Ruwisch, F.; Ren, L.; Skupin, Ch.; Kersten, T.; O'Connor, M.; Schön, S.; Wübbena, T.: Intelligent Database Architecture for High-Integrity Urban Navigation. Poster Presentation at 33rd IEEE Intelligent Vehicles Symposium IV2022, June 5-9, 2022 Aachen, Germany. Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022. DOI:
https://doi.org/10.15488/12110
Zusammenfassung: |
Accuracy, integrity and availability requirements are very stringent in urban navigation and autonomous driving. The GNSS sensor is the only one that provides self-localisation in a global coordinate system.
The challenge ist to model non line-of-sight (NLOS) and multipath scenarios in urban areas. To meeth the high accuracy requirements, these distortions has to be known and corrected. Ray-tracing approaches are real-time capable but require a high computational load.
The vision for this contribution is the correction of GNSS multipath for relaiable autonomous localisation of highly automated vehicles using an intelligent database structure.
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Lizenzbestimmungen: |
CC BY 3.0 DE - http://creativecommons.org/licenses/by/3.0/de/
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Publikationstyp: |
ConferenceObject |
Publikationsstatus: |
publishedVersion |
Erstveröffentlichung: |
2022-06-05 |
Schlagwörter (deutsch): |
Sichtlinie, innerstädtsiche Navigation, GNSS, Mehrwege
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Schlagwörter (englisch): |
Line-of-sight, urban navigation, GNSS, Multipath
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Fachliche Zuordnung (DDC): |
520 | Astronomie, Kartographie, 621,3 | Elektrotechnik, Elektronik, 520 | Astronomie, Kartographie
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