• Media type: Text; Electronic Conference Proceeding
  • Title: Intelligent Database Architecture for High-Integrity Urban Navigation
  • Contributor: Ruwisch, Fabian [Author]; Ren, Le [Author]; Skupin, Christian [Author]; Kersten, Tobias [Author]; O'Connor, Marcus [Author]; Schön, Steffen [Author]; Wübbena, Temmo [Author]
  • imprint: Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022-06-05
  • Published in: 2022 IEEE Intelligent Vehicles Symposium, IV 2022 ; IEEE Intelligent Vehicles Symposium;33
  • Issue: published Version
  • Language: English
  • DOI: https://doi.org/10.15488/12110
  • Keywords: urban navigation ; Sichtlinie ; GNSS ; innerstädtsiche Navigation ; Line-of-sight ; Mehrwege ; Multipath
  • Origination:
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  • Description: 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.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)