Details
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) |
| Editors | Jose Maria Cecilia, Francisco J. Martinez |
| Number of pages | 8 |
| ISBN (Electronic) | 978-1-6654-3326-6 |
| Publication status | Published - 2021 |
| Event | 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) - Valencia, Spain Duration: 27 Sept 2021 → 29 Sept 2021 Conference number: 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.
Keywords
- autonomous driving, GNSS, gpgpu, multipath, performance, traffic simulation
ASJC Scopus subject areas
- Decision Sciences(all)
- Information Systems and Management
- Engineering(all)
- Safety, Risk, Reliability and Quality
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Modelling and Simulation
Research Area (based on ÖFOS 2012)
- TECHNICAL SCIENCES
- Environmental Engineering, Applied Geosciences
- Geodesy, Surveying
- Satellite geodesy
- TECHNICAL SCIENCES
- Electrical Engineering, Electronics, Information Engineering
- Electrical Engineering, Electronics, Information Engineering
- Sensor systems
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). ed. / Jose Maria Cecilia; Francisco J. Martinez. 2021.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Low-latency GNSS multipath simulator for real-time applications in autonomous driving
AU - O´Connor, Marcus Christopher
AU - Ruwisch, Fabian
AU - Kersten, Tobias
AU - Skupin, Christian
AU - Ren, Le
AU - Wübbena, Temmo
AU - Schön, Steffen
N1 - Conference code: 25
PY - 2021
Y1 - 2021
N2 - 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.
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.
KW - autonomous driving
KW - GNSS
KW - gpgpu
KW - multipath
KW - performance
KW - traffic simulation
UR - http://www.scopus.com/inward/record.url?scp=85119092043&partnerID=8YFLogxK
U2 - 10.1109/ds-rt52167.2021.9576146
DO - 10.1109/ds-rt52167.2021.9576146
M3 - Conference contribution
SN - 978-1-6654-3327-3
BT - 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
A2 - Cecilia, Jose Maria
A2 - Martinez, Francisco J.
T2 - 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
Y2 - 27 September 2021 through 29 September 2021
ER -