Low-latency GNSS multipath simulator for real-time applications in autonomous driving

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

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Externe Organisationen

  • Robert Bosch GmbH
  • Geo++ GmbH
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Details

OriginalspracheEnglisch
Titel des Sammelwerks2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
Herausgeber/-innenJose Maria Cecilia, Francisco J. Martinez
Seitenumfang8
ISBN (elektronisch)978-1-6654-3326-6
PublikationsstatusVeröffentlicht - 2021
Veranstaltung25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) - Valencia, Spanien
Dauer: 27 Sept. 202129 Sept. 2021
Konferenznummer: 25

Abstract

It is essential to periodically provide precise position estimations to realize fully autonomous driving in all kinds of environments, especially in dense urban areas. Global Navigation Satellite System (GNSS) technology has the potential to provide positioning accuracy at a centimetre level. In urban environments the occurrence of satellite signal reflection and diffraction, also called multipath, is a challenging source of GNSS errors. A scalable real-time multipath simulator is created to face this problem and mitigate potential multipath errors. The inputs of the simulator are 3D building data, satellite positions and vehicle positions. A GPU memory manager and a specialised load balancer allow fast multipath analysis. Experiments show that the outputs of the simulator can improve the positioning accuracy of the positioning engine. The scalability of the simulator is shown by connecting the multipath simulator with a traffic simulator.

ASJC Scopus Sachgebiete

Fachgebiet (basierend auf ÖFOS 2012)

  • TECHNISCHE WISSENSCHAFTEN
  • Umweltingenieurwesen, Angewandte Geowissenschaften
  • Geodäsie, Vermessungswesen
  • Satellitengeodäsie
  • TECHNISCHE WISSENSCHAFTEN
  • Elektrotechnik, Elektronik, Informationstechnik
  • Elektrotechnik, Elektronik, Informationstechnik
  • Sensorik

Zitieren

Low-latency GNSS multipath simulator for real-time applications in autonomous driving. / O´Connor, Marcus Christopher; Ruwisch, Fabian; Kersten, Tobias et al.
2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). Hrsg. / Jose Maria Cecilia; Francisco J. Martinez. 2021.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

O´Connor, MC, Ruwisch, F, Kersten, T, Skupin, C, Ren, L, Wübbena, T & Schön, S 2021, Low-latency GNSS multipath simulator for real-time applications in autonomous driving. in JM Cecilia & FJ Martinez (Hrsg.), 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Valencia, Spanien, 27 Sept. 2021. https://doi.org/10.1109/ds-rt52167.2021.9576146
O´Connor, M. C., Ruwisch, F., Kersten, T., Skupin, C., Ren, L., Wübbena, T., & Schön, S. (2021). Low-latency GNSS multipath simulator for real-time applications in autonomous driving. In J. M. Cecilia, & F. J. Martinez (Hrsg.), 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) https://doi.org/10.1109/ds-rt52167.2021.9576146
O´Connor MC, Ruwisch F, Kersten T, Skupin C, Ren L, Wübbena T et al. Low-latency GNSS multipath simulator for real-time applications in autonomous driving. in Cecilia JM, Martinez FJ, Hrsg., 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). 2021 doi: 10.1109/ds-rt52167.2021.9576146
O´Connor, Marcus Christopher ; Ruwisch, Fabian ; Kersten, Tobias et al. / Low-latency GNSS multipath simulator for real-time applications in autonomous driving. 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). Hrsg. / Jose Maria Cecilia ; Francisco J. Martinez. 2021.
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abstract = "It is essential to periodically provide precise position estimations to realize fully autonomous driving in all kinds of environments, especially in dense urban areas. Global Navigation Satellite System (GNSS) technology has the potential to provide positioning accuracy at a centimetre level. In urban environments the occurrence of satellite signal reflection and diffraction, also called multipath, is a challenging source of GNSS errors. A scalable real-time multipath simulator is created to face this problem and mitigate potential multipath errors. The inputs of the simulator are 3D building data, satellite positions and vehicle positions. A GPU memory manager and a specialised load balancer allow fast multipath analysis. Experiments show that the outputs of the simulator can improve the positioning accuracy of the positioning engine. The scalability of the simulator is shown by connecting the multipath simulator with a traffic simulator.",
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AU - O´Connor, Marcus Christopher

AU - Ruwisch, Fabian

AU - Kersten, Tobias

AU - Skupin, Christian

AU - Ren, Le

AU - Wübbena, Temmo

AU - Schön, Steffen

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AB - It is essential to periodically provide precise position estimations to realize fully autonomous driving in all kinds of environments, especially in dense urban areas. Global Navigation Satellite System (GNSS) technology has the potential to provide positioning accuracy at a centimetre level. In urban environments the occurrence of satellite signal reflection and diffraction, also called multipath, is a challenging source of GNSS errors. A scalable real-time multipath simulator is created to face this problem and mitigate potential multipath errors. The inputs of the simulator are 3D building data, satellite positions and vehicle positions. A GPU memory manager and a specialised load balancer allow fast multipath analysis. Experiments show that the outputs of the simulator can improve the positioning accuracy of the positioning engine. The scalability of the simulator is shown by connecting the multipath simulator with a traffic simulator.

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KW - gpgpu

KW - multipath

KW - performance

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BT - 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)

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ER -

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