Research Article

A State-Domain Robust Chi-Square Test Method for GNSS/INS Integrated Navigation

Zhangjun Yu | Qiuzhao Zhang | ... | Nanshan Zheng
  • Special Issue
  • - Volume 2021
  • - Article ID 9947704
  • - Research Article

Improved Mitigation Method for the Multipath Delays of BDS-3 Code Observations with the Aid of a Sparse Modeling Algorithm

Chao Hu | Qianxin Wang | Alberto Hernandez Moraleda
  • Special Issue
  • - Volume 2021
  • - Article ID 9990831
  • - Research Article

A New GPT2w Model Improved by PSO-LSSVM for GNSS High-Precision Positioning

Xuanxuan Zhang | Yamin Dang | Changhui Xu
Journal of Sensors
 Journal metrics
Acceptance rate30%
Submission to final decision78 days
Acceptance to publication38 days
CiteScore4.100
Journal Citation Indicator0.450
Impact Factor2.137
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