CFP: IEEE Sensors on “Advanced Sensors and Sensing Technologies for indoor positioning and navigation”

[Francesco Potortì]

Accepted papers are immediately published on IEEE Xplore for early access.

			       CALL FOR PAPERS

		    IEEE Sensors Journal Special Issue on

		  “Advanced Sensors and Sensing Technologies
		    for indoor positioning and navigation”

   https://ieee-sensors.org/sensors-journal/sensors-journal-special-issues/


Many services, such as personal navigation, search and rescue, robot and fleet
management, healthcare would greatly benefit from ubiquitous, accurate, robust
and seamless positioning  technologies. While mature GNSS  solutions exist for
outdoor spaces,  more than ten  years of  research and development  of sensing
technologies  have not  yet led  to a  widely available  offer of  generic and
affordable standard  solutions for indoors.  Nonetheless, year after  year the
insight that  researchers have  offered into  indoor localization  provides us
with more  methods and the array  of usable sensors widens  with technological
progress. Hybridization of sensors data,  smart capture of environmental data,
benchmarking of sensing  and positioning technologies are all at  the heart of
indoor positioning and indoor navigation innovations.

This Special Issue of the IEEE  Sensors Journal is devoted to the presentation
of innovations and  improvements in the field of advanced  sensors and sensing
technologies for  indoor positioning and navigation  including theory, design,
modelling,  configuration,  characterization,  sensor  data  processing,  data
analysis, and applications.

Original  research  contributions  and  review  papers  are  sought  in  areas
including:

• Sensors and sensing technologies for indoor navigation and tracking methods:
  AoA, TOF,  TDOA based localisation,  RSSI and magnetic  fingerprinting, PDR,
  IMU  and hybrid  systems,  UWB, ultrasound,  optical  systems, RFID,  radar,
  device-free systems, mapping, SLAM
• Sensing frameworks and fusion for hybrid positioning
• Cooperative sensing, machine learning systems
• Sensors for building indoor maps and 3D models
• Sensors for human motion monitoring and modelling
• Sensors for robotics and UAV positioning and navigation
• Sensors for  seamless systems: HS-GNSS,  indoor GNSS, pseudolites,  RTK GNSS
  with  handheld devices,  mitigating  GNSS error  when  switching to  indoor,
  industrial metrology & geodetic systems, iGPS
• Self-contained sensors for positioning and navigation
• Wearable and multi-sensor systems for indoor navigation and human motion
• Sensing for location-based services and applications
• Sensors benchmarking, assessment, evaluation, standards


Solicited and invited  papers shall undergo the standard  IEEE Sensors Journal
peer-review process. All  manuscripts must be submitted on-line,  via the IEEE
Manuscript   Central™,   see  http://mc.manuscriptcentral.com/sensors.    When
submitting,  please indicate  in the  “Manuscript Type”  dropdown menu  and by
e-mail to  Leigh Ann Testa, testa.l at ieee.org,  that the paper is  intended for
the  “Advanced Sensors  and Sensing  Technologies for  indoor positioning  and
navigation”  Special Issue.  Authors  are particularly  encouraged to  suggest
names of potential  reviewers for their manuscripts in the  space provided for
these recommendations  in Manuscript  Central. For manuscript  preparation and
submission, please follow the guidelines in the Information for Authors at the
IEEE Sensors Journal web page, http://www.ieee-sensors.org/journals


## Deadlines:

Manuscript Submission:				March 31, 2021
Notification of Acceptance:			 July 31, 2021
Final Manuscript published in IEEE Xplore:	  October 2021


## Guest Editors:

Dr Valérie Renaudin		University Gustave Eiffel, France
Francesco Potortì		ISTI - CNR, Italy
Prof. Chan Gook Park		Seoul National University, Korea
Prof. Jari Nurmi		Tampere University, Finland
Prof. Masanori			Sugimoto Hokkaido University, Japan
Joaquín Torres-Sospedra		University Jaume I, Spain
Dr Dongyan Wei			Chinese Academy of Sciences, China
Dr. Kyle O'Keefe		University of Calgary, Canada
Prof. Stefan Knauth		Hochschule für Technik Stuttgart, Germany

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