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Special Issue "Communication, Positioning, and Sensing Solutions for Autonomous Vehicles"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 30 August 2020.

Special Issue Editors

Dr. Elena Simona Lohan
Website
Guest Editor
Electrical Engineering unit, Tampere University, Korkeakoulunkatu 1, 33720 Tampere, Finland
Interests: wireless positioning and navigation; 5G; wearable computing; statistical signal processing; IoT
Special Issues and Collections in MDPI journals
Prof. Dr. Mikko Valkama
Website
Guest Editor
Electrical Engineering unit, Tampere University, Korkeakoulunkatu 1, 33720 Tampere, Finland
Interests: Communications Signal Processing, I/Q Signal Processing, Dirty-RF Signal Processing and Radio Architectures, Signal Processing Algorithms for Software Defined Flexible Radios, 5G
Prof. Dr. Riku Jantti
Website
Guest Editor
Department of Communications and Networking, School of Electrical Engineering, Aalto University, Otakaari 1B, FI-00076 AALTO, Espoo, Finland
Interests: radio resource control and optimization for machine type communications, Cloud based Radio Access Networks, RF Inference, and quantum communications
Dr. Claudio Roncoli
Website
Guest Editor
Department of Built Environment, School of Engineering, Aalto University, Otakaari 1B, FI-00076 AALTO, Espoo, Finland
Interests: optimization and control of traffic systems, macroscopic and microscopic traffic flow modelling, real-time monitoring of large-scale transportation systems, intelligent transportation systems

Special Issue Information

Dear Colleagues,

The use of autonomous robots in various industries, such as the industrial internet, automated shipping, automated maritime vessels, or autonomous driving, is increasing steadily. The global autonomous driving market is expected to grow to more than EUR 150 billion by 2035 and the shared mobility services will form more than 65% of this market. The industrial internet market is expected to rely on more than 60 billion connected devices in the next five years, which will require accurate and highly available positioning and sensing mechanisms to ensure integrated indoor–outdoor deployments for moving connected robots in 3D spaces. To achieve ultra-reliable and low-latency wireless communications without a significant increase in complexity, these autonomous systems of tomorrow need enhanced low-cost and low-energy-consumption solutions for autonomous localization, location-aware communications, and sensing, for example by re-using already available communication signals.

This Special Issue encourages authors from academia and industry to submit new research results about technological innovations and novel applications for communication, sensing, and navigation solutions for autonomous machines, robots, and drones. The Special Issue topics include but are not limited to:

  • Wireless positioning, localization, and navigation for autonomous robots and devices
  • Wireless communication solutions for autonomous machines, robots, and/or drones
  • Novel algorithms for swarms of robots and/or drones
  • Interference localization, detection, and mitigation in wireless communications and wireless navigation of autonomous vehicles
  • Enhanced situational awareness and environmental mapping solutions with cellular/5G/beyond 5G and IoT solutions
  • 5G/B5G-based localization and sensing solutions
  • mmWave communications, localization, and sensing solutions
  • Testbeds/pilots measurement data analysis for autonomous everything
  • RF fingerprinting for transmitter and receiver identification/authentication in safe and reliable autonomous connectivity
Dr. Elena Simona Lohan
Prof. Dr. Mikko Valkama
Prof. Dr. Riku Jäntti
Dr. Claudio Roncoli
Guest Editors

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. Sensors is an international peer-reviewed open access semimonthly 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 2000 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.

Published Papers (1 paper)

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Research

Open AccessArticle
A Multi-Sensor Tight Fusion Method Designed for Vehicle Navigation
Sensors 2020, 20(9), 2551; https://doi.org/10.3390/s20092551 - 30 Apr 2020
Cited by 1
Abstract
Using the Global Navigation Satellite System (GNSS), it is difficult to provide continuous and reliable position service for vehicle navigation in complex urban environments, due to the natural vulnerability of the GNSS signal. With the rapid development of the sensor technology and the [...] Read more.
Using the Global Navigation Satellite System (GNSS), it is difficult to provide continuous and reliable position service for vehicle navigation in complex urban environments, due to the natural vulnerability of the GNSS signal. With the rapid development of the sensor technology and the reduction in their costs, the positioning performance of GNSS is expected to be significantly improved by fusing multi-sensors. In order to improve the continuity and reliability of the vehicle navigation system, we proposed a multi-sensor tight fusion (MTF) method by combining the inertial navigation system (INS), odometer, and barometric altimeter with the GNSS technique. Different fusion strategies were presented in the open-sky, insufficient satellite, and satellite outage environments to check the performance improvement of the proposed method. The simulation and real-device tests demonstrate that in the open-sky context, the error of sensors can be estimated correctly. This is useful for sensor noise compensation and position accuracy improvement, when GNSS is unavailable. In the insufficient satellite context (6 min), with the help of the barometric altimeter and a clock model, the accuracy of the method can be close to that in the open-sky context. In the satellite outage context, the error divergence of the MTF is obviously slower than the traditional GNSS/INS tightly coupled integration, as seen by odometer and barometric altimeter assisting. Full article
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