A Benchmarking Measurement Campaign in GNSS-denied/Challenged Indoor/Outdoor and Transitional Environments (9837) |
| Allison Kealy (Australia), Guenther Retscher (Austria), Jelena Gabela, Yan Li (Australia), Salil Goel (India), Toth Charles, Andrea Masiero (Italy), Wioleta Błaszczak-Bąk (Poland), Vassilis Gikas, Harris Perakis (Greece), Zoltan Koppanyi and Dorota Grejner-Brzezinska (USA) |
Prof Guenther Retscher,
University Professor
Vienna University of Technology
Department of Geodesy and Geoinformation
Gusshausstrasse 27-29 E120/5
1040 Vienna, AUSTRIA
Vienna
Austria
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| Corresponding author Prof Guenther Retscher, (email: guenther.retscher[at]tuwien.ac.at, tel.: 43 1 58801 12847) |
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| [ abstract ] [ paper ] [ handouts ] |
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Published on the web 2019-02-28
Received 2018-10-01 / Accepted 2019-02-01 |
| This paper is one of selection of papers published for the FIG Working Week 2019 in Hanoi, Vietnam and has undergone the FIG Peer Review Process. |
FIG Working Week 2019
ISBN 978-87-92853-90-5 ISSN 2307-4086
https://www.fig.net/resources/proceedings/fig_proceedings/fig2019/index.htm
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Abstract |
| This paper reports about a sequence of extensive experiments, conducted in GNSS-denied/challenged, indoor/outdoor and transitional environments at The Ohio State University as part of the joint FIG Working Group 5.5 and IAG Working Group 4.1.1 on Multi-sensor Systems. The overall aim of the campaign is to assess the feasibility of achieving GNSS-like performance for ubiquitous positioning in terms of autonomous, global, preferably infrastructure-free positioning of portable platforms at affordable cost efficiency. Therefore, cooperative positioning (CP) of vehicles and pedestrians is the major focus where several platforms navigate jointly together. The GPSVan of The Ohio State University was used as the main reference vehicle and for pedestrians, a specially designed helmet was developed. The employed/tested positioning techniques are based on using sensor data from GNSS, Ultra-wide Band (UWB), Wireless Fidelity (Wi-Fi), vison-based positioning with cameras and Light Detection and Ranging (LiDAR) as well as inertial sensors. The experimental schemes and initial results are introduced in this paper. The results from the experimental campaign demonstrate performance improvements due applying CP techniques. |
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| Keywords: GNSS/GPS; Positioning; Laser scanning; Photogrammetry; Low cost technology; cooperative positioning; indoor positioning; mobile mapping vehicles; sensor integration; UWB; LiDAR, inertial sensors |
