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High Precision Positioning for Intelligent Transportation System

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 8207

Special Issue Editors

Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan
Interests: vehicular networks; sensor networks; positioning
Special Issues, Collections and Topics in MDPI journals
Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong
Interests: GNSS; navigation; autonomous systems; sensor fusion; multipath; NLOS
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Maritime Systems Engineering, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan
Interests: multipath mitigation; software GNSS receiver; RTK/PPP; PPP-RTK; GNSS applications (car, ship, pedestrian)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Intelligent transportation systems play an important role in the sustainable development of the world economy. In the era of autonomous driving, intelligent transportation systems will see disruptive transformation and enable smart mobility. However, their success heavily depends on the construction of dynamic maps, which further relies on precision positioning of both moving and static objects, on the road (2-D positioning) or in the sky (3-D positioning). GNSS is the primary signal source for localization. Ground signals such as radio (UWB, radar) and light (LiDAR, camera), provide alternative positioning means where GNSS alone is not sufficient or not available to provide high-precision positions. In addition, the forthcoming 5G brings more possibilities of precision positioning by exploiting the massive MIMO technique.

This Special Issue aims to highlight advances in all aspects of high-precision positioning in intelligent transportation systems for different objects, including land vehicles, pedestrians, unmanned aerial vehicles (UAVs), underwater vehicles, considering GNSS signals, ground signals, and their combinations. Up-to-date reviews and original works are both accepted in this issue. Topics include but are not limited to:

  • Multi-GNSS receivers and emerging navigation satellite systems;
  • Design, prototyping, and testing of positioning devices;
  • Detection and mitigation techniques for adverse propagation conditions;
  • 5G Positioning;
  • Multisensor fusion;
  • Cooperative localization;
  • LiDAR Odometry;
  • Visual Odometry;
  • Simultaneous localization and mapping;
  • Positioning with HD maps.

Dr. Suhua Tang
Dr. Li-Ta Hsu
Prof. Nobuaki Kubo
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 submissions that pass pre-check are 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. Sustainability 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 2400 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.

Keywords

  • GNSS positioning
  • radio localization
  • cooperative localization
  • simultaneous localization and mapping
  • multisensor fusion

Published Papers (2 papers)

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Research

13 pages, 56105 KiB  
Article
AR-Based Navigation Using RGB-D Camera and Hybrid Map
by Woranipit Chidsin, Yanlei Gu and Igor Goncharenko
Sustainability 2021, 13(10), 5585; https://doi.org/10.3390/su13105585 - 17 May 2021
Cited by 13 | Viewed by 3520
Abstract
Current pedestrian navigation applications have been developed for the smartphone platform and guide users on a 2D top view map. The Augmented Reality (AR)-based navigation from the first-person view could provide a new experience for pedestrians compared to the current navigation. This research [...] Read more.
Current pedestrian navigation applications have been developed for the smartphone platform and guide users on a 2D top view map. The Augmented Reality (AR)-based navigation from the first-person view could provide a new experience for pedestrians compared to the current navigation. This research proposes a marker free system for AR-based indoor navigation. The proposed system adopts the RGB-D camera to observe the surrounding environment and builds a point cloud map using Simultaneous Localization and Mapping (SLAM) technology. After that, a hybrid map is developed by integrating the point cloud map and a floor map. Finally, positioning and navigation are performed on the proposed hybrid map. In order to visualize the augmented navigation information on the real scene seamlessly, this research proposes an orientation error correction method to improve the correctness of navigation. The experimental results indicated that the proposed system could provide first-person view navigation with satisfactory performance. In addition, compared to the baseline without any error correction, the navigation system with the orientation error correction method achieved significantly better performance. The proposed system is developed for the smart glasses and can be used as a touring tool. Full article
(This article belongs to the Special Issue High Precision Positioning for Intelligent Transportation System)
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21 pages, 3711 KiB  
Article
Full Real-Time Positioning and Attitude System Based on GNSS-RTK Technology
by J. M. Olivart i Llop, D. Moreno-Salinas and J. Sánchez
Sustainability 2020, 12(23), 9796; https://doi.org/10.3390/su12239796 - 24 Nov 2020
Cited by 5 | Viewed by 3500
Abstract
An accurate positioning and attitude computation of vehicles, robots, or even persons is of the utmost importance and critical for the success of many operations in multiple commercial, industrial, and research areas. However, most of these positioning and attitude systems rely on inertial [...] Read more.
An accurate positioning and attitude computation of vehicles, robots, or even persons is of the utmost importance and critical for the success of many operations in multiple commercial, industrial, and research areas. However, most of these positioning and attitude systems rely on inertial measurement units that must be periodically recalibrated and have a high cost. In the present work, the design of a real-time positioning and attitude system using three positioning sensors based on the GNSS-RTK technology is presented. This kind of system does not need recalibration, and it allows one to define the attitude of a solid by only computing the position of the system in the global reference system and the three angles that the relative positions of the GNSS antennas define with respect to the principal axes of the solid. The position and attitude can be computed in real time for both static and dynamic scenarios. The only limitation of the system is that the antennas need to be in open air to work at full performance and accuracy. All the design phases are covered in the prototype construction: requirement definition, hardware selection, software design, assembly, and validation. The feasibility and performance of the system were tested in both static and dynamic real scenarios. Full article
(This article belongs to the Special Issue High Precision Positioning for Intelligent Transportation System)
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