Special Issue "Next Generation MEMS-Based Navigation—Systems and Applications"
A special issue of Micromachines (ISSN 2072-666X).
Deadline for manuscript submissions: closed (31 May 2015)
Prof. Aboelmagd Noureldin
Department of Electrical and Computer Engineering, Royal Military College of Canada, Queen’s University, 19 General Crerar Crescent, S5214, Sawyer Building, Module 2, Kingston, ON K7K 7B4, Canada
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Interests: Wireless location and navigation; global navigation satellite systems (GNSS); inertial navigation systems (INS); multi-sensor fusion involving GNSS, INS, Radar, LiDAR, and vision systems for positioning and navigation; optimal estimation; artificial intelligence, positioning in challenging and denied GNSS environments including urban areas, indoors and under jamming conditions
The promise of Micro-Electro-Mechanical Systems (MEMS) technology to the navigation community has been germinating over the last decade, and current advances bring the field to the very cusp of fruition. In fact, MEMS inertial sensors and systems have become indispensable to the future of navigation. Also, navigation itself has become much broader than just providing a solution to the question “Where am I?” or “How to go there?” It has moved into new areas such as games, geolocation, mobile mapping, virtual reality, tracking health monitoring and context awareness; all of which have been enabled by MEMS technology. Their small size, low power and weight, and low cost have led to increased use, new applications, increased mobility, increased integration (hence better performance) and extended operation. When integrated with global navigation satellite systems (GNSS) and other sensors, the integrated system enhance the performance in denied GNSS environments where the satellite signal is either totally blocked or attenuated. The combination of the two systems exploits their complementary characteristics. These integrated navigation technologies and methods have become indispensable in many applications like car navigation, human motion modeling, first-responder personal navigation, UAV, and portable navigation.
This special issue targets original research that addresses the development of next-generation MEMS-based navigation technologies which integrate MEMS sensors and systems to increase the accuracy, reliability and availability of the navigation solution for current and future navigation applications. The special issue invites original research papers addressing, but not limited to:
- Advances in MEMS inertial sensors and systems;
- Applications and integration with other sensors (e.g. GNSS, WiFi, barometers, magnetometers, cameras, LiDAR, odometers, etc.);
- Advanced estimation algorithms for MEMS integrated navigation applications;
- Design, calibration, modeling, advanced processing techniques and performance characteristics of different technologies for MEMS Sensors;
- Navigation in indoor, urban or GNSS-degraded environments;
- Mapping and LBS applications with MEMS sensors.
Prof. Dr. Naser El-Sheimy
Prof. Dr. Aboelmagd Noureldin
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- integrated navigation systems
- INS, GNSS, LiDAR
- vision cameras
- radar systems
- data fusion
- Kalman Filtering
- artificial intelligence
- particle filtering
- smartphone sensors
- portable navigation
- car navigation
- UGV and UAV