Axmann - Forschungsprojekte

Laserscanning

  • Localization and mapping using maximum consensus
    The long-term goal of this research topic is the creation of a localization and mapping algorithm, which is robust against outliers and disturbances. The research project is embedded in the Research Training Group “Integrity and Collaboration in Dynamic Sensor Networks (i.c.sens)” and primarily aims at improving integrity measures. The research is devided into two steps. In the first step, the localization considering the map as known is examined. In the second step, the problem will be extended treating the map as unknown as well.
    Leitung: Brenner
    Team: Axmann
    Jahr: 2020
    Förderung: DFG Graduiertenkolleg i.c.sens
    Laufzeit: 2016-2024